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. Author manuscript; available in PMC: 2013 Jul 1.
Published in final edited form as: Psychol Bull. 2012 Apr 16;138(4):692–743. doi: 10.1037/a0027503

The Dominance Behavioral System and Psychopathology: Evidence from Self-Report, Observational, and Biological Studies

Sheri L Johnson 1, Liane J Leedom 2, Luma Muhtadie 1
PMCID: PMC3383914  NIHMSID: NIHMS355259  PMID: 22506751

Abstract

The dominance behavioral system (DBS) can be conceptualized as a biologically-based system which guides dominance motivation, dominant and subordinate behavior, and responsivity to perceptions of power and subordination. A growing body of research suggests that problems with the DBS are evident across a broad range of psychopathologies. We begin by describing psychological, social, and biological correlates of the dominance behavioral system (DBS). Extensive research suggests that externalizing disorders, mania-proneness, and narcissistic traits are related to heightened dominance motivation and behaviors. Mania and narcissistic traits also appear related to inflated self-perceptions of power. Anxiety and depression are related to subordination and submissiveness, as well as a desire to avoid subordination. Models of the DBS have received support from research with humans and animals; from self-report, observational, and biological methods; and using naturalistic and experimental paradigms. Limitations of available research include the relative lack of longitudinal studies using multiple measures of the DBS and the absence of relevant studies using diagnosed samples to study narcissistic personality disorder and bipolar disorder. We provide suggestions for future research on the DBS and psychopathology, including investigations of whether the DBS can be used to differentiate specific disorder outcomes; the need for more sophisticated biological research; and the value of longitudinal dynamical research. Implications of using the DBS as a tool in clinical assessment and treatment are discussed.


This paper reviews evidence that the dominance behavioral system (DBS) is related to psychopathology. We begin with an overview describing psychological and social outcomes associated with the DBS, as well as the paradigms that have been used to measure the behavior and biology of this system. Against this backdrop of basic literature, we review a substantial body of work suggesting that the DBS is integrally related to psychopathology. Support for the links between the DBS and abnormal behavior has emerged from a wide array of paradigms and using a wide variety of measures. These literatures have nonetheless remained in separate silos, with little cross-fertilization across studies using self-report, observational, and biological measures; across human and animal literatures or across various forms of psychopathology. Given evidence that the DBS is involved in a number of clinical diagnoses, we argue for more refined research on the mechanisms and processes linking the DBS to different psychopathologies.

Despite the variability in the terminology used by different authors and in different fields of study, there is agreement regarding the existence of such a system in all mammals and regarding the ultimate goal this system serves: namely, control over social and material resources, or what we will call power. Authors have variably referred to the DBS as the rank regulation system (Zuroff, Fournier, Patall, & Leybman, 2010), the hierarchical domain (Bugental, 2000), or the power system (Shaver, Segev, & Mikulincer, 2011). Herein, we will use the term Dominance Behavioral System, or DBS. The DBS encompasses a series of biological, psychological, and behavioral components. These components serve the organism's goal of control over social and material resources that are critical for survival and reproduction. The DBS motivates behavior, directs sensory processing, and ensures efficient, rapid learning of behaviors that increase the likelihood of attaining this goal.

The human DBS and its components evolved in the context of both competition and the need for peaceful group living. The evolution of group living did not eliminate the competitive element of social interactions, and competition is associated with costs to individuals and the social group, especially when it involves aggression (Archer, 2006a). In humans and higher primates, strategies for acquiring power, including those that provide lower-cost alternatives to direct competition, are complex. Dominance and submissive behaviors serve to regulate aggression and conflict while ensuring that dominant individuals generally have first access to the resources that garner the greatest reproductive success (Fournier, Moskowitz, & Zuroff, 2002).

The DBS and its Components

The pursuit of power begins with monitoring cues in the social environment that pose opportunities or threats to the goal of power. Such cues acquire perceptual salience over the course of development. Beginning in preschool, children appraise situations for opportunities to garner material and social resources (Hawley, 2002). Very young children also have an awareness of their own and others' ability to control these resources (Hawley, 1999), an ability which has been referred to as “resource holding potential” (Zuroff et al., 2010). Over the course of development, experiences of progress or failure toward the goal of power coalesce to form an internal working model (Hawley, 1999; Zuroff et al., 2010), which becomes an integral part of the self-concept and serves as a template to guide thoughts, emotions, and the selection of behavioral strategies related to the goal of power. Individuals use these working models to actively compare the actual state of the DBS (with respect to power) against the desired goal, to make judgments about the possibility of achieving the desired state, and to develop and enact strategies aimed at achieving power on the basis of past successes and failures. In the present paper, we will use three distinct terms to refer to the components of the DBS: dominance motivation, dominance behavior, and power, including self-perceptions thereof.

Dominance Motivation

Dominance motivation describes an individual's drive and energy to pursue power, a concept that shares much in common with Winter's (1994) definition of the power motive. Winter described individuals who wanted to feel as though they were most powerful. He noted that individuals with a high power motive tend to construe the world in terms of power and to use power in categorizing human intention. Persons motivated for dominance are likely to be more sensitive to cues signaling opportunities for, or threats to, power (McClelland, 1985; Winter, 1994). Dominance motivation appears to be bipolar in that some people strive for power whereas others try to avoid it (McClelland, 1975). Inflexibly submissive individuals, for example, do not feel comfortable with having power (Josephs, Sellers, Newman, & Mehta, 2006).

Dominance motivation predicts an array of outcomes. According to evolutionary theory, a major motive for power is to procure reproductive resources (Buss, 1981). Consistent with this theory, dominance motivation has been found to be more predictive of sexual activity than affiliation motivation, even in women (Schultheiss, Dargel, & Rohde, 2003). Dominance motivation also shapes how people define their life goals. People with high dominance motivation are more invested in obtaining the admiration and social attention of others; accordingly, dominance motivation is associated with setting life goals that are related to extrinsic admiration, such as goals of fame and wealth (Duriez, Vansteenkiste, Soenens, & De Witte, 2007).

Dominance Behavior

Individuals with high dominance motivation are more likely to engage in dominance behaviors. These are the strategies, or DBS outputs, enacted in the service of attaining power. Definitions of dominance behavior have varied across fields. For ethologists, dominance behaviors are typically defined by examining outcomes of aggressive interchanges with conspecifics. In research with non-human primates, for example, dominance behavior is typically described in the context of a dyadic interaction in which one member of the dyad expresses aggressive behavior or gestures that signal aggression, and the other responds with submissive behavior (Bernstein, 1980; Dunbar, 1988). In coding dominance hierarchies, animal researchers also take into account submissive behaviors, or those that might avoid conflict, such as abandoning food when another animal approaches (Sapolsky, 1990).

Definitions of dominance behavior in human research tend to be broader than those in ethology in two ways. First, rather than focusing on the outcome of encounters, research psychologists often focus on behaviors that are enacted in an effort to enhance power (Anderson & Kilduff, 2009), irrespective of their success in actually achieving this goal. Second, dominance behaviors in humans are not confined to competitive behaviors; they also include behaviors aimed at ingratiating oneself to authorities, coalition building, and assertiveness (Mazur & Booth, 1998). Shaver, Segev, and Mikulincer (2011) incorporate behaviors such as asserting one's dominance, authority, rights, or competence; expressing confidence in one's strengths, values, and opinions; deterring others from competing for or exerting control over one's resources; and verbally or physically attacking (or threatening to attack) others until power is restored. Gilbert (1997) describes behaviors designed to promote social status and inclusion, including efforts to enhance how much one is liked, valued, respected, and wanted.

This emphasis on both prosocial and aggressive forms of dominance behavior is captured by the interpersonal circumplex model in which social behavior is represented by two orthogonal axes: dominance/submissiveness and warmth/hostility (Gurtman, 1992; Horowitz, 2004; Kemper, 1990; Leary, 1957). The interpersonal circumplex has been used both to describe behaviors in a specific situation and to consider trait-like behavioral tendencies across situations. Within this model, different manifestations of dominance behavior are differentiated along the warmth/hostility dimension (Wiggins, 1979). Dominance coupled with hostility can involve antisocial strategies for taking resources and threatening subordinates, such as manipulative behavior, intimidation, and social or physical aggression. Dominance coupled with warmth can take prosocial forms, such as alliance formation and cooperation, reciprocoal resource exchange, engagement in high status (socially valued) behaviors, leadership, and persuasion (Hawley, 2002). Dominance and aggressive behavior frequently co-occur (Graham-Kevan & Archer, 2009; Winstok, 2009), but even in non-human primates, prosocial dominance strategies may be more effective in procuring power than aggressive strategies (de Waal, Aureli, & Judge, 2000). One important developmental goal in humans is to learn socially competent ways to achieve dominance flexibly, using prosocial strategies (Hawley, 2002). Indeed, rates of physical aggression are highest in preschool and diminish with adequate socialization (Tremblay, 2002). Thwarted dominance strivings are more likely to provoke withdrawal or aggression earlier in development, but as children acquire self-regulatory skills, dominance motivation manifests in more adaptive strategies and thus becomes associated with social success (Schaal, Tremblay, Soussignan, & Susman, 1996).

Power

Power has been defined as “the ability to provide or withhold valued resources or administer punishments” to others (Anderson & Berdahl, 2002, p. 1362). Resources may be physical or social, such as higher esteem from others, praise, and positive attention (Hawley, 1999). Power can be distinguished from, but nonetheless subsumes, rank or status, which tend to have positive connotations. Rank is typically used to describe the individual's relative position in a hierarchical cultural, political, or economic domain (e.g., prime minister, military general, or member of the upper class), whereas status describes the ability to gain the respect and social attention of other individuals (Gilbert, 1997). Kemper (1990), for example, has defined status as the ability to achieve one's goals with voluntary compliance from others. Status is likely to be based in part on respected abilities, such as intellect or interpersonal skill, which enable an individual to more easily procure resources (Barkow, 1989). In keeping with this idea that power can be achieved through the respect and admiration of others, one index of power is the extent to which others confer attention upon a target individual (Hawley, 2007). In one experiment, rhesus macaques traded rewards for the opportunity to view images of high status macaques but required rewards to view images of low status macaques (Deaner, Khera, & Platt, 2005). In humans, Gilbert (1997) referred to this ability to garner others' respect and attention as “social attention holding potential.” Herein, we will use the term power to refer broadly to the ability to control resources, regardless of whether this is achieved using aggressive, coercive, or prosocial strategies.

Although individuals tend to show some consistency in their self-perceptions of power across relationships (Anderson, John, & Keltner, 2010), an individual's level of power is likely to vary across social contexts. For example, a man who perceives himself as subordinate in his position as a mailroom worker of a large corporation may feel respected and admired in his role as church deacon or captain of his weekend softball team (Sapolsky, 2004). Although most individuals flexibly calibrate their dominance motivation and behaviors so that they are commensurate with these shifts in power experienced across contexts, some individuals demonstrate rigid or context-insensitive patterns of submissive or dominant behavior such that these behaviors become maladaptive. It is this latter phenomenon that has tended to be the focus of research linking the DBS to psychopathology.

Power and powerlessness have profound psychological and physiological sequelae. In a comprehensive review of the literature, Keltner and colleagues (2003) theorized that because power enhances access to rewards, it activates the approach system, a neurobiological system that facilitates motivation and behavior in the pursuit of rewards (Depue & Collins, 1999). As a consequence of this approach system activation, many different motivational, cognitive, and behavioral outcomes of power are expected. Power has been associated with greater positive emotion, more confidence, more automatic (rapid) cognitive processing, and more expressivity (Anderson & Galinsky, 2006; Berdhal & Martorana, 2006). Power also relates to a bias to detect sexual opportunities in ambiguous situations and to more sexually flirtatious behavior (Gonzaga, Keltner, & Ward, 2008). In addition to activating the approach system, power is also thought to deactivate the behavioral inhibition system, rendering individuals less sensitive to potential threats and thus more impulsive (Keltner et al., 2003). Accordingly, power is related to some frankly negative outcomes, including more social norm violations (Magee & Langner, 2008), diminished social sensitivity and attention to others (Keltner & Robinson, 1997; Operario & Fiske, 2001), and a diminished compassion for others when they are experiencing distress (van Kleef et al., 2008).

Powerlessness (and self-perceptions thereof) has been the focus of substantial research. People who are powerless are more vulnerable to social and material threats (Hall, Halberstadt, & O'Brien, 1997) and to losing the favor of powerful others. Powerless individuals are more likely to encounter interference from others when approaching potential rewards (Anderson & Berdahl, 2002; Keltner et al., 2003), and they tend to be aware of these social threats and constraints on their behavior. Powerlessness is proposed to activate the behavioral inhibition system, which increases reactivity to cues of threat. Powerless persons may over-estimate social threats, such as being disliked or rejected (Langner & Keltner, 2008).

The DBS and Emotion

The emotional concomitants of the DBS have been well studied. When power is threatened, anger is a likely emotional outcome and even likelier when dominance motivation is high (Archer & Webb, 2006). Other work has focused on the self-conscious emotions of pride and shame, which are seen as representing opposite ends of a dimension of internalized schemas of dominance/subordination status (Weisfeld & Wendorf, 2000). Both emotions are based on self-evaluations of one's ability to achieve valued social outcomes (Mascolo & Fischer, 1995). Pride has been conceptualized as an emotion triggered by the perception that one is doing well in meeting social standards that would garner the respect and attention, or social attention holding potential, of others (Tracy & Robbins, 2007b). Tracy and Robbins (2007a) have further differentiated between two types of pride: authentic and hubristic. Whereas the former is based on a specific action or accomplishment, the latter stems from global attributions of one's value that may not be founded in specific actions or accomplishments. Shame is triggered when an individual perceives the self as unattractive to others, or when social attention holding potential is low (Gilbert, 2007). Shame can be triggered by hostile interactions with dominant others (Gilbert & Irons, 2005) and is associated with submissive behavior (Gilbert, 2000a). Nonverbal expressions of shame involve hiding the self, such as averting one's gaze and covering one's face with the hands (Mascolo & Fischer, 1995). Internal sensations include feelings of inferiority, decreased confidence, and lower self-perceived status (Wicker, Payne, & Morgan, 1993).

The affective and cognitive repercussions of attaining – or failing to attain – power are likely to differ based on a person's level of dominance motivation. Theory (McClelland, Koestner, & Weinberger, 1989) and research (Chen, Lee-Chai, & Bargh, 2001; Fodor & Wick, 2009) suggest that high dominance motivation leads to greater reactivity to changes in power. People with high dominance motivation have been found to demonstrate more emotional reactivity when faced with dominance challenges (Fodor, Wick, & Hartsen, 2006). By contrast, some individuals are motivated to pursue submissive roles and when placed in positions of power, and these individuals exhibit cognitive performance decrements during competition (Josephs et al., 2006). Thus it appears crucial to consider dominance motivation and power conjointly in predicting outcomes.

Assessing the Human Dominance Behavioral System

Many different assessment approaches have been used to measure the components of the DBS (see Table 1). Key approaches include self-report, observational, and biological indices. We briefly review the advantages and disadvantages of each approach.

Table 1. Commonly Used Self-Report Measures of DBS-Relevant Constructs.

Scale Content Format Reliability Validity
California Psychological Inventory Dominance Scale
(CPI Do; Gough & Bradley, 1996)
Dominance behavior 46 true/false statements covering self-rated leadership, persistence, confidence, assertiveness, persuasiveness, and social initiative Internal consistency, alpha =.83; test-retest reliability (r): One-year =.67, 5-year =.65, and 25-year =.82 Positively correlated with the Personality Research Form Dominance, rs=.71 to .78; 16PF Dominance, r=50; and NEO-PI-R Assertiveness, r =.55 scales.
Personality Research Form – Dominance scale
(PRF Do; Jackson, 1999)
Dominance motivation and behavior 16 true/false items covering self-rated dominance and use of/comfort with dominance behaviors Internal consistency, alpha =.85Two-week test-retest reliability =.91 Positively correlated with the California Psychological Inventory Dominance, rs =.71 to .78, and 16PF Dominance, r =.48 scales
Multidimensional Personality Questionnaire – Social Potency scale
(MPQ SPS; Tellegen & Waller, 2008)
Dominance motivation and behavior 14 true/false self-report items covering persuasiveness, strength, leadership, and enjoyment of dominance Internal consistency, alpha =.87 Thirty-day test-retest reliability, r =.82 Positively correlated with a leadership measure, r=.45
Pleasure-Arousability-Dominance Scales
(PAD Do; Mehrabian, 1995a; Mehrabian, 1995b, 1995c; Mehrabian, 1996)
Dominance motivation and behavior 26 statements covering self-rated dominance-submissiveness behavior Internal consistency, alpha =.91 Dominance Scale is positively correlated with Extraversion, Achieving Tendency, Autonomy, and Aggression
Rank Style with Peers Questionnaire
(RSPQ; Zuroff et al., 2010)
Strategies for pursuing power: 3 subscales 17 items covering self-rated Dominant Leadership, Ruthless Self-Advancement, and Coalition Building One month test-retest reliability, rs =.62 for Dominant Leadership, .56 for Coalition Building, .67 for Ruthless Self-Advancement Factor-analytic studies support the 3 subscales. Dominant Leadership is elevated in narcissism and is negatively correlated with anxiety and depression. Ruthless Self-Advancement is elevated in narcissism and psychopathy
Submissive Behavior Scale
(SBS; Allan & Gilbert, 1997)
Submissive behavior/low self-perceived power 16 items covering self-rated frequency of engaging in submissive social behavior Internal consistency, alpha =.89, four-month test-retest r=.84 Negatively correlated with assertive behavior subscales, rs=-.41 to -.51
Sense of Power Scale
(Pow; Anderson & Galinsky, 2006)
Self-perceived power 8 statements reflecting self-perceived power in relation to others Internal consistency, alpha =.88 Positively correlated with actual standing in power hierarchies
Authentic and Hubristic Pride Scales
(AHPS; Tracy & Robbins, 2007a)
Authentic and hubristic pride 14 items covering self-rated tendencies to feel authentic pride (form of pride based on specific actions and abilities) and hubristic pride (form of pride based on global self-perceptions) Internal consistency, alpha =.84 to .88 for Authentic Pride, .87 to .90 for Hubristic Pride Confirmatory factor analyses support a two-factor solution differentiating authentic from hubristic pride. Authentic Pride is positively correlated with self-esteem, r =.44, and negatively correlated with shame-proneness, r=-.28. Hubristic Pride is positively correlated with shame-proneness, r=.09 and negatively correlated with self-esteem, r=-.14.
Adapted Shame and Guilt Scale (ASGS; Hoblitzelle, 1982) Shame proneness 16 items covering self-rated tendencies to experience shame Internal consistency, alpha =.83 to .86 Two-week test-retest reliability, r =.93 Factor analyses support a two-factor solution differentiating Shame from Guilt
Personal Feelings Questionnaire-Revised
(PFQ-2; Harder & Zalma, 1990)
Shame proneness 10 items covering self-rated tendencies to experience shame Internal consistency, alpha =.78, two-week test-retest reliability, r =.91 Factor analyses support a two-factor solution differentiating Shame from Guilt.
Test of Self-Conscious Affect Shame Proneness subscale
(TOSCA; Tangney, Burggraf, Hamme, & Domingos, 1988)
Affective, cognitive, behavioral responses associated with shame proneness Participants rate their likelihood of shame in response to a series of brief scenarios Across four studies, internal consistency, alphas =.74 to .82, one to five week test-retest reliability, r =.79. Positively ccorrelated with Shame subscale of Adapted Shame and Guilt Scale, rs=.39 to .43 across two studies.
Attention to Social Comparison Information Scale
(CAS; Lennox & Wolfe, 1984)
Sensitvity to/motivation to avoid, social disapproval 13 self-rated items covering attention to social comparison information Across nine undergraduate samples, internal consistency, alphas =.79 to .90 Positively correlated with neuroticism, r=0.29, and fear of negative evaluation, r=0.64, negatively correlated with self-esteem
Iowa-Netherlands Comparison Orientation Measure
(INCOM; Gibbons & Buunk, 1999)
Tendency to engage in social comparison 11 items covering people's tendency to compare themselves with others Internal consistency, alphas =.78 to .85 across 22 samples, one-year test-retest reliability, r = .60 Positively correlated with measures of conformity and other-orientation, such as public self-consciousness, rs=.38 to .49, and with neuroticism measures, rs=.28 to .37.
Social Comparison Scale
(SCS; Allan & Gilbert, 1995)
Social comparison on dimensions relevant to power 11 self-rated items comparing individual to others along dimensions of inferior-superior, incompetent-competent, unlikable-likable Internal consistency, alpha =.88 to .91 Perceptions of poor social comparison correlated with neuroticism, r =-.41.
MacArthur Scale of Subjective Social Status
(SES ladder; MacArthur Research Network on SES and Health, 2007)
Perceived social status A picture of a 10-rung ladder presented. Respondents are asked to “think of this ladder as representing where people stand in society…” and to place an ‘X’ on the rung on which they feel they stand. Not applicable (this is a single item scale) Scores have been related to childhood SES, education, employment, income, satisfaction with standard of living, and feelings of financial security. Cross-culturally, low scores have been associated with a range of health indices, including depression, cardiovascular risk, diabetes, respiratory illness, and mortality
Picture Story Exercise Need for Power scale
(PSE N Pow; Winter, 1992, 1994)
Implicit motives for power Eight pictures depicting various scenes are briefly presented. Respondents are given five minutes to write a story about what is happening in each scene. Scores are based on the frequency of power themes. Internal consistency, alpha =.78 to .86. Two-week test-retest reliability r =.39 (Schultheiss, Liening, & Schad, 2008) Higher Need for Power predicts testosterone increases after victory and decreases after defeat in dominance contests with rigged feedback (Schultheiss et al., 1999, 2005)
Implicit Association Test
(IAT; Greenwald et al., 1998)
Dominance-relevant self-schemas Participants are presented with dominance and submissiveness words on a computer and asked to repond whether these words fit into categories pertaining to ‘self.’ Dominant individuals respond quickly when dominance and ‘self’ words are paired. Several versions of the IAT have shown acceptable internal consistency Achieves higher correlations with laboratory measures of dominant behavior than do self-rating scales

Self-Report Measures

Self-report measures are popular, in part because of their ease of administration, but also because scales have been developed to index the separable components of the DBS – namely, dominance motivation, dominance behavior, self-perceived power and shame. The most commonly used self-report measure of dominance motivation is the dominance subscale of the Personality Research Form (PRF), but as shown in Table 1, many other broad personality scales include subscales to assess dominance behavior or motivation. Validation studies indicate that self-reported dominance motivation, dominance behavior, self-perceived power, and the related emotion of shame can be reliably distinguished from other social and psychological traits, such as need for achievement (Mudrack, 1993). Two caveats are important, though. First, many self-report instruments contain items that combine both motivational and behavioral components of the DBS. Second, self-report ratings of dominance motivation and behavior may be susceptible to systematic biases. For example, dominance ratings have been found to correlate with overly positive self-ratings of task performance (Jackson, Stillman, Burke, & Englert, 2007) and with measures of social desirability (Mehrabian, 1996).

Implicit Measures

To address the influence of self-awareness and presentational biases, several implicit measures of dominance motivation have been developed in order to capture more automatic processes (Sheldon, King, Houser-Marko, Osbaldiston, & Gunz, 2007), such as the Picture Story Exercise Need for Power Index (PSE N Pow; Winter, 1992, 1994) and the Implicit Association Test (IAT; Greenwald, McGhee, & Schwarz, 1998). Implicit measures of dominance motivation tend to have low but significant correlations with each other and with explicit measures of dominance motivation (Schultheiss, Yankova, Dirilikvo, & Schad, 2009; Sheldon et al., 2007). As shown in Table 1, implicit measures of dominance motivation have also demonstrated strong validity in predicting emotions, behavior, and biological indices in laboratory studies of social dominance.

Observational Measures

Observational studies have assessed dominance motivation and behavior in children and adults within institutional and laboratory settings. Researchers have used judges', caretakers', and peers' ratings of live and videotaped interactions. Empirical work has shown that individual differences in dominance can be reliably rated as early as toddlerhood (Hawley & Little, 1999; Russon & Waite, 1991) and the preschool years (Roseth, Pellegrini, Bohn, Van Ryzin, & Vance, 2007). For example, by preschool, some children demonstrate higher rates of directive behavior than others, and these children are more likely to succeed in a conflict over possession of an object, more likely to initiate interactions, and less likely to be submissive in a conflict (Boyce, 2004). Toddlers and preschoolers who are rated as more dominant are looked at more by peers in observations of group play situations and are rated as more likeable by their peers (Hawley, 2002). In studies of children, caretakers can effectively rate which children tend to win disputes and control resources, and these ratings appear to have validity in predicting other social and personality scales (Hawley, 2002).

Biological Measures

Although the DBS is likely to involve a host of biochemical substrates, salivary and serum (free) testosterone (i.e., not bound to a carrier substance in the blood) have been the most frequently studied biological indices of this system (Schultheiss & Wirth, 2008). Free testosterone is correlated with self-report, observational, and implicit measures of dominance motivation in healthy adult men and women (Archer, 2006a, 2006b; Grant & France, 2001; Mazur & Booth, 1998; Schultheiss et al., 2005; Sellers, Mehl, & Josephs, 2007). Testosterone also seems to correlate with several other facets of the DBS.

For example, testosterone has been consistently shown to correlate with dominance behaviors (Archer, 2006a). Single measurements of basal testosterone have been found to predict ratings of dominance behavior in laboratory paradigms (Grant & France, 2001; van Honk et al., 1999) and among adolescents (Udry, 1988) and college roommates (Cashdan, 1995) in naturalistic settings. Basal testosterone has also been found to predict more extreme dominance behaviors: in a large prison study, male inmates with a history of violent interpersonal crimes had higher basal testosterone levels than did those with a history of property crimes. Moreover, basal testosterone levels predicted more rule-breaking within the prison setting, especially rules involving overt confrontation (Dabbs, Carr, Frady, & Riad, 1995). Just as high testosterone individuals display more dominance behaviors (i.e., behaviors aimed at achieving or maintaining power), low testosterone individuals appear motivated to maintain low status (Mehta, Wuehrmann, & Josephs, 2009). For example, when experimentally placed into a high status position, individuals with low testosterone showed evidence of discomfort, including increases in emotional and autonomic arousal, poorer performance on complex cognitive tasks, and greater implicit attention to status.

Some studies suggest that high testosterone is also related to aggressive behavior, defined by intent to inflict harm of a psychological, social, material, or physical nature (Mazur & Booth, 1998; Parrott & Giancola, 2007). Researchers have found that testosterone predicts a range of aggressive behaviors (Windle & Windle, 1995), including bullying in the work place (Parkins, Fishbein, & Ritchey, 2006), violence of men towards their wives (Booth, Mazur, & Dabbs, 1993), fighting and confrontations in prisons (Dabbs et al., 1995), and willingness to administer larger shocks to competitors in laboratory studies (Berman, Gladue, & Taylor, 1993). Nonetheless, findings of meta-analyses suggest that testosterone administration does not consistently increase aggressive behavior compared to placebo, and that naturalistically occurring testosterone levels are more robustly correlated with dominance traits than with aggressive personality traits (Archer, 2006a). Taken together, these findings suggest that the effects of testosterone on aggressive behavior may be mediated by dominance motivation (Archer, 2006a). Testosterone may predict the use of a range of dominance behaviors, both aggressive and non-aggressive, particularly when individuals with high dominance motivation experience challenges to power.

Testosterone also appears to be related to self-perceived power and its behavioral concomitants. We noted earlier that power is related to greater reward sensitivity, more approach behavior, and higher levels of confidence. Consistent with this, higher testosterone levels have been found to predict greater confidence (Carré & McCormick, 2008; Cashdan, 1995), and a range of social approach behaviors in laboratory and naturalistic settings, including more forwardness in approaching an older person, greater speed in approaching a younger woman, a more relaxed and confident style during dyadic interactions, and greater sexual activity, including higher rates of heterosexual partners and sexual infidelity (Dabbs, Bernieri, Strong, Campo, & Milun, 2001; Dabbs & Morris, 1990; Daitzman & Zuckerman, 1980; Egan & Angus, 2004). Other studies suggest that high testosterone, like power, relates to diminished sensitivity to threat. For example, low testosterone is associated with potentiation of the startle response (Hermans, Putman, Baas, Koppeschaar, & van Honk, 2006), exaggerated skin conductance responses to negatively valenced stimuli (van Honk et al., 2004), and sensitivity to loss (van Honk et al., 2004). Also congruent with findings regarding power, high testosterone relates to lower interpersonal sensitivity, indexed by diminished tendencies to mimic others' facial expressions (Hermans, Putman, & van Honk, 2006) or attend to fearful faces (van Honk, Peper, & Schutter, 2005). Given these effects on interpersonal interactions, it is perhaps not surprising that high testosterone has also been related to less chance of becoming or staying married (Dabbs & Morris, 1990), and to poorer quality of marital and parental relationships (Booth et al., 1993; Gray, Kahlenberg, Barrett, Lipson, & Ellison, 2002; Julian & McKenry, 1989).

Research on testosterone also provides insight into the reinforcing properties of dominance behavior. An increase in power often leads to an increase in testosterone (Archer, 2006a). Animal research suggests that increases in testosterone are highly reinforcing. For example, rodents will self-administer testosterone via oral, intravenous and intracerebroventricular routes, sometimes to the point of death (Wood, 2004). Testosterone has been shown to amplify activity of the nucleus accumbens, a key region in the approach system (Hermans et al., 2010). In humans, testosterone is a schedule III controlled substance because of the potential for abuse (US DEA, 2009).

Importantly, testosterone does not operate in isolation. Testosterone function is guided by other hormones and interacts with other neurotransmitter systems that are centrally involved in various psychological disorders. The function of the testosterone system is intricately woven together with stress reactivity and cortisol. Heightened cortisol levels appear to diminish sensitivity to testosterone (Shirtcliff, Granger, Booth, & Johnson, 2005) and testosterone also suppresses cortisol reactivity to stress (Kirby, Geraghty, Ubuka, Bentley, & Kaufer, 2009; Williamson, Bingham, & Viau, 2005). Dopamine is involved in approach motivation (Depue & Collins, 1999), which, as previously mentioned, is a major correlate of power (Keltner et al., 2003). Dopaminergic neurons in the nucleus accumbens encode the expected value of rewards (Salamone, Correa, Farrar, Nunes, & Pardo, 2009; Schultz, 2009), and increases in power and testosterone both have been found to amplify activity of the nucleus accumbens (Hermans et al., 2010; Zink et al., 2008). Animal research has shown that social defeat reduces serotonin function (McGuire & Troisi, 1998) and that testosterone administration improves serotonin function (Clark & Henderson, 2003). Improved serotonin function also can increase dominance behavior (Tse & Bond, 2002). Given that dopamine and serotonin regulate a broad range of basic reward- and emotion-relevant processes (Carver, Johnson, & Joormann, 2008), and that cortisol levels shift with a wide range of stressors (Dickerson & Kemeny, 2004), we do not review dopamine, serotonin, or cortisol here.

There are substantial gender and age differences in testosterone levels, and these will be important for interpreting some of the mixed findings regarding psychopathology. Boys demonstrate much more of an increase in testosterone with age and puberty than do girls (Matchock, Dorn, & Susman, 2007). After puberty, testosterone levels are more varied and show stronger diurnal rhythms in boys than in girls (Granger et al., 2003). By late life, men's testosterone levels diminish to half of the levels observed during their thirties (Gavrilova & Lindau, 2009). A significant percentage of men over the age of 40 show clinically low testosterone levels (Bassil, Alkaade, & Morley, 2009). In adolescence and early adulthood, women's testosterone levels are about one-third as high as those observed among men (Shirtcliff, Dahl, & Pollak, 2009). Testosterone declines more gradually in women than in men, such that by late life, older women tend to have testosterone levels that are about half of those observed among men (Gavrilova & Lindau, 2009). The higher prevalence of depression and lower prevalence of externalizing disorders in women compared to men (Kessler, 2003; Kessler et al., 2003a), as well as the higher risk of externalizing disorders in younger populations, provides an important rationale for studying the effects of sex hormones on psychopathology (Brown et al., 2008).

Summary of Approaches for Assessing the DBS

Multiple paradigms are available for assessing the DBS, and each of these has its weaknesses and strengths. In terms of weaknesses, self-report measures are subject to reporting biases, observational data tend to illuminate constructs in only one context and are expensive to gather (Rothbart & Bates, 2006), and biological studies fall short of identifying the specific facets of the DBS that might be involved in the observed responses and behaviors. These limitations, inherent in any single paradigm, are best addressed by considering convergent findings across multiple paradigms. Self-report measures are designed to pinpoint specific DBS components (i.e., dominance motivation, behavior, power) and allow the researcher to gather data about a person's predispositions over long periods of time and across contexts. Implicit measures may avoid some of the biases of self-report measures. Naturalistic observations provide greater objectivity and help elucidate how a person responds in a specific context. Biological measures circumvent deliberate or unconscious biases in responding. We consider evidence from each of these measurement approaches as we review the relations of the DBS to psychopathology.

Dominance Behavioral System: Links to Psychopathology

Thus far, we have reviewed evidence from self-report, observational, and biological studies that linked the DBS to physiological, social, and psychological characteristics. Specifically, this research suggests that the DBS guides a broad range of affective, cognitive, and social parameters. In the forthcoming section, we describe how inflexible or extreme manifestations of these DBS-relevant motivations and behaviors relate in important ways to several psychopathologies. We begin by describing findings regarding externalizing syndromes, we then turn our attention to narcissistic personality traits and mania, and finally, we cover depression and anxiety disorders. Although DBS models have been developed for other disorders (cf. paranoia; Gilbert, Boxall, Cheung, & Irons, 2005), we have chosen to focus on those that have yielded substantial empirical research related to the DBS.

