Abstract
Women and girls’ engagement in antisocial behavior represents a psychological issue of great concern given the radiating impact that women’s antisociality can have on individuals, families, and communities. Despite its importance and relevance for psychological science, this topic has received limited attention to date and no systematic review of risk factors exists. The present paper aims to systematically review the empirical literature informing risk factors relevant to women’s antisocial behavior, with a focus on adolescence and adulthood. Primary aims are to 1) review empirical literatures on risk factors for female antisocial behavior across multiple levels of influence (e.g., person-level characteristics, risky family factors, and gender-salient contexts) and fields of study (e.g., psychology, sociology); 2) evaluate the relevance of each factor for female antisocial behavior; and 3) incorporate an analysis of how gender at both the individual and ecological level shapes pathways to antisocial behavior in women and girls. We conclude that women’s antisocial behavior is best-understood as being influenced by person-level or individual vulnerabilities, risky family factors, and exposure to gender-salient interpersonal contexts, and underscore the importance of examining women’s antisocial behavior through an expanded lens that views gender as an individual level attribute as well as a social category that organizes the social context in ways that may promote engagement in antisocial behavior. Based on the present systematic review, an integrative pathway model is proposed toward the goal of synthesizing current knowledge and generating testable hypotheses for future research.
Keywords: Female, Gender, Antisocial Behavior, Externalizing, Crime, Pathways, Etiology
Introduction, Conceptual Framework, and Goals
The study of antisocial behavior has traditionally focused on men, as males are overrepresented in the criminal justice system and are significantly more likely to engage in antisocial behavior (Hartung & Widiger, 1998; Rutherford, Alterman, Cacciola, & Snider, 1995). Although arrest rates for men have decreased or remained stable in the last few decades, female arrests have increased (FBI, 2008; Snyder & Sickmund, 2006). The reasons for this pattern are not yet clear, but the trend is concerning and has broad societal implications, because women are often the sole caretakers of offspring (Girshick, 1999; Owen, 1999) and are increasingly central to the economic viability of their communities (e.g., Travis, 2007). Although interest in female antisocial behavior and crime is increasing, the majority of work to date has focused on characterizing women only in reference to whether they differ from men.
A primary goal of the present review is to advance current conceptualizations of female antisocial behavior by providing a critical and integrative analysis of the research on risk factors for antisocial behavior from a gendered perspective. At present, there is a relative dearth of knowledge regarding the role of gender in the manifestation of female antisocial behavior, and no prominent competing models of women and girls’ pathways to antisocial behavior exist. An integrative review of risk factors for antisocial behavior in women and girls has the potential to advance the extant literature by energizing further research and generating novel lines of study aimed at understanding risk for female antisociality. Furthermore, a critical synthesis of the state of the literature is needed to evaluate the strength of the evidence for different risk factors and to advance etiological models with sufficient explanatory power to honor the complexity of antisocial behavior for women and girls. As a means of identifying putative risk factors that have not been emphasized in the psychology literature, but have the potential to yield novel hypotheses about the causes of female antisocial behavior, this review draws on and integrates the expertise of diverse research disciplines. Although it is not common for psychological reviews to incorporate research across disciplines (e.g., sociology, criminology, anthropology, women’s studies) and epistemological perspectives (e.g., based on qualitative and quantitative research) into a unified discourse on etiological factors, we view this approach as not only beneficial, but necessary to develop rich theories about the understudied pathways to female antisocial behavior. To date, no other literature reviews on female antisocial behavior provide this type of extensive, integrative analysis of risk factors from a critical and gendered perspective.
Conceptual Framework
The backbone of this review is a conceptual framework that focuses on multiple levels of influence (e.g., Bronfenbrenner, 1979; Cicchetti & Dawson, 2002) on the development and maintenance of female antisocial behavior. Figure 1 depicts three central levels of analysis, which we have termed person-level characteristics, risky family factors, and gender-salient contexts. While these levels are not necessarily mutually exclusive, they are depicted separately to provide an organizing framework for the ensuing review.