Externalizing Syndromes

In this section, we will consider conduct disorder and disruptive behavior disorders in children, and antisocial personality disorder, psychopathy, and alcohol/substance abuse in adults. These conditions have been found to be highly correlated (Krueger, McGue, & Iacono, 2001) and to involve shared genetic vulnerability (Kendler, Prescott, Myers, & Neale, 2003). As we shall discuss, models and evidence concerning the DBS also suggest strong parallels.

Disruptive behavior disorders in children include conduct disorder and oppositional defiant disorder. Conduct disorder is defined by aggression, property destruction, deceitfulness, theft, or rule violation. Oppositional defiant disorder is defined by a pattern of aggressive, noncompliant, defiant, and argumentative behavior that lasts for at least 6 months and causes significant impairment in either social or academic functioning (APA, 2000a). Antisocial personality disorder, which is diagnosed in adulthood but often manifests in childhood as conduct disorder, is defined by persistent and pervasive disregard for, or violation of, the rights of others (APA, 2000). Although there is significant overlap between antisocial personality disorder and psychopathy, diagnosis of the latter is distinguished by an emphasis on internal and psychological traits. That is, scales designed to measure psychopathy typically include emotional traits (e.g., a lack of shame, guilt, or remorse), interpersonal traits (an absence of empathy, an egocentric perspective), and behaviors reflecting poor self-control (e.g., impulsive behavior, difficulty maintaining employment, and financial debt; Hare, 1991, 2003).

Theory

In evolutionary models of the DBS and externalizing disorders, authors have emphasized how biological variability in dominance motivation might be adaptive at a group level, and how contextual factors might also influence the adaptiveness of dominance behaviors. Most theory in this area has focused on antisocial behavior and psychopathy. Price (1967) has theorized that from an evolutionary perspective, groups with stably established dominance hierarchies would have an advantage in procuring food, safety, and other resources. Given that individual differences in dominance motivation and behavior are likely to facilitate the establishment of such hierarchies, it is plausible that evolutionary pressures would select for the biological substrates undergirding individual differences in dominance motivation and behavior. One consequence of this variability is that some persons will demonstrate extremely high levels of dominance motivation and behavior, and such extremes are hypothesized to produce pathological syndromes, such as antisocial and psychopathic traits. Many authors have suggested that psychopathic/antisocial traits might have evolutionarily adaptive benefits in terms of enhancing mating success and procuring resources in the short-term (Glenn, Kurzban, & Raine, 2011), albeit at the expense of longer-term attachments. This idea is supported by at least one study that found psychopathy to be associated with greater frequency of poaching the mates of others (Jonason, Koenig, & Tost, 2010).

Theory also emphasizes that both the likelihood and benefits of extreme dominance in the form of psychopathic/antisocial behavior will be context-dependent (Glenn, Kurzban, et al., 2011). For example, scarcity and uneven distribution of resources will amplify tendencies toward dominance behavior. Other authors have suggested that individual or social characteristics that place a person at a competitive disadvantage for garnering resources and mating opportunities will increase the likelihood of psychopathy and antisocial personality disorder. In support of this idea, these disorders are correlated with poverty, lower intelligence, large number of siblings, and poorer social skills (Mealy, 1995). In sum, theory has related externalizing syndromes, and particularly antisocial and psychopathic traits, to extreme levels of dominance motivation and behavior. The excessive pursuit of power at the expense of forming longer-term social attachments is theorized to be driven by a confluence of factors, including biology, social-context, and individual differences related to the ability to garner resources by various means.

The symptoms of many different externalizing disorders as defined by the DSM-IV-TR are consistent with excessively dominant behavior (APA, 2000). For example, the diagnostic criteria for oppositional defiant disorder include lack of acceptance of authority. Similarly, many of the features of antisocial personality and psychopathy overlap substantially with traits shown to be highly correlated with self-perceived power (Keltner et al., 2003), such as impulsivity, grandiosity, increased sexual activity, decreased behavioral inhibition, and decreased empathy. The proposed DSM-5 diagnosis for antisocial personality disorder features symptoms of entitlement and power-seeking (APA, 2011).

Self-Report and Observational Findings

As shown in Table 2, several researchers have noted that the Multidimensional Personality Questionnaire Social Potency subscale (Tellegen & Waller, 2008) – a measure of dominance motivation – is correlated positively with externalizing symptoms, including psychopathy scores (Hall, Benning, & Patrick, 2004; Hicks, Markon, Patrick, Krueger, & Newman, 2004), non-comorbid conduct disorder diagnoses (Krueger, Caspi, Moffitt, Silva, & McGee, 1996), and substance abuse diagnoses (Krueger et al., 1996). Moreover, dominance motivation predicts externalizing behavior in studies involving both men and women (Carey, Henson, Carey, & Maisto, 2007; Krueger et al., 1996). A broad measure of self-reported dominance motivation and behavior has also been found to correlate with externalizing in the form of criminal behavior (Costello & Dunaway, 2003). As mentioned previously, people who are motivated to achieve dominance are expected to be more concerned about cues of power or status (Winter, 1994), and indeed, concern about dominance, as measured with the Iowa-Netherlands Comparison Orientation Measure, has been found to correlate with heavy drinking in a large college student sample (Carey et al., 2007).

Table 2. Studies of the DBS in Externalizing Disorders.
Author and Year Sample Gender Age DBS Measure Externalizing Measure Results
Self-Report and Observational Findings
Benning et al. (2005) 353 individual twins Male Born 1961-1964 MPQ SPS PPI FD Dominance motivation correlated with psychopathy, r =.49.
*Cale & Lilienfeld (2006) 98 inmates Male 18-59; M =23.7 PETQ, designed to capture angry responses to power threats; disciplinary reports of incidents involving ego threats PPI combined with the SRP-II Psychopathy correlated with reactivity to power threats challenges as measured by the PETQ, r =.43 and by disciplinary reports, r =.37.
Carey et al. (2007) 495 undergraduates Both College aged INCOM RAPI Frequent social comparison was correlated with alcohol problems, r =15.
Costello & Dunaway (2003) 377 middle and high school students 47% male M =15 Dominance was evaluated using 7 items from the NPI to capture perceived superiority over others and the importance of achieving superiority 22-item index of criminal behaviors Dominance was correlated with criminal behavior, r =.22.
Edens (2009) 1062 inmates Male M =34 PAI Dom scale PAI Antisocial and Externalizing scales Although most inmates had elevated PAI scores, dominance behavior correlated with antisocial symptoms, r =.07.
Hall et al. (2004) 310 inmates Male ≤ 45; M =31.5 MPQ SPS PCL-R FD Dominance motivation correlated with psychopathy, r =.38
Hicks et al. (2004) 215 prisoners Male M high psychopathy =31.1
M low psychopathy =30.5
MPQ-BF SPS PCL-R ≥ 30 or ≤ 20 In cluster analyses, dominance motivation was higher in individuals scoring higher (vs. lower) on psychopathy.
Kosson et al. (1997), Study 2 92 undergraduates 49% male 17-45 IM-P, a measure covering dominant behaviors PCL-SV Dominance behavior correlated with psychopathy, r =.50.
*Krueger et al. (1996) 897 Dunnedin community residents 52% male 18 MPQ SPS DIS substance dependence and conduct disorder diagnoses Conduct disorder and substance dependence diagnoses were associated with elevated dominance motivation.
Patrick et al. (2006) 89 offenders Male M =32.5 PAI DOM scale PCL-R FD subscale Dominance behavior correlated with the psychopathic trait of Fearless Dominance, r =.50.
*Tarter et al. (2007) 179 students Male M=11.62 at baseline DPQ SPS combined with rule-breaking K-SADS Substance Use Disorder Path analysis indicated that a combined index of dominant behavior and rule breaking predicted substance use disorder at age 22.
Verona et al. (2001) 313 prison inmates Male M =32.4 MPQ SPS PCL-R The psychopathic trait of fearless dominance (PCL-R FD) correlated more with dominance motivation (MPQ SPS), r =.30, than with nine other MPQ scales.
Vitacco & Kosson (2010) 592 European inmates Male M =26.09 IM-P: ratings of dominance behavior during an interview PCL-R Dominance behavior correlated with psychopathy, r =.30.
Biological Findings

Aromäki et al. (1999) 13 prisoners convicted of violent crimes and 16 controls Male Adult Blood serum T levels Semi-structured interview for DSM-III-R antisocial personality disorder AM and PM T levels correlated with antisocial personality disorder in violent men, r =0.50, but not in controls.
*Booth et al. (2003) 400 children in working and middle class families with at least two children Both 6-18; M =13 AM saliva total T, adjusted for sampling time and pubertal status RBS In regression analyses, T correlated with risky behavior, particularly in boys with poor parental relationships. T correlated with risky behavior only among those girls with poor mother-child relationships.
Booth & Osgood (1993) 4,462 Vietnam veterans Male 30-44 AM Serum T Criminal behavior index T correlated strongly with adult criminal behavior, but only among men with low social integration.
*Booth et al. (1999) 4,393 military veterans Male M =37 AM serum T 12-item scale of antisocial behaviors such as getting drunk, skipping school, and stealing T correlated with antisocial behavior, r =.15.
Constantino et al. (1993) 18 inpatients with CBCL Aggression scores > 98th percentile and conduct disorder diagnoses; 11 control participants matched on age and race Male 4-10 Serum T DSM-III-R conduct disorder diagnosis Conduct disorder group did not differ from the control group on T
*Dabbs et al. (1990) 5236 US military veterans Male Median =37 Serum T DIS Among low SES veterans, T correlated with drug abuse, r =.19, alcoholism, r =.13, and antisocial personality, r =.19. Among high SES veterans, T demonstrated smaller but significant correlations with drug abuse, alcoholism, and antisocial personality rs =.06-.07.
Dmitrieva et al. (2001) 28 diagnosed with conduct disorder, free of medications; 13 age-matched patients treated at same clinic Male 10-18 Tanner Sexual Maturation Staging Scale (Tanner, 1978), serum T Conduct disorder diagnoses from review of record by 2 raters, CBCL, CPTQ Elevated T was only observed among conduct disorder participants younger than 14.
Dorn et al. (2009) 180 patients with disruptive behavior disorder; control group matched on age, gender, race, and SES 78% male 6-11; M=9 Saliva T K-SADS disruptive behavior disorders T was unrelated to disruptive behavior disorders.
Fang et al. (2009) 344 youths with elevated low-density lipoprotein cholesterol 48% male M =12.6 Serum free T CBCL Delinquent Behavior scale T correlated positively with delinquency for boys, but only among those with low family cohesion. T correlated negatively with delinquency among girls.
Glenn et al. (2011) 178 adults 88% male 18-45 Three AM saliva samples of T on each of two consecutive days; cortisol levels measured before and 20 and 40 minutes after two stressors PCL-R T was unrelated to psychopathy. The ratio of T to cortisol correlated with higher psychopathy, r2 =.05.
*Granger et al. (2003) 213 adolescents 50% male M =13.66 Saliva samples collected three times per day on multiple days to model mean T level and diurnal variation Disruptive behavior scale based on latent modeling of CBCL, A-YSR, and DISC In growth curve models, T was unrelated to disruptive behavior in boys. Among girls, declines in T across the day were associated with disruptive behavior after controlling for pubertal development.
Kirillova et al. (2008) 478 boys whose fathers were stratified on whether they met criteria for substance abuse Male 9-13 at time 1 Serum T and Tanner Sexual Maturation Staging Scale K-SADS for conduct disorder and substance abuse disorder, PDS T was elevated in boys with conduct disorder at time 1 and 2 years later. In path analyses, early pubertal development predicted greater peer delinquency, which predicted substance abuse disorders 2 years later.
Maras et al. (2003) 87 boys from a longitudinal study of infants with delivery complications or family difficulties 41% male 14 Serum T High Externalizing = T ≥60 on either CBCL or TRF; Low Externalizing =T <60 on CBCL and TRF T correlated with Externalizing in boys, but not girls.
*Nottelmann et al. (1987) 108 children 52% male 9-14 AM serum T CBCL T was unrelated to Delinquency at baseline, but predicted Delinquency one year later.
*Olweus et al. (1980, 1988) 58students Male 15-17 AM serum T averaged across 2 samples Antisocial behavior questionnaire developed for this study, OMAI T correlated with one subscale of the antisocial behavior (Difficulty Tolerating Frustration), r =.28, and with aggression (OMAI), r =.44. T correlated with specific items covering aggressive responses to commands and challenges.
Pajer et al. (2006) 87 students Female 15-17 Serum T, DISC T was elevated, but only in girls with aggressive forms of conduct disorder.
Rowe et al. (2004) Representative sample of 789 males living in Western NC Male 9-15 Serum T CAPA conduct disorder diagnoses T related to conduct disorder, but only in boys with deviant peers.
Sjoberg et al. (2008) 95 participants with alcoholism and criminal records and 40 controls Male Adults Cerebrospinal fluid T SCID T was higher in men with antisocial personality disorder than in those without antisocial personality disorder, particularly those with a low activity MAOA genotype.
Stålenheim et al. (1998) 61 males going under major forensic investigation Male Adults Serum total T and free T SCID, PCL-R Serum total T was related to antisocial personality disorder and Type II alcoholism (SCID), both ps < .05, and to psychopathic traits (PCL-R Interpersonal/Affective scores), p < .05, but not to PCL-R Antisocial Impulsivity Factor scores.
*Tarter et al. (2007) 179 students Male M=11.62 at baseline AM serum T Joint index of dominance (DPQ SPS) and rule-breaking In path analyses, baseline T predicted an index combining dominant behavior and rule breaking at age 16.
Udry (1990)
Drigotas & Udry (1993)
101 students Male 13-16 Serum T ACL In path analyses, T correlated with conduct disorder symptoms at baseline. Baseline free T (controlling for bound T) predicted problem behavior one year later, but T at later ages was unrelated to problem behavior.
van Bokhoven et al. (2006) 96 students; 13 met conduct disorder criteria Male 13 at Time 1 Saliva T at ages 13, 16 and 21 DISC conduct disorder diagnoses and 21-item delinquency questionnaire developed for this study T at baseline was not related to conduct disorder at age 16, or to delinquency at ages 13 and 16, but T was correlated with delinquency at age 21.

Note. ACL =Adjective Check List (Gough & Heilbrun, 1965); CAPA =Child and Adolescent Psychiatric Assessment (Angold & Costello, 2000); CBCL =Child Behavior Checklist (Achenbach, 1991a); CIDI =Composite International Diagnostic Interview (Robins et al., 1988); CPTQ =Conners Parent-Teacher Rating Scale (Goyette, Conners, & Ulrich, 1978); CRPBI =Children's Report of Parental Behavior Inventory (Schaefer, 1965); DISC =Diagnostic Interview Schedule for Children (Shaffer, Fisher, Lucas, Dulcan, & Schwab-Stone, 1996, 2000); DIS =Diagnostic Interview Schedule (Helzer, 1992; Robins, Helzer, Croughan, & Ratcliff, 1981; Robins, Helzer, Ratcliff, & Seyfried, 1982); DPQ SPS =Differential Personality Questionnaire Social Potency Scale (Tellegen, 1982); DUSI-R = Drug Use Screening Inventory Revised (Tarter, 1990); EPPS =Edwards Personal Preference Schedule (Edwards, 1959); IAS-R =Revised Interpersonal Adjective Scales (Wiggins, Trapnell, & Phillips, 1988); IM-P =Interpersonal Measure of Psychopathy (Kosson et al., 1997); INCOM =Iowa-Netherlands Comparison Orientation Measure; K-SADS =Schedule of Affective Disorders and Schizophrenia for School-Aged Children (Kaufman, Birmaher, Brent, Rao, & Ryan, 1996); M =mean; MPQ SPS =Multidimensional Personality Questionnaire Social Potency Scale (Tellegen & Waller, 2008); MPQ-BF =Brief Form of the Multidimensional Personality Questionnaire (Patrick et al., 2002); OMAI =Olweus Multi-faceted Agression Inventory for Boys (Olweus, 1975); NPI =Narcissistic Personality Inventory (Raskin & Hall, 1981; Raskin & Hall, 1979); PAI =Personality Assessment Inventory (Morey, 1991); PAI Dom =PAI Dominance Scale; PCL-R =Psychopathy Checklist-Revised (Hare, 1991, 2003; Harpur, Hare, & Hakstian, 1989); PCL-R FD =Psychopathy Checklist-Revised Fearless Dominance Subscale; PCL-SV =Psychopathy Checklist: Screening Version (Forth, Brown, Hart, & Hare, 1996); PDS =Peer Delinquency Scale (Loeber, 1989); PETQ =Perceived Ego Threat Questionnaire (Bushman & Baumeister, 1998); PPI =Psychopathic Personality Inventory (Lilienfeld & Andrews, 1996); PPI FD =PPI Fearless Dominance Factor Score; RAPI =Rutgers Alcohol Problems Index (White & Labouvie, 1989); RBS =Risky Behavior Scale (Eccles & B., 1990); SCID =Structured Clinical Interview for DSM Disorders (First, Spitzer, Gibbon, & Williams, 1995); SRP-II =Self-Report Psychopathy Scale-II (Hare, 1991); T =testosterone; TRF =Teacher Report Form (Achenbach, 1991b).

*

Findings from this study are described in another table.

Dominance motivation may be particularly relevant to the interpersonal symptoms of psychopathy. Symptom specificity has been examined in studies using a factor score of the Psychopathy Checklist-Revised (PCL-R) that has been labeled Fearless Dominance, or Arrogant and Deceitful Interpersonal Style (Patrick, Hicks, Krueger, & Lang, 2005). Fearless Dominance is stable across adolescence and into early adulthood (Blonigen, Hicks, Krueger, Patrick, & Iacono, 2006) and over a 10-year period of adulthood (Witt et al., 2010). More importantly, Fearless Dominance has been shown to correlate positively with measures of dominance motivation such as the MPQ Social Potency scale (Benning, Patrick, Blonigen, Hicks, & Iacono, 2005; Verona, Patrick, & Joiner, 2001).

Psychopathy has also been related to tendencies towards more dominance behavior, as measured by both self-report (Edens, 2009) and observer ratings (Kosson, Steuerwald, Forth, & Kirkhart, 1997). In one longitudinal study, a conjoint index of dominance behavior and rule-breaking was found to predict the onset of substance use disorders in early adulthood (Tarter et al., 2007). The Fearless Dominance scale of the PCL-R has also been found to correlate with dominance behavior (Patrick, Edens, Poythress, Lilienfeld, & Benning, 2006; Vitacco & Kosson, 2010). Other researchers have considered more specific aspects of dominance behavior. For example, Cale and Lilienfeld (2006) found that psychopathy scores were highly correlated with the Perceived Ego Threat Questionnaire (PETQ; Bushman & Baumeister, 1998), which assesses the degree of anger experienced in response to threats to power, including insults, disrespect, and commands. These authors also found psychopathy to be correlated with receiving discipline for aggressive responses to threats to power among prison inmates. Thus in psychopathy, threats to power appear to be especially salient triggers of dominant behavior, particularly dominance in the form of aggression.

Biological Evidence

As summarized in Table 2, many studies have examined testosterone in externalizing syndromes. Several studies of adolescents have documented elevated testosterone in externalizing syndromes, including conduct disorder (Udry, 1990), antisocial behavior (Olweus, Mattsson, Schalling, & Löw, 1988), substance abuse (Tarter et al., 2007), and among adolescents with delinquent peers (Fang et al., 2009; Kirillova, Vanyukov, Kirisci, & Reynolds, 2008). In studies of adults, testosterone was found to be elevated among persons with antisocial symptoms compared with controls (Booth, Johnson, & Granger, 1999; Sjoberg et al., 2008) and among persons diagnosed with Type 2 alcoholism, a form of alcoholism that co-occurs with externalizing symptoms (Dabbs & Morris, 1990; Stalenheim, Eriksson, von Knorring, & Wide, 1998). In a longitudinal study, testosterone levels at age 12-14 predicted the onset of substance use disorders at age 22, and the effects were mediated by dominance and norm-violating behaviors (Tarter et al., 2007).

Other studies of testosterone have focused on more specific aspects of interpersonal behavior. In an item analysis to examine specific antisocial and aggressive behaviors, testosterone related most strongly to the tendency to protest or disobey commands (Olweus et al., 1988). These findings are consistent with other studies that found testosterone to be specifically related to externalizing symptoms involving aggression (Aromaki, Lindman, & Eriksson, 1999; Pajer et al., 2006). Although it may be particularly fruitful to examine testosterone in conjunction with aggressive responses to dominance challenges, the links of testosterone with symptoms such as alcohol abuse suggest the importance of an ongoing focus on a range of behaviors beyond aggression.

Despite the wealth of positive findings, inconsistencies remain in the literature on testosterone and externalizing syndromes, with some studies documenting nonsignificant correlations between testosterone and conduct disorder symptoms (Constantino, Roose, & Woodring, 1993; Nottelmann et al., 1987) or disruptive behavior disorders (Granger et al., 2003). One study found that testosterone was unrelated to conduct disorder symptoms cross-sectionally, but predicted the emergence of antisocial behaviors longitudinally (van Bokhoven, Matthys, van Goozen, & van Engeland, 2006). In light of these mixed findings, several issues are worth considering when evaluating the links of testosterone with externalizing disorders, including gender, developmental stage, and social environment. We turn to these issues next.

Gender, Age, and Social Environment

In regard to gender, findings indicate that testosterone is directly correlated with externalizing behavior in adolescent boys but not in girls (Booth, Johnson, Granger, Crouter, & McHale, 2003; Fang, et al., 2009; Maras et al., 2003). Studies that have examined the effects of testosterone across genders also have not yielded significant relationships with externalizing behaviors, at least not cross-sectionally (Dorn et al., 2009; Glenn, Kurzban, et al., 2011; Nottelmann et al., 1987). It remains possible that more specific models will attain support among girls. For example, Pajer and colleagues (2006) found that testosterone was elevated only among those adolescent girls whose conduct disorder symptoms included aggression, suggesting that testosterone may relate to aggression more than to general externalizing syndromes in girls. Granger and colleagues (2003) did not find externalizing symptoms in girls to be related to mean testosterone levels across the day, but did find that disruptions of daily testosterone rhythms related to externalizing symptoms after controlling for pubertal development. Overall, the evidence for testosterone as a risk factor for externalizing symptoms appears to be far more robust in males than in females. In addition, a more precise characterization of externalizing symptoms and hormonal profiles may need to be considered in research with females.

In considering developmental influences on hormone levels, it is notable that many of the null testosterone findings for males have been obtained in studies of adolescents. As highlighted previously, testosterone increases steeply during puberty in males, and this surge may increase error variance and interfere with the predictive validity of baseline levels over time. Several authors have argued that early pubertal maturation might be more important to externalizing syndromes than absolute testosterone levels (Dorn et al., 2009; Drigotas & Udry, 1993). In line with this argument, early puberty in boys has been associated with externalizing behavior (Kaltiala-Heino, Marttunen, Rantanen, & Rimpelä, 2003; Williams & Dunlop, 1999), peer deviance (Kirillova et al., 2008), and substance use (Dawes et al., 1999; Kirillova et al., 2008; Tarter et al., 2009; Wiesner & Ittel, 2002). In one longitudinal study, testosterone levels between ages 9 to 11 and 11 to 15 were correlated with risk for externalizing disorders, whereas tesosterone levels after that developmental period were not directly related to externalizing disorders (Kirillova et al., 2008). Similarly, testosterone levels at age 11 and 12 were found to relate to problem behavior (Drigotas & Udry, 1993) and substance abuse (Tarter et al., 2007) concurrently and prospectively, but testosterone levels at later ages were not. Notably, some of the authors who obtained weak relationships between testosterone and antisocial behavior collapsed across pubertal status in their analyses (cf. Nottelmann et al., 1987; Olweus, Mattsson, Schalling, & Löw, 1980) or examined younger age groups (cf. Constantino 1993; Dorn et al., 2009). Thus it appears that researchers need to take age of pubertal onset into account when evaluating the role of testosterone in externalizing symptoms.

In addition to gender and development, the social environment may also be a key factor in the relation between testosterone and externalizing syndromes, consistent with evolutionary theory. Social factors, such as poverty, parental conflict, and deviant peer groups can all increase risk for externalizing disorders (Burt, Krueger, McGue, & Iacono, 2003; Ge, Brody, Conger, Simons, & Murry, 2002; Lahey, Loeber, Burke, & Applegate, 2005; Wadsworth & Achenbach, 2005). High testosterone levels have been found to relate more strongly to externalizing symptoms in boys who have poor relationships with their parents than in boys who have strong relationships with their parents (Booth et al., 2003), and this may be particularly true during adolescence (Fang et al., 2009). In other work, testosterone levels were related to conduct disorder symptoms, but only among boys with deviant peers (Rowe, Maughan, Worthman, Costello, & Angold, 2004). Among boys who did not have deviant peers, testosterone levels were instead related to leadership. Kirillova and colleagues (2008) reported that the effects of early puberty on substance abuse appear to be mediated by peer deviance. The social environment has also been found to moderate the influence of testosterone on externalizing syndromes in studies of adults. For example, testosterone was only found to relate to adult criminal behavior in men with low scores on a measure of social integration that incorporated educational achievement, participation in organized groups, job stability, and marital status (Booth & Osgood, 1993). In another large-scale study, testosterone interacted with low SES to predict antisocial personality disorder, alcoholism, and drug abuse (Dabbs & Morris, 1990). Consistent with evolutionary theory, then, testosterone may relate more strongly to externalizing symptoms in the context of high-risk social environments.

Summary of the DBS Findings Regarding Externalizing Syndromes

Self-report and observational research suggests that elevations in dominance motivation, behavior, and self-perceived power are related to conduct disorder, externalizing disorders, substance abuse, and psychopathy. Although most research has been conducted with all-male samples, parallel findings have emerged in samples that included both males and females. Moreover, findings relating the DBS to these disorders have emerged in large-scale studies using varied samples and assessment techniques. The biological findings with males generally converge with the self-report and observational research. Specifically, research suggests that elevated testosterone is related to conduct disorder, antisocial behavior, and substance abuse in males. Moreover, testosterone and dominance motivation appear to be particularly relevant to the interpersonal symptoms of externalizing syndromes, especially aggressive responses to threats to power. Among adolescent males, higher testosterone levels during a critical developmental window that marks earlier pubertal onset are most strongly related to externalizing behavior. Testosterone also appears to be related to externalizing behavior in adult men. Finally, the biological research suggests a number of ways in which DBS models of externalizing syndromes could be refined by considering social environments that are known to increase risk for externalizing symptoms.

Narcissism

The DSM-IV-TR defines narcissistic personality disorder by the presence of a set of stable traits that interfere with functioning, including an exaggerated sense of self-importance, fantasies of unlimited success and power, beliefs that one is special, excessive need for admiration, proneness to envy, contemptuous attitudes and behavior toward others, entitlement, exploitive behavior, lack of empathy, beliefs that others are envious of oneself, and arrogance (APA, 2000). These symptoms overlap with behaviors that one might expect to find in conjunction with extremely high dominance motivation and self-perceived power. In this section, we focus exclusively on self-report and observational studies because we were unable to identify studies involving biological measures of narcissism.

Theory

Psychodynamic and social psychology models of narcissistic personality disorder have both emphasized that the pursuit of dominance functions to protect self-esteem: the narcissist hopes to support grandiose views of the self by achieving power (Kohut, 1977; Morf & Rhodewalt, 2001; Raskin, Novacek, & Hogan, 1991). In one psychodynamic theory, Kohut (1977) has suggested that the excessively high dominance motivation observed in narcissism might stem from parental styles that failed to provide the warmth, empathy, or respect that are needed to endow the child with a sense of self-worth, coupled with tendencies to rely on the child's accomplishments as a way of bolstering the parents' self-esteem. Social psychology models place more of an emphasis on the function of dominance behavior within the current interpersonal system. Baumeister and colleagues (2000) have argued that individuals with narcissistic traits employ dominance behaviors to assert and defend their highly grandiose self-views. Their model focuses on the aggressive behaviors of narcissists and posits that aggression is most likely when individuals with narcissistically inflated views of their own personal superiority encounter others who explicitly dispute these self-perceptions. Kirkpatrick and colleagues (2002) expanded this theory to argue that from an evolutionary perspective, the most important goal would be to protect “one's relative standing on functionally important dimensions such as desirability as a mate and social status” (p.758). To do so, winning competitions between members of one's in-group would be particularly important.

Self-Report and Observational Evidence

Dominance motivation is one of the personality traits used to screen for narcissistic tendencies. More specifically, the most widely used scale for assessing narcissistic traits, the Narcissistic Personality Inventory (NPI), includes two factor-analytically supported subscales pertaining to dominance motivation: Exploitiveness and Leadership. The Exploitiveness subscale includes items that capture the desire for power, tendencies to show off, and a sense of being entitled to respect, all of which could be considered as aspects of dominance motivation. The Leadership subscale captures a range of ways in which a person prefers to be in positions of social power, such as “I would prefer to be a leader” and “I like having authority over other people,” but is also consistent with dominance motivation. Across factor analytic studies, items capturing a desire for power and leadership, or dominance motivation, have been shown to be core facets of the NPI (Raskin & Terry, 1988).

As shown in Table 3, empirical research suggests that the overlap between dominance motivation and narcissistic traits generalizes across measures. Self-reports of high trait dominance motivation as measured with multiple scales have been found to be robustly correlated with measures of narcissistic traits (r's =.57 to.71; (Bradlee & Emmons, 1992; Patrick, Curtin, & Tellegen, 2002; Raskin et al., 1991; Rodebaugh, Gianoli, Turkheimer, & Oltmanns, 2010). In a study of how the NPI related to a large number of personality variables, no personality variable was more closely related to the NPI than was dominance motivation (Emmons, 1984). Gurtman (1992) used the circumplex model as a way of understanding the subscales of the NPI and noted the strong overlap between NPI subscales and dominance motivation and behavior. Broader findings also fit with the idea that narcissistic traits are related to high dominance motivation. We noted above that dominance motivation shapes a tendency to pursue life ambitions related to extrinsic admiration, such as goals of achieving fame and wealth. In one study, narcissistic traits, as measured by the NPI, were found to correlate with ambitious life goals for achieving fame and wealth (Fulford, Johnson, & Carver, 2008).

Table 3. Studies of the DBS and Narcissistic Personality Traits.
Author and Year Sample Gender Age DBS Measure Narcissism Measure Results
Anderson, John & Keltner (2010) 263 undergraduates Both College aged Pow NPI Perceptions of power correlated with narcissism, r =.46.
Bradlee & Emmons (1992) 147 undergraduates 40% male College aged PRF Do NPI Dominance motivation correlated with all seven factors of the NPI, but most strongly with Authority, r =.75, and Entitlement, r =.65.
Bushman & Baumeister (1988) Undergraduates
Study 1 n =260
Study 2 n =280
50% male in both samples College aged Study 1: Willingness to engage in aggression (playing loud noise bursts) in response to ego threat (negative feedback) Study 2: Aggressive responses and perceived threat in response to feedback NPI Narcissism correlated with level of aggressiveness shown to a confederate who had given negative feedback, r =.37, but this aggression did not generalize to other confederates. Narcissism correlated with higher ratings of threat in response to negative feedback, r =.33.
*Cale & Lilienfeld (2006) 98 inmates Male 18-59; M =23.7 PETQ designed to capture angry response to threats to power NPI Reactivity to power threats correlated with narcissism, r =.41.
Emmons (1984), Study 2 127 undergraduates 51% male College aged EPPS Need for Dominance, and for 45 persons, the 16 PF NPI Dominance motivation (EPPS) and dominance behavior (16 PF) correlated with narcissism (NPI total and all factor scores).
*Fulford et al. (2008) 233 undergraduates Both College aged WASSUP Subscales for Popular Fame and Wealth NPI Narcissism correlated with higher lifetime ambitions related to extrinsic recognition.
Gurtman (1992) 279 undergraduates 34% male College aged IIP NPI In multivariate analyses, dominant behavior correlated with narcissism.
*Harder & Lewis (1987) 120 undergraduates Both Single item rating of shame-proneness (and other shame measures with poor psychometric characteristics) NPI Lower shame-proneness correlated with higher narcissism, r =-.37.
*Harder & Zalma (1990) 63 undergraduates 59% male M =18.46 ASGS Shame, PFQ-2 Shame NPI ASGS Shame, but not PFQ-2 Shame, correlated negatively with narcissism, r =- .48.
Morf & Rhodewalt (1993) 216 undergraduates Male College aged Participants received feedback that they were less socially sensitive than another person (a competitor), and then were given a chance to evaluate that person. They then rated their competitor. NPI Narcissism correlated with more negative ratings of a competitor, p < .001.
Oliver & John (1994) 102 MBA students Both Median =27 Self, peer, and staff ratings after participants interacted in small groups on a decision-making task. Inflated self-evaluations were indexed by comparing self-evaluations to peer and staff ratings. Composite measure based on staff ratings of DSM-III-R criteria, NPI, CPI Narcissism scale, and CAQ Narcissism ratings Narcissism correlated with inflated self-evaluations compared to staff or peer ratings, r =.48.
Patrick et al. (2002) 340 undergraduates 27% male College aged MPQ SPS NPI Dominance motivation correlated with narcissism, r=.60.
Paulhus (1998) 124 undergraduates Both College aged Peer dominance ratings on items such as “tends to brag,” arrogant, and confident
Discrepancy scores to assess overly positive ratings of self compared to peer ratings after seven 20-minute meetings
NPI NPI scores correlated with higher peer ratings of several dominant behaviors, and with overly positive self ratings compared to peer ratings, r =.40. Overly positive self-evaluations (self-peer discrepancy scores) predicted more negative peer evaluations over time.
Pincus et al. (2009) studies 3 and 4 Study 3: 399 undergraduates
Study 4: 26 outpatients
Study 3: 50% male
Study 4: 23% male
College aged Study 3: IIP and the ESS
Study 4: IIP
PNI
NPI
Across studies, NPI scores correlated with more dominant behavior (IIP) and lower shame-proneness (ESS). PNI scores were not correlated with dominant behavior and were correlated with higher shame-proneness.
Raskin & Terry (1988) Undergraduates,
Study 1 n =384
Study 2 n =57
Study 3 n =128
Both College aged Study 1 and 3: ICL Study 2: Staff ratings after two days of tasks and interactions NPI Narcissism correlated with self-rated ICL Managerial/Autocratic traits, rs =.57 -.71, and with staff ratings of dominant behavior, r =.71.
Raskin et al. (1991) Undergraduates
Sample 1 n =84
Sample 2 n =57
Sample 3 n =300
Both 18-33 Sample 1: ICL
Sample 2: CPI Do
Sample 3: PRF Do
NPI Across samples, path analyses suggested that dominant motivation (CPI Do PRF Do) and behavior (ICL Managerial/Autocratic traits) was centrally related to narcissism.
Rodebaugh et al. (2010) 990 college freshman who had lived together on a dormitory floor for three months 28.5% male M =18.62 IIP rated by self and peers MAPP Narcissistic Personality Disorder In peer and self ratings, dominant behavior (IIP) correlated with narcissism (NPI). This correlation was more pronounced in peer ratings, r =.75, than in self ratings, r =.55.
Tracy et al. (2009) 2327 undergraduates 35% male College aged AHPS NPI Narcissism correlated negatively with Authentic Pride, r=-.34, and positively with Hubristic Pride, r=.22.
*Wright et al. (1989) 100 undergraduates 38% male College aged ASGS Shame NPI Narcissism correlated with lower shame (ASGS), r =-.21.

Note. 16 PF =Sixteen Personality Factor Questionnaire (Cattell, Eber, & Tatsouka, 1970); AHPS =Authentic and Hubristic Pride Scales; ASGS =Adapted Shame and Guilt Scale; CAQ =California Adult Q-Set (Block, 1978); CPI Do =California Psychological Inventory Dominance Scale; EPPS =Edwards Personal Preference Schedule; ESS =Experience of Shame Scale (Andrews, Qian, & Valentine, 2002); ICL =Interpersonal Checklist (Leary, 1957); IIP =Inventory of Interpersonal Problems; MAPP =Multisource Assessment of Personality Pathology (Thomas, 2003); NPI =Narcissistic Personality Inventory; PETQ =Perceived Ego Threat Questionnaire; PFQ-2 =Personal Feelings Questionnaire-Revised; PNI =Pathological Narcissism Inventory (Pincus et al., 2009); Pow =Sense of Power Scale; PRF Do =Personality Research Form Dominance Scale; WASSUP =Willingly Approached Set of Statistically Unlikely Pursuits (Johnson & Carver, 2006).

*

Findings from this study are described in another table.

Narcissistic traits also appear to be related to more dominant behavior (Emmons, 1984; Gurtman, 1994; Pincus et al., 2009; Raskin & Terry, 1988). Narcissistic traits, indexed by NPI scores, have been found to correlate with observer ratings of dominant behaviors, such as bragging, aggression, and confidence (Paulhus, 1998). Much of the aforementioned research has relied on self-reports of narcissism, which raises concerns that individuals might minimize their own narcissistic traits (Klonsky, Oltmanns, & Turkheimer, 2002). Studies correlating observer ratings of narcissistic traits with observer ratings of dominant behavior, however, have obtained results that are at least as strong, if not stronger, than studies relying on self-reports of dominance motivation and narcissistic traits (Raskin et al., 1991; Rodebaugh et al., 2010). Thus, the association between narcissistic traits and dominance behavior appears to hold across different measurement approaches.

Observational laboratory studies provide a more detailed look at the ways in which the desire for dominance may shape the behavior of individuals with narcissistic traits. In response to negative feedback from a confederate, persons with high NPI scores report higher perceptions of threat and demonstrate more aggressive responses directed at the confederate who provided the negative feedback (Bushman & Baumeister, 1998). Narcissism has been found to be more related to aggression toward competitors when there is explicit competition for a specific resource – specifically, time with an attractive member of the opposite sex (Kirkpatrick, Waugh, Valencia, & Webster, 2002). In another study, participants were given rigged negative feedback about how their social sensitivity compared to that of another person, and were then given a chance to evaluate that other person. High NPI scores predicted more negative evaluations of the person to whom they had been unfavorably compared. Thus being perceived negatively by others appears to be highly threatening for individuals with narcissistic traits, and this threat triggers competitive and even aggressive behavior toward potential competitors. Congruently, the NPI has also been found to correlate with tendencies to endorse being angered by others' attempts to assert dominance through insults or commands (Cale & Lilienfeld, 2006). As summarized by Bushman and Baumeister (1998), “narcissists care passionately about being superior to others” (p. 220), which can be considered one indicator of excessive dominance motivation.

In addition to the studies relating narcissism to dominance motivation and behavior, there is some evidence to suggest that narcissistic personality traits are associated with higher self-perceptions of power. Factor analyses of the Narcissistic Personality Inventory identify two subscales that are parallel with the behaviors observed among persons who have attained high power: Superiority and Self-Absorption (Raskin & Terry, 1988). Consistent with this, NPI scores have been found to correlate with self-rated power (Anderson et al., 2010). Narcissistic traits have also been found to correlate with self-evaluations that are higher than peer evaluations (John & Robins, 1994; Paulhus, 1998). Inflated self-perceptions of power might help to explain some of the social problems observed in narcissistic personality disorder insofar as people who over-estimate their power tend to be less liked by their peers over time (Anderson, Srivastava, Beer, Spataro, & Chatman, 2006; Paulhus, 1998).

Consistent with the idea of heightened self-perceptions of power, narcissistic traits also appear to be related to pride. As mentioned previously, research has distinguished between two forms of pride: authentic pride, which is based on specific accomplishments, and hubristic pride, which is based on global self-evaluations. NPI scores have been found to correlate negatively with tendencies toward authentic pride, but positively with tendencies toward hubristic pride (Tracy, Cheng, Robins, & Trzesniewski, 2009), suggesting that narcissism may be particularly related to overly positive global evaluations of self.

To the extent that narcissistic traits relate to inflated self-perceptions of power, one might expect narcissistic individuals to experience less shame (Kernberg, 1998). On the other hand, some authors have suggested that the emphasis placed on achieving power might leave the narcissistic individual vulnerable to periods of intense shame when these defensive strategies fail (Pincus et al., 2009). According to this latter view, achieving superiority may matter greatly, but evaluations of whether or not this goal has been achieved tend to vary (Morf & Rhodewalt, 1993). Empirical findings regarding links between narcissistic traits and shame are mixed, and these inconsistencies appear to stem from the measure of narcissism used. The NPI is negatively correlated with shame (Harder & Lewis, 1987; Wright, O'Leary, & Balkin, 1989), particularly with shame measures that focus on public humiliation, such as the ASGS, as compared with shame measures that focus on personal disappointment, such as the PFQ2 (Harder & Zalma, 1990). By contrast, the Pathological Narcissism Inventory (PNI), which is designed to capture more severe forms of narcissism, is related to higher shame proneness scores and less consistently to self-perceived power (Pincus et al., 2009). Discrepancies across measures underscore the need to develop more nuanced theory about the specific conditions under which narcissism protects positive views of the self and conditions under which it fails to do so (Pincus et al., 2009).

Summary of the DBS Findings Regarding Narcissism

Clinical features of narcissistic personality disorder overlap with some of the problems that one might expect to observe in conjunction with a dysregulated DBS. Specifically, empirical research using self-report and observational measures suggests that individuals with narcissistic traits exhibit elevated levels of dominance motivation and dominance behavior along with inflated self-perceptions of power. Much of the research on narcissistic personality traits has focused on subsyndromal symptoms measured using the NPI. One self-report scale was recently designed to capture more pathological narcissistic traits, and responses on this scale are less clearly related to shame and self-perceptions of power. Therefore, there remains a need understand both how the DBS relates to pathological narcissism and to characterize the links between the DBS and narcissism biologically and longitudinally.

Mania

Bipolar I disorder is defined by at least one lifetime episode of mania. Manic episodes are characterized by a period of distinctly euphoric or irritable mood, accompanied by other symptoms, such as being overly confident, requiring less sleep, increased talking, racing thoughts, and engagement in rewarding activities without regard for the negative consequences (e.g., risky sexual activity, excessive spending, and other disinhibited behaviors). To qualify as a full manic episode, symptoms must last at least one week or necessitate hospitalization. Many people with a history of manic episodes will experience depressive episodes as well. Although some studies of clinically diagnosed samples are available, research on the DBS in mania has often relied on analog samples. Many of these studies have defined risk for mania using the Hypomanic Personality Scale (HPS; Eckblad & Chapman, 1986), which covers subsyndromal symptoms of mania and related personality traits. The HPS has been found to have excellent validity in predicting the onset of manic and hypomanic episodes (Kwapil et al., 2000).

Theory

Price (1967), noting the strong parallels between the behavior of “alpha” animals and the symptoms of mania, suggested that mania was an excessive reaction to achieving power. Gardner (1982) expanded this theory to suggest that this propensity to be overly sensitive to signals of power might be biologically driven. Cardinal symptoms of mania – including grandiosity, heightened sexuality, and excessive talking – overlap with the behavioral correlates of power, and so it has been theorized that self-perceptions of power may be particularly elevated during manic episodes (Gilbert, McEwan, Bellew, Mills, & Gale, 2009). By contrast, during the depressive phase of the illness, individuals with bipolar disorder often focus on feelings of failure and tend to view themselves as subordinate and submissive (Gilbert, McEwan, Bellew, et al., 2009). In this section, we will focus on research specific to mania and we will turn to depression in the following section.

Self-Report and Observational Findings

As shown in Table 4, dominance motivation has been found to correlate with the HPS (Johnson, Carver, & Siegel, 2011) and with diagnosed bipolar disorder. Individuals diagnosed with bipolar disorder who were asked about their life ambitions while in remission endorsed pursuing extremely ambitious extrinsically-oriented goals (wealth and fame), which could be related to dominance motivation (Johnson, Eisner, & Carver, 2009). The investment in extrinsically-oriented goals does not appear to be an artifact of symptoms, in that the profile remained present after controlling for subsyndromal manic symptoms and has been found to predict the onset of mania (Alloy et al., in press). Heightened investment in highly ambitious extrinsic goals also has been documented across seven samples of persons at risk for bipolar disorder (Carver & Johnson, 2009; Gruber & Johnson, 2009; Johnson & Carver, 2006; Johnson et al., 2011). Observational studies suggest that risk for mania is also related to dominance behavior, as assessed by self and peer ratings (Taylor & Mansell, 2008). Self-ratings of negative and positive forms of dominance behavior were correlated with the HPS, but peers tended to rate individuals with high HPS scores as showing only positive forms of dominance behavior.

Table 4. Studies of the DBS in Mania.
Author & Year Sample Gender Age DBS Measure Mania Measure Results
Self-Report and Observational Findings
Carver & Johnson (2006) Undergraduates
Study 1 n =177
Study 2 n =888
Both College aged WASSUP Popular Fame and Wealth Subscales HPS Mania risk correlated with higher lifetime ambitions related to extrinsic recognition in both studies.
Carver & Johnson (2009) 238 undergraduates Both College aged WASSUP Popular Fame and Wealth Subscales HPS Mania risk correlated with higher lifetime ambitions related to extrinsic recognition.
Carver, Johnson, & Siegel, 2010 Undergraduates
Study 1 n =454
Study 2 n =780 Study 3 n =329
Both College aged Study 1: WASSUP Popular Fame and Wealth Subscales, PRF Do
Study 2: WASSUP Popular Fame and Wealth Subscales, Status Seeking Scale (SSS)
Study 3: Self-ratings of overly dominant behaviors
HPS Mania risk correlated with higher lifetime ambitions related to extrinsic recognition (WASSUP), dominance motivation (PRF Do), high perceived rank (SSS) and engagement in overly dominant social behaviors.
*Fulford et al. (2008) 233 undergraduates Both College aged WASSUP Popular Fame and Wealth Subscales HPS Mania risk correlated with higher lifetime ambitions related to extrinsic recognition
Gilbert, McEwan et al. (2007) 40 outpatients with bipolar disorder Both M =44 SCS, SBS Clinical diagnosis of bipolar disorder in remission; BDI and ISS to assess current mood symptoms Depressive symptoms (BDI) correlated with more submissive behavior (SBS), r =.51, and lower perceived social comparison (SCS), r =- .45. In regression analyses, positive moods (ISS well-being) were related to higher social comparison (SCS), r =.25.
Gilbert, McEwan, Mitra et al. (2009) 49 outpatients clinically diagnosed with bipolar disorder and 202 unselected students Both SCS TEMPS-A Hyperthymic Temperament scale Higher social comparison correlated with manic temperament among students and patients (rs not provided).
Gruber & Johnson (2009) 302 students Both 17-22 WASSUP Popular Fame and Wealth Subscales, DPES HPS Mania risk correlated with higher lifetime ambitions related to extrinsic recognition (WASSUP Popular Fame, r =.34 and Money, r =.16) and to trait-like tendencies to pride (DPES), r =.29.
Johnson, Eisner, & Carver (2009) 83 students diagnosed with bipolar disorder, major depressive disorder, or no mood disorder Both 17-22 WASSUP Popular Fame and Wealth Subscales SCID diagnoses; CESD and SRMI to control for symptom levels People with bipolar disorder reported higher lifetime ambitions related to extrinsic recognition than did those with depression or no disorder.
Taylor & Mansell (2008) 60 undergraduates Both 17-22 Observer and self-rated negative high arousal behavior (adjectives include dominating, selfish, and overconfident) and positive high arousal words(e.g., ambitious) during a dyadic task HPS Mania risk was correlated with self- and peer-ratings of positive dominant behaviors (e.g., ambitious), and with self-ratings, but not peer ratings, of negative domineering behavior (e.g., dominating and overconfident).
Biological Findings
*Dabbs et al. (1990) 5236 US military veterans Male M =37 Serum samples of T DIS number of symptoms T correlated with mania only among low SES veterans.
Daly et al. (2003) 20 healthy controls Male 18-42 Randomly assigned to receive methyl testosterone vs. placebo for 6 days Visual analog scale of mood Methyl testosterone was associated with increases in several symptoms of mania, including aggressiveness, irritability, energy, sexual arousal and distractibility.
Pope & Katz (1988) 41 bodybuilders/football players 95% male 17-51; M =26.1 Persons taking steroids for body-building SCID While taking steroids, 12.2% of people met criteria for a full manic episode and another 19.5% reported a hypomanic episode; none reported manic symptoms when not taking steroids.
Pope et al. (2000) 56 healthy participants Male 20-50 T for 6 weeks compared to placebo YMRS and daily diaries of manic symptoms for 25 weeks T related to higher mania scores on the YMRS, p < .002 and daily diaries, p < .003; 16% reported hypomanic or manic episodes when taking T.

Note. BDI =Beck Depression Inventory (Beck & Steer, 1993); CESD =Center for Epidemiological Studies Depression Scale (Radloff, 1977); DIS =Diagnostic Interview Schedule; DPES =Dispositional Positive Emotion Scale (Shiota, Keltner, & John, 2006); HPS =Hypomanic Personality Scale (Eckblad & Chapman, 1986); ISS =Internal State Scale (Bauer et al., 1991); PRF Do =Personality Research Form Dominance Scale; SBS =Submissive Behavior Scale; SCID =Structured Clinical Interview for DSM Disorders; SCS =Social Comparison Scale; SRMI =Self-Rating Mania Inventory (Altman, Hedeker, Peterson, & Davis, 1997); SSSS =Self-Perceived Social Status Scale (Buttermore, James, & Kirkpatrick, 2005); T =testosterone; TEMPS-A =The Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Auto Questionnaire Version (Akiskal et al., 2005); WASSUP =Willingly Approached Set of Statistically Unlikely Pursuits; YMRS =Young Mania Rating Scale (Young, Briggs, & Meyer, 1978).

*

Findings from this study are described in another table.

As shown in Table 4, people diagnosed with bipolar disorder and those at risk for the disorder also appear to endorse high self-perceptions of power on self-report measures (Gilbert, McEwan, Mitra, et al., 2009; Johnson et al., 2011). Whereas these studies suggest that elevated self-perceptions of power can be documented even outside of episode, theorists have suggested that self-perceptions of power may be particularly inflated during manic episodes. Gardner (1982) reported that people experiencing manic episodes rated themselves as having elevated power, but his study did not include a control group of people with remitted bipolar disorder. Ratings of social comparisons appear to correlate positively with good moods and negatively with depressive symptoms among individuals with bipolar disorder (Gilbert, McEwan, Hay, Irons, & Cheung, 2007). When experiencing depressive symptoms, individuals diagnosed with bipolar disorder also endorse engaging in high rates of submissive behavior (Gilbert, McEwan, et al., 2007). No study has followed people with bipolar disorder over time to understand how self-perceptions of power might fluctuate with symptoms.

Biological Evidence

A few naturalistic and treatment studies have examined the relations between testosterone and mania in adult men (see Table 4). The findings of one naturalistic study suggest that testosterone is modestly correlated with mania in men from a low SES background, but not in high SES men (Dabbs, Hopper, & Jurkovic, 1990). These findings echo those in externalizing disorders, in that testosterone may have more bearing on symptoms in high risk contexts. When healthy men are given high doses of exogenous testosterone, 10 to 30% exhibit manic symptoms (Daly et al., 2003; Pope & Katz, 1988). Only one randomized trial has been conducted to compare testosterone administration to no treatment. In that study, 16% of men reported hypomanic or manic episodes while taking testosterone compared with none in the control condition (Pope, Kouri, & Hudson, 2000). Research is needed examining whether testosterone is correlated with mania in other age groups or among women.

Consistent with the links between the DBS and mania, an animal model of mania has been developed using a competition paradigm that places two food-deprived rats at a feeder. The rat that monopolizes the feeder tends to display a set of behaviors that are analogous to manic symptoms, including increased energy and locomotion, heightened pursuit of reward, and aggression (Malatynska & Knapp, 2005). Interestingly, multiple anti-manic agents have been found to quell these dominance behaviors (Malatynska & Knapp, 2005).

Summary of the DBS Findings Regarding Mania

Even during well periods, people diagnosed with bipolar disorder and those at risk for the disorder endorse high levels of dominance motivation and self-perceived power. Dominance behavior has been found to correlate with measures of risk for mania, but such behavior tends to be perceived positively by peers. More research is needed to examine the DBS among persons diagnosed with bipolar disorder given that much of the extant research is based on analog samples. Individuals diagnosed with bipolar disorder have been shown to exhibit increased motivation for extrinsic recognition, which can be conceptualized as one aspect of dominance motivation. Bipolar disorder appears to involve a chronically elevated desire for power, coupled with extreme variability in self-perceptions of power as mood states shift. It is possible that in the context of a heightened need for power, fluctuations in perceived power trigger manic and depressive symptoms, but longitudinal research is needed to determine whether shifts in self-perceived power drive symptoms or are driven by them. Congruent with findings obtained from self-report and observational studies, a small number of biological findings indicate that testosterone increases can induce manic symptoms.

Depression

Most depression rating scales encompass a range of symptoms, including those relevant to mood (e.g., sad mood or anhedonia), physical symptoms (weight loss, disrupted sleep, loss of appetite, psychomotor agitation or retardation), and cognitive symptoms (feelings of worthlessness, diminished ability to concentrate, and suicidal ideation). To qualify as a major depressive episode in the DSM-IV-TR, mood changes must be accompanied by five symptoms that persist for at least two weeks, and the symptoms must be severe enough to disrupt functioning or cause significant distress (APA, 2000). Some of the studies of the DBS consider dysthymic disorder, a chronic form of depression in which a person experiences at least two symptoms of depression that persist for at least two years.

Theory

Extensive theory has been developed on the DBS in depression. Much of that theory focuses on involuntary subordination as a final common pathway into depression. Due to space limitations, we highlight only the major tenets of theory here, but the reader is referred to other sources for more in-depth coverage (see Gilbert, 1992, 2000b; Gilbert & Allan, 1998; Sloman, 2000). In a battle for dominance, submissive behaviors, which have been called involuntary subordination behaviors, signal that the organism accepts defeat. These behaviors are functionally adaptive, in that they end the competition and fighting, thereby limiting physical injury or risk of death. In humans, competition for power is often not physical (Sloman, Gilbert, & Hasey, 2003). Rather, loss of power may result either from direct challenges or from loss of important social resource holding potential. Even when power has been lost due to a change in social resource holding potential, submissive behavior has a number of important functions. Communicating acceptance of the subordinate status should reduce the probability of ongoing punishment or conflict, and it may elicit help from others. Experiences of involuntary subordination that create a subjective sense of defeat are therefore expected to trigger submissive behaviors, a response initially labeled the Involuntary Subordinate Strategy (Price, Sloman, Gardner, & Gilbert, 1994), and more recently labeled the Involuntary Defeat Strategy (Sloman, 2000). The Involuntary Defeat Strategy may involve escape, or at times when escape is not feasible, submissive behavior.

Research validates that even nondepressed individuals with self-perceived powerlessness will engage in more submissive behaviors during interactions with a superior (Fournier et al., 2002). If the organism is able to escape, gain help from others, or if a new, more stable, social rank system is achieved, Involuntary Defeat has achieved its function, and the strategy should terminate. Depression is theorized to reflect a failure to terminate the Involuntary Defeat Strategy (Sloman, 2000; Sloman & Price, 1987; Sloman, Price, Gilbert, & Gardner, 1994). That is, depression is hypothesized to result from an inability to recover from subordination experiences, typically because escape is blocked (Gilbert, 1992). Other authors have suggested that depression might be caused by excessive social comparison and the tendency to view oneself as inferior (Swallow & Kuiper, 1988).

Self-Report and Observational Findings

The central tenet of the Involuntary Defeat Strategy theory is supported by several studies suggesting that individuals with depression experience a subjective sense of subordination (see Table 5). For example, self-reported feelings of inferiority and subordination were correlated with depressive symptoms in both clinical and nonclinical samples (Allan & Gilbert, 1997; Gilbert & Allan, 1998; Gilbert, Allan, & Trent, 1995; Gilbert, McEwan, Bellew, et al., 2009; Troop & Baker, 2008; Wyatt & Gilbert, 1998) and with severity of depression history in a diagnosed sample (Sturman & Mongrain, 2008). Several studies have also found correlations between depressive symptoms and tendencies to experience shame (Harder, Cutler, & Rockart, 1992; Harder & Lewis, 1987; Hoblitzelle, 1987; Tangney, Wagner, & Gramzow, 1992; Wright et al., 1989), particularly shame from others (Gilbert, Cheung, Grandfield, Campey, & Irons, 2003; Gilbert, McEwan, Bellew, et al., 2009; Harder & Zalma, 1990). Studies using a variety of measures thus suggest that depressive symptoms are highly correlated with feelings of subordination. Consistent with the human findings, repeated social defeat has been shown to induce depressive symptoms, including weight loss, poor sleep, social withdrawal, and diminished motivation for and interest in reward in animals (Becker et al., 2008; Fuchs & Flügge, 2002; Keeney et al., 2006; Rygula et al., 2005).

Table 5. Studies of DBS in Depression.
Author & Year Sample Gender Age DBS Measure Depression Measure Result
Self-Report and Observational Findings

*Allan & Gilbert (1997) Study 1: 332 undergraduates and 136 psychiatric outpatients
Study 2: 154 undergraduates
Both Study 1: Student M =22.9 and Clinical M =39.7
Study 2: M =23.5
SBS Study 1: SCL-90-R Depression Score
Study 2: CESD
Submissive behavior correlated with the SCL-90-R Depression among students, r =.48, and patients, r =.53, and with the CESD among students, r =.30.
Andrews (1995) 101 community members Female 32-56 Bodily Shame interview PSE Depression diagnoses at baseline and over 8-year follow-up Bodily shame was elevated among those with recurrent and chronic depression compared to those with a single episode or no depression.
Gilbert & Allan (1998) 302 students and 90 depressed outpatients Both M =22.9 SCS, SBS CESD, BDI Submissiveness (SBS) and low perceived social comparison (SCS) uniquely related to depression in both samples.
Gilbert, Allan, & Goss (1996) 90 university and graduate students Female M =24.6 Four items to capture childhood experiences of parental put-downs and shaming, rated separately for mothers and fathers. GHQ-28 Depression scale Experiences of maternal, r =.29, and paternal shaming, r =.22, correlated with depression.
Gilbert et al. (1995) 50 college and nursing students; 29 people who met criteria for neurotic depression 25% male M =32 SBS, SCS BDI Submissive behavior (SBS) and low social comparison (SCS) correlated with depression in both samples, all rs > |.47|.
*Gilbert, Broomhead et al. (2007) 207 outpatients diagnosed with depression 13% male M =21.77 SAIS, HCA, SCS, SBS DASS21 DBS indices accounted for 34% of the variance in depression. In a regression model, SBS, SAIS, and SCS were most strongly related to depression.
Gilbert et al. (2003) 225 undergraduates 24% male M =24.53 SCS, OAS; ELES developed in this study to measure childhood threat, submissiveness and being devalued CESD Shame (OAS) and childhood submissiveness (ELES) correlated with depression. In a regression model of multiple scales covering childhood experiences, only childhood submissiveness (ELES) uniquely predicted depression.
*Gilbert, McEwan, Bellew et al. (2009) 45 outpatients and 17 inpatients 42% male M =44.32 SAIS, SCS, SBS, OAS DASS21 Depression correlated with more striving to avoid inferiority (SAIS), r =.52, submissive behavior (SBS), r =.42, shame (OAS), r =.54, and lower social comparison (SCS), r =-.45.
*Harder, Cutler, Rockart (1992) 71 undergraduates Both College aged ASGS Shame SCL-90-R Depression Shame proneness correlated with depression, r =.38.
*Harder & Lewis (1987) 120 undergraduates Both College aged Single item rating of shame-proneness (and other shame measures with poor psychometric characteristics) BDI Shame proneness correlated with depression, r =.50
*Harder & Zalma (1990) 63 undergraduates 59% male M =18.46 ASQS Shame Proneness, PFQ-2 Shame BDI Depression correlated with ASGS Shame, r =.39 and PFQ2 Shame, r =.41. Shame was more closely related to depression than was guilt.
Hoblitzelle (1987) Undergraduates
Study 1 n =71
Study 2 n =124
Both College aged ASGS Shame Study 1: SDS
Study 2: SDS, BDI
Study 1: Shame correlated with depression, r =.42
Study 2: Shame correlated with depression (SDS r =.57, BDI r =.44).
*Horowitz et al. (1988) 103 outpatients 14% male 20-64; M=32.7 IIP SCL-90-R Depression Submissiveness correlated with depression, r =.35, but submissiveness was not more elevated than other interpersonal problems on the IIP.
*Kasser & Ryan (1993), Study 2 198 students Both M =20 Aspiration Index CESD High aspirations for financial success, r =.24, and low aspirations for affiliation, r =-.21, were related to higher depression.
*Mehrabian & Bernath (1991) Undergraduates
Study 1 n =124
Study 2 n =129
Both College aged PAD Do 29 measures of depression and anxiety Submissiveness was related to depression in both samples.
Sturman & Mongrain (2008) 146 graduate students with a history of major depression 28% male Median =28 SCS SCID diagnoses of major depressive disorder telephone interviews at 16 month follow-up to assess depressive recurrence Low perceptions of social comparison were related to more previous depressive episodes (SCID), r =-.30, but did not predict depressive recurrence at follow-up.
*Tangney et al. (1992) Undergraduates
Study 1 n =245
Study 2 n =234
Both College aged SCAAI, TOSCA SCL-90 Depression scale, BDI Shame proneness (SCAAI, TOSCA) related to depression (SCL-90, BDI).
Troop & Baker (2008) 74 white-color office personnel Females M =24.6 SCS, SBS BDI-II Depression correlated with submissive behavior (SBS), r =.58 and perceptions of poor social comparison (SCS), r =-.55.
Vittengl et al. (2003) 118 patients with major depressive disorder 25.4% male M =42.73 IIP Baseline clinical diagnosis of major depressive episode Most IIP subscales were elevated at baseline; after recovery from depression, only Submissiveness remained elevated.
*Wright et al. (1989) 100 undergraduates 38% male College aged ASGS Shame SDS Shame correlated with depression, r =.48
Wyatt & Gilbert (1998) 113 undergraduate students 22% male M =24.88 OAS, SCS, SBS CESD Depression correlated with submissive behavior (SBS), r =.35, shame (OAS), r =.54, and low perceived social comparison (SCS), r =-.48.
Biological Findings in Males

Barrett-Connor, von Mühlen, & Kritz-Silverstein (1999) 856 community residents Males 50-89 Serum available T BDI Men with high depression scores had T levels 17% lower than those with lower depression scores.
*Booth et al. (2003) 315 boys in working and middle class families Males 6-18; M =13 AM saliva total T, adjusted for sampling time variability, pubertal status Adolescents: CESD Children: CDI Lower T related to depression only among boys with poor parent relationships.
*Booth et al. (1999) 4,393 military veterans Males M =37 AM serum T DIS In the lower range of T (< 590), deficits in T were related to higher depression rates.
Colangelo et al. (2007) 1246 community residents (525 black; 721 white) Males < 40; M =35 AM serum T; CAG, a gene encoding for androgen receptor function CESD No main effects of T. Among African American men only, low T related to depression among those with a polymorphism of the CAG gene.
*Dabbs et al. (1990) 5236 US military veterans Males M =37 Serum T DIS number of depressive symptoms T was unrelated to depression.
Delhez, Hansenne, & Legros (2003) 153 community members Males 50-70 AM serum free T CRS T was correlated with lower depression, r =-.17.
*Granger et al. (2003) 106 students Males M =13.66 Saliva T gathered three times per day on multiple days to model latent constructs for mean T level and diurnal variation Anxiety-depression score derived from CBCL, YSR, and DISC Lower T and T that decreased more slowly across the day were related to higher anxiety–depression among boys.
Loizides et al. (2004) 638 hypogonadal men Males M =52.7 Testim T replacement tmt for 30 days Daily ratings of positive and negative mood T was related to less negative mood and more positive mood over time.
McNicholas et al. (2003) 208 hypogonadal men Males 31-80 Testim T replacement tmt compared low dose T patch Self-ratings of positive and negative mood Although tmt groups did not differ in mood at the end of treatment, only Testim produced significant increases in positive mood and decreases in negative mood.
Morsink et al. (2007) 1406 well-functioning elderly men who were not taking steroids Males 70-79 Serum total and free T assessed after an overnight fast CESD Those with total T levels in the lower quartile had higher depressive symptoms.
*Nottelmann et al. 1987 56 students Males 9-14 AM serum T CBCL T was unrelated to depression.
Okun et al. (2002) 5 hypogonadal patients with Parkinson's disease Males 59-87 T replacement tmt Clinical interview after 1-4 months of treatment T replacement tmt was related to improvement in depressed mood.
Schmidt et al. (2004) 31 participants with no psychiatric history Males M =30.8 All received Lupron, a medication that induces hypogonadalism. After 1 month, men were randomly assigned to receive T replacement tmt or placebo. BDI Among men taking Lupron, about 10% developed depressive symptoms. Within those prescribed Lupron, depression scores were significantly lower in the tmt group than the placebo group.
Seidman et al. (2001) 1000 community residents Males 48-79; M =62.6 Average of two AM serum total T assays; polymorphic CAG repeat region resides on exon 1 of the androgen receptor gene CES-D Lower T was associated with depression only among men with the shorter CAG RLs. Depression scores were particularly elevated for men in the lowest quintile of the T distribution.
Seidman et al. (2002) Participants who met DSM-IV criteria for major depressive disorder (N=13) or dysthymic disorder (N=32) and a comparison group (N=175) from a community representative sample Males ≥ 60 Average of two AM serum total T assays SCID, CESD The dysthymic disorder group had lower T levels (295 ng/dl) than the major depressive disorder (425 ng/dl) and no depression groups (423 ng/dl).
Seidman et al. (2009) 23 men with dysthymic disorder and low T Males 40-65 Randomly assigned to receive T replacement tmt or placebo for 40-48 days HDRS 21 item version Those receiving T replacement tmt had lower depression scores at 6 weeks than did those receiving placebo.
Shamlian & Cole (2006) Review of androgen supplement trials in older men Males Older men Wide range of androgen tmt varied Six of 8 open trials had positive results, and 5 of 12 randomized trials had positive results.
Shores et al. (2004) 278 community members with no prior depressive disorder Males ≥ 50; M =62.6 Total T < or ≥ 2.5ng/mL. Assay methods not described. ICD-9 depression diagnoses Hypogonadal men had an increased rate of depressive illness (18.5%) compared to men with normative T (10.4%) in the two years after baseline
Shores et al. (2005) 748 men receiving medical care through the VA system with no prior depressive illness recorded Males ≥ 45; M =67.1 294 hypogonadal men compared to men with T in the normative range ICD-9 depression diagnoses Low T predicted higher rates of depressive diagnosis over the next two years (21.7%) compared to normative T levels (7.1%).
*Susman et al. (1991) 56 students Males 10-15 Serum T assays averaged across 3 samples CBCL Internalizing Problem Behavior Scores, DISC number of depression symptoms T was unrelated to depression.
T'Sjoen et al. (2005) 283 community members Males 70-85 AM serum total T; AR CAG repeat length GDS measured over 4-year follow-up Depression was unrelated to T at baseline or follow-up.
Wang et al. (2004) 123 hypogonadal adults Males M =51.4 T replacement tmt for 42 months Diaries of mood Positive and negative mood scores improved rapidly with T tmt, and mood gains were sustained for one year.
Zitzmann et al. (2006) 434 andrological outpatients Males 50-86 AM free and total T Self-reported depression Low total T was related to higher depression: 15% of men with total T levels < 10 reported depression symptoms.
Biological Findings in Females
*Booth et al. (2003) 214 working and middle class participants Females 6-18; M =13 AM saliva total T, adjusted for sampling time variability, pubertal status CESD CDI Low T was related to depression only among those girls ages 14-18 with poor father–daughter relationship quality.
Erdinçler et al. (2004) 74 depressed and nondepressed outpatients Females > 60 Serum T gathered without regard to time of day GDS, clinical interview to assess DSM-IV depression T was unrelated to depression.
*Granger et al. (2003) 107 adolescents Females M =13.66 AM saliva three times per day for three days to model latent constructs for T mean level and diurnal variation Anxiety-depression scale based on latent modeling of CBCL, YSR, and DISC T was unrelated to depression.
Haren et al. (2007) 244 African Americans Females 45-69; M =56.9 Serum total T CESD T was unrelated to depression.
Morsink et al. (2007) 1449 well-functioning participants; those taking steroids or with total T >130 ng/dl were excluded. Females 70-79 Free T assessed after an overnight fast CESD T correlated negatively with depression.
*Nottelmann et al. 1987 52 students Females 9-14 AM serum T CBCL T was unrelated to depression.
Schmidt et al. (2002) Community participants
Study 1 n =42
Study 2 n =50
Females 40-55; M =48 Plasma samples gathered at various times of day for total T, free T SCID, SADS-L, CESD to assess onset of minor or major depression after menopause T was unrelated to depression.
*Susman et al. (1991) 52 students Females 9-14 Serum T assays averaged across 3 samples gathered in an hour CBCL Internalizing scores, and DISC number of depression symptoms T was unrelated to depression.