Person-level characteristics
Individual differences on a host of risk factors will determine, at least in part, the extent to which people behave antisocially. Not surprisingly, most conceptualizations of antisocial behavior, especially in the field of psychology, include characteristics that describe individual differences, such as biological and genetic risk, temperament, and personality. These models follow in the tradition of psychopathology research more broadly in that they focus on individual-level tendencies toward antisocial behavior and have gained popularity most recently in the fields of behavioral and molecular genetics (e.g., Caspi et al., 2002). Though these models have largely been examined in relation to men, research indicates that women’s antisocial behavior is also affected by person-level characteristics (e.g., Moffitt, Caspi, Rutter, & Silva, 2001; Pajer, 1998). The consistency of these relationships in women, however, has not been systematically examined to date. One purpose of the present review is to fill this gap in the literature by systematically analyzing the relevance of key person-level characteristics for female antisocial behavior, particularly those risk factors emphasized in existing research, which has focused on men and boys. Our primary research question in this section is: to what extent do person-level characteristics discussed in this review contribute to the antisocial behaviors of women and girls?
Risky family factors
The earliest proximal environment to which individuals are consistently exposed is that of their biological or primary families. Many cross-disciplinary understandings of antisocial behavior incorporate family factors, ranging from parenting styles to abuse experiences (e.g., Rothbaum & Weisz, 1994), with the overarching notion being that families are salient contexts for socialization, teaching and reinforcement of early behaviors, and exposure to critical experiences (e.g., Keenan & Shaw, 1997; Repetti, Taylor, & Seeman, 2002). In the development of our conceptual model, we borrow from Repetti and colleagues’ (2002) risky families framework, which emphasizes the role of families in reinforcing emotional self-regulation, altering physiological/neuroendocrine responses to stress, and increasing the propensity for an angry and hostile interpersonal style. Indeed, Repetti and colleagues’ (2002) model, although not focused on antisocial behavior specifically, is relevant to the current review in that it emphasizes the role of conflict and aggression in families on children’s mental health outcomes. Though risk factors studied in relation to antisocial behavior have traditionally been more specific than the risky families model, it points to the importance of the family context for women and girls’ mental health outcomes. As with person-level characteristics, no systematic review of key family factors for women’s antisocial behavior has been conducted to date. Our primary research question in this section is: to what extent do risky family factors contribute to the antisocial behaviors of women and girls?
Gender-salient contexts
Gender-salient contexts represent environments in which oppressive and gendered social forces are instantiated in ways that have qualitatively different implications for women and girls, and are therefore conceptualized as being “crucial” to the development of antisocial behavior in women. Examining gender-salient contexts represents the most novel contribution of this review and distinguishes our conceptual framework from existing psychological models. Indeed, it is the inclusion of this level of analysis that undergirds the challenge to “expand our lens” in thinking about women’s antisocial pathways. Gender-salient contexts are conceptualized as contexts in which gender norms are highly instantiated, particularly norms related to patriarchal forces and power dynamics. Specifically, gender norms are thought to structure these contexts in ways that systematically marginalize women due to their lower position of power in society and in turn confer differential risk for further antisocial behavior in women relative to men (e.g., Lorber, 1994; Renzetti, Edelson, & Bergen, 2001). These contexts can include interpersonal relationships, experiences of victimization, and engagement in highly gendered activities, such as sex work. To date, research has demonstrated that women who behave antisocially report high levels of exposure to such contexts. However, these contexts have not been conceptualized as risk factors that may initiate or exacerbate women and girls’ antisocial pathways. Though gender norms, by definition, operate in almost all contexts and provide a powerful social push for individuals across gender groups, we characterize gender-salient contexts as risky environments outside of the family that invoke gendered power dynamics and can, in turn, have a salient impact on women and girls’ antisocial pathways. Our primary research question in this section is: what characterizes gender-salient contexts and how might they accord risk for women and girls’ antisocial behaviors? We aim to examine the evidence for this question in the context of a gender-relevant interpretative framework that locates risk in an oppressive and demanding social structure and not solely within the individual and her family. Central to this conceptualization of gender-salient context, as well as an understanding of the model advanced by this review, is that gender operates at multiple levels of analysis.