Note. ASGS =Adapted Shame and Guilt Scale; BDI =Beck Depression Inventory; CBCL =Child Behavior Checklist; CDI =Children's Depression Inventory (Kovacs, 1981); CESD =Center for Epidemiological Studies Depression Scale; CRS =Carroll Rating Scale for Depression (Carroll, 1981); DASS21 =Depression, Anxiety and Stress Scale (Lovibond & Lovibond, 1995); DIS =Diagnostic Interview Schedule; DISC =Diagnostic Interview Schedule for Children; DSM-IV =Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (APA, 1994); ELES =Early Life Experiences Scale (Gilbert et al., 2003); GDS =Geriatric Depression Scale(Yesavage, 1991); GHQ-28 =General Health Questionnaire-28 item version (Goldberg & Hillier, 1979); GOI =Goal Orientation Inventory (Dykman, 1998); HCA =Hypercompetitive Attitudes Scale (Ryckman et al., 1990); HDRS=Hamilton Rating Scale for Depression (Hamilton, 1967); ICD-9-CM =International Classification of Diseases, 9th Revision, Clinical Modification (US US DHHS, 1991); IIP =Inventory of Interpersonal Problems; K-SADS =Schedule of Affective Disorders and Schizophrenia for School-Aged Children; OAS =Other as Shamer Scale (Allan, Gilbert, & Goss, 1994; Goss, Gilbert, & Allan, 1994); PAD Do =Pleasure-Arousal-Dominance Scales Dominance Subscale; PFQ-2 =Personal Feelings Questionnaire-Revised; PSE =Present State Examination (Cooper, 1977); SADS-L =Schedule of Affective Disorders and Schizophrenia-Lifetime Version (Spitzer & Endicott, 1979); SAIS =Striving to Avoid Inferiority Scale (Gilbert, Broomhead, et al., 2007); SBS =Submissive Behavior Scale; SCAAI =Self-Conscious Affect and Attribution Inventory (Tangney et al., 1988); SCID =Structured Clinical Interview for DSM Diagnoses; SCL-90 =Symptom Checklist-90 (Derogatis, Lipman, Rickels, & al, 1974); SCL-90-R =SCL-90-Revised (Derogatis & Lazarus, 1994); SCS =Social Comparison Scale; SDS =Self-Rating Depression Scale (Zung, 1965); SES =socioeconomic status; STAI =State-Trait Anxiety Inventory (Spielberger, Gorsuch, & Lushene, 1970); T =testosterone; tmt = treatment; TOSCA =Test of Self-Conscious Affect; YSR =Youth Self Report (Achenbach, 1991c).

*

Findings from this study are described in another table.

According to the Involuntary Defeat Strategy theory, perceptions of subordination should trigger submissive behavior in depressed individuals. Consistent with this idea, tendencies toward submissive behavior correlate with depressive symptoms (Gilbert, Broomhead, et al., 2007; Gilbert, McEwan, Bellew, et al., 2009; Mehrabian & Bernath, 1991; Troop & Baker, 2008; Wyatt & Gilbert, 1998), and to persist even after symptoms remit (Vittengl, Clark, & Jarrett, 2003). One caveat though, is that difficulties with assertiveness, although related to depression, were not any more pronounced than other interpersonal concerns for people experiencing depressive symptoms in one study (Horowitz, Rosenberg, Baer, Ureño, & Villaseñor, 1988).

Experiences of involuntary subordination might have their origins in childhood or the more recent past (Gilbert, 2000b; Sloman et al., 2003). Individuals with high depression scores have been shown to endorse experiences of shame and put-downs from their parents, which are correlated with adulthood experiences of subordination, submissiveness, and shame (Gilbert et al., 2003). In one study of college students, self-reported experiences of submissiveness and subordination during childhood were more related to depressive symptoms than were measures of early threat or experiences of being devalued (Gilbert et al., 2003). In one eight-year longitudinal study, Andrews (1995) found that body shame mediated the link between early childhood abuse and recurrent episodes of major depression during adulthood. Shame was more correlated with depression than was a more general measure of self-esteem. Beyond these early experiences, extensive research on the triggers of depression fit with the idea of diminished social resource holding potential (Allen & Badcock, 2003). For example, one of the best validated triggers for major depression is the experience of major life events involving loss or failure – events that could be conceptualized as symbolizing defeat (Brown & Harris, 1989). Beyond specific life changes, depression is robustly predicted by broad social contexts involving subordination, such as poverty. For example, people living at or below the poverty level have been shown to have a 3.8-fold increase in depression risk compared with those whose income is at least three times the poverty level (Kessler et al., 2003b). Interestingly, the SES ladder, a self-report measure of self-perceived power relative to others in the same country, is a more robust predictor of psychological distress than are objective income and education levels (Singh-Manoux, Marmot, & Adler, 2005). Although these findings regarding social predictors are consistent with many different models of depression, they are easily understood as markers of low power, and as such, fit well with the subordination model of depression.

In addition to self-perceived power, a person's desired power (or dominance motivation) may help shape whether depression unfolds as a consequence of reductions in social resource holding potential. Individuals who strive for high status goals, such as wealth, have been shown to be at higher risk for depressive symptoms (Kasser & Ryan, 1993). Gilbert, Broomhead and colleagues (2007) have argued that rather than striving for unusually high status, most people who are depressed strive to avoid submissive roles. Self-ratings on a scale designed to measure striving to avoid inferiority have been found to correlate with depressive symptoms (Gilbert, Broomhead, et al., 2007; Gilbert, McEwan, Bellew, et al., 2009). Moreover, the Striving to Avoid Inferiority scale was more powerfully related to depression than was the Hypercompetitive Attitudes Scale (Ryckman, Hammer, Kaczor, & Gold, 1990), a scale designed to capture the desire to win at all costs (Gilbert, Broomhead, et al., 2007).

One would expect that wanting a higher rank would intensify the negative outcomes of low perceived rank. Across studies, striving to avoid inferiority and submissiveness jointly predict risk for depression (Gilbert, Broomhead, et al., 2007; Gilbert, McEwan, Bellew, et al., 2009). The mismatch, then, between wanting not to be submissive and actual life experiences of defeat may set the stage for the development of depressive symptoms.

Biological Evidence

There is a large literature on testosterone and depression. We consider findings regarding testosterone separately by age group and gender, and we do not include studies that have failed to differentiate gender and age groups in analyses. Given the age-related declines in testosterone in males, one would expect late life to be an important window for studying such effects. We therefore begin by describing studies of older men, and then turn to the literature in other age and gender groups.

As shown in Table 5, low testosterone has been found to relate to higher depressive symptom scores in two large samples of older men (Barrett-Connor, Von Mühlen, & Kritz-Silverstein, 1999; Morsink et al., 2007), but one nonreplication also exists (T'Sjoen et al., 2005). Some studies clarify that depression risk may be confined to men with hypogonadism (abnormally low testosterone levels), with no difference in depression rates observed in men with average or high testosterone levels (Booth et al., 1999; Zitzmann, Faber, & Nieschlag, 2006). Indeed, questionnaires used to assess behavioral symptoms of testosterone deficiency include symptoms of depression, such as negative mood, low energy, and decreased enjoyment of pleasurable activities (Okun, McDonald, & DeLong, 2002), and researchers have identified high levels of depressive symptoms (Booth et al., 1999; Morsink et al., 2007; Zitzmann et al., 2006) and diagnosable depression (Shores, Moceri, Sloan, Matsumoto, & Kivlahan, 2005; Shores et al., 2004) in men who have clinically significant deficits in testosterone. Nevertheless, testosterone deficiencies may relate more to milder depressive symptoms than to severe symptoms (Delhez, Hansenne, & Legros, 2003) and to dysthymic disorder more than to major depressive disorder (Seidman et al., 2002). Overall, there is reason to believe that hypogonadism is a risk factor for mild and chronic depressive symptoms in elderly men.

Genetic findings also support the idea that abnormally low testosterone function may be related to depression. A polymorphism involving a shorter repeat length in the androgen receptor CAG diminishes androgen receptor sensitivity, and testosterone levels were unrelated to depression in the absence of this polymorphism. Among persons with a shorter CAG repeat length, low testosterone was related to a five-fold increase in depression risk (Seidman, Araujo, Roose, & McKinlay, 2001). This effect was replicated in one study of younger African-American men but has not been verified in other ethnic groups (Colangelo et al., 2007). Thus, some evidence suggests that genes that reduce testosterone function can increase depression risk among men.

Beyond naturalistic studies, experimental evidence also suggests that testosterone deficiencies relate to depression. Androgen deprivation agents, which deplete testosterone, are used as one form of treatment for severe sexual offenders. In a double-blind controlled trial, about 10% of men taking androgen deprivation agents developed depressive symptoms compared with none of the men in the placebo control group, and these depressive symptoms were relieved by testosterone replacement therapy but not by placebo (Schmidt et al., 2004).

Historically, testosterone was used as an antidepressant (Danziger, Schroeder, & Unger, 1944), and researchers have begun to reconsider this approach. In open trials, six out of eight studies of testosterone supplements for the treatment of depression in older men yielded positive results (Shamlian & Cole, 2006). Findings have been more mixed in randomized controlled trials, with only five out of 12 trials yielding positive results, and one yielding equivocal results (Shamlian & Cole, 2006). Several treatment studies converge with the naturalistic findings, in that testosterone supplementation reduced depressive symptoms among those individuals with clinically significant testosterone deficits (Loizides, Swierzewski, O'Neill, Griesser, & Smith, 2004; McNicholas, Dean, Mulder, Carnegie, & Jones, 2003; Wang et al., 2004) and was more effective in treating dysthymic disorder than major depressive disorder (Seidman et al., 2009).

Clinically significant deficits in testosterone are rare in younger males and in women, so it may be harder to obtain effects when considering healthy variations in testosterone within these populations. Indeed, studies have not shown links between testosterone levels and depressive symptoms in younger adult men (Colangelo et al., 2007; Dabbs et al., 1990) and boys aged 9 through 14 (Nottelmann et al., 1987). Similarly, most studies have not found evidence for the direct effects of low testosterone on risk for depression among adolescent girls (Booth et al., 2003; Granger et al., 2003; Susman, Dorn, & Chrousos, 1991), middle-aged women (Haren et al., 2007), or elderly women (Barrett-Connor, von Mühlen, Laughlin, & Kripke, 1999; Erdincler, Bugay, Ertan, & Eker, 2004; Pope & Katz, 1988). In the only exception to this pattern of null results, Morsink and colleagues (2007) found evidence that testosterone deficits were related to depression in women aged 70 and older, which may be explained by declines in testosterone that occur later in life.

Given that hypogonadism is rare in women and younger males, it may be important to consider more refined testosterone indices and potential moderators. For example, in one study of younger males, diurnal rhythms in testosterone (diminished amplitude of change across the day) were found to be more strongly related to depressive symptoms than were mean levels across the day (Granger et al., 2003). In another study of adolescent girls and boys, the effects of testosterone were found to be most pronounced against a backdrop of social risk factors for depression, such as disrupted parent-child relationships (Booth et al., 2003).

In sum, hypogonadism in elderly men is related to risk for depression, particularly risk for milder chronic symptoms, and testosterone supplements appear to relieve these forms of depressive symptoms. In younger individuals and in women, who rarely exhibit testosterone deficiencies, the influence of low testosterone on depressive symptoms may only be apparent with more sophisticated analyses, such as those incorporating diurnal rhythms or the social environment. A single randomized control trial has examined the effects of antidepressant medication on DBS components. Results of that study indicated that nondepressed individuals who were prescribed Citalopram appeared less submissive to members of their household and exhibited more dominant interactions with strangers (Tse & Bond, 2002). Given these findings, it may be fruitful for more studies to examine the influence of antidepressant medication on submissive behavior in depressed individuals, and how this variable relates to the overall treatment response.

Summary of the DBS Findings Regarding Depression

Self-report and observational data suggest that depression is related to perceived subordination, and many of the social triggers for depression can be conceptualized as indicators of a loss of social resource holding potential. Rather than focusing on elevated dominance motivation, theory in this area centers on the motive to avoid inferiority, and scales designed to capture this motivation are consistently related to depression, providing support for the involuntary subordination model. Biological data suggest that extreme deficits in testosterone can trigger depression, and testosterone supplements can relieve symptoms that are attributable to these deficits. In examining testosterone, it is important to consider that clinically significant deficits of testosterone are rare in younger males and women, and accordingly, naturalistic research has been most productive in exploring the effects of testosterone in older men and women over the age of 70.

Anxiety

The conceptual models and the empirical findings regarding DBS in depression and anxiety are highly parallel, and this overlap may help explain the frequent co-occurrence of anxiety and depression. Most studies of anxiety have focused on symptom severity scales, which tend to cover the frequency and intensity of anxious mood, as well as somatic cues of anxiety. Studies of diagnosed anxiety have tended to focus on social anxiety disorder, which is defined in the DSM-IV-TR by an intense and persistent fear of social or performance situations in which an individual fears that he or she will be scrutinized and, ultimately, humiliated (APA, 2000).

Theory

As with depression, anxiety has been theorized to involve concerns about social power, involuntary subordination, and involuntary defeat strategies, or submissiveness. We will note subtle distinctions between anxiety and depression, however, as we cover studies that attempt to differentiate between the DBS profiles of these two disorders. Trower and Gilbert (1989) suggest that persons with social anxiety are overly focused on dominance hierarchies and competition at the cost of a focus on connectedness. We will focus on aspects of this theory that are relevant to the DBS (see Trower & Gilbert, 1989 for more discussion). Within this model, early life experiences of insecure attachment set the stage for a hypersensitivity to how one compares to others, resulting in an overemphasis on social comparison (one form of dominance motivation). Social anxiety disorder is also characterized by self-perceptions of subordinate status (Aderka, Weisman, Shahar, & Gilboa-Schechtman, 2009). Accordingly, the individual sets a goal of avoiding rejection, harm, or ostracism by the social group member who has the highest power. Within this framework, social attention is interpreted as an indicator of inclusion (Gilbert, 1997), and angry responses, while posing a threat to power, may nonetheless be seen as conferring attention, which is preferable to ostracism. Thus to avoid rejection or ostracism, the socially anxious individual is theorized to engage in submissive behaviors. Within this framework, then, social anxiety is expected to relate to vigilance to cues of social rank, low self-perceptions of power, and engagement in submissive behavior.

Other authors have theorized that social anxiety is caused by a hypersensitivity to dominance cues (Mineka & Õhman, 2002; Trower & Gilbert, 1989). Different models of how this might be expressed have been developed. Öhman (1986) hypothesized that angry faces, conceptualized as a cue of threat to power, would be particularly salient and threatening to persons with social anxiety disorder. This theory, then, predicts an opposite pattern of results compared to Gilbert's model, in that persons with social anxiety disorder are expected to be particularly sensitive to cues such as angry faces.

Self-Report and Observational Findings

An extensive literature has considered the role of the DBS in anxiety, and particularly social anxiety (see Table 6). We begin with a discussion of findings for anxiety generally and then turn to findings regarding social anxiety. Consistent with theory, high scores on anxiety measures appear to relate to low self-perceptions of power. Individuals with high anxiety scores describe feeling that they are overlooked, rejected, and have subordinate status (Gilbert, McEwan, Bellew, et al., 2009). Consistent with these low self-perceptions of power, anxiety is correlated with higher shame-proneness (Harder et al., 1992; Tangney et al., 1992) and self-reported submissive behavior (Allan & Gilbert, 1997; Gilbert, Broomhead, et al., 2007; Gilbert, McEwan, Bellew, et al., 2009; Mehrabian & Bernath, 1991; Mehrabian & O'Reilly, 1980).

Table 6. Studies of the DBS in Anxiety.
Author & Year Sample Gender Age DBS Measure Anxiety Measure Results
Self-Report and Observational Findings
*Allan & Gilbert (1997) 332 students and 136 psychiatric outpatients Both Mstudents =22.9
Mclinical =39.7
SBS SCL-90-R Anxiety Submissiveness correlated with anxiety, r =.36 among students and r =.48 among patients.
Antony et al. (2005) 59 people with social phobia and 58 healthy controls Both M =34 Modified RSCD completed daily for 2 weeks SCID social phobia diagnoses The social phobia group did not report engaging in more social comparisons
Cain et al. (2010) 77 socially phobic outpatients 57% male M =32.78 IIP SCID-IV social phobia diagnoses Persons with social phobia endorsed elevated submissiveness compared to normative data.
Fodor & Wick (2009) 259 undergraduates Both College aged PSE N Pow ABS, electromyographic recording of brow supercilii Need for power predicted greater increase in self-reported anxiety and facial expressions of anxiety in response to negative feedback on a speech.
*Gilbert, Broomhead et al. (2007) 207 outpatients diagnosed with depression 13% male M =21.77 SAIS, HCA, SCS, SBS DASS21 In a regression model, only submissive behavior (SBS) uniquely related to anxiety, r2 =.28
*Gilbert, McEwan, Bellew et al. (2009) 45 outpatients and 17 inpatients 42% male M =44.32 SAIS, SCS, SBS, OAS DASS21 Anxiety correlated with self-ratings of more insecure striving (SAIS), r =.52, lower social comparison (SCS), r =-.36, more submissive behavior (SBS), r =.46, and more shame (OAS), r =.54.
Halvari & Gjesme (1995) 33 undergraduates who engaged in sports 64% male 20-32 Outcome of competition for a 25 second motor task SCAT before and after the competition, STAI State Anxiety Scale Those who did well in the competition experienced a significant drop in anxiety (SCAT), whereas those who did poorly experienced a significant increase in anxiety.
*Harder, Cutler, Rockart (1992) 71 undergraduates Both College aged ASGS Shame SCL-90-R Shame proneness correlated with anxiety, r =.31.
*Harder & Lewis (1987) 120 undergraduates Both Single item rating of shame (other measures with poor psychometric characteristics) SAS Shame proneness correlated with social anxiety, r =.31.
*Harder & Zalma (1990) 63 undergraduates 59% male M =18.46 ASGS Shame, PFQ-2 Shame SAS Social anxiety correlated with ASGS Shame, r =.39 and demonstrated a nonsignificant positive correlation with the PFQ2 Shame, r =.23.
Heerey & Kring (2007) 120 undergraduates Both Not specified Behavioral ratings of dyadic social interactions IAS Socially anxious participants engaged in more reassurance-seeking behavior.
*Horowitz et al. (1988) 103 outpatients 14% male 20-64 (M=32.7) IIP SCL-90-R Anxiety Submissiveness correlated with anxiety, r =.32, but anxiety was related to many interpersonal problems on the IIP.
*Kasser & Ryan (1993), Study 2 198 students Both M =20 Aspiration Index STAI High aspirations for financial success, r =.32, and low aspirations for affiliation, r =-.37, related to higher anxiety (STAI).
Lennox & Wolfe (1984) 224 college students Both College aged CAS FNE Social anxiety correlated with threat from social comparisons, r =.64.
*Mehrabian & Bernath (1991) Undergraduates
Study 1 n =124
Study 2 n =129
Both College aged PAD Do 29 measures of depression and anxiety Submissiveness correlated with anxiety in both samples.
Mehrabian & O'Reilly (1980) 211 undergraduates Both College aged PAD Do STAI Submissiveness correlated with trait anxiety; r =-.37.
*Krueger et al. (1996) 897 Dunedin community residents 52% male 18 MPQ SPS DIS Diagnoses Dominance motivation was unrelated to anxiety disorder
*Tangney et al. (1992) Undergraduates
Study 1 n =245
Study 2 n =234
Both College aged SCAAI, TOSCA SCL-90 Anxiety and Social Phobia scales, STAI Shame proneness was related to all anxiety indices.
Trower et al. (1998) 24 students 29% male First year undergraduates After a stressful dyadic interaction, participants were asked to rate their dominance from a videotape of the interaction. High and low scores on the FNE scale Students in the socially anxious group rated themselves as less dominant than did those in the control group.
Walters & Hope 1998) 53 people diagnosed with social phobia and 28 healthy controls Both Not specified Behavioral coding of a structured social interaction with a stranger ADIS-R Social Phobia Diagnoses The social phobia group engaged in less dominant behavior (commands, bragging) than the control group.
Biological Findings
*Granger et al. (2003) 213 students 50% male M =13.66 Saliva samples gathered three times per day on multiple days to form latent constructs for T M level and diurnal variation Anxiety-depression scale formed using latent modeling of the CBCL, A-YSR, and DISC. Low mean T and slower diurnal decline of T over the day related to anxiety/depressive symptoms but only among boys.
Maner et al. (2008) 64 undergraduates 36% male M =18.9 Baseline T and change in T in response to competition SPS Basal T was unrelated to anxiety. Social anxiety predicted more of a drop in T after losing the competition among men, not women.
*Olweus et al. (1980) 58 students Male 15-17 Serum samples of T averaged across 2 morning sample MCA T was unrelated to anxiety.
*Susman et al. (1991) 108 students 52% male 9-14 Serum levels of T averaged across 3 samples gathered in an hour DISC number of anxiety symptoms, CBCL Internalizing scale Contrary to hypotheses, higher T related to anxiety at baseline among boys. T was unrelated to anxiety among girls.
van Honk et al. (2005) 16 community residents Females 19-26 Single dose of 5 mg T or placebo STAI T was unrelated to anxiety.

Note. ABS =Affect Balance Scale (Downey & Feldman, 1996); A-CBCL =Abbreviated Version of the Child Behavior Checklist (Achenbach, 1991a); ADIS-R =Anxiety Disorders Interview Schedule-Revised (DiNardo & Barlow, 1988); ASGS =Adapted Shame and Guilt Scale; CAS =Concern for Appropriateness Protective Social Comparison Scale; CBCL =Child Behavior Checklist; DASS21 =Depression, Anxiety and Stress Scale; DISC =Diagnostic Interview Schedule for Children; DIS =Diagnostic Interview Schedule; FNE =Fear of Negative Evaluation Scale (Watson & Friend, 1969); HCA =Hypercompetitive Attitudes Scale; IAS =Interaction Anxiousness Scale (Leary & Kowalski, 1993); IIP =Inventory of Interpersonal Problems; M =mean; MCA =Multi-Component Anxiety Inventory (Schalling, Cronholm, & Asberg, 1975); MPQ SPS =Multidimensional Personality Questionnaire Social Potency Scale; OAS =Other as Shamer Scale; PAD Do =Pleasure-Arousal-Dominance Scales – Dominance Scale; PFQ-2 =Personal Feelings Questionnaire-Revised; PSE N Pow =Picture Story Exercise Need for Power; RSCD =Rochester Social Comparison Diary (Wheeler & Miyake, 1992); SAIS =Striving to Avoid Inferiority Scale; SAS =Social Anxiety Scale (Fenigstein, Scheier, & Buss, 1975); SBS =Submissive Behavior Scale; SCAAI =Self-Conscious Affect and Attribution Inventory; SCAT =Sport Competition Anxiety Test (Martens, 1977); SCS =Social Comparison Scale; SCID =Structured Clinical Interview for DSM Diagnoses; SCL-90 =The Symptom Checklist 90; SCL-90-R =Symptom Checklist-90-Revised; SPS =Social Phobia Scale (Mattick & Clarke, 1998); STAI =The State-Trait Anxiety Inventory; T =testosterone; TOSCA =Test of Self-Conscious Affect.

*

Findings from this study are described in another table.

Most of the research on power and anxiety is cross-sectional and naturalistic, but there is some experimental evidence to support the idea that subordination can provoke anxiety. In a study of college students who took part in a 25-second competition, losing led to increases in anxiety levels, and the strength of this response was moderated by baseline anxiety levels (Halvari & Gjesme, 1995). Although longer-term studies are not available, these findings are consistent with the idea that anxiety might unfold as a consequence of diminished power.

One might expect dominance motivation to intensify reactivity to subordination, and several studies have highlighted the importance of dominance motivation. In one study, implicit measures of dominance motivation were found to predict more anxiety in response to rigged negative social feedback (Fodor & Wick, 2009). Although the study did not include clinical measures of anxiety, the findings fit with the idea that anxious responses are most likely to be observed in individuals with high dominance motivation who are experiencing threats to their social power. Consistent with this idea, aspirations for financial success have been related to higher anxiety scores (Kasser & Ryan, 1993). In the largest study to date (Krueger et al., 1996), however, individuals with anxiety disorders were not found to endorse higher dominance motivation than were non-disordered individuals. As with depression though, Gilbert and colleagues have argued that anxiety stems more from a desire to avoid inferiority than from a desire to achieve superiority (Gilbert, Broomhead, et al., 2007), and there is evidence that self-rated striving to avoid inferiority is correlated with anxiety scores (Gilbert, Broomhead, et al., 2007; Gilbert, McEwan, Bellew, et al., 2009). Striving to avoid inferiority thus appears to be more central to anxiety than does striving for dominance.

As with studies of general anxiety, studies of social anxiety have provided support for key aspects of the DBS model, including subordination, shame, and submissive behavior. Lennox and Wolfe (1984) found that social anxiety symptoms were related to high scores on the Attention to Social Comparison Information scale, a measure of sensitivity to, and motivation to avoid, social disapproval. By contrast, Antony, Rowa, Liss, Swallow, and Swinson (2005) did not find heightened attention to social comparison information among persons diagnosed with social anxiety disorder. Despite mixed findings regarding vigilance to cues of social rank, researchers have nonetheless found that people with social anxiety disorder tend to compare themselves unfavourably to others (Antony et al., 2005) and report more shame-proneness (Harder & Lewis, 1987; Tangney et al., 1992), particularly on shame measures that capture how one might be perceived socially (Harder & Zalma, 1990). Socially anxious individuals also appear to engage in more submissive behavior than do non-anxious controls, as indexed by self-report (Allan & Gilbert, 1997; Cain, Pincus, & Grosse Holtforth, 2010; Gilbert, Broomhead, et al., 2007; Gilbert, McEwan, Bellew, et al., 2009; Horowitz et al., 1988; Mehrabian & O'Reilly, 1980; Trower & Gilbert, 1989; Trower, Sherling, Beech, Horrop, & Gilbert, 1998) and observational measures (Heerey & Kring, 2007; Walters & Hope, 1998). On the whole, these findings suggest that social anxiety is related to self-perceptions of powerlessness and engagement in submissive behavior.

More than 70 articles have examined responses to angry faces in individuals with social anxiety disorder compared with healthy controls (see Staugaard, 2010 for review). Although group differences are less apparent when people view faces for longer periods of times, there is evidence that social anxiety disorder is related to more automatic attention to angry faces during the early phase of processing (e.g., < 500 milliseconds), as measured by eye-tracking and visual probe studies. Studies using evoked potentials also indicate that individuals with social anxiety disorders attend more to angry faces than do controls (Staugaard, 2010). Converging evidence thus supports the idea that social anxiety disorder relates to greater automatic reactivity to angry faces.

Biological Findings

A small number of human studies have examined testosterone in relation to anxiety disorders (see Table 6). One rationale for this work is that testosterone has been shown to enhance the function of GABA, a target of anxiolytic medications (Yang, Jones, & Henderson, 2005). Another rationale is that animal studies have found that testosterone administration reduces threat-sensitive behaviors (Bing et al., 1998; Bitran, Kellogg, & Hilvers, 1993; Boissy & Bouissou, 1994; Svensson, Åkesson, Engel, & Söderpalm, 2003). Correspondingly, gonadectomy (Edinger & Frye, 2004, 2006; Fernandez-Guasti & Martinez-Mota, 2005; Frye, Edinger, & Sumida, 2008; Toufexis, 2007; Umathe, Bhutada, Jain, Dixit, & Wanjari, 2008), genetic variations leading to diminished testosterone function (Frye, Koonce, Edinger, Osborne, & Walf, 2008; Pope & Katz, 1988; Umehara et al., 2006), and diminished testosterone levels observed with older age (Frye, Edinger, Lephart, & Walf, 2010) are related to greater threat sensitivity in animals, and testosterone administration appears to reduce this threat sensitivity (Bitran et al., 1993; Edinger & Frye, 2004; Fernandez-Guasti & Martinez-Mota, 2005; Frye, Edinger, et al., 2008; Frye & Edinger, 2004; Frye et al., 2010; Frye, Koonce, et al., 2008; Toufexis, 2007). Although most research has focused on male animals, the anxiolytic effects of testosterone have also been observed in female animals (Frye & Lacey, 2001). Although it is hard to differentiate depression and anxiety in animals, most researchers have interpreted the above findings as relevant to anxiety.

Extant findings regarding testosterone and anxiety in humans have been more mixed. Low mean testosterone levels and greater amplitude of change across the day have both been related to anxiety and depressive symptoms in boys but not in girls (Granger et al., 2003). Other studies have failed to find the expected correlation of low testosterone with anxiety (Olweus et al., 1980; Susman et al., 1991). In the only available pharmacological manipulation study, a single administration of testosterone did not influence self-rated anxiety among young adult women (van Honk et al., 2005). The small number of human studies, the lack of studies involving longer-term administration of testosterone, and the inconsistent pattern of findings preclude strong conclusions regarding the influence of testosterone and its precursors on anxiety.

Drawing on the idea that testosterone correlates with dominance motivation, some researchers have examined testosterone as an index of responsivity to social challenges in humans. Maner, Miller, Schmidt, & Eckel (2008) used changes in testosterone to index reactivity to threats to power. Specifically, participants completed a competitive task with a confederate, and the results were rigged so that one participant won by a wide margin and the other lost by a wide margin. Findings suggested that losing had a more pronounced effect on socially anxious men, as indexed by steeper drops in testosterone levels after losing compared with men who were not socially anxious. The same effect was not observed in women.

In sum, despite extensive animal research supporting the link between testosterone and anxiety in animals, androgens do not appear to be consistently related to anxiety in humans, and findings are particularly weak among females. One study suggests that social anxiety may be related to a greater reactivity of the testosterone system to stressors among men. Given the small number of human studies, the absence of studies across the lifespan, and the inconsistencies with the animal literature, more research in this area is needed.

Studies of the Unique Relations of Anxiety and Depression to the DBS

Many researchers have documented strong parallels in the DBS-relevant findings for depression and anxiety, with both syndromes related to perceptions of involuntary subordination, coupled with self-rated striving to avoid inferiority (cf. Allan & Gilbert, 1997; Gilbert, Allan, Brough, Melley, & Miles, 2002; Gilbert, McEwan, Bellew, et al., 2009; Tangney et al., 1992). The parallels are not surprising given the extremely high rates of comorbidity for anxiety and depressive disorders (Kessler et al., 2003). Some researchers have conducted analyses to examine the statistical overlap between depression and anxiety with dominance constructs (see Table 7). In those analyses, social anxiety has been found to correlate with perceived inferiority, submissive behavior, shame, and diminished dominance motivation, even after controlling for depression (Aderka et al., 2009; Alden & Phillips, 1990; Gilbert, 2000a; Gilbert et al., 2005; Naragon-Gainey, Watson, & Markon, 2009). In contrast, depression was unrelated to these indices after controlling for social anxiety. Indeed, the only study to report that depression was associated with these DBS indices after controlling for anxiety failed to consider either subsyndromal symptoms of anxiety or specific symptoms of social anxiety (Uhmann, Beesdo-Baum, Becker, & Hoyer, 2010). Taken together, these findings suggest that the experience of submissiveness may be more centrally related to social anxiety than to depression. It is possible that comorbid depression may be secondary to social anxiety and its repercussions. It is also possible that other mechanisms influence whether depression develops in the context of submissiveness.

Table 7. Studies Examining the Unique Relations of Depression and Anxiety and the DBS.
Author & Year Sample Gender Age DBS Measure Anxiety and Depression Measures Results
Aderka et al. (2009) 102 community residents 29% male M =29.5 SBS, SCS LSAS-SR, BDI In an SEM model, lower social comparison (SCS) and submissive behavior (SBS) were uniquely related to social anxiety (LSAS-SR), but not depression (BDI).
Alden & Phillips (1990) 465 undergraduates 46% male College aged IIP SAD and BDI were used to form 4 groups: control, social anxiety, depression, social anxiety with comorbid depression Depression without anxiety was unrelated to submissiveness. Social anxiety, either alone or in combination with depression, was related to submissiveness.
Gilbert (2000a) 109 psychology students and 50 depressed inpatients Both Student M =25;
patient M =39
TOSCA, PFQ-2, OAS, SBS, SCS CESD, BDI, SIAS Depressed inpatients endorsed more shame-proneness (TOSCA, PFQ2, OAS), lower perceived social comparison (SCS), more submissive behavior (SBS), and less pride (TOSCA) than students. In conjoint analyses of depression and anxiety, shame (TOSCA, PFQ2, OAS) was correlated with social anxiety but not depression.
Gilbert et al. (2002) 193 undergraduates and 81 psychiatric inpatients (58% diagnosed with primary depression) 23% male undergraduates and 39% male patients) Student M =22.9;
Patient M =36.8 years
SBS, SCS, OAS MASQ Anxiety and depressive scales both correlated with submissive behavior (SBS), perceptions of lower social comparison (SCS), and shame (OAS) in both samples. In path analyses, shame was more correlated with anxious arousal than with anhedonic depression.
Gilbert et al. (2005) 71 psychiatric patients 51% male 16 – 69; M =40.9 SBS, SCS, SPD BDI, SIAS, SPS Submissive behavior (SBS) correlated with social phobia (SPS) after controlling for depression (BDI).
Naragon-Gainey et al. (2009) 350 undergraduates and 204 psychiatric outpatients Both Student M =19.2
Patient M =44.0
Ascendance, a measure of dominance motivation and behavior factor-analytically derived from multiple scales Composite measures of depression and anxiety based on BDI-II, IDAS, PSRS, SIAS, SPS In conjoint analyses of anxiety and depression, lower ascendance related to social anxiety but not to depression.
Uhman et al. (2010) 198 outpatients Both Adult IIP CIDI diagnoses of GAD, PTSD without GAD, other anxiety without GAD, and depression without GAD Depression and each anxiety diagnosis related to submissiveness.

Note. BDI =Beck Depression Inventory; BDI-II =Beck Depression Inventory–Second Edition (Beck, Steer, & Brown, 1996); CESD =Center for Epidemiological Studies Depression Scale; CIDI =Composite International Diagnostic Interview; GAD =generalized anxiety disorder; IDAS =Inventory of Depression and Anxiety Symptoms (Watson et al., 2007); IIP =Inventory of Interpersonal Problems; LSAS-SR =Liebowitz Social Anxiety Scale-Self-Report (Liebowitz, 1987); OAS =Other as Shamer Scale; PFQ-2 =Personal Feelings Questionnaire-Revised; PSRS =Phobic Stimuli Response Scales (Cutshall & Watson, 2004); PTSD=post-traumatic stress disorder; SAD =Social Avoidance and Distress Scale (Watson & Friend, 1969); SBS =Submissive Behavior Scale; SCS =Social Comparison Scale; SIAS =Social Interaction Anxiety Scale; SPD =Social Power Differential Scale (Birchwood, Meaden, Trower, Gilbert, & Plaistow, 2000); SPS =Social Phobia Scale; TOSCA =Test of Self-Conscious Affect.

*

Findings from this study are described in another table.

Theory has suggested that depression will unfold in the context of entrapment. One form of entrapment is the inability to escape from or accept involuntary subordination (Gilbert, 1992, 2000b; Price, 1972; Taylor, Gooding, Wood, & Tarrier, 2011). A recent review found substantial support for the association between entrapment and depression, but only mixed support for the association between entrapment and anxiety disorders (Taylor et al., 2011). These studies have relied on entrapment measures that assess broad feelings of hopelessness and defeat, which makes them equally relevant to a hopelessness theory of depression as to a DBS model of depression (Abramson, Metalsky, & Alloy, 1989; Gilbert, 2000b). Further research is thus needed to determine whether DBS-specific variables have the capacity to differentiate depression from anxiety.

Summary of the DBS Findings Regarding Anxiety

Anxiety is correlated with perceptions of subordination, submissive behavior, and motivation to avoid low social rank. There is evidence that people with anxiety disorders, and particularly those with social anxiety, show marked behavioral and biological reactivity to threats to their power. The links between anxiety and the DBS, manifesting as low self-perceptions of power and the desire to avoid inferiority, are observed even after controlling for depression. The DBS appears to be particularly relevant to social anxiety. Despite robust evidence for the negative relation between testosterone and anxiety in animal studies, the findings of human studies are more mixed.

Summary and Discussion

We have reviewed evidence that the DBS is related to a range of psychological and social outcomes, including emotions, sensitivity to threats and rewards, self-esteem, risk-taking behavior, and interpersonal sensitivity and functioning. Beyond this basic research, the role of the DBS has been documented across multiple psychological disorders, suggesting that the DBS may serve as a useful transdiagnostic framework for understanding personality, mood, and externalizing psychopathologies.

Externalizing disorders, mania, and narcissism have each been related to elevations in dominance motivation, and correspondingly, to higher rates of dominance behavior. The findings also appear fairly consistent across a range of measures, including self-report, observational, and biological indices. The role of the DBS in externalizing disorders has been supported in major epidemiological surveys (Krueger et al., 1996) and in longitudinal research. Narcissistic personality traits and mania also appear to be related to inflated self-perceptions of power, as indexed by self-report and observational methods. Complementing the self-report and behavioralresearch, biological measures of the DBS, such as early puberty and related surges of testosterone, predict the onset of externalizing symptoms.

In contrast to the aforementioned disorders, the DBS profile that emerges for the internalizing disorders of depression and anxiety involves motivation to avoid inferiority, engagement in submissive behavior, and low self-perceived power or subordination, as assessed by both self-report and observational ratings. Many of the social triggers of depression fit with a model of subordination. Although much of this work is cross-sectional, at least one team has found that submissiveness remained stably present as depressive symptoms remitted (Vittengl et al., 2003).

Biological studies indicate that clinically significant testosterone deficits precede depression. That is, genetic, pharmacological, and age-related testosterone deficits, when severe enough, appear to increase risk for depression in men and perhaps in women over the age of 70. Testosterone supplementation appears to relieve symptoms of depression that are secondary to testosterone depletion, and antidepressants appear to relieve symptoms of subordination in nondepressed individuals. Although few human studies of testosterone and anxiety are available, multiple experimental animal studies indicate that testosterone deficits can increase threat sensitivity and decrease reward sensitivity. Together, these findings suggest that testosterone, a principal hormonal correlate of the DBS, can predict the onset of depressive symptoms.

Future Directions

Although a large body of research linking the DBS and psychological disorders has accrued, many weaknesses remain in the extant literature. Some of these weaknesses vary by disorder, as most research teams are focused on one or two specific disorders. As a result, conceptual advances and methodological innovations developed in the study of one form of psychopathology have rarely been transferred to studies of other psychopathologies. In the depression field, researchers have been particularly sensitive to understanding the effects of clinically significant deficits in testosterone, have tested the effects of hormones separately by age and gender, and have contrasted effects on subsyndromal and clinically significant symptoms. By contrast, research on narcissism has largely ignored hormones, but has provided excellent examples of laboratory-based observational paradigms for elucidating the nature of dominance behavior. The research on externalizing disorders has provided examples of how social context can amplify the effects of testosterone levels, and has provided insight into the specific symptom profiles that are associated with the DBS. There is considerable need for studies that compare multiple psychopathologies using self-report, observational, and biological measures of the DBS, while attending to age, gender, and social context, as well as symptom profiles and severity. Ideally, such research would involve laboratory-based experimental studies. Some of the limitations of the current research apply across psychopathologies. These limitations include the need for DBS research using more refined biological measures, considering the ability to differentiate psychopathologies, and longitudinally examining dynamical DBS processes as symptoms fluctuate. We turn to these issues next.

Can the Dominance Behavioral System Differentiate Between Psychopathologies?

The study of the DBS fits with a growing attention to transdiagnostic risk factors – those that operate across diagnostic categories. The substantial overlap in the DBS profiles associated with anxiety and depression is congruent with their high rates of co-occurrence (Kendler, Gardner, Gatz, & Pedersen, 2007). The overlap in DBS findings across several externalizing disorders, narcissism, and mania is also consistent with the high comorbidity within externalizing disorders (Krueger et al., 2001) and with evidence that narcissistic traits are correlated with antisocial behavior (Costello & Dunaway, 2003), psychopathy (Cooke & Michie, 2001), conduct disorder (Barry, Frick, & Killian, 2003), and mania (Schiavone, Dorz, Conforti, Scarso, & Borgherini, 2004).

Internalizing and externalizing disorders are clearly characterized by opposing DBS profiles, but a key question is whether DBS profiles might differ within the internalizing or externalizing disorders. Conceptually, it has been suggested that depression rather than anxiety will result when the individual is unable to escape from involuntary subordination (Gilbert, 2000b). In other psychopathologies, emergent findings point toward other possible distinctions. For example, whereas the dominance behaviors associated with externalizing disorders and narcissism tend to comprise aggressive responses to dominance challenges, in one study so far, risk for mania was related to dominance behaviors that were evaluated positively by peers. These findings suggest that considering the warmth-hostility dimension of interpersonal style in conjunction with the DBS might differentiate between disorders. In general, future research would benefit from the development of greater theoretical specificity and from more careful cross-diagnostic comparisons.

Although greater specificity in defining and measuring the specific components of the DBS might help to differentiate symptom outcomes, an alternate model is that the DBS increases risk for broad shared factors that underlie many different syndromes, akin to the general increase in vulnerability associated with genetic or personality dispositions (Hettema, Neale, Myers, Prescott, & Kendler, 2006; Kendler et al., 2003). In other words, many of the DBS variables share similarities across externalizing psychopathologies and across internalizing psychopathologies. If these commonalities continue to emerge in transdiagnostic research, other psychological and social risk factors would have to be considered in conjunction with DBS components to predict divergent outcomes. For example, psychopathy involves elevations of dominance motivation but also deficits in empathy (Hare, 2003; Patrick et al., 2005). In another example, testosterone seems to be especially related to risk of externalizing symptoms in the context of peer deviance or poverty, and to symptoms of depression in the context of interpersonal stress. In these cases, social context appears to be guide the role of the DBS in symptom expression. These and other psychological and social risk factors may interact with DBS components to shape particular symptom profiles within the broad categories of externalizing and internalizing disorders.

The Need for More Refined Biological Research on the Dominance System and Psychopathology

Findings are mixed concerning whether testosterone correlates with psychopathologies among women. Clearly, more attention to the biological correlates of the DBS in women is needed. DHEA and its sulfated form, DHEA-S, act as precursors to testosterone and estradiol (Williams & Wilson, 1998). In several large-scale studies, lower DHEA-S has been observed in depressed older women (Barrett-Connor, von Mühlen, Laughlin, et al., 1999; Haren et al., 2007; Morsink et al., 2007; Schmidt, Murphy, Haq, Danaceau, & St Clair, 2002). In small double-blind studies, DHEA treatment produced significantly more reductions in Hamilton Depression Inventory scores in both genders than did placebo (Schmidt et al., 2005; Wolkowitz et al., 1999) and appeared particularly effective for dysthymic symptoms (Bloch, Scmidt, Danaceau, Adams, & Rubinow, 1999). Drawing on this early evidence, Canadian guidelines for depression treatment recommend DHEA as a potential treatment option when other options have failed (Ravindran et al., 2009). DHEA may also be relevant for understanding mania, in that a series of case reports suggest that manic episodes can be triggered by DHEA (Dean, 2000; Kline & Jaggers, 1999; Markowitz, Carson, & Jackson, 1999; Vacheron-Trystram, Cheref, Gauillard, & Plas, 2002). The lack of correlation between DHEA and externalizing disorders in most available studies (Constantino, Grosz, et al., 1993; Dorn et al., 2009; Nottelmann et al., 1987 although see Dmitrieva, Oades, Hauffa, & Eggers, 2001) suggests that a more specific model of how biological components of the DBS relate to different psychopathologies can be developed. To this end, a more comprehensive and fine-grained understanding of the key biological substrates involved in the DBS is needed.

As described previously, testosterone interacts with a range of other hormones and neurotransmitters that are implicated in various psychological disorders, including cortisol, serotonin, dopamine, and oxytocin. In addition to influencing the chemical milieu of testosterone, each of these substances may also have the capacity to shape its behavioral expression. Several examples suggest the importance of better attention to these other biological variables. One study found higher testosterone was only related to psychopathy when controlling for cortisol levels (Glenn, Raine, Schug, Gao, & Granger, 2011). Serotonin is strongly implicated in impulsivity and aggression (Carver et al., 2008; Higley, Mehlman, Poland, & Taub, 1996) and thus may help to shape whether dominance motivation and behaviors are applied in socially acceptable or aggressive ways. Oxytocin may also influence whether prosocial versus antisocial expressions of dominance are engendered (MacDonald & MacDonald, 2010). Dopamine guides motivation to pursue resources (Depue & Morrone-Strupinsky, 2005) and so will likely modulate the responsivity of the DBS to cues of power and to the receipt of power. Animal research suggests that social defeat triggers a range of neurobiological changes that are relevant to understanding psychopathology, including changes in neuropeptide Y, CCK-8, and substance P (Panksepp, Burgdorf, Beinfeld, Kroes, & Moskal, 2007). Most of the dominance research to date has failed to consider the complex interactions among these important biochemical compounds in the development of psychopathology.

The Need for Longitudinal Research on Dynamical Processes

The DBS is an adaptive system that adjusts to changing social contingencies and resources, and accordingly, testosterone, DHEA, and cortisol levels fluctuate in response to dominance-relevant situations. For example, testosterone levels among men increase after winning a chess game or a tennis match (Archer, 2006a; Mazur, Booth, & Dabbs, 1992). With the exception of one study demonstrating that anxiety may predict steeper drops in testosterone after losing a competition (Maner et al., 2008), very little research has considered how these dynamic processes may relate to psychopathology.

Few clinical researchers have considered the ways in which dominance motivation or elevated self-perceptions of power might develop (see Andrews, 1995; Gilbert et al., 2003 for exceptions). It has been theorized that insecure attachment causes individuals to become overly concerned with social comparison, and empirical research supports links between insecure attachment and self-perceptions of powerlessness and submissive behavior (Gilbert, McEwan, et al., 2007; Sloman et al., 2003). Research also suggests that individuals with a history of sexual abuse (Brotman et al., 2007) and the offspring of parents with substance use disorders (Elkins, McGue, Malone, & Iacono, 2004) demonstrate elevated dominance motivation. The depression literature has shown that early childhood experiences may be as critical to the development of the disorder as current experiences of subordination (Gilbert et al., 2003). It appears that some people respond to childhood experiences of subordination with context-insensitive subordination behaviors. Thus theory underscores the need to consider how dominance motivation and self-perceived power shift in response to different contexts across various psychopathologies.

The dynamic course of symptoms is another important area of consideration: little attention has been paid to the influence of repeated experiences of disorder symptoms on the DBS over time. For example, people seeking treatment for substance abuse report high levels of shame (O'Connor, Berry, Weiss, & Gilbert, 2002). How do repeated experiences of losing power and other consequences of mental illness stigma influence beliefs about rank and the importance of achieving rank? This is a particularly important question in regard to narcissism and mania given that much of the research on dominance has assessed at-risk populations rather than clinically diagnosed samples. It is conceivable that manic symptoms and their negative consequences may diminish self-perceptions of power over time. Given the dynamic nature of the DBS and its responsiveness to context, more longitudinal and developmental research are needed for a better understanding of how failures of the DBS to flexibly adapt to varying social environments might serve as predictors of psychiatric symptoms.

Clinical Applications

We have highlighted aspects of the DBS that appear to be associated with the etiology and course of several psychological disorders. In addition to its potential utility in understanding a client's presenting problems, there are several ways in which a clinician's awareness of a client's dominance profile could guide therapeutic work. To begin, dominance motivation has the capacity to influence the therapeutic relationship. For persons with high dominance motivation, directive interventions may trigger anger and reactance, Indeed, researchers have shown that domineering behavior in clients predicts poorer psychotherapeutic outcomes, particularly in the context of structured psychotherapies (Borkovec, Newman, Pincus, & Lytle, 2002; Ruiz et al., 2004). By contrast, for persons with chronic experiences of subordination, submissiveness may be an overly rehearsed response to directives, and it would seem wise to avoid replicating this pattern in therapy.

Exaggerated or context-inappropriate expressions of various DBS components could also comprise a direct target of psychotherapy. Although unchecked dominance motivation can lead to aggression or feelings of failure if the level of actual power attained falls short of the desired level, when expressed in effective and prosocial ways, dominance motivation can predict strong leadership and other positive social outcomes. Adaptive implementation of the strong desire for action and resources that characterizes dominance motivation depends on strong social skills and self-regulatory abilities, which can be fostered in therapy. Accordingly, heightened dominance motivation could be channeled in a positive way that supports interpersonal connectedness. Another approach would be to consider whether an individual's dominance motivation is balanced with other needs, such as connectedness with others (Sloman et al., 2003).

For individuals who struggle with experiences of subordination, therapeutic rapport might be better established by understanding that this strategy probably evolved to protect against conflict and maintain peace within complex hierarchies. Nonetheless, empirical evidence suggests that even small moments of victory and dominance can relieve anxiety, and so intervention techniques that allow a person to escape from chronic and persistence subordination by promoting experiences of mastery are likely to be valuable (Williams & Zane, 1989). As mentioned previously, antidepressants have also been shown to reduce submissiveness in healthy persons and this could be a target for future research. Finally, compassionate mind training is a form of psychotherapy that aims to relieve experiences of shame and internalized cognitions related to subordination (Gilbert & Procter, 2006). In pilot studies, people who took part in this intervention reported diminished levels of shame and submissiveness, which were related to decreases in anxiety and depressive symptoms.

Conclusion

Our goal was to integrate a broad set of findings relating the DBS to psychopathology, which have emerged from divergent lines of inquiry, including human and animal literatures; naturalistic and experimental studies; and using self-report, observational, and biological techniques. The substantial converging evidence obtained from this wide array of paradigms underscores the important role of the DBS in psychopathology. We believe that the DBS model has the potential to enhance understanding of the etiology and course of many psychopathologies, and to refine clinical interventions. We hope this review will foster greater consideration of the need to understand the DBS more broadly and the potential value of this system in elucidating susceptibility to different psychopathologies.

Acknowledgments

The authors thank Elizabeth Loi, Jessica Jayne Yu, Jonathan Tsang, Pardis Khosrawi, and Zahra Murtaza for their assistance with compiling articles and references.

Footnotes

Publisher's Disclaimer: The following manuscript is the final accepted manuscript. It has not been subjected to the final copyediting, fact-checking, and proofreading required for formal publication. It is not the definitive, publisher-authenticated version. The American Psychological Association and its Council of Editors disclaim any responsibility or liabilities for errors or omissions of this manuscript version, any version derived from this manuscript by NIH, or other third parties. The published version is available at www.apa.org/pubs/journals/bul