Conceptualization of Gender and Its Multi-Level Influence
We conceptualize gender as a multi-level category, as described by feminist scholars (e.g., Anderson, 2005; Lorber, 1994; Stacey & Thorne, 1985), that characterizes individuals and structures social norms. Gender as an individual difference variable refers to the typical use of gender as a grouping variable in psychological studies, similar to how one would classify individuals into other biological or social groupings (e.g., blood type AB vs. O). This individualist approach defines gender as a characteristic of the person and attributes gender differences in risk for antisocial behavior to features of the individual, such as a woman’s genetic makeup, aggressive tendencies, or susceptibility to socialization practices1. In contrast, gender as an ecological (or socio-structural) variable conceptualizes gender as part of the social structure and centralizes the social implications attached to biological sex (also called “structuralist” approach; see Anderson, 2005). More specifically, it contends that, “gender is a system of stratification that places women and men into unequal categories, roles, and occupations” (Anderson, 2005; p. 858) and results in the equal treatment of members in the same group (and possibly unequal treatment across groups). Gender as an ecological variable manifests in the form of gender-related norms and power dynamics, which are inextricably embedded in the societal context and operate partly independently of individual motivations.
Our multi-level conceptualization of gender is consistent with the biosocial theory of Wood and Eagly (2002), which integrates biological and socio-structural explanations for sex differences in behavior. Their theory posits that gender roles grew out of biological differences in physical attributes and reproductive abilities between the sexes. These initially influenced the activities that were delegated to each sex in nonindustrial societies. Depending on the social and ecological conditions in those societies, each sex took on the tasks they could more efficiently accomplish (e.g., men’s upper body strength made them more successful at hunting large game). The authors contend that as societies became more industrialized, thus making some aspects of sex specialization unnecessary, these gender roles persisted as “cultural constructions” (p. 709), as they became embedded in the meanings ascribed to the category of gender. Wood and Eagly’s theory highlights the transactional influence of individual-level and social-level factors on men and women’s differential outcomes. Further, Wood and Eagly (2002) speculate that gender socialization pressures (e.g., reinforcing nurturing and aggressive behaviors in girls vs. boys, respectively; Keenan & Shaw, 1997) inform the preferences of girls and boys, and these preferences are instantiated and mutually reinforced by cultural traditions as gender norms.
Thus, gender norms are theorized to represent a set of perceived behavioral and social expectations that are systematically associated with sex-based groups. Even if women differ in the extent to which they are exposed to traditional socialization forces and/or adhere to gender norms and roles, these norms are embedded in social and institutional structures that affect all women and girls. Sexism and patriarchy also represent social-level influences of gender that are rooted in discriminatory practices to the detriment of women. Patriarchy refers to the oppression of women resulting from social structures that accord less power, resources, and control of matters of daily life to women relative to men (e.g., Lorber, 1994). These power dynamics are observed in contemporary societies, including family organization, income disparities, and political representation (Lorber, 1994), and are likely relevant for antisocial behavior. Taken together, the perspective taken in this review is that gender is multifaceted and conceptualizations of female risk should consider the influence of gender as an ecological or socio-structural variable (Anderson, 2005; Lorber, 1994; Stacey &Thorne, 1985; Wasco & Bond, 2010).
Definitions, Distinctions, and Review Methodology
The focus of this paper is on the construct of antisocial behavior, defined as a pattern of norm-violating behaviors marked by a diversity of outcomes, including conduct problems, criminality, and violence/aggression (see Krueger et al., 2002). As a consequence, we review papers that operationalize “antisocial” behavior in different ways, including number of conduct disorder symptoms (e.g., Pajer et al., 2006), diagnosis of Antisocial Personality Disorder (e.g., Goldstein et al., 1996), legal history or arrests (e.g., Snyder & Sickmund, 2006), and scores on relevant inventories (e.g., parent-reported checklists, aggression questionnaires; Arseneault et al., 2003). Although substance use and dependence highly co-occur with, and have effects on, antisocial behavior (e.g., Krueger et al., 2002), a review of the large literature on risk factors for substance use is beyond the scope of the current analysis. In addition, we focus on pathways to antisocial behavior, which we define as interrelationships between different etiological factors that may lead to the development or exacerbation of antisocial behavior. We distinguish this term from the use of the word trajectories, which relates to the patterns in emergence of and desistance from antisocial behavior over the course of development.