References

  1. Abramson LY, Metalsky GI, Alloy LB. Hopelessness depression: A theory-based subtype of depression. Psychological Review. 1989;96:358–372. 10.1037/0033-295X.96.2.358. [Google Scholar]
  2. Achenbach TL. Manual for the Child Behavior Checklist. Burlington: University of Vermont; 1991a. [Google Scholar]
  3. Achenbach TM. Manual for Teacher's Report Form and 1991 Profile. Burlington, VT: University of Vermont Department of Psychiatry; 1991b. [Google Scholar]
  4. Achenbach TM. Manual for the Youth Self-Report: The moderating role of parent–report and 1991 profile. Burlington, VT: Department of Psychiatry University of Vermont; 1991c. [Google Scholar]
  5. Aderka IM, Weisman O, Shahar G, Gilboa-Schechtman E. The roles of the social rank and attachment systems in social anxiety. Personality and Individual Differences. 2009;47(4):284–288. 10.1016/j.paid.2009.03.014. [Google Scholar]
  6. Akiskal HS, Mendlowicz MV, Jean-Louis G, Rapaport MH, Kelsoe JR, Gillin JC, Smith TL. TEMPS-A: Validation of a short version of a self-rated instrument designed to measure variations in temperament. Journal of Affective Disorders. 2005;85(1-2):45–52. doi: 10.1016/j.jad.2003.10.012. 10.1016/j.jad.2003.10.012. [DOI] [PubMed] [Google Scholar]
  7. Alden LE, Phillips N. An interpersonal analysis of social anxiety and depression. Cognitive Therapy and Research. 1990;14(5):499–512. 10.1007/BF01172970. [Google Scholar]
  8. Allan S, Gilbert P. A social comparison scale: Psychometric properties and relationship to psychopathology. Personality and Individual Differences. 1995;19(3):293–299. 10.1016/0191-8869(95)00086-L. [Google Scholar]
  9. Allan S, Gilbert P. Submissive behaviour and psychopathology. British Journal of Clinical Psychology. 1997;36(4):467–488. doi: 10.1111/j.2044-8260.1997.tb01255.x. [DOI] [PubMed] [Google Scholar]
  10. Allan S, Gilbert P, Goss K. An exploration of shame measures: II. Psychopathology. Personality and Individual Differences. 1994;17(5):719–722. 10.1016/0191-8869(94)90150-3. [Google Scholar]
  11. Allen NB, Badcock PB. The social risk hypothesis of depressed mood: Evolutionary, psychosocial, and neurobiological perspectives. Psychological Bulletin. 2003;129(6):887–913. doi: 10.1037/0033-2909.129.6.887. 10.1037/0033-2909.129.6.887. [DOI] [PubMed] [Google Scholar]
  12. Alloy LB, Abramson LY, Nusslock R, Urosevic S, Jager HS, Whitehouse WG, Hogan M. Progression along the bipolar spectrum: Longitudinal study of predictors of conversion from bipolar spectrum conditions to bipolar I and II disorders. Journal of Abnormal Psychology. doi: 10.1037/a0023973. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Altman EG, Hedeker D, Peterson JL, Davis JM. The Altman Self-Rating Mania Scale. Biological Psychiatry. 1997;42(10):948–955. doi: 10.1016/S0006-3223(96)00548-3. 10.1016/S0006-3223(96)00548-3. [DOI] [PubMed] [Google Scholar]
  14. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed., text rev ed. Washington, DC: Author; 2000a. [Google Scholar]
  15. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM) IV-TR. 4th (Text Revision) Washington, DC: Author; 2000b. [Google Scholar]
  16. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) 2011 Retrieved July, 2011, from http://www.dsm5.org.
  17. Anderson C, Berdahl JL. The experience of power: Examining the effects of power on approach and inhibition tendencies. Journal of Personality and Social Psychology. 2002;83(6):1362–1377. 10.1037/0022-3514.83.6.1362. [PubMed] [Google Scholar]
  18. Anderson C, Galinsky AD. Power, optimism, and risk-taking. European Journal of Social Psychology. 2006;36(4):511–536. 10.1002/ejsp.324. [Google Scholar]
  19. Anderson C, John OP, Keltner D. The personal sense of power. 2010. Unpublished manuscript. [DOI] [PubMed] [Google Scholar]
  20. Anderson C, Kilduff GJ. Why do dominant personalities attain influence in face-to-face groups? The competence-signaling effects of trait dominance. Journal of Personality and Social Psychology. 2009;96(2):491–503. doi: 10.1037/a0014201. 10.1037/a0014201. [DOI] [PubMed] [Google Scholar]
  21. Anderson C, Srivastava S, Beer JS, Spataro SE, Chatman JA. Knowing your place: Self-perceptions of status in face-to-face groups. Journal of Personality and Social Psychology. 2006;91(6):1094–1110. doi: 10.1037/0022-3514.91.6.1094. 10.1037/0022-3514.91.6.1094. [DOI] [PubMed] [Google Scholar]
  22. Andrews B. Bodily shame as a mediator between abusive experiences and depression. Journal of Abnormal Psychology. 1995;104(2):277–285. doi: 10.1037//0021-843x.104.2.277. 10.1037/0021-843X.104.2.277. [DOI] [PubMed] [Google Scholar]
  23. Andrews B, Qian M, Valentine JD. Predicting depressive symptoms with a new measure of shame: The Experience of Shame Scale. British Journal of Clinical Psychology. 2002;41(1):29–42. doi: 10.1348/014466502163778. 10.1348/014466502163778. [DOI] [PubMed] [Google Scholar]
  24. Angold A, Costello EJ. The Child and Adolescent Psychiatric Assessment (CAPA) Journal of the American Academy of Child and Adolescent Psychiatry. 2000;39(1):39–48. doi: 10.1097/00004583-200001000-00015. 10.1097/00004583-200001000-00015. [DOI] [PubMed] [Google Scholar]
  25. Antony MM, Rowa K, Liss A, Swallow SR, Swinson RP. Social comparison processes in social phobia. Behavior Therapy. 2005;36(1):65–75. 10.1016/S0005-7894(05)80055-3. [Google Scholar]
  26. Archer J. Testosterone and human aggression: An evaluation of the challenge hypothesis. Neuroscience and Biobehavioral Reviews. 2006a;30(3):319–345. doi: 10.1016/j.neubiorev.2004.12.007. 10.1016/j.neubiorev.2004.12.007. [DOI] [PubMed] [Google Scholar]
  27. Archer J. Testosterone and human aggression: An evaluation of the challenge hypothesis. Neuroscience and Biobehavioral Reviews. 2006b;30(3):319–345. doi: 10.1016/j.neubiorev.2004.12.007. 10.1016/j.neubiorev.2004.12.007. [DOI] [PubMed] [Google Scholar]
  28. Archer J, Webb IA. The relation between scores on the Buss–Perry Aggression Questionnaire and aggressive acts, impulsiveness, competitiveness, dominance, and sexual jealousy. Aggressive Behavior. 2006;32(5):464–473. 10.1002/ab.20146. [Google Scholar]
  29. Aromaki AS, Lindman RE, Eriksson CJP. Testosterone, aggressiveness, and antisocial personality. Aggressive Behavior. 1999;25(2):113–123. 10.1002/(SICI)1098-2337(1999)25:2. [Google Scholar]
  30. Barkow JH. Darwin, sex, and status. Toronto: Toronto University Press; 1989. [Google Scholar]
  31. Barrett-Connor E, von Mühlen D, Laughlin GA, Kripke A. Endogenous levels of dehydroepiandrosterone sulfate, but not other sex hormones, are associated with depressed mood in older women: The Rancho Bernardo Study. Journal of the American Geriatrics Society. 1999;47(6):685–691. doi: 10.1111/j.1532-5415.1999.tb01590.x. 10.1016/j.archger.2004.03.008. [DOI] [PubMed] [Google Scholar]
  32. Barrett-Connor E, Von Mühlen DG, Kritz-Silverstein D. Bioavailable testosterone and depressed mood in older men: The Rancho Bernardo Study. The Journal of Clinical Endocrinology and Metabolism. 1999;84(2):573–577. doi: 10.1210/jcem.84.2.5495. 10.1210/jc.84.2.573. [DOI] [PubMed] [Google Scholar]
  33. Barry CT, Frick PJ, Killian AL. The relation of narcissism and self-esteem to conduct problems in children: A preliminary investigation. Journal of Clinical Child and Adolescent Psychology. 2003;32(1):139–152. doi: 10.1207/S15374424JCCP3201_13. 10.1207/S15374424JCCP3201_13. [DOI] [PubMed] [Google Scholar]
  34. Bassil N, Alkaade S, Morley JE. The benefits and risks of testosterone replacement therapy: A review. Therapeutics and Clinical Risk Management. 2009;5(3):427–448. doi: 10.2147/tcrm.s3025. 10.2147/TCRM.S3025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Bauer MS, Crits-Christoph P, Ball WA, Dewees E, McAllister T, Alahi P, et al. Whybrow PC. Independent assessment of manic and depressive symptoms by self-rating. Scale characteristics and implications for the study of mania. Archives of General Psychiatry. 1991;48:807–812. doi: 10.1001/archpsyc.1991.01810330031005. [DOI] [PubMed] [Google Scholar]
  36. Baumeister RF, Bushman BJ, Campbell WK. Self-esteem, narcissism, and aggression: Does violence result from low self-esteem or from threatened egotism. Current Directions in Psychological Science. 2000;9(1):26–29. 10.1111/1467-8721.00053. [Google Scholar]
  37. Beck AT, Steer RA. Beck Depression Inventory manual. San Antonio: The Psychological Corporation; 1993. [Google Scholar]
  38. Beck AT, Steer RA, Brown GK. Manual for the Beck Depression Inventory. 2nd. San Antonio, TX: The Psychological Corporation; 1996. [Google Scholar]
  39. Becker C, Zeau B, Rivat C, Blugeot A, Hamon M, Benoliel JJ. Repeated social defeat-induced depression-like behavioral and biological alterations in rats: Involvement of cholecystokinin. Molecular Psychiatry. 2008;13(12):1079–1092. doi: 10.1038/sj.mp.4002097. 10.1038/sj.mp.4002097. [DOI] [PubMed] [Google Scholar]
  40. Benning SD, Patrick CJ, Blonigen DM, Hicks BM, Iacono WG. Estimating facets of psychopathy from normal personality traits: A step toward community epidemiological investigations. Assessment. 2005;12(1):3–18. doi: 10.1177/1073191104271223. 10.1177/1073191104271223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Berdhal JL, Martorana P. Effects of power on emotion and expression during a controversial group discussion. European Journal of Social Psychology. 2006;36(4):497–509. 10.1002/ejsp.354. [Google Scholar]
  42. Berman M, Gladue B, Taylor S. The effects of hormones, type A behavior pattern, and provocation on aggression in men. Motivation and Emotion. 1993;17(2):125–138. 10.1007/BF00995189. [Google Scholar]
  43. Bernstein IS, editor. Dominance: A theoretical perspective for ethologists. New York: Garland Press; 1980. [Google Scholar]
  44. Bing O, Heilig M, Kakoulidis P, Sundblad C, Wiklund L, Eriksson E. High doses of testosterone increase anticonflict behaviour in rat. European Neuropsychopharmacology. 1998;8(4):321–323. doi: 10.1016/s0924-977x(97)00095-3. 10.1016/S0924-977X(97)00095-3. [DOI] [PubMed] [Google Scholar]
  45. Birchwood M, Meaden A, Trower P, Gilbert P, Plaistow J. The power and omnipotence of voices: Subordination and entrapment by voices and significant others. Psychological Medicine. 2000;30(2):337–344. doi: 10.1017/s0033291799001828. 10.1017/S003329179900182. [DOI] [PubMed] [Google Scholar]
  46. Bitran D, Kellogg CK, Hilvers RJ. Treatment with an anabolic-androgenic steroid affects anxiety-related behavior and alters the sensitivity of cortical GABAA receptors in the rat. Hormones and Behavior. 1993;27(4):568–583. doi: 10.1006/hbeh.1993.1041. 10.1006/hbeh.1993.1041. [DOI] [PubMed] [Google Scholar]
  47. Bloch M, Scmidt PJ, Danaceau MA, Adams LF, Rubinow DR. Dehyroepiandrosterone treatment of midlife dysthymia. Biological Psychiatry. 1999;45(12):1533–1541. doi: 10.1016/s0006-3223(99)00066-9. 10.1016/S0006-3223(99)00066-9. [DOI] [PubMed] [Google Scholar]
  48. Block J. The Q-sort method in personality assessment and psychiatric research. Palo Alto, CA, England: Consulting Psychologists Press; 1978. [Google Scholar]
  49. Blonigen DM, Hicks BM, Krueger RF, Patrick CJ, Iacono WG. Continuity and change in psychopathic traits as measured via normal-range personality: A longitudinal-biometric study. Journal of Abnormal Psychology. 2006;115(1):85–95. doi: 10.1037/0021-843X.115.1.85. 10.1037/0021-843X.115.1.85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Boissy A, Bouissou MF. Effects of androgen treatment on behavioral and physiological responses of heifers to fear-eliciting situations. Hormones and Behavior. 1994;28(1):66–83. doi: 10.1006/hbeh.1994.1006. 10.1006/hbeh.1994.1006. [DOI] [PubMed] [Google Scholar]
  51. Booth A, Johnson DR, Granger DA. Testosterone and men's depression: The role of social behavior. Journal of Health and Social Behavior. 1999;40(2):130–140. 10.2307/2676369. [PubMed] [Google Scholar]
  52. Booth A, Johnson DR, Granger DA, Crouter AC, McHale S. Testosterone and child and adolescent adjustment: The moderating role of parent-child relationships. Developmental Psychology. 2003;39(1):85–98. doi: 10.1037//0012-1649.39.1.85. 10.1037/0012-1649.39.1.85. [DOI] [PubMed] [Google Scholar]
  53. Booth A, Mazur AC, Dabbs JM., Jr Endogenous testosterone and competition: The effect of “fasting”. Steroids. 1993;58(8):348–350. doi: 10.1016/0039-128x(93)90036-m. [DOI] [PubMed] [Google Scholar]
  54. Booth A, Osgood D. The influence of testosterone on deviance in adulthood. Criminology. 1993;31:93–97. 10.1111/j.1745-9125.1993.tb01123.x. [Google Scholar]
  55. Borkovec TD, Newman MG, Pincus AL, Lytle R. A component analysis of cognitive-behavioral therapy for generalized anxiety disorder and the role of interpersonal problems. Journal of Consulting and Clinical Psychology. 2002;70(2):288–298. 10.1037/0022-006X.70.2.288. [PubMed] [Google Scholar]
  56. Boyce WT. Social stratification, health, and violence in the very young. Annals of the New York Academy of Sciences. 2004;1036:47–68. doi: 10.1196/annals.1330.003. 10.1196/annals.1330.003. [DOI] [PubMed] [Google Scholar]
  57. Bradlee PM, Emmons RA. Locating narcissism within the interpersonal circumplex and the five-factor model. Personality and Individual Differences. 1992;13(7):821–830. 10.1016/0191-8869(92)90056-U. [Google Scholar]
  58. Brotman LM, Gouley KK, Huang KY, Kamboukos D, Fratto C, Pine DS. Effects of a psychosocial family-based preventive intervention on cortisol response to a social challenge in preschoolers at high risk for antisocial behavior. Archives of General Psychiatry. 2007;64(10):1172–1179. doi: 10.1001/archpsyc.64.10.1172. 10.1001/archpsyc.64.10.1172. [DOI] [PubMed] [Google Scholar]
  59. Brown GL, McGarvey EL, Shirtcliff EA, Keller A, Granger DA, Flavin K. Salivary cortisol, dehydroepiandrosterone, and testosterone interrelationships in healthy young males: A pilot study with implications for studies of aggressive behavior. Psychiatry Research. 2008;159(1-2):67–76. doi: 10.1016/j.psychres.2007.06.012. 10.1016/j.psychres.2007.06.012. [DOI] [PubMed] [Google Scholar]
  60. Brown GW, Harris TO. Depression. In: Harris TO, Brown GW, editors. Life events and illness. New York: Guilford; 1989. pp. 49–93. [Google Scholar]
  61. Bugental DB. Acquisition of the algorithms of social life: A domain based approach. Psychological Bulletin. 2000;126(2):187–219. doi: 10.1037/0033-2909.126.2.187. 10.1037/0033-2909.126.2.187. [DOI] [PubMed] [Google Scholar]
  62. Burt SA, Krueger RF, McGue M, Iacono W. Parent-child conflict and the comorbidity among childhood externalizing disorders. Archives of General Psychiatry. 2003;60(5):505–513. doi: 10.1001/archpsyc.60.5.505. 10.1001/archpsyc.60.5.505. [DOI] [PubMed] [Google Scholar]
  63. Bushman BJ, Baumeister RF. Threatened egotism, narcissism, self-esteem, and direct and displaced aggression: Does self-love or self-hate lead to violence? Journal of Personality and Social Psychology. 1998;75(1):219–229. doi: 10.1037//0022-3514.75.1.219. 10.1037/0022-3514.75.1.219. [DOI] [PubMed] [Google Scholar]
  64. Buss DM. Sex differences in the evaluation and performance of dominant acts. Journal of Personality and Social Psychology. 1981;40(1):147–154. 10.1037/0022-3514.40.1.147. [Google Scholar]
  65. Buttermore N, James J, Kirkpatrick L. Prestige and dominance: Toward a self-report measure of two distinct pathways to status. Paper presented at the Poster presented at the Evolutionary Psychology Preconference, Society of Personality and Social Psychology; Austin, TX. 2005. [Google Scholar]
  66. Cain NM, Pincus AL, Grosse Holtforth M. Interpersonal subtypes in social phobia: Diagnostic and treatment implications. Journal of Personality Assessment. 2010;92(6):514–527. doi: 10.1080/00223891.2010.513704. 10.1080/00223891.2010.513704. [DOI] [PubMed] [Google Scholar]
  67. Cale EM, Lilienfeld SO. Psychopathy factors and risk for aggressive behavior: A test of the “threatened egotism” hypothesis. Law and Human Behavior. 2006;30(1):51–74. doi: 10.1007/s10979-006-9004-5. 10.1007/s10979-006-9004-5. [DOI] [PubMed] [Google Scholar]
  68. Carey KB, Henson JM, Carey MP, Maisto SA. Which heavy drinking college students benefit from a brief motivational intervention? Journal of Consulting and Clinical Psychology. 2007;75(4):663–669. doi: 10.1037/0022-006X.75.4.663. 10.1037/0022-006X.75.4.663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Carré JM, McCormick CM. Aggressive behavior and change in salivary testosterone concentrations predict willingness to engage in a competitive task. Hormones and Behavior. 2008;54(3):403–409. doi: 10.1016/j.yhbeh.2008.04.008. 10.1016/j.yhbeh.2008.04.008. [DOI] [PubMed] [Google Scholar]
  70. Carroll BJ. The Carroll Rating Scale for Depression: I. Development, reliability, and validation. British Journal of Psychiatry. 1981;138:194–200. doi: 10.1192/bjp.138.3.194. [DOI] [PubMed] [Google Scholar]
  71. Carver CS, Johnson SL. Tendencies toward mania and tendencies toward depression have distinct motivational, affective, and cognitive correlates. Cognitive Therapy and Research. 2009;33(6):552–569. doi: 10.1007/s10608-008-9213-y. 10.1007/s10608-008-9213-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Carver CS, Johnson SL, Joormann J. Serotonergic function, two-mode models of self-regulation, and vulnerability to depression: What depression has in common with impulsive aggression. Psychological Bulletin. 2008;134:912–943. doi: 10.1037/a0013740. 10.1037/a0013740. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Cashdan E. Hormones, sex, and status in women. Hormones and Behavior. 1995;29(3):354–366. doi: 10.1006/hbeh.1995.1025. 10.1006/hbeh.1995.1025. [DOI] [PubMed] [Google Scholar]
  74. Cattell RB, Eber HW, Tatsouka MM. The handbook for the Sixteen Personality Factor Questionnaire. Champaign, IL: Institute for Personality and Ability Testing; 1970. [Google Scholar]
  75. Chen S, Lee-Chai AY, Bargh JA. Relationship orientation as a moderator of the effects of social power. Journal of Personality and Social Psychology. 2001;80(2):173–187. doi: 10.1037/0022-3514.80.2.173. 10.1037/0022-3514.80.2.173. [DOI] [PubMed] [Google Scholar]
  76. Clark AS, Henderson LP. Behavioral and physiological responses to anabolic-androgenic steroids. Neuroscience and Biobehavioral Reviews. 2003;27(5):413–436. doi: 10.1016/s0149-7634(03)00064-2. 10.1016/s0149-7634(03)00064-2. [DOI] [PubMed] [Google Scholar]
  77. Colangelo LA, Sharp L, Kopp P, Scholtens D, Chiu BC, Liu K, Gapstur SM. Total testosterone, androgen receptor polymorphism, and depressive symptoms in young black and white men: The CARDIA Male Hormone Study. Psychoneuroendocrinology. 2007;32(8-10):951–958. doi: 10.1016/j.psyneuen.2007.06.014. 10.1016/j.psyneuen.2007.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Constantino EA, Roose SP, Woodring S. Tricyclic-induced orthostatic hypotension. Significant difference in depressed and non-depressed states. Pharmacopsychiatry. 1993;26(4):125–127. doi: 10.1055/s-2007-1021802. 10.1055/s-2007-1021802. [DOI] [PubMed] [Google Scholar]
  79. Constantino JN, Grosz D, Saenger P, Chandler DW, Nandi R, Earls FJ. Testosterone and aggression in children. Journal of the American Academy of Child and Adolescent Psychiatry. 1993;32(6):1217–1222. doi: 10.1097/00004583-199311000-00015. 10.1097/00004583-199311000-00015. [DOI] [PubMed] [Google Scholar]
  80. Cooke DJ, Michie C. Refining the construct of psychopathy: Towards a hierarchical model. Psychological Assessment. 2001;13:171–188. 10.1037111040-3590.13.2.171. [PubMed] [Google Scholar]
  81. Cooper JE. Further studies on interviewer training and inter-rater reliability of the Present State Examination (PSE) Psychological Medicine. 1977;7(3):517–523. doi: 10.1017/s0033291700004499. [DOI] [PubMed] [Google Scholar]
  82. Costello BJ, Dunaway RG. Egotism and delinquent behavior. Journal of Interpersonal Violence. 2003;18(5):572–590. 10.1177/0886260503251128. [Google Scholar]
  83. Cutshall C, Watson D. The phobic stimuli response scales: A new self-report measure of fear. Behaviour Research and Therapy. 2004;42(10):1193–1201. doi: 10.1016/j.brat.2003.08.003. 10.1016/j.brat.2003.08.003. [DOI] [PubMed] [Google Scholar]
  84. Dabbs JM, Bernieri FJ, Strong RK, Campo R, Milun R. Going on stage: Testosterone in greetings and meetings. Journal of Research in Personality. 2001;35(1):27–40. 10.1006/jrpe.2001.2305. [Google Scholar]
  85. Dabbs JM, Carr TS, Frady RL, Riad JK. Testosterone, crime, and misbehavior among 692 male prison inmates. Personality and Individual Differences. 1995;19(5):627–633. 10.1016/0191-8869(94)00177-T. [Google Scholar]
  86. Dabbs JM, Hopper CH, Jurkovic GJ. Testosterone and personality among college students and military veterans. Personality and Individual Differences. 1990;11(12):1263–1269. 10.1016/0191-8869(90)90153-I. [Google Scholar]
  87. Dabbs JM, Morris R. Testosterone, social class, and antisocial behavior in a sample of 4,462 men. Psychological Science. 1990;1(3):209–211. 10.1111/j.1467-9280.1990.tb00200.x. [Google Scholar]
  88. Daitzman R, Zuckerman M. Disinhibitory sensation seeking, personality, and gonadal hormones. Personality and Individual Differences. 1980;1(2):103–110. 10.1016/0191-8869(80)90027-6. [Google Scholar]
  89. Daly RC, Su TP, Schmidt PJ, Pagliaro M, Pickar D, Rubinow DR. Neuroendocrine and behavioral effects of high-dose anabolic steroid administration in male normal volunteers. Psychoneuroendocrinology. 2003;28(3):317–331. doi: 10.1016/s0306-4530(02)00025-2. 10.1016/S0306-4530(02)00025-2. [DOI] [PubMed] [Google Scholar]
  90. Danziger L, Schroeder HT, Unger AA. Androgen therapy for involutional melancholia. Archives of Neurological Psychiatry. 1944;51:457–461. [Google Scholar]
  91. Dawes MA, Dorn LD, Moss HB, Yao JK, Kirisci L, Ammerman RT, Tarter RE. Hormonal and behavioral homeostasis in boys at risk for substance abuse. Drug and Alcohol Dependence. 1999;55(1-2):165–176. doi: 10.1016/s0376-8716(99)00003-4. 10.1016/S0376-8716(99)00003-4. [DOI] [PubMed] [Google Scholar]
  92. de Waal FB, Aureli F, Judge PG. Coping with crowding. Scientific American. 2000;282(5):76–81. doi: 10.1038/scientificamerican0500-76. 10.1038/scientificamerican0500-76. [DOI] [PubMed] [Google Scholar]
  93. Dean CE. Prasterone (DHEA) and mania. The Annals of Pharmacotherapy. 2000;34(12):1419–1422. doi: 10.1345/aph.10115. 10.1345/aph.10115. [DOI] [PubMed] [Google Scholar]
  94. Deaner RO, Khera AV, Platt ML. Monkeys pay per view: Adaptive valuation of social images by rhesus macaques. Current Biology. 2005;15(6):543–548. doi: 10.1016/j.cub.2005.01.044. 10.1016/j.cub.2005.01.044. [DOI] [PubMed] [Google Scholar]
  95. Delhez M, Hansenne M, Legros JJ. Andropause and psychopathology: Minor symptoms rather than pathological ones. Psychoneuroendocrinology. 2003;28(7):863–874. doi: 10.1016/s0306-4530(02)00102-6. 10.1016/s0306-4530(02)00102-6. [DOI] [PubMed] [Google Scholar]
  96. Depue RA, Collins PF. Neurobiology of the structure of personality: Dopamine, facilitation of incentive motivation, and extraversion. Behavioral and Brain Sciences. 1999;22:491–569. doi: 10.1017/s0140525x99002046. 10.1037/0033-295X.110.2.265. [DOI] [PubMed] [Google Scholar]
  97. Depue RA, Morrone-Strupinsky JV. A neurobehavioral model of affiliative bonding: Implications for conceptualizing a human trait of affiliation. Behavioral and Brain Sciences. 2005;28(3):313–395. doi: 10.1017/S0140525X05000063. 10.1017/S0140525X05000063. [DOI] [PubMed] [Google Scholar]
  98. Derogatis LR, Lazarus L. SCL-90-R, Brief Symptom Inventory and matching clinical rating scales. In: Maruish ME, editor. The use of psychological testing for treatment planning and outcome assessment. Hillsdale, NJ, England: Lawrence Erlbaum Associates, Inc.; 1994. pp. 217–248. [Google Scholar]
  99. Derogatis LR, Lipman RS, Rickels K, et al. The Hopkins Symptom Checklist (HCSL): A self-report symptom inventory. Behavioural Science. 1974;19:1–15. doi: 10.1002/bs.3830190102. [DOI] [PubMed] [Google Scholar]
  100. Dickerson SS, Kemeny ME. Acute stressors and cortisol responses: A theoretical integration and synthesis of laboratory research. Psychological Bulletin. 2004;130(3):355–391. doi: 10.1037/0033-2909.130.3.355. 10.1037/0033-2909.130.3.355. [DOI] [PubMed] [Google Scholar]
  101. DiNardo PA, Barlow DH. Anxiety Disorders Interview Schedule Revised (ADIS-R) Albany, Y: Center for Stress and Anxiety Disorders; 1988. [DOI] [PubMed] [Google Scholar]
  102. Dmitrieva TN, Oades RD, Hauffa BP, Eggers C. Dehydroepiandrosterone sulphate and corticotropin levels are high in young male patients with conduct disorder: Comparisons for growth factors, thyroid and gonadal hormones. Neuropsychobiology. 2001;43(3):134–140. doi: 10.1159/000054881. 10.1159/000054881. [DOI] [PubMed] [Google Scholar]
  103. Dorn LD, Kolko DJ, Susman EJ, Huang B, Stein H, Music E, Bukstein OG. Salivary gonadal and adrenal hormone differences in boys and girls with and without disruptive behavior disorders: Contextual variants. Biological Psychology. 2009;81(1):31–39. doi: 10.1016/j.biopsycho.2009.01.004. 10.1016/j.biopsycho.2009.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Downey G, Feldman SI. Implications of rejection sensitivity for intimate relationships. Journal of Personality and Social Psychology. 1996;70(6):1327–1343. doi: 10.1037//0022-3514.70.6.1327. 10.1037/0022-3514.70.6.1327. [DOI] [PubMed] [Google Scholar]
  105. Drigotas SM, Udry JR. Biosocial models of adolescent problem behavior: Extension to panel design. Social Biology. 1993;40(1-2):1–7. doi: 10.1080/19485565.1993.9988831. [DOI] [PubMed] [Google Scholar]
  106. Dunbar RIM. Primate social systems. London: Croom Helm; 1988. [Google Scholar]
  107. Duriez B, Vansteenkiste M, Soenens B, De Witte H. The social costs of extrinsic relative to intrinsic goal pursuits: Their relation with social dominance and racial and ethnic prejudice. Journal of Personality. 2007;75(4):757–782. doi: 10.1111/j.1467-6494.2007.00456.x. 10.1111/j.1467-6494.2007.00456.x. [DOI] [PubMed] [Google Scholar]
  108. Dykman BM. Integrating cognitive and motivational factors in depression: Initial tests of a goal-orientation approach. Journal of Personality and Social Psychology. 1998;74(1):139–158. doi: 10.1037//0022-3514.74.1.139. 10.1037/0022-3514.74.1.139. [DOI] [PubMed] [Google Scholar]
  109. Eccles J, B B. The Risky Behavior Scale. Ann Arbor: University of Michigan; 1990. [Google Scholar]
  110. Eckblad M, Chapman LJ. Development and validation of a scale for hypomanic personality. Journal of Abnormal Psychology. 1986;95(3):214–222. doi: 10.1037//0021-843x.95.3.214. 10.1037/0021-843X.95.3.214. [DOI] [PubMed] [Google Scholar]
  111. Edens JF. Interpersonal characteristics of male criminal offenders: Personality, psychopathological, and behavioral correlates. Psychological Assessment. 2009;21(1):89–98. doi: 10.1037/a0014856. 10.1037/a0014856. [DOI] [PubMed] [Google Scholar]
  112. Edinger KL, Frye CA. Testosterone's analgesic, anxiolytic, and cognitive-enhancing effects may be due in part to actions of its 5alpha-reduced metabolites in the hippocampus. Behavioral Neuroscience. 2004;118(6):1352–1364. doi: 10.1037/0735-7044.118.6.1352. 10.1037/0735-7044.118.6.1352. [DOI] [PubMed] [Google Scholar]
  113. Edinger KL, Frye CA. Intrahippocampal administration of an androgen receptor antagonist, flutamide, can increase anxiety-like behavior in intact and DHT-replaced male rats. Hormones and Behavior. 2006;50(2):216–222. doi: 10.1016/j.yhbeh.2006.03.003. 10.1016/j.yhbeh.2006.03.003. [DOI] [PubMed] [Google Scholar]
  114. Edwards AL. Edwards Personal Preference Schedule. 2nd. Oxford, England: Psychological Corporation; 1959. [Google Scholar]
  115. Egan V, Angus S. Is social dominance a sex-specific strategy for infidelity? Personality and Individual Differences. 2004;36(3):575–586. 10.1016/S0191-8869(03)00116-8. [Google Scholar]
  116. Elkins IJ, McGue M, Malone S, Iacono WG. The effect of parental alcohol and drug disorders on adolescent personality. The American Journal of Psychiatry. 2004;161(4):670–676. doi: 10.1176/appi.ajp.161.4.670. 10.1176/appi.ajp.161.4.670. [DOI] [PubMed] [Google Scholar]
  117. Emmons RA. Factor analysis and construct validity of the Narcissistic Personality Inventory. Journal of Personality Assessment. 1984;48(3):291–300. doi: 10.1207/s15327752jpa4803_11. 10.1207/s15327752jpa4803_11. [DOI] [PubMed] [Google Scholar]
  118. Erdincler D, Bugay G, Ertan T, Eker E. Depression and sex hormones in elderly women. Archives of Gerontology and Geriatrics. 2004;39(3):239–244. doi: 10.1016/j.archger.2004.03.008. 10.1016/j.archger.2004.03.008. [DOI] [PubMed] [Google Scholar]
  119. Fang CY, Egleston BL, Brown KM, Lavigne JV, Stevens VJ, Barton BA, et al. Dorgan JF. Family cohesion moderates the relation between free testosterone and delinquent behaviors in adolescent boys and girls. The Journal of Adolescent Health. 2009;44(6):590–597. doi: 10.1016/j.jadohealth.2008.11.018. 10.1016/j.jadohealth.2008.11.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Fenigstein A, Scheier MF, Buss AH. Public and private self-consciousness: Assessment and theory. Journal of Consulting and Clinical Psychology. 1975;43:522–527. [Google Scholar]
  121. Fernandez-Guasti A, Martinez-Mota L. Anxiolytic-like actions of testosterone in the burying behavior test: Role of androgen and GABA-benzodiazepine receptors. Psychoneuroendocrinology. 2005;30(8):762–770. doi: 10.1016/j.psyneuen.2005.03.006. 10.1016/j.psyneuen.2005.03.006. [DOI] [PubMed] [Google Scholar]
  122. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for Axis I DSM-IV Disorders Patient Edition (SCID Version 2.0) New York: Biomedics Research Department, New York State Psychiatric Institute; 1995. [Google Scholar]
  123. Fodor EM, Wick DP. Need for power and affective response to negative audience reaction to an extemporaneous speech. Journal of Research in Personality. 2009;43(5):721–726. 10.1016/j.jrp.2009.06.007. [Google Scholar]
  124. Fodor EM, Wick DP, Hartsen K. The power motive and affective response to assertiveness. Journal of Research in Personality. 2006;40(5):598–610. 10.1016/j.jrp.2005.06.001. [Google Scholar]
  125. Forth AE, Brown SL, Hart SD, Hare RD. The assessment of psychopathy in male and female noncriminals: Reliability and validity. Personality and Individual Differences. 1996;20(5):531–543. 10.1016/0191-8869(95)00221-9. [Google Scholar]
  126. Fournier MA, Moskowitz DS, Zuroff DC. Social rank strategies in hierarchical relationships. Journal of Personality and Social Psychology. 2002;83(2):425–433. doi: 10.1037//0022-3514.83.2.425. 10.1037//0022-3514.83.2.425. [DOI] [PubMed] [Google Scholar]
  127. Frye CA, Edinger K, Sumida K. Androgen administration to aged male mice increases anti-anxiety behavior and enhances cognitive performance. Neuropsychopharmacology. 2008;33(5):1049–1061. doi: 10.1038/sj.npp.1301498. 10.1038/sj.npp.1301498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Frye CA, Edinger KL. Testosterone's metabolism in the hippocampus may mediate its anti-anxiety effects in male rats. Pharmacology, Biochemistry, and Behavior. 2004;78(3):473–481. doi: 10.1016/j.pbb.2004.04.019. 10.1016/j.pbb.2004.04.019. [DOI] [PubMed] [Google Scholar]
  129. Frye CA, Edinger KL, Lephart ED, Walf AA. 3alpha-androstanediol, but not testosterone, attenuates age-related decrements in cognitive, anxiety, and depressive behavior of male rats. Frontiers in Aging Neuroscience. 2010;2:15. doi: 10.3389/fnagi.2010.00015. 10.3389/fnagi.2010.00015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Frye CA, Koonce CJ, Edinger KL, Osborne DM, Walf AA. Androgens with activity at estrogen receptor beta have anxiolytic and cognitive-enhancing effects in male rats and mice. Hormones and Behavior. 2008;54(5):726–734. doi: 10.1016/j.yhbeh.2008.07.013. 10.1016/j.yhbeh.2008.07.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Frye CA, Lacey EH. Posttraining androgens' enhancement of cognitive performance is temporally distinct from androgens' increases in affective behavior. Cognitive, Affective and Behavioral Neuroscience. 2001;1(2):172–182. doi: 10.3758/cabn.1.2.172. 10.3758/CABN.1.2.172. [DOI] [PubMed] [Google Scholar]
  132. Fuchs E, Flügge G. Social stress in tree shrews: Effects on physiology, brain function, and behavior of subordinate individuals. Pharmacology, Biochemistry, and Behavior. 2002;73(1):247–258. doi: 10.1016/s0091-3057(02)00795-5. 10.1016/S0091-3057(02)00795-5. [DOI] [PubMed] [Google Scholar]
  133. Fulford D, Johnson SL, Carver CS. Commonalities and differences in characteristics of persons at risk for narcissism and mania. Journal of Research in Personality. 2008;42(6):1427–1438. doi: 10.1016/j.jrp.2008.06.002. 10.1016/j.jrp.2008.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Gardner R. Mechanisms in manic-depressive disorder: An evolutionary model. Archives of General Psychiatry. 1982;39(12):1436–1441. doi: 10.1001/archpsyc.1982.04290120066013. [DOI] [PubMed] [Google Scholar]
  135. Gavrilova N, Lindau ST. Salivary sex hormone measurement in a national, population-based study of older adults. The Journal of Gerontology. 2009;64B(Suppl. 1):i94–i105. doi: 10.1093/geronb/gbn028. 10.1093/geronb/gbn028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  136. Ge X, Brody GH, Conger RD, Simons RL, Murry VM. Contextual amplification of pubertal transition effects on deviant peer affiliation and externalizing behavior among African American children. Developmental Psychology. 2002;38(1):42–54. doi: 10.1037//0012-1649.38.1.42. 10.1037/0012-1649.38.1.42. [DOI] [PubMed] [Google Scholar]
  137. Gibbons FX, Buunk BP. Individual differences in social comparison: Development of a scale of social comparison orientation. Journal of Personality and Social Psychology. 1999;76(1):129–142. doi: 10.1037//0022-3514.76.1.129. 10.1037/0022-3514.76.1.129. [DOI] [PubMed] [Google Scholar]
  138. Gilbert P. Depression: The evolution of powerlessness. New York, NY US: Guilford Press; 1992. [Google Scholar]
  139. Gilbert P. The evolution of social attractiveness and its role in shame, humiliation, guilt and therapy. British Journal of Medical Psychology. 1997;70:113–147. doi: 10.1111/j.2044-8341.1997.tb01893.x. [DOI] [PubMed] [Google Scholar]
  140. Gilbert P. The relationship of shame, social anxiety and depression: The role of the evaluation of social rank. Clinical Psychology and Psychotherapy. 2000a;7(3):174–189. 10.1002/1099-0879(200007)7:3<174::aid-cpp236>3.0.co;2-u. [Google Scholar]
  141. Gilbert P. Varieties of submissive behavior as forms of social defense: Their evolution and role in depression. In: Sloman L, Gilbert P, editors. Subordination and defeat: An evolutionary approach to mood disorders and their therapy. Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers; 2000b. pp. 3–45. [Google Scholar]
  142. Gilbert P, editor. The evolution of shame as a marker for relationship security. New York: Guilford; 2007. [Google Scholar]
  143. Gilbert P, Allan S. The role of defeat and entrapment (arrested flight) in depression: An exploration of an evolutionary view. Psychological Medicine. 1998;28(3):585–598. doi: 10.1017/s0033291798006710. 10.1017/S0033291798006710. [DOI] [PubMed] [Google Scholar]
  144. Gilbert P, Allan S, Brough S, Melley S, Miles JNV. Relationship of anhedonia and anxiety to social rank, defeat, and entrapment. Journal of Affective Disorders. 2002;71(1):141–151. doi: 10.1016/s0165-0327(01)00392-5. 10.1016/S0165-0327(01)00392- [DOI] [PubMed] [Google Scholar]
  145. Gilbert P, Allan S, Trent DR. Involuntary subordination or dependency as key dimensions of depressive vulnerability? Journal of Clinical Psychology. 1995;51(6):740–752. [PubMed] [Google Scholar]
  146. Gilbert P, Boxall M, Cheung M, Irons C. The relation of paranoid ideation and social anxiety in a mixed clinical population. Clinical Psychology and Psychotherapy. 2005;12(2):124–133. 10.1002/cpp.438. [Google Scholar]
  147. Gilbert P, Broomhead C, Irons C, McEwan K, Bellew R, Mills A, et al. Knibb R. Development of a striving to avoid inferiority scale. The British Journal of Social Psychology. 2007;46(Pt 3):633–648. doi: 10.1348/014466606X157789. 10.1348/014466606X157789. [DOI] [PubMed] [Google Scholar]
  148. Gilbert P, Cheung MSP, Grandfield T, Campey F, Irons C. Recall of threat and submissiveness in childhood: Development of a new scale and its relationship with depression, social comparison and shame. Clinical Psychology and Psychotherapy. 2003;10(2):108–115. 10.1002/cpp.359. [Google Scholar]
  149. Gilbert P, Irons C, editors. Focused therapies and compassionate mind training for shame and self-attacking. London: Routledge; 2005. [Google Scholar]
  150. Gilbert P, McEwan K, Bellew R, Mills A, Gale C. The dark side of competition: How competitive behaviour and striving to avoid inferiority are linked to depression, anxiety, stress and self-harm. Psychology and Psychotherapy. 2009;82(Pt 2):123–136. doi: 10.1348/147608308X379806. 10.1348/147608308X379806. [DOI] [PubMed] [Google Scholar]
  151. Gilbert P, McEwan K, Hay J, Irons C, Cheung M. Social rank and attachment in people with a bipolar disorder. Clinical Psychology and Psychotherapy. 2007;14(1):48–53. 10.1002/cpp.508. [Google Scholar]
  152. Gilbert P, McEwan K, Mitra R, Richter A, Franks L, Mills A, et al. Gale C. An exploration of different types of positive affect in students and patients with a bipolar disorders. Clinical Neuropsychiatry: Journal of Treatment Evaluation. 2009;6(4):135–143. [Google Scholar]
  153. Gilbert P, Procter S. Compassionate Mind Training for people with high shame and self-criticism: Overview and pilot study of a group therapy approach. Clinical Psychology and Psychotherapy. 2006;13(6):353–379. 10.1002/cpp.507. [Google Scholar]
  154. Glenn AL, Kurzban R, Raine A. Evolutionary theory and psychopathy. Aggression and Violent Behavior. 2011;16(5):371–380. 10.1016/j.avb.2011.03.009. [Google Scholar]
  155. Glenn AL, Raine A, Schug RA, Gao Y, Granger DA. Increased testosterone-to-cortisol ratio in psychopathy. Journal of Abnormal Psychology. 2011;120(2):389–399. doi: 10.1037/a0021407. 10.1037/a0021407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Goldberg DP, Hillier VF. A scaled version of the General Health Questionnaire. Psychological Medicine. 1979;9(1):139–145. doi: 10.1017/s0033291700021644. [DOI] [PubMed] [Google Scholar]
  157. Gonzaga GC, Keltner D, Ward D. Power in mixed-sex stranger interactions. Cognition and Emotion. 2008;22(8):1555–1568. 10.1080/02699930801921008. [Google Scholar]
  158. Goss K, Gilbert P, Allan S. An exploration of shame measures: I. The Other As Shamer Scale. Personality and Individual Differences. 1994;17(5):713–717. 10.1016/0191-8869(94)90149-X. [Google Scholar]
  159. Gough HG, Bradley P. CPI manual. 3rd. Palo Alto, CA: Consulting Psychologists Press; 1996. [Google Scholar]
  160. Gough HG, Heilbrun AB. The Adjective Checklist Manual. Palo Alto, CA: Consulting Psychologists Press; 1965. [Google Scholar]
  161. Goyette CH, Conners CK, Ulrich RF. Normative data on revised Conners Parent and Teacher Rating Scales. Journal of Abnormal Child Psychology. 1978;6(2):221–236. doi: 10.1007/BF00919127. [DOI] [PubMed] [Google Scholar]
  162. Graham-Kevan N, Archer J. Control tactics and partner violence in heterosexual relationships. Evolution and Human Behavior. 2009;30(6):445–452. 10.1016/j.evolhumbehav.2009.06.007. [Google Scholar]
  163. Granger DA, Shirtcliff EA, Zahn-Waxler C, Usher B, Klimes-Dougan B, Hastings P. Salivary testosterone diurnal variation and psychopathology in adolescent males and females: Individual differences and developmental effects. Development and Psychopathology. 2003;15(2):431–449. 10.1017/S0954579403000233. [PubMed] [Google Scholar]
  164. Grant VJ, France JT. Dominance and testosterone in women. Biological Psychology. 2001;58(1):41–47. doi: 10.1016/s0301-0511(01)00100-4. 10.1016/S0301-0511(01)00100-4. [DOI] [PubMed] [Google Scholar]
  165. Gray PB, Kahlenberg SM, Barrett ES, Lipson SF, Ellison PT. Marriage and fatherhood are associated with lower testosterone in males. Evolution and Human Behavior. 2002;23(3):193–201. 10.1016/S1090-5138(01)00101-5. [Google Scholar]
  166. Greenwald AG, McGhee DE, Schwarz JLK. Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology. 1998;74(6):1464–1480. doi: 10.1037//0022-3514.74.6.1464. 10.1037/0022-3514.74.6.1464. [DOI] [PubMed] [Google Scholar]
  167. Gruber J, Johnson SL. Positive emotional traits and ambitious goals among people at risk for bipolar disorder. International Journal of Cognitive Therapy. 2009;2:176–187. doi: 10.1521/ijct.2009.2.2.176. 10.1521/ijct.2009.2.2.176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. Gurtman MB. Construct validity of interpersonal personality measures: The interpersonal circumplex as a nomological net. Journal of Personality and Social Psychology. 1992;63(1):105–118. 10.1037/0022-3514.63.1.105. [Google Scholar]
  169. Gurtman MB. The circumplex as a tool for studying normal and abnormal personality: A methodological primer. In: Strack S, Lorr M, editors. Differentiating normal and abnormal personality. New York, NY, US: Springer Publishing Co.; 1994. pp. 243–263. [Google Scholar]
  170. Hall JA, Halberstadt AG, O'Brien CE. Subordination and nonverbal sensitivity: A study and synthesis of findings based on trait measures. Sex Roles. 1997;37(5):295–317. 10.1023/A:1025608105284. [Google Scholar]
  171. Hall JR, Benning SD, Patrick CJ. Criterion-related validity of the three-factor model of psychopathy: Personality, behavior, and adaptive functioning. Assessment. 2004;11(1):4–16. doi: 10.1177/1073191103261466. 10.1177/1073191103261466. [DOI] [PubMed] [Google Scholar]
  172. Halvari H, Gjesme T. Trait and state anxiety before and after competitive performance. Perceptual and Motor Skills. 1995;81(3, Pt 2):1059–1074. doi: 10.2466/pms.1995.81.3f.1059. [DOI] [PubMed] [Google Scholar]
  173. Hamilton M. Development of a rating scale for primary depressive illness. British Journal of Social and Clinical Psychology. 1967;6:278–296. doi: 10.1111/j.2044-8260.1967.tb00530.x. [DOI] [PubMed] [Google Scholar]
  174. Harder DH, Zalma A. Two promising shame and guilt scales: A construct validity comparison. Journal of Personality Assessment. 1990;55(3-4):729–745. doi: 10.1080/00223891.1990.9674108. 10.1080/00223891.1990.9674108. [DOI] [PubMed] [Google Scholar]
  175. Harder DW, Cutler L, Rockart L. Assessment of shame and guilt and their relationships to psychopathology. Journal of Personality Assessment. 1992;59(3):584–604. doi: 10.1207/s15327752jpa5903_12. 10.1207/s15327752jpa5903_12. [DOI] [PubMed] [Google Scholar]
  176. Harder DW, Lewis SJ. The assessment of shame and guilt. In: Butcher JN, Spielberger CD, editors. Advances in personality assessment. Vol. 6. Hillsdale, NJ, England: Lawrence Erlbaum Associates, Inc.; 1987. pp. 89–114. [Google Scholar]
  177. Hare RD. The Hare Psychopathy Checklist-Revised. Toronto, Canada: Multi-Health Systems; 1991. [Google Scholar]
  178. Hare RD. The Hare Psychopathy Checklist- Revised Edition. Toronto, On, Canada: Multi-Health System; 2003. [Google Scholar]
  179. Haren MT, Malmstrom TK, Banks WA, Patrick P, Miller DK, Morley JE. Lower serum DHEAS levels are associated with a higher degree of physical disability and depressive symptoms in middle-aged to older African American women. Maturitas. 2007;57(4):347–360. doi: 10.1016/j.maturitas.2007.03.003. 10.1016/j.maturitas.2007.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  180. Harpur TJ, Hare RD, Hakstian AR. Two-factor conceptualization of psychopathy: Construct validity and assessment implications. Psychological Assessment. 1989;1(1):6–17. 10.1037/1040-3590.1.1.6. [Google Scholar]
  181. Hawley PH. The ontogenesis of social dominance: A strategy-based evolutionary perspective. Developmental Review. 1999;19(1):97–132. 10.1006/drev.1998.0470. [Google Scholar]
  182. Hawley PH. Social dominance and prosocial and coercive strategies of resource control in preschoolers. International Journal of Behavioral Development. 2002;26(2):167–176. 10.1080/01650250042000726. [Google Scholar]
  183. Hawley PH, editor. Social dominance in childhood and adolescence: Why social competence and aggression may go hand in hand. Mahwah, NJ: Erlbaum; 2007. [Google Scholar]
  184. Hawley PH, Little TD. On winning some and losing some: A social relations approach to social dominance in toddlers. Merrill-Palmer Quarterly. 1999;45(2):185–214. [Google Scholar]
  185. Health., M. R. N. o. S. McArthur Scale of Subjective Social Status. 2007 Retrieved November 7, 2010 from http://www.macses.ucsf.edu/research/psychosocial/subjective.php.
  186. Heerey EA, Kring AM. Interpersonal consequences of social anxiety. Journal of Abnormal Psychology. 2007;116(1):125–134. doi: 10.1037/0021-843X.116.1.125. 10.1037/0021-843X.116.1.125. [DOI] [PubMed] [Google Scholar]
  187. Helzer JE. Development of the Diagnostic Interview Schedule. In: Helzer JE, Canino GJ, editors. Alcoholism in North America, Europe, and Asia. New York, NY, US: Oxford University Press; 1992. pp. 13–20. [Google Scholar]
  188. Hermans EJ, Bos PA, Ossewaarde L, Ramsey NF, Fernández G, van Honk J. Effects of exogenous testosterone on the ventral striatal BOLD response during reward anticipation in healthy women. Neuroimage. 2010;52:277–283. doi: 10.1016/j.neuroimage.2010.04.019. 10.1016/j.neuroimage.2010.04.019. [DOI] [PubMed] [Google Scholar]
  189. Hermans EJ, Putman P, Baas JM, Koppeschaar HP, van Honk J. A single administration of testosterone reduces fear-potentiated startle in humans. Biological Psychiatry. 2006;59(9):872–874. doi: 10.1016/j.biopsych.2005.11.015. 10.1016/j.biopsych.2005.11.015. [DOI] [PubMed] [Google Scholar]
  190. Hermans EJ, Putman P, van Honk J. Testosterone administration reduces empathetic behavior: A facial mimicry study. Psychoneuroendocrinology. 2006;31(7):859–866. doi: 10.1016/j.psyneuen.2006.04.002. 10.1016/j.psyneuen.2006.04.002. [DOI] [PubMed] [Google Scholar]
  191. Hettema JM, Neale MC, Myers JM, Prescott CA, Kendler KS. A population-based twin study of the relationship between neuroticism and internalizing disorders. American Journal of Psychiatry. 2006;163(5):857–864. doi: 10.1176/ajp.2006.163.5.857. 10.1176/appi.ajp.163.5.857. [DOI] [PubMed] [Google Scholar]
  192. Hicks BM, Markon KE, Patrick CJ, Krueger RF, Newman JP. Identifying psychopathy subtypes on the basis of personality structure. Psychological Assessment. 2004;16(3):276–288. doi: 10.1037/1040-3590.16.3.276. 10.1037/1040-3590.16.3.276. [DOI] [PubMed] [Google Scholar]
  193. Higley JD, Mehlman PT, Poland RE, Taub DM. CSF testosterone and 5-HIAA correlate with different types of aggressive behaviors. Biological Psychiatry. 1996;40(11):1067–1082. doi: 10.1016/S0006-3223(95)00675-3. 10.1016/S0006-3223(95)00675-3. [DOI] [PubMed] [Google Scholar]
  194. Hoblitzelle W. Developing a measure of shame and guilt and the role of shame in depression. Yale University; New Haven, CT: 1982. Unpublished manuscript. [Google Scholar]
  195. Hoblitzelle W. Differentiating and measuring shame and guilt: The relation between shame and depression. In: Lewis HB, editor. The role of shame in symptom formation. Hillsdale, NJ, England: Lawrence Erlbaum Associates, Inc.; 1987. pp. 207–235. [Google Scholar]
  196. Horowitz LM. Interpersonal foundations of psychopathology. Washington, DC: American Psychological Association; 2004. [Google Scholar]
  197. Horowitz LM, Rosenberg SE, Baer BA, Ureño G, Villaseñor VS. Inventory of Interpersonal Problems: Psychometric properties and clinical applications. Journal of Consulting and Clinical Psychology. 1988;56(6):885–892. doi: 10.1037//0022-006x.56.6.885. 10.1037/0022-006X.56.6.885. [DOI] [PubMed] [Google Scholar]
  198. Jackson DJR, Stillman JA, Burke S, Englert P. Self versus assessor ratings and their classification in assessment centres: Profiling the self-rater. New Zealand Journal of Psychology. 2007;36(2):93–99. [Google Scholar]
  199. Jackson DN. Personality Research Form. Port Huron, MI: Port Huron, MI: Sigma Assessment Systems, Inc.; 1999. [Google Scholar]
  200. John OP, Robins RW. Accuracy and bias in self-perception: Individual differences in self-enhancement and the role of narcissism. Journal of Personality and Social Psychology. 1994;66(1):206–219. doi: 10.1037//0022-3514.66.1.206. 10.1037/0022-3514.66.1.206. [DOI] [PubMed] [Google Scholar]
  201. Johnson SL, Carver CS. Extreme goal setting and vulnerability to mania among undiagnosed young adults. Cognitive Therapy and Research. 2006;30:377–395. doi: 10.1007/s10608-006-9044-7. 10.1007/s10608-006-9044-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  202. Johnson SL, Carver CS, Siegel RS. Social dominance among persons at risk for bipolar disorders: Motivation for dominance, perceptions of rank, and socially dominant behaviors. 2011. Unpublished manuscript. [Google Scholar]
  203. Johnson SL, Eisner LR, Carver CS. Elevated expectancies among persons diagnosed with bipolar disorder. British Journal of Clinical Psychology. 2009;48(2):217–222. doi: 10.1348/014466509X414655. 10.1348/014466509X414655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  204. Jonason PK, Koenig BL, Tost J. Living a fast life. Human Nature. 2010;21(4):428–442. 10.1007/s12110-010-9102-4. [Google Scholar]
  205. Josephs RA, Sellers JG, Newman ML, Mehta PH. The mismatch effect: When testosterone and status are at odds. Journal of Personality and Social Psychology. 2006;90(6):999–1013. doi: 10.1037/0022-3514.90.6.999. 10.1037/0022-3514.90.6.999. [DOI] [PubMed] [Google Scholar]
  206. Julian T, McKenry PC. Relationship of testosterone to men's family functioning at mid-life: A research note. Aggressive Behavior. 1989;15(4):281–289. [Google Scholar]
  207. Kaltiala-Heino R, Marttunen M, Rantanen P, Rimpelä M. Early puberty is associated with mental health problems in middle adolescence. Social Science and Medicine. 2003;57(6):1055–1064. doi: 10.1016/s0277-9536(02)00480-x. 10.1016/S0277-9536(02)00480-X. [DOI] [PubMed] [Google Scholar]
  208. Kasser T, Ryan RM. A dark side of the American dream: Correlates of financial success as a central life aspiration. Journal of Personality and Social Psychology. 1993;65(2):410–422. doi: 10.1037//0022-3514.65.2.410. 10.1037/0022-3514.65.2.410. [DOI] [PubMed] [Google Scholar]
  209. Kaufman J, Birmaher B, Brent D, Rao U, Ryan N. Kiddie-Sads Present and Lifetime Version (K-SADS-PL): Diagnostic Interview. Pittsburgh, PA: Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center; 1996. [Google Scholar]
  210. Keeney A, Jessop DS, Harbuz MS, Marsden CA, Hogg S, Blackburn-Munro RE. Differential effects of acute and chronic social defeat stress on hypothalamic-pituitary-adrenal axis function and hippocampal serotonin release in mice. Journal of Neuroendocrinology. 2006;18(5):330–338. doi: 10.1111/j.1365-2826.2006.01422.x. 10.1111/j.1365-2826.2006.01422.x. [DOI] [PubMed] [Google Scholar]
  211. Keltner D, Gruenfeld DH, Anderson C. Power, approach, and inhibition. Psychological Review. 2003;110(2):265–284. doi: 10.1037/0033-295x.110.2.265. 10.1037/0033-295X.110.2.265. [DOI] [PubMed] [Google Scholar]
  212. Keltner D, Robinson RJ. Defending the status quo: Power and bias in social conflict. Personality and Social Psychology Bulletin. 1997;23(10):1066–1077. 10.1177/01461672972310007. [Google Scholar]
  213. Kemper TD. Social structure and testosterone: Explorations of the socio-bio-social chain. New Brunswick, NJ: Rutgers University Press; 1990. [Google Scholar]
  214. Kendler KS, Gardner CO, Gatz M, Pedersen NL. The sources of co-morbidity between major depression and generalized anxiety disorder in a Swedish national twin sample. Psychological Medicine. 2007;37(3):453–462. doi: 10.1017/S0033291706009135. 10.1017/S0033291706009135. [DOI] [PubMed] [Google Scholar]
  215. Kendler KS, Prescott CA, Myers J, Neale MC. The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry. 2003;60:929–937. doi: 10.1001/archpsyc.60.9.929. 10.1001/archpsyc.60.9.929. [DOI] [PubMed] [Google Scholar]
  216. Kernberg O. Narcissistic personality disorders. Journal of European Psychoanalysis. 1998;7:7–18. [Google Scholar]
  217. Kessler RC. Depression screening. The Journal of Family Practice. 2003;52(6):466–467. [PubMed] [Google Scholar]
  218. Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, et al. Wang PS. The epidemiology of major depressive disorder. Journal of American Medical Association. 2003a;289(23):3095–3105. doi: 10.1001/jama.289.23.3095. [DOI] [PubMed] [Google Scholar]
  219. Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, et al. Wang PS. The epidemiology of major depressive disorder: Results from the National Comorbidity Survey Replication (NCS-R) Journal of the American Medical Association. 2003b;289(23):3095–3105. doi: 10.1001/jama.289.23.3095. 10.1001/jama.289.23.3095. [DOI] [PubMed] [Google Scholar]
  220. Kirby ED, Geraghty AC, Ubuka T, Bentley GE, Kaufer D. Stress increases putative gonadotropin inhibitory hormone and decreases luteinizing hormone in male rats. Proceedings of the National Academy of Sciences of the United States of America; 2009. pp. 11324–11329. 10.1073/pnas.0901176106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  221. Kirillova GP, Vanyukov MM, Kirisci L, Reynolds M. Physical maturation, peer environment, and the ontogenesis of substance use disorders. Psychiatry Research. 2008;158(1):43–53. doi: 10.1016/j.psychres.2007.02.017. 10.1016/j.psychres.2007.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  222. Kirkpatrick LA, Waugh CE, Valencia A, Webster GD. The functional domain specificity of self-esteem and the differential prediction of aggression. Journal of Personality and Social Psychology. 2002;82(5):756–767. 10.1037//0022-3514.82.5.756. [PubMed] [Google Scholar]
  223. Kline MD, Jaggers ED. Mania onset while using dehydroepiandrosterone. The American Journal of Psychiatry. 1999;156(6):971–971. doi: 10.1176/ajp.156.6.971. [DOI] [PubMed] [Google Scholar]
  224. Klonsky ED, Oltmanns TF, Turkheimer E. Informant-reports of personality disorder: Relations to self-reports and future research directions. Clinical Psychology: Science and Practice. 2002;9:300–311. 10.1093/clipsy/9.3.300. [Google Scholar]
  225. Kohut H. The restoration of the self. New York: International Universities Press; 1977. [Google Scholar]
  226. Kosson DS, Steuerwald BL, Forth AE, Kirkhart KJ. A new method for assessing the interpersonal behavior of psychopathic individuals: Preliminary validation studies. Psychological Assessment. 1997;9(2):89–101. 10.1037/1040-3590.9.2.89. [Google Scholar]
  227. Kovacs M. Rating scales to assess depression in school-aged children. Acta Paedopsychiatrica: International Journal of Child and Adolescent Psychiatry. 1981;46(5-6):305–315. [PubMed] [Google Scholar]
  228. Krueger RF, Caspi A, Moffitt TE, Silva PA, McGee R. Personality traits are differentially linked to mental disorders: A multitrait-multidiagnosis study of an adolescent birth cohort. Journal of Abnormal Psychology. 1996;105(3):299–312. doi: 10.1037//0021-843x.105.3.299. 10.1037/0021-843X.105.3.299. [DOI] [PubMed] [Google Scholar]
  229. Krueger RF, McGue M, Iacono WG. The higher-order structure of common DSM mental disorders: Internalization, externalization, and their connections to personality. Personality and Individual Differences. 2001;30:1245–1259. 10.1016/S0191-8869(00)00106-9. [Google Scholar]
  230. Kwapil TR, Miller MB, Zinser MC, Chapman LJ, Chapman J, Eckblad M. A longitudinal study of high scorers on the hypomanic personality scale. Journal of Abnormal Psychology. 2000;109(2):222–226. 10.1037/0021-843X.109.2.222. [PubMed] [Google Scholar]
  231. Lahey BB, Loeber R, Burke JD, Applegate B. Predicting future antisocial personality disorder in males from a clinical assessment in childhood. Journal of Consulting and Clinical Psychology. 2005;73(3):389–399. doi: 10.1037/0022-006X.73.3.389. 10.1037/0022-006X.73.3.389. [DOI] [PubMed] [Google Scholar]
  232. Langner CA, Keltner D. Social power and emotional experience: Actor and partner effects within dyadic interactions. Journal of Experimental Social Psychology. 2008;44(3):848–856. 10.1016/j.jesp.2007.08.002. [Google Scholar]
  233. Leary MR, Kowalski RM. The Interaction Anxiousness Scale: Construct and criterion-related validity. Journal of Personality Assessment. 1993;61(1):136–146. doi: 10.1207/s15327752jpa6101_10. 10.1207/s15327752jpa6101_10. [DOI] [PubMed] [Google Scholar]
  234. Leary T. Interpersonal diagnosis of personality: A functional theory and methodology for personality evaluation. New York: Ronald Press; 1957. [Google Scholar]
  235. Lennox RD, Wolfe RN. Revision of the Self-Monitoring Scale. Journal of Personality and Social Psychology. 1984;46(6):1349–1364. doi: 10.1037//0022-3514.46.6.1349. 10.1037/0022-3514.46.6.1349. [DOI] [PubMed] [Google Scholar]
  236. Liebowitz MR. Social phobia. Modern problems of pharmacopsychiatry. 1987;22:141–173. doi: 10.1159/000414022. [DOI] [PubMed] [Google Scholar]
  237. Lilienfeld SO, Andrews BP. Development and preliminary validation of a self report measure of psychopathic personality traits in noncriminal populations. Journal of Personality Assessment. 1996;66:488–524. doi: 10.1207/s15327752jpa6603_3. 10.1207/s15327752jpa6603_3. [DOI] [PubMed] [Google Scholar]
  238. Loeber R. Peer Delinquency Scale. Pittsburgh, PA: Department of Psychiatry, University of Pittsburgh; 1989. [Google Scholar]
  239. Loizides E, Swierzewski MJ, O'Neill C, Griesser J, Smith T. Early response time in sexual activity and mood following testosterone gel replacement in hypogonadal males from the Testim START Study. Reviews in Urology. 2004;6(6):S16-21–S16-21. [PMC free article] [PubMed] [Google Scholar]
  240. Lovibond PF, Lovibond SH. The structure of negative emotional states: Comparison of the depression anxiety stress scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy. 1995;33(3):335–343. doi: 10.1016/0005-7967(94)00075-u. 10.1016/0005-7967(94)00075-U. [DOI] [PubMed] [Google Scholar]
  241. MacDonald K, MacDonald TM. The peptide that binds: A systematic review of oxycotin and its prosocial effects in humans. Harvard Review of Psychiatry. 2010;18(1):1–21. doi: 10.3109/10673220903523615. 10.3109/10673220903523615. [DOI] [PubMed] [Google Scholar]
  242. Magee JC, Langner CA. How personalized and socialized power motivation facilitate antisocial and prosocial decision-making. Journal of Research in Personality. 2008;42(6):1547–1559. 10.1016/j.jrp.2008.07.009. [Google Scholar]
  243. Malatynska E, Knapp RJ. Dominant-submissive behavior as models of mania and depression. Neuroscience and Biobehavioral Reviews. 2005;29(4):715–737. doi: 10.1016/j.neubiorev.2005.03.014. 10.1016/j.neubiorev.2005.03.014. [DOI] [PubMed] [Google Scholar]
  244. Maner JK, Miller SL, Schmidt NB, Eckel LA. Submitting to defeat: Social anxiety, dominance threat, and decrements in testosterone. Psychological Science. 2008;19(8):764–768. doi: 10.1111/j.1467-9280.2008.02154.x. 10.1111/j.1467-9280.2008.02154.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  245. Maras A, Laucht M, Gerdes D, Wilhelm C, Lewicka S, Haack D, et al. Schmidt MH. Association of testosterone and dihydrotestosterone with externalizing behavior in adolescent boys and girls. Psychoneuroendocrinology. 2003;28(7):932–940. doi: 10.1016/s0306-4530(02)00119-1. 10.1016/s0306-4530(02)00119-1. [DOI] [PubMed] [Google Scholar]
  246. Markowitz JS, Carson WH, Jackson CW. Possible dihydroepiandrosterone-induced mania. Biological Psychiatry. 1999;45(2):241–242. doi: 10.1016/s0006-3223(98)00091-2. 10.1016/S0006-3223(98)00091-2. [DOI] [PubMed] [Google Scholar]
  247. Martens R. Sport Competition Anxiety Test. Champaign, IL, England: Human Kinetics Publishers; 1977. [Google Scholar]
  248. Mascolo MF, Fischer KW, editors. Developmental transformations in appraisals of pride, shame and guilt. New York: Guilford; 1995. [Google Scholar]
  249. Matchock RL, Dorn LD, Susman EJ. Diurnal and seasonal cortisol, testosterone, and DHEA rhythms in boys and girls during puberty. Chronobiology International. 2007;24(5):969–990. doi: 10.1080/07420520701649471. 10.1080/07420520701649471. [DOI] [PubMed] [Google Scholar]
  250. Mattick RP, Clarke JC. Development and validation of measures of social phobia scrutiny fear and social interaction anxiety. Behaviour Research and Therapy. 1998;36(4):455–470. doi: 10.1016/s0005-7967(97)10031-6. 10.1016/S0005-7967(97)10031-6. [DOI] [PubMed] [Google Scholar]
  251. Mazur A, Booth A. Testosterone and dominance in men. Behavioral and Brain Sciences. 1998;21(3):353–397. 10.1017/S0140525X98001228. [PubMed] [Google Scholar]
  252. Mazur A, Booth A, Dabbs JM. Testosterone and chess competition. Social Psychology Quarterly. 1992;55(1):70–77. 10.2307/2786687. [Google Scholar]
  253. McClelland DC. Power: The inner experience. Oxford, England: Irvington; 1975. [Google Scholar]
  254. McClelland DC. Human motivation. Glenview, IL: Scott, Foresman; 1985. [Google Scholar]
  255. McClelland DC, Koestner R, Weinberger J. How do self-attributed and implicit motives differ? Psychological Reivew. 1989;96(4):690–702. 10.1037/0033-295X.96.4.690. [Google Scholar]
  256. McGuire MT, Troisi A. Prevalence differences in depression among males and females: Are there evolutionary explanations? British Journal of Medical Psychology. 1998;71(4):479–491. doi: 10.1111/j.2044-8341.1998.tb01004.x. [DOI] [PubMed] [Google Scholar]
  257. McNicholas TA, Dean JD, Mulder H, Carnegie C, Jones NA. A novel testosterone gel formulation normalizes androgen levels in hypogonadal men, with improvements in body composition and sexual function. British Journal of Urology International. 2003;91(1):69–74. doi: 10.1046/j.1464-410x.2003.04016.x. 10.1007/s00213-008-1256-y. [DOI] [PubMed] [Google Scholar]
  258. Mealy L. The sociobiology of sociopathy: An integrated evolutionary account. Behavioral and Brain Sciences. 1995;18(3):523–599. 10.1017/S0140525X00039595. [Google Scholar]
  259. Mehrabian A. Distinguishing depression and trait anxiety in terms of basic dimensions of temperament. Imagination, Cognition and Personality. 1995a;15(2):133–143. 10.2190/JB3J-LL1E-GYGY-D0RJ. [Google Scholar]
  260. Mehrabian A. Framework for a comprehensive description and measurement of emotional states. Genetic, Social, and General Psychology Monographs. 1995b;121(3):339–361. [PubMed] [Google Scholar]
  261. Mehrabian A. Relationships among three general approaches to personality description. Journal of Psychology: Interdisciplinary and Applied. 1995c;129(5):565–581. doi: 10.1080/00223980.1995.9914929. [DOI] [PubMed] [Google Scholar]
  262. Mehrabian A. Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology. 1996;14(4):261–292. 10.1007/BF02686918. [Google Scholar]
  263. Mehrabian A, Bernath MS. Factorial composition of commonly used self-report depression inventories: Relationships with basic dimensions of temperament. Journal of Research in Personality. 1991;25(3):262–275. 10.1016/0092-6566(91)90019-M. [Google Scholar]
  264. Mehrabian A, O'Reilly E. Analysis of personality measures in terms of basic dimensions of temperament. Journal of Personality and Social Psychology. 1980;38(3):492–503. 10.1037/0022-3514.38.3.492. [Google Scholar]
  265. Mehta PH, Wuehrmann EV, Josephs RA. When are low testosterone levels advantageous? The moderating role of individual versus intergroup competition. Hormones and Behavior. 2009;56(1):158–162. doi: 10.1016/j.yhbeh.2009.04.001. 10.1016/j.yhbeh.2009.04.001. [DOI] [PubMed] [Google Scholar]
  266. Mineka S, Õhman A. Born to fear: Nonassociative vs. associative factors in the etiology of phobias. Behaviour Research and Therapy. 2002;40:173–184. doi: 10.1016/s0005-7967(01)00050-x. 10.1016/S0005-7967(01)00050-X. [DOI] [PubMed] [Google Scholar]
  267. Morey LC. The Personality Assessment Inventory professional manual. Odessa, FL: Psychological Assessment Resources; 1991. [Google Scholar]
  268. Morf CC, Rhodewalt F. Narcissism and self-evaluation maintenance: Explorations in object relations. Personality and Social Psychology Bulletin. 1993;19(6):668–676. 10.1177/0146167293196001. [Google Scholar]
  269. Morf CC, Rhodewalt F. Unraveling the paradoxes of narcissism: A dynamic self-regulatory processing model. Psychological Inquiry. 2001;12:177–196. 10.1207/S15327965PLI1204_1. [Google Scholar]
  270. Morsink LF, Vogelzangs N, Nicklas BJ, Beekman AT, Satterfield S, Rubin SM, et al. Penninx BW. Associations between sex steroid hormone levels and depressive symptoms in elderly men and women: Results from the Health ABC study. Psychoneuroendocrinology. 2007;32(8-10):874–883. doi: 10.1016/j.psyneuen.2007.06.009. 10.1016/j.psyneuen.2007.06.009. [DOI] [PubMed] [Google Scholar]
  271. Mudrack PE. Relationship between dominance and achievement among self-report measures. Psychological Reports. 1993;73(3):971–977. [Google Scholar]
  272. Naragon-Gainey K, Watson D, Markon KE. Differential relations of depression and social anxiety symptoms to the facets of extraversion/positive emotionality. Journal of Abnormal Psychology. 2009;118(2):299–310. doi: 10.1037/a0015637. 10.1037/a0015637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  273. Nottelmann ED, Susman EJ, Inoff-Germain G, Cutler GB, Loriaux DL, Chrousos GP. Developmental processes in early adolescence: Relationships between adolescent adjustment problems and chronologic age, pubertal stage, and puberty-related serum hormone levels. The Journal of Pediatrics. 1987;110(3):473–480. doi: 10.1016/s0022-3476(87)80521-8. 10.1016/S0022-3476(87)80521-8. [DOI] [PubMed] [Google Scholar]
  274. O'Connor LE, Berry JW, Weiss J, Gilbert P. Guilt, fear, submission, and empathy in depression. Journal of Affective Disorders. 2002;71(1):19–27. doi: 10.1016/s0165-0327(01)00408-6. 10.1016/S0165-0327(01)00408-6. [DOI] [PubMed] [Google Scholar]
  275. Öhman A. Face the beast and fear the face: Animal and social fears as prototypes for evolutionary analyses of emotion. Psychophysiology. 1986;23(2):123–145. doi: 10.1111/j.1469-8986.1986.tb00608.x. 10.1111/j.1469-8986.1986.tb00608.x. [DOI] [PubMed] [Google Scholar]
  276. Okun MS, McDonald WM, DeLong MR. Refractory nonmotor symptoms in male patients with Parkinson disease due to testosterone deficiency: A common unrecognized comorbidity. Archives of Neurology. 2002;59(5):807–811. doi: 10.1001/archneur.59.5.807. 10.1001/archneur.59.5.807. [DOI] [PubMed] [Google Scholar]
  277. Olweus D. Development of a Multi-Faceted Aggression Inventory for boys. Report no. 6. Bergen, Norway: University of Bergen; 1975. [Google Scholar]
  278. Olweus D, Mattsson Å, Schalling D, Löw H. Testosterone, aggression, physical, and personality dimensions in normal adolescent males. Psychosomatic Medicine. 1980;42(2):253–569. doi: 10.1097/00006842-198003000-00003. [DOI] [PubMed] [Google Scholar]
  279. Olweus D, Mattsson Å, Schalling D, Löw H. Circulating testosterone levels and aggression in adolescent males: A causal analysis. Psychosomatic Medicine. 1988;50(3):261–272. doi: 10.1097/00006842-198805000-00004. [DOI] [PubMed] [Google Scholar]
  280. Operario D, Fiske ST. Effects of trait dominance on powerholders' judgments of subordinates. Social Cognition. 2001;19(2):161–180. 10.1521/soco.19.2.161.20704. [Google Scholar]
  281. Pajer K, Tabbah R, Gardner W, Rubin RT, Czambel RK, Wang Y. Adrenal androgen and gonadal hormone levels in adolescent girls with conduct disorder. Psychoneuroendocrinology. 2006;31(10):1245–1256. doi: 10.1016/j.psyneuen.2006.09.005. 10.1016/j.psyneuen.2006.09.005. [DOI] [PubMed] [Google Scholar]
  282. Panksepp J, Burgdorf J, Beinfeld MC, Kroes RA, Moskal JR. Brain regional neuropeptide changes resulting from social defeat. Behavioral Neuroscience. 2007;121(6):1364–1371. doi: 10.1037/0735-7044.121.6.1364. 10.1037/0735-7044.121.6.1364. [DOI] [PubMed] [Google Scholar]
  283. Parkins IS, Fishbein HD, Ritchey PN. The influence of personality on workplace bullying and discrimination. Journal of Applied Social Psychology. 2006;36(10):2554–2577. 10.1111/j.0021-9029.2006.00117.x. [Google Scholar]
  284. Parrott DJ, Giancola PR. Addressing “the criterion problem” in the assessment of aggressive behavior: Development of a new taxonomic system. Aggression and Violent Behavior. 2007;12(3):280–299. 10.1016/j.avb.2006.08.002. [Google Scholar]
  285. Patrick CJ, Curtin JJ, Tellegen A. Development and validation of a brief form of the Multidimensional Personality Questionnaire. Psychological Assessment. 2002;14(2):150–163. doi: 10.1037//1040-3590.14.2.150. 10.1037/1040-3590.14.3.262. [DOI] [PubMed] [Google Scholar]
  286. Patrick CJ, Edens JF, Poythress NG, Lilienfeld SO, Benning SD. Construct validity of the Psychopathic Personality Inventory two-factor model with offenders. Psychological Assessment. 2006;18(2):204–208. doi: 10.1037/1040-3590.18.2.204. 10.1037/1040-3590.18.2.204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  287. Patrick CJ, Hicks BM, Krueger RF, Lang AR. Relations between psychopathy facets and externalizing in a criminal offender sample. Journal of Personality Disorders. 2005;19(4):339–356. doi: 10.1521/pedi.2005.19.4.339. 10.1521/pedi.2005.19.4.339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  288. Paulhus DL. Interpersonal and intrapsychic adaptiveness of trait self-enhancement: A mixed blessing? Journal of Personality and Social Psychology. 1998;74:1197–1208. doi: 10.1037//0022-3514.74.5.1197. 10.1037/0022-3514.74.5.1197. [DOI] [PubMed] [Google Scholar]
  289. Pincus AL, Ansell EB, Pimentel CA, Cain NM, Wright AG, Levy KN. Initial construction and validation of the Pathological Narcissism Inventory. Psychological Assessment. 2009;21(3):365–379. doi: 10.1037/a0016530. 10.1037/a0016530. [DOI] [PubMed] [Google Scholar]
  290. Pope HG, Katz DL. Affective and psychotic symptoms associated with anabolic steroid use. The American Journal of Psychiatry. 1988;145(4):487–490. doi: 10.1176/ajp.145.4.487. [DOI] [PubMed] [Google Scholar]
  291. Pope HG, Kouri EM, Hudson JI. Effects of supraphysiologic doses of testosterone on mood and aggression in normal men: A randomized controlled trial. Archives of General Psychiatry. 2000;57(2):133–140. doi: 10.1001/archpsyc.57.2.133. 10.1001/archpsyc.57.2.133. [DOI] [PubMed] [Google Scholar]
  292. Price J, Sloman L, Gardner R, Gilbert P. The social competition hypothesis of depression. British Journal of Psychiatry. 1994;164:309–315. doi: 10.1192/bjp.164.3.309. 10.1192/bjp.164.3.309. [DOI] [PubMed] [Google Scholar]
  293. Price JS. The dominance hierarchy and the evolution of mental illness. The Lancet. 1967;290(7509):243–246. 10.1016/S0140-6736(67)92306-9. [Google Scholar]
  294. Price JS. Genetic and phylogenetic aspects of mood variation. International Journal of Mental Health. 1972;1(1-2):124–144. [Google Scholar]
  295. Radloff LS. The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1(3):385–401. [Google Scholar]
  296. Raskin R, Hall CS. The Narcissistic Personality Inventory: Alternate form reliability and further evidence of construct validity. Journal of Personality Assessment. 1981;45(2):159–162. doi: 10.1207/s15327752jpa4502_10. 10.1207/s15327752jpa4502_10. [DOI] [PubMed] [Google Scholar]
  297. Raskin R, Novacek J, Hogan R. Narcissism, self-esteem, and defensive self-enhancement. Journal of Personality. 1991;59(1):19–38. doi: 10.1111/j.1467-6494.1991.tb00766.x. [DOI] [PubMed] [Google Scholar]
  298. Raskin R, Terry H. A principal-components analysis of the Narcissistic Personality Disorder Inventory and further evidence of its construct validity. Journal of Personality and Social Psychology. 1988;54(5):890–902. doi: 10.1037//0022-3514.54.5.890. 10.1037/0022-3514.54.5.890. [DOI] [PubMed] [Google Scholar]
  299. Raskin RN, Hall CS. A narcissistic personality inventory. Psychological Reports. 1979;45(2):590–590. doi: 10.2466/pr0.1979.45.2.590. [DOI] [PubMed] [Google Scholar]
  300. Ravindran AV, Lam RW, Filteau MJ, Lesperance F, Kennedy SH, Parikh SV, Patten SB. Canadian Network for Mood and Anxiety Treatments (CANMAT) Clinical guidelines for the management of major depressive disorder in adults. V. Complementary and alternative medicine treatments. Journal of Affective Disorders. 2009;117(1):S54–64. doi: 10.1016/j.jad.2009.06.040. Journal Article. 10.1016/j.jad.2009.06.040. [DOI] [PubMed] [Google Scholar]
  301. Robins LN, Helzer JE, Croughan JL, Ratcliff KS. National Institute of Mental Health diagnostic interview schedule: Its history, characteristics, and validity. Archives of General Psychiatry. 1981;38(4):381–389. doi: 10.1001/archpsyc.1981.01780290015001. [DOI] [PubMed] [Google Scholar]
  302. Robins LN, Helzer JE, Ratcliff KS, Seyfried W. Validity of the Diagnostic Interview Schedule, Version II: DSM-III diagnoses. Psychological Medicine. 1982;12(4):855–870. doi: 10.1017/s0033291700049151. 10.1017/S0033291700049151. [DOI] [PubMed] [Google Scholar]
  303. Robins LN, Wing J, Wittchen HU, Helzer JE, Babor TF, Burke J, et al. Regier DA. The Composite International Diagnostic Interview. An epidemiologic instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Archives of General Psychiatry. 1988;45(12):1069–1077. doi: 10.1001/archpsyc.1988.01800360017003. [DOI] [PubMed] [Google Scholar]
  304. Rodebaugh TL, Gianoli MO, Turkheimer E, Oltmanns TF. The interpersonal problems of the socially avoidant: Self and peer shared variance. Journal of Abnormal Psychology. 2010;119(2):331–340. doi: 10.1037/a0019031. 10.1037/a0019031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  305. Roseth CJ, Pellegrini AD, Bohn CM, Van Ryzin M, Vance N. Preschoolers' aggression, affiliation, and social dominance relationships: An observational, longitudinal study. Journal of School Psychology. 2007;45(5):479–497. 10.1016/j.jsp.2007.02.008. [Google Scholar]
  306. Rothbart MK, Bates JE, editors. Temperament. 6th. Vol. 3. Hoboken, NJ: Wiley; 2006. [Google Scholar]
  307. Rowe R, Maughan B, Worthman CM, Costello EJ, Angold A. Testosterone, antisocial behavior, and social dominance in boys: Pubertal development and biosocial interaction. Biological Psychiatry. 2004;55(5):546–552. doi: 10.1016/j.biopsych.2003.10.010. 10.1016/j.biopsych.2003.10.010. [DOI] [PubMed] [Google Scholar]
  308. Ruiz MA, Pincus AL, Borkovec TD, Echemendia RJ, Castonguay LG, Ragusea SA. Validity of the Inventory of Interpersonal Problems for predicting treatment outcome: An investigation with the Pennsylvania Practice Research Network. Journal of Personality Assessment. 2004;83(3):213–222. doi: 10.1207/s15327752jpa8303_05. 10.1207/s15327752jpa8303_05. [DOI] [PubMed] [Google Scholar]
  309. Russon AE, Waite BE. Patterns of dominance and imitation in an infant peer group. Ethology and Sociobiology. 1991;12(1):55–73. 10.1016/0162-3095(91)90012-F. [Google Scholar]
  310. Ryckman RM, Hammer M, Kaczor LM, Gold JA. Construction of a Hypercompetitive Attitude Scale. Journal of Personality Assessment. 1990;55(3-4):630–639. doi: 10.1207/s15327752jpa6602_15. 10.1207/s15327752jpa5503&4_19. [DOI] [PubMed] [Google Scholar]
  311. Rygula R, Abumaria N, Flügge G, Fuchs E, Rüther E, Havemann-Reinecke U. Anhedonia and motivational deficits in rats: Impact of chronic social stress. Behavioural Brain Research. 2005;162(1):127–134. doi: 10.1016/j.bbr.2005.03.009. 10.1016/j.bbr.2005.03.009. [DOI] [PubMed] [Google Scholar]
  312. Salamone JD, Correa M, Farrar AM, Nunes EJ, Pardo M. Dopamine, behavioral economics, and effort. Frontiers in Behavioral Neuroscience. 2009;3:13. doi: 10.3389/neuro.08.013.2009. 10.3389/neuro.08.013.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  313. Sapolsky RM. Adrenocortical function, social rank and personality among wild baboons. Biological Psychiatry. 1990;28(10):862–878. doi: 10.1016/0006-3223(90)90568-m. 10.1016/0006-3223(90)90568-M. [DOI] [PubMed] [Google Scholar]
  314. Sapolsky RM. Why zebras don't get ulcers. New York, NY: St. Martin's Press; 2004. [Google Scholar]
  315. Schaal B, Tremblay RE, Soussignan R, Susman EJ. Male testosterone linked to high social dominance but low physical aggression in early adolescence. Journal of the American Academy of Child and Adolescent Psychiatry. 1996;35(10):1322–1330. doi: 10.1097/00004583-199610000-00019. 10.1097/00004583-199610000-00019. [DOI] [PubMed] [Google Scholar]
  316. Schaefer ES. Children's reports of parental behavior: An Inventory. Child Development. 1965;36:413–424. [PubMed] [Google Scholar]
  317. Schalling D, Cronholm B, Asberg M. Components of state and trait anxiety as related to personality and arousal. In: Levy L, editor. Emotions: Their parameters and measurement. New York, NY: Raven Press; 1975. pp. 603–617. [Google Scholar]
  318. Schiavone P, Dorz S, Conforti D, Scarso C, Borgherini G. Co-morbidity of DSM-IV personality disorders in unipolar and bipolar affective disorders: A comparative study. Psychological Reports. 2004;95(1):121–128. doi: 10.2466/pr0.95.1.121-128. 10.2466/PR0.95.5.121-128. [DOI] [PubMed] [Google Scholar]
  319. Schmidt PJ, Berlin KL, Danaceau MA, Neeren A, Haq NA, Roca CA, Rubinow DR. The effects of pharmacologically induced hypogonadism on mood in healthy men. Archives of General Psychiatry. 2004;61(10):997–1004. doi: 10.1001/archpsyc.61.10.997. 10.1016/S0306-4530(02)00004-5. [DOI] [PubMed] [Google Scholar]
  320. Schmidt PJ, Daly RC, Block M, Smith M, Danaceau MA, St Clair LS, et al. Rubinow DR. Dehydroepiandrosterone monotherapy in midlife-onset major and minor depression. Archives of General Psychiatry. 2005;62(2):154–162. doi: 10.1001/archpsyc.62.2.154. 10.1001/archpsyc.62.2.154. [DOI] [PubMed] [Google Scholar]
  321. Schmidt PJ, Murphy JH, Haq N, Danaceau MA, St Clair L. Basal plasma hormone levels in depressed perimenopausal women. Psychoneuroendocrinology. 2002;27(8):907–920. doi: 10.1016/s0306-4530(02)00004-5. 10.1016/S0306-4530(02)00004-5. [DOI] [PubMed] [Google Scholar]
  322. Schultheiss OC, Dargel A, Rohde W. Implicit motives and sexual motivation and behavior. Journal of Research in Personality. 2003;37(3):224–230. 10.1016/S0092-6566(02)00568-8. [Google Scholar]
  323. Schultheiss OC, Liening S, Schad D. The reliability of a Picture Story Exercise measure of implicit motives: Estimates of internal consistency, retest reliability, and ipsative stability. Journal of Research in Personality. 2008;42(6):1560–1571. 10.1016/j.jrp.2008.07.008. [Google Scholar]
  324. Schultheiss OC, Wirth MM, editors. Biopsychological aspects of motivation. 2nd. New York: Cambridge University Press; 2008. [Google Scholar]
  325. Schultheiss OC, Wirth MM, Torges CM, Pang JS, Villacorta MA, Welsh KM. Effects of implicit power motivation on men's and women's implicit learning and testosterone changes after social victory or defeat. Journal of Personality and Social Psychology. 2005;88(1):174–188. doi: 10.1037/0022-3514.88.1.174. 10.1037/0022-3514.88.1.174. [DOI] [PubMed] [Google Scholar]
  326. Schultheiss OC, Yankova D, Dirilikvo B, Schad DJ. Are implicit and explicit motive measures statistically independent? A fair and balanced test using the Picture Story Exercise and a cue- and response-matched questionnaire measure. Journal of Personality Assessment. 2009;91(1):72–81. doi: 10.1080/00223890802484456. 10.1080/00223890802484456. [DOI] [PubMed] [Google Scholar]
  327. Schultz W. Midbrain dopamine neurons: A retina of the reward system? San Diego, CA: Elsevier Academic Press; 2009. [Google Scholar]
  328. Seidman SN, Araujo AB, Roose SP, Devanand DP, Xie S, Cooper TB, McKinlay JB. Low testosterone levels in elderly men with dysthymic disorder. Paper presented at the American Psychiatry Association; Chicago, US. 2002. [DOI] [PubMed] [Google Scholar]
  329. Seidman SN, Araujo AB, Roose SP, McKinlay JB. Testosterone level, androgen receptor polymorphism, and depressive symptoms in middle-aged men. Biological Psychiatry. 2001;50(5):371–376. doi: 10.1016/s0006-3223(01)01148-9. 10.1016/S0006-3223(01)01148-9. [DOI] [PubMed] [Google Scholar]
  330. Seidman SN, Orr G, Raviv G, Levi R, Roose SP, Kravitz E, et al. Weiser M. Effects of testosterone replacement in middle-aged men with dysthymia: A randomized, placebo-controlled clinical trial. Journal of Clinical Psychopharmacology. 2009;29(3):216–221. doi: 10.1097/JCP.0b013e3181a39137. 10.1097/JCP.0b013e3181a39137. [DOI] [PubMed] [Google Scholar]
  331. Sellers JG, Mehl MR, Josephs RA. Hormones and personality: Testosterone as a marker of individual differences. Journal of Research in Personality. 2007;41(1):126–138. 10.1016/j.jrp.2006.02.004. [Google Scholar]
  332. Shaffer D, Fisher P, Lucas CP, Dulcan MK, Schwab-Stone ME. The NIMH Diagnostic Interview Schedule for Children, Version 2.3 (DISC 2.3): Description, acceptability, prevalence rates, and performance in the MECA study. Journal of the American Academy of Child and Adolescent Psychiatry. 1996;49:865–877. doi: 10.1097/00004583-199607000-00012. 10.1097/00004583-199607000-00012. [DOI] [PubMed] [Google Scholar]
  333. Shaffer D, Fisher P, Lucas CP, Dulcan MK, Schwab-Stone ME. NIMH Diagnostic Interview for Children Version IV (NIMH DISC-IV): Description, differences from previous versions, and reliability of some common diagnoses. Journal of the American Academy of Child and Adolescent Psychiatry. 2000;39:28–38. doi: 10.1097/00004583-200001000-00014. 10.1097/00004583-200001000-00014. [DOI] [PubMed] [Google Scholar]
  334. Shamlian NT, Cole MG. Androgen treatment of depressive symptoms in older men: A systematic review of feasibility and effectiveness. Canadian Journal of Psychiatry Revue canadienne de psychiatrie. 2006;51(5):295–299. doi: 10.1177/070674370605100505. [DOI] [PubMed] [Google Scholar]
  335. Shaver PR, Segev MA, Mikulincer M. A behavioral systems perspective on power and aggression. In: Shaver PR, Mikulincer M, editors. Human aggression and violence: Causes, manifestations, and consequences. Washington, DC: American Psychological Association; 2011. [Google Scholar]
  336. Sheldon KM, King LA, Houser-Marko L, Osbaldiston R, Gunz A. Comparing IAT and TAT measures of power versus intimacy motivation. European Journal of Personality. 2007;21(3):263–280. 10.1002/per.630. [Google Scholar]
  337. Shiota MN, Keltner D, John OP. Positive emotion dispositions differentially associated with Big Five personality and attachment style. The Journal of Positive Psychology. 2006;1(2):61–71. 10.1080/17439760500510833. [Google Scholar]
  338. Shirtcliff EA, Dahl RE, Pollak SD. Pubertal development: Correspondence between hormonal and physical development. Child Development. 2009;80(2):327–337. doi: 10.1111/j.1467-8624.2009.01263.x. 10.1111/j.1467-8624.2009.01263.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  339. Shirtcliff EA, Granger DA, Booth A, Johnson D. Low salivary cortisol levels and externalizing behavior problems in youth. Development and Psychopathology. 2005;17(1):167–184. doi: 10.1017/s0954579405050091. 10.1017/S0954579405050091. [DOI] [PubMed] [Google Scholar]
  340. Shores MM, Moceri VM, Sloan KL, Matsumoto AM, Kivlahan DR. Low testosterone levels predict incident depressive illness in older men: Effects of age and medical morbidity. The Journal of Clinical Psychiatry. 2005;66(1):7–14. doi: 10.4088/jcp.v66n0102. [DOI] [PubMed] [Google Scholar]
  341. Shores MM, Sloan KL, Matsumoto AM, Moceri VM, Felker B, Kivlahan DR. Increased incidence of diagnosed depressive illness in hypogonadal older men. Archives of General Psychiatry. 2004;61(2):162–167. doi: 10.1001/archpsyc.61.2.162. 10.1001/archpsyc.61.2.162. [DOI] [PubMed] [Google Scholar]
  342. Singh-Manoux A, Marmot MG, Adler NE. Does subjective social status predict health and change in health status better than objective status? Psychosomatic Medicine. 2005;67(6):855–861. doi: 10.1097/01.psy.0000188434.52941.a0. 10.1097/01.psy.0000188434.52941.a0. [DOI] [PubMed] [Google Scholar]
  343. Sjoberg RL, Ducci F, Barr CS, Newman TK, Dell'osso L, Virkkunen M, Goldman D. A non-additive interaction of a functional MAO-A VNTR and testosterone predicts antisocial behavior. Neuropsychopharmacology. 2008;33(2):425–430. doi: 10.1038/sj.npp.1301417. 10.1038/sj.npp.1301417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  344. Sloman L. How the involuntary defeat strategy relates to depression. In: Sloman L, Gilbert P, editors. Subordination and defeat: An evolutionary approach to mood disorders and their therapy. Mahwah, NJ: Lawrence Erlbaum Associates Publishers; 2000. pp. 47–67. [Google Scholar]
  345. Sloman L, Gilbert P, Hasey G. Evolved mechanisms in depression: The role and interaction of attachment and social rank in depression. Journal of Affective Disorders. 2003;74(2):107–121. doi: 10.1016/s0165-0327(02)00116-7. 10.1016/s0165-0327(02)00116-7. [DOI] [PubMed] [Google Scholar]
  346. Sloman L, Price JS. Losing behavior (yielding subroutine) and human depression: Proximate and selective mechanisms. Ethology and Sociobiology. 1987;8(3, Suppl):99–109. 10.1016/0162-3095(87)90022-7. [Google Scholar]
  347. Sloman L, Price JS, Gilbert P, Gardner R. Adaptive function of depression: Psychotherapeutic implications. American Journal of Psychotherapy. 1994;48(3):401–416. doi: 10.1176/appi.psychotherapy.1994.48.3.401. [DOI] [PubMed] [Google Scholar]
  348. Spielberger CD, Gorsuch RL, Lushene RE. Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press; 1970. [Google Scholar]
  349. Spitzer RL, Endicott J. Schedule for Affective Disorders and Schizophrenia- Lifetime Version. NY: New York State Psychiatric Institute; 1979. [Google Scholar]
  350. Stalenheim EG, Eriksson E, von Knorring L, Wide L. Testosterone as a biological marker in psychopathy and alcoholism. Psychiatry Research. 1998;77(2):79–88. doi: 10.1016/s0165-1781(97)00143-1. [DOI] [PubMed] [Google Scholar]
  351. Staugaard SR. Threatening faces and social anxiety: A literature review. Clinical Psychology Review. 2010;30(6):669–690. doi: 10.1016/j.cpr.2010.05.001. 10.1016/j.cpr.2010.05.001. [DOI] [PubMed] [Google Scholar]
  352. Sturman ED, Mongrain M. Entrapment and perceived status in graduate students experiencing a recurrence of major depression. Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement. 2008;40(3):185–188. 10.1037/0008-400x.40.3.185. [Google Scholar]
  353. Susman EJ, Dorn LD, Chrousos GP. Negative affect and hormone levels in young adolescents: Concurrent and predictive perspectives. Journal of Youth and Adolescence. 1991;20(2):167–190. doi: 10.1007/BF01537607. 10.1007/BF01537607. [DOI] [PubMed] [Google Scholar]
  354. Svensson AI, Åkesson P, Engel J, Söderpalm B. Testosterone treatment induces behavioral disinhibition in adult male rats. Pharmacology, Biochemistry, and Behavior. 2003;75(2):481–490. doi: 10.1016/s0091-3057(03)00137-0. 10.1016/S0091-3057(03)00137-0. [DOI] [PubMed] [Google Scholar]
  355. Swallow SR, Kuiper NA. Social comparison and negative self-evaluations: An application to depression. Clinical Psychology Review. 1988;8(1):55–76. 10.1016/0272-7358(88)90049-9. [Google Scholar]
  356. Tangney JP, Burggraf SA, Hamme H, Domingos B. Assessing individual differences in proneness to shame and guilt: The Self-Conscious Affect and Attribution Inventory. Paper presented at the Poster presented at the annual meeting of the Eastern Psychological Association; Buffalo, NY. 1988. [Google Scholar]
  357. Tangney JP, Wagner P, Gramzow R. Proneness to shame, proneness to guilt, and psychopathology. Journal of Abnormal Psychology. 1992;101(3):469–478. doi: 10.1037//0021-843x.101.3.469. 10.1037/0021-843X.101.3.469. [DOI] [PubMed] [Google Scholar]
  358. Tarter RE. Evaluation and treatment of adolescent substance abuse: A decision tree method. The American Journal of Drug and Alcohol Abuse. 1990;16(1-2):1–46. doi: 10.3109/00952999009001570. 10.3109/00952999009001570. [DOI] [PubMed] [Google Scholar]
  359. Tarter RE, Kirisci L, Gavaler JS, Reynolds M, Kirillova G, Clark DB, et al. Vanyukov M. Prospective study of the association between abandoned dwellings and testosterone level on the development of behaviors leading to cannabis use disorder in boys. Biological Psychiatry. 2009;65(2):116–121. doi: 10.1016/j.biopsych.2008.08.032. 10.1016/j.biopsych.2008.08.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  360. Tarter RE, Kirisci L, Kirillova GP, Gavaler J, Giancola P, Vanyukov MM. Social dominance mediates the association of testosterone and neurobehavioral disinhibition with risk for substance use disorder. Psychology of Addictive Behaviors. 2007;21(4):462–468. doi: 10.1037/0893-164X.21.4.462. 10.1037/0893-164X.21.4.462. [DOI] [PubMed] [Google Scholar]
  361. Taylor PJ, Gooding P, Wood AM, Tarrier N. The role of defeat and entrapment in depression, anxiety, and suicide. Psychological Bulletin. 2011;137(3):391–420. doi: 10.1037/a0022935. 10.1037/a0022935. [DOI] [PubMed] [Google Scholar]
  362. Taylor PJ, Mansell W. “I Get So Energetic and Dominating!” A study of hypomanic personality and conflicting self-perception during activated states in a co-operative task. Personality and Individual Differences. 2008;45(6):483–487. 10.1016/j.paid.2008.05.025. [Google Scholar]
  363. Tellegen A. Brief manual for the Differential Personality Questionnaire. Minneapolis, Minn: University of Minnesota; 1982. [Google Scholar]
  364. Tellegen A, Waller NG, editors. Exploring personality through test construction: Development of the multidimensional personality questionnaire The Sage handbook of personality theory and assessment. II. London: Sage; 2008. [Google Scholar]
  365. Thomas C, Turkheimer E, Oltmanns TF. Factorial structure of pathological personality as evaluated by peers. Journal of Abnormal Psychology. 2003;112:81–91. 10.1037/0021-843X.112.1.81. [PMC free article] [PubMed] [Google Scholar]
  366. Toufexis D. Region- and sex-specific modulation of anxiety behaviours in the rat. Journal of Neuroendocrinology. 2007;19(6):461–473. doi: 10.1111/j.1365-2826.2007.01552.x. 10.1111/j.1365-2826.2007.01552.x. [DOI] [PubMed] [Google Scholar]
  367. Tracy JL, Cheng JT, Robins RW, Trzesniewski KH. Authentic and hubristic pride: The affective core of self-esteem and narcissism. Self and Identity. 2009;8(2-3):196–213. 10.1080/15298860802505053. [Google Scholar]
  368. Tracy JL, Robbins RW. The psychological structure of pride: A tale of two facets. Journal of Personality and Social Psychology. 2007a;92(3):506–525. doi: 10.1037/0022-3514.92.3.506. 10.1037/0022-3514.92.3.506. [DOI] [PubMed] [Google Scholar]
  369. Tracy JL, Robbins RW, editors. The nature of pride. Mahweh, NJ: Guilford Press; 2007b. [Google Scholar]
  370. Tremblay RE. Prevention of injury by early socialization of aggressive behavior. Injury Prevention. 2002;8(Suppl. 4):iv17–iv21. doi: 10.1136/ip.8.suppl_4.iv17. 10.1136/ip.8.suppl_4.iv17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  371. Troop NA, Baker AH. The specificity of social rank in eating disorder versus depressive symptoms. Eating Disorders. 2008;16(4):331–341. doi: 10.1080/10640260802115993. 10.1080/10640260802115993. [DOI] [PubMed] [Google Scholar]
  372. Trower P, Gilbert P. New theoretical conceptions of social anxiety and social phobia. Clinical Psychology Review. 1989;9(1):19–35. [Google Scholar]
  373. Trower P, Sherling G, Beech J, Horrop C, Gilbert P. The socially anxious perspective in face to face interaction: An experimental comparison. Clinical Psychology and Psychotherapy. 1998;5:155–166. 10.1002/(SICI)1099-0879(199809)5:3<155::AID-CPP152>3.0.CO;2-K. [Google Scholar]
  374. Tse WS, Bond A. Serotonergic intervention affects both social dominance and affiliative behaviour. Psychopharmacology. 2002;161(3):324–330. doi: 10.1007/s00213-002-1049-7. 10.1007/s00213-002-1049-7. [DOI] [PubMed] [Google Scholar]
  375. Udry JR. Biological predispositions and social control in adolescent sexual behavior. American Sociological Review. 1988;53(5):709–722. 10.2307/2095817. [Google Scholar]
  376. Udry JR. Biosocial models of adolescent problem behaviors. Social Biology. 1990;37(1):1–10. doi: 10.1080/19485565.1990.9988742. 10.1080/19485565.1990.9988742. [DOI] [PubMed] [Google Scholar]
  377. Uhmann S, Beesdo-Baum K, Becker ES, Hoyer J. Specificity of interpersonal problems in generalized anxiety disorder versus other anxiety disorders and depression. The Journal of Nervous and Mental Disease. 2010;198(11):846–851. doi: 10.1097/NMD.0b013e3181f98063. 10.1097/NMD.0b013e3181f98063. [DOI] [PubMed] [Google Scholar]
  378. Umathe SN, Bhutada PS, Jain NS, Dixit PV, Wanjari MM. Effects of central administration of gonadotropin-releasing hormone agonists and antagonist on elevated plus-maze and social interaction behavior in rats. Behavioural Pharmacology. 2008;19(4):308–316. doi: 10.1097/FBP.0b013e328308f1fb. 10.1097/FBP.0b013e328308f1fb. [DOI] [PubMed] [Google Scholar]
  379. Umehara F, Mishima K, Egashira N, Ogata A, Iwasaki K, Fujiwara M. Elevated anxiety-like and depressive behavior in desert hedgehog knockout male mice. Behavioural Brain Research. 2006;174(1):167–173. doi: 10.1016/j.bbr.2006.07.022. 10.1016/j.bbr.2006.07.022. [DOI] [PubMed] [Google Scholar]
  380. US DHHS. International classification of diseases, 9th revision, clinical modification. Washington, DC: 1991. [Google Scholar]
  381. US Drug Enforcement Agency (Department of Justice) Lists of scheduling actions for controlled substances and regulated chemicals. 2009 from http://www.deadiversion.usdoj.gov/schedules/orangebook/orangebook.pdf.
  382. Vacheron-Trystram MN, Cheref S, Gauillard J, Plas J. A case report of mania precipitated by use of DHEA. L'Encéphale. 2002;28(6 Pt 1):563–566. ENC-12-2002-28-6-0013-7006-101019-ART10. [PubMed] [Google Scholar]
  383. van Bokhoven I, Matthys W, van Goozen SH, van Engeland H. Adolescent outcome of disruptive behaviour disorder in children who had been treated in in-patient and day-treatment settings. European Child and Adolescent Psychiatry. 2006;15(2):79–87. doi: 10.1007/s00787-006-0490-2. 10.1007/s00787-006-0490-2. [DOI] [PubMed] [Google Scholar]
  384. van Honk J, Peper JS, Schutter DJ. Testosterone reduces unconscious fear but not consciously experienced anxiety: Implications for the disorders of fear and anxiety. Biological Psychiatry. 2005;58(3):218–225. doi: 10.1016/j.biopsych.2005.04.003. 10.1016/j.biopsych.2005.04.003. [DOI] [PubMed] [Google Scholar]
  385. van Honk J, Schutter DJLG, Hermans EJ, Putman P, Tuiten A, Koppeschaar H. Testosterone shifts the balance between sensitivity for punishment and reward in healthy young women. Psychoneuroendocrinology. 2004;29(7):937–943. doi: 10.1016/j.psyneuen.2003.08.007. 10.1016/j.psyneuen.2003.08.007. [DOI] [PubMed] [Google Scholar]
  386. van Honk J, Tuiten A, Verbaten R, van den Hout M, Koppeschaar H, Thijssen J, de Haan E. Correlations among salivary testosterone, mood, and selective attention to threat in humans. Hormones and Behavior. 1999;36(1):17–24. doi: 10.1006/hbeh.1999.1521. 10.1006/hbeh.1999.1521. [DOI] [PubMed] [Google Scholar]
  387. van Kleef GA, Oveis C, van der Lowe I, LuoKogan A, Goetz J, Keltner D. Power, distress, and compassion: Turning a blind eye to the suffering of others. Psychological Science. 2008;19(12):1315–1322. doi: 10.1111/j.1467-9280.2008.02241.x. 10.1111/j.1467-9280.2008.02241.x. [DOI] [PubMed] [Google Scholar]
  388. Verona E, Patrick CJ, Joiner TE. Psychopathy, antisocial personality, and suicide risk. Journal of Abnormal Psychology. 2001;110(3):462–470. doi: 10.1037//0021-843x.110.3.462. 10.1037/0021-843X.110.3.462. [DOI] [PubMed] [Google Scholar]
  389. Vitacco MJ, Kosson DS. Understanding psychopathy through an evaluation of interpersonal behavior: Testing the factor structure of the interpersonal measure of psychopathy in a large sample of jail detainees. Psychological Assessment. 2010;22:638–649. doi: 10.1037/a0019780. 10.1037/a0019780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  390. Vittengl JR, Clark LA, Jarrett RB. Interpersonal problems, personality pathology, and social adjustment after cognitive therapy for depression. Psychological Assessment. 2003;15(1):29–40. doi: 10.1037/1040-3590.15.1.29. 10.1037/1040-3590.15.1.29. [DOI] [PubMed] [Google Scholar]
  391. Wadsworth ME, Achenbach TM. Explaining the link between low socioeconomic status and psychopathology: Testing two mechanisms of the social causation hypothesis. Journal of Consulting and Clinical Psychology. 2005;73(6):1146–1153. doi: 10.1037/0022-006X.73.6.1146. 10.1037/0022-006X.73.6.1146. [DOI] [PubMed] [Google Scholar]
  392. Walters KS, Hope DA. Analysis of social behavior in individuals with social phobia and nonanxious participants using a psychobiological model. Behavior Therapy. 1998;29(3):387–407. 10.1016/S0005-7894(98)80039-7. [Google Scholar]
  393. Wang C, Cunningham G, Dobs A, Iranmanesh A, Matsumoto AM, Snyder PJ, et al. Swerdloff RS. Long-term testosterone gel (AndroGel) treatment maintains beneficial effects on sexual function and mood, lean and fat mass, and bone mineral density in hypogonadal men. The Journal of Clinical Endocrinology and Metabolism. 2004;89(5):2085–2098. doi: 10.1210/jc.2003-032006. [DOI] [PubMed] [Google Scholar]
  394. Watson D, Friend R. Measurement of social-evaluative anxiety. Journal of Consulting and Clinical Psychology. 1969;33(4):448–457. doi: 10.1037/h0027806. 10.1037/h0027806. [DOI] [PubMed] [Google Scholar]
  395. Watson D, O'Hara MW, Simms LJ, Kotov R, Chmielewski M, McDade-Montez EA, et al. Stuart S. Development and validation of the Inventory of Depression and Anxiety Symptoms (IDAS) Psychological Assessment. 2007;19(3):253–268. doi: 10.1037/1040-3590.19.3.253. 10.1037/1040-3590.19.3.253. [DOI] [PubMed] [Google Scholar]
  396. Weisfeld GE, Wendorf CA, editors. The involuntary defeat strategy and discrete emotions theory. London: Lawrence Erlbaum Associates; 2000. [Google Scholar]
  397. Wheeler L, Miyake K. Social comparison in everyday life. Journal of Personality and Social Psychology. 1992;62(5):760–773. 10.1037/0022-3514.62.5.760. [Google Scholar]
  398. White HR, Labouvie EW. Towards the assessment of adolescent problem drinking. Journal of Studies on Alcohol. 1989;50(1):30–37. doi: 10.15288/jsa.1989.50.30. [DOI] [PubMed] [Google Scholar]
  399. Wicker FW, Payne GC, Morgan RD. Participant descriptions of guilt and shame. Motivation and Emotion. 1993;7:25–39. 10.1007/BF00992963. [Google Scholar]
  400. Wiesner M, Ittel A. Relations of pubertal timing and depressive symptoms to substance use in early adolescence. The Journal of Early Adolescence. 2002;22(1):5–23. 10.1177/0272431602022001001. [Google Scholar]
  401. Wiggins JS. A psychological taxonomy of trait-descriptive terms: The interpersonal domain. Journal of Personality and Social Psychology. 1979;37(3):395–412. [Google Scholar]
  402. Wiggins JS, Trapnell P, Phillips N. Psychometric and geometric characteristics of the Revised Interpersonal Adjective Scales (IAS—R) Multivariate Behavioral Research. 1988;23(4):517–530. doi: 10.1207/s15327906mbr2304_8. 10.1207/s15327906mbr2304_8. [DOI] [PubMed] [Google Scholar]
  403. Williams JM, Dunlop LC. Pubertal timing and self-reported delinquency among male adolescents. Journal of Adolescence. 1999;22(1):157–171. doi: 10.1006/jado.1998.0208. 10.1006/jado.1998.0208. [DOI] [PubMed] [Google Scholar]
  404. Williams RH, Wilson JD. Williams textbook of endocrinology. 9th. Philadelphia: Saunders; 1998. [Google Scholar]
  405. Williams SL, Zane G. Guided mastery and stimulus exposure treatments for severe performance anxiety in agoraphobics. Behaviour Research and Therapy. 1989;27(3):237–245. doi: 10.1016/0005-7967(89)90042-9. 10.1016/0005-7967(89)90042-9. [DOI] [PubMed] [Google Scholar]
  406. Williamson M, Bingham B, Viau V. Central organization of androgen-sensitive pathways to the hypothalamic-pituitary-adrenal axis: Implications for individual differences in responses to homeostatic threat and predisposition to disease. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2005;29(8):1239–1248. doi: 10.1016/j.pnpbp.2005.08.009. 10.1016/j.pnpbp.2005.08.009. [DOI] [PubMed] [Google Scholar]
  407. Windle RC, Windle M. Longitudinal patterns of physical aggression: Associations with adult social, psychiatric, and personality functioning and testosterone levels. Development and Psychopathology. 1995;7(3):563–585. 10.1017/S0954579400006696. [Google Scholar]
  408. Winstok Z. From self-control capabilities and the need to control others to proactive and reactive aggression among adolescents. Journal of Adolescence. 2009;32(2):455–466. doi: 10.1016/j.adolescence.2008.08.006. 10.1016/j.adolescence.2008.08.006. [DOI] [PubMed] [Google Scholar]
  409. Winter DG. Manual for scoring motive imagery in running text. Ann Arbor, MI: Department of Psychology; 1994. University of Michigan. [Google Scholar]
  410. Winter DG, editor. Power motivation revisited. New York: Cambridge Univeristy Press; 1992. [Google Scholar]
  411. Witt EA, Hopwood CJ, Morey LC, Markowitz JC, McGlashan TH, Grilo CM, et al. Donnellan MB. Psychometric characteristics and clinical correlates of NEO-PI-R fearless dominance and impulsive antisociality in the Collaborative Longitudinal Personality Disorders Study. Psychological Assessment. 2010;22(3):559–568. doi: 10.1037/a0019617. 10.1037/a0019617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  412. Wolkowitz OM, Reus VI, Keebler A, Nelson N, Friedland M, Brizendine L, Roberts E. Double-blind treatment of major depression with dehydroepiandrosterone. The American Journal of Psychiatry. 1999;156(4):646–649. doi: 10.1176/ajp.156.4.646. [DOI] [PubMed] [Google Scholar]
  413. Wood RI. Reinforcing aspects of androgens. Physiology and Behavior. 2004;83(2):279–289. doi: 10.1016/j.physbeh.2004.08.012. 10.1016/j.physbeh.2004.08.012. [DOI] [PubMed] [Google Scholar]
  414. Wright F, O'Leary J, Balkin J. Shame, guilt, narcissism, and depression: Correlates and sex differences. Psychoanalytic Psychology. 1989;6(2):217–230. 10.1037/0736-9735.6.2.217. [Google Scholar]
  415. Wyatt R, Gilbert P. Dimensions of perfectionism: A study exploring their relationship with perceived social rank and status. Personality and Individual Differences. 1998;24(1):71–79. 10.1016/S0191-8869(97)00146-3. [Google Scholar]
  416. Yang P, Jones BL, Henderson LP. Role of the alpha subunit in the modulation of GABA(A) receptors by anabolic androgenic steroids. Neuropharmacology. 2005;49(3):300–316. doi: 10.1016/j.neuropharm.2005.03.017. 10.1016/j.neuropharm.2005.03.017. [DOI] [PubMed] [Google Scholar]
  417. Yesavage JA. Geriatric Depression Scale: Consistency of depressive symptoms over time. Perceptual and Motor Skills. 1991;73(3Pt1):1032–1032. doi: 10.2466/pms.1991.73.3.1032. 10.2466/PMS.73.7.1032-1032. [DOI] [PubMed] [Google Scholar]
  418. Young R, Briggs J, Meyer D. A rating scale for mania: Reliability, validity and sensitivity. British Journal of Psychiatry. 1978;133:429–435. doi: 10.1192/bjp.133.5.429. [DOI] [PubMed] [Google Scholar]
  419. Zink CF, Tong Y, Chen Q, Bassett D, Stein JL, Meyer-Lindenberg A. Know your place: Neural processing of social hierarchy in humans. Neuron. 2008;58(2):273–283. doi: 10.1016/j.neuron.2008.01.025. 10.1016/j.neuron.2008.01.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  420. Zitzmann M, Faber S, Nieschlag E. Association of specific symptoms and metabolic risks with serum testosterone in older men. The Journal of Clinical Endocrinology and Metabolism. 2006;91(11):4335–4343. doi: 10.1210/jc.2006-0401. 10.1210/jc.2006-0401. [DOI] [PubMed] [Google Scholar]
  421. Zung WW. A self-rating depression scale. Archives of General Psychiatry. 1965;12(1):63–70. doi: 10.1001/archpsyc.1965.01720310065008. [DOI] [PubMed] [Google Scholar]
  422. Zuroff DC, Fournier MA, Patall EA, Leybman MJ. Steps toward an evolutionary personality psychology: Individual differences in the social rank domain. Canadian Psychology. 2010;51(1):58–66. 10.1037/a0018472. [Google Scholar]

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