This review includes a systematic evaluation of the risk factors impacting women and girls’ pathways to antisocial behavior. Specifically, we conducted a systematic review of the literature on a host of key risk factors informing our three conceptual levels of analysis in relation to women and girls’ antisocial pathways, with a focus on adolescence and adulthood. We focused on studies that evaluate the effects of these risk factors on women and girls in particular. Studies included in this review were selected by searching PsycINFO and Sociological Abstractsfor any study in a peer reviewed source that included a common variant of key terms describing gender (e.g., sex, gender, female, women, or girls) and key terms relevant to any of our risk factors (e.g., heritability, parenting, intimate partner violence). All abstracts of relevant articles were reviewed, and all articles that provided empirical data on the topic are included in this paper, yielding a total of 118 papers. Papers were excluded from our review if results did not inform women and girls’ antisocial behavior in particular (e.g., findings were not reported separately for male and female participants). We have included quantitative, qualitative, and mixed methodologies in this review in order to be inclusive and as a way of promoting complementarity (see Greene, 2007) in our analysis. Importantly, the strength of the evidence for each risk factor will be evaluated to determine whether it is justified to incorporate it into etiological models of female antisocial behavior. These conclusions will be based on a critical evaluation of the state of the literature regarding evidence for risk factors that either increase female antisocial behavior or affect women and girls in qualitatively different ways than men and boys1. As a means of synthesizing the risk factors identified across literatures, this review culminates in a proposed model of pathways to female antisocial behavior that is based in the following empirical review and which emphasizes the influence of person-level characteristics, risky family factors, and gender-salient contexts on women and girl’s antisociality.
There are important sampling characteristics to bear in mind in this review. For instance, research with forensic or high-risk samples provides valuable information about individuals who eventually come in contact with the justice system, although it neglects individuals who engage in antisocial behavior but evade detection, arrest, and/or legal sanctions. Nonetheless, we review studies of individuals with an identified criminal history, because criminal involvement embodies a socially sanctioned and empirically validated definition of antisocial behavior. Also, these studies best represent individuals with extreme manifestations of antisocial behavior. Population-based and longitudinal studies (e.g., Lahey et al., 2006; Moffitt & Caspi, 2001), in contrast, significantly reduce sample bias and inform dynamic processes. However, they are rare, because they require very large sample sizes to capture the relatively low base rates of antisocial behavior in girls and women. Further, they may inadvertently exclude those with highest risk (e.g., street-identified individuals and run-away youth are unlikely to be contacted or participate). To balance the limitations of each approach, the present review examines an array of research with the aim of identifying common patterns across studies with different sampling, design, and methodological approaches as well as processes that may be relatively specific to understanding risk for antisocial behavior in subpopulations of girls and women.
Risk Factors for Female Antisocial Behavior
Female antisocial behavior is a relatively understudied – though growing – area of inquiry. Indeed, one of the most cited findings in the literature on gender and aggression is that men and women diverge in the types of aggression each typically display, with studies suggesting that boys tend to favor overt forms of aggression (e.g., kicking, hitting, punching), whereas girls utilize verbal or even more covert forms of aggression (Bjorkqvist, Lagerspetz, & Kaukianen, 1992; Lagerspetz, Bjorkqvist, & Peitonen, 1988), which involve aggressing within social networks. These latter forms of aggression, referred to by some as relational aggression (e.g., gossiping, refusing friendships, ostracizing; Crick & Grotpeter, 1995), have garnered attention and attuned researchers to the particular ways in which girls may exhibit aggression and hostility (e.g., Werner & Crick, 1999). This review builds on this foundation of examining gender specificity, but focuses specifically on the risk factors that promote overt behaviors considered antisocial, such as other-directed violence.
This section provides a systematic review of the most extensively studied contributors to antisocial behavior, many of which are also pertinent to the development of male antisocial behavior. The purpose of this review is not to conclusively determine whether a given risk factor is more relevant for women relative to men. Rather, examination of the research literature using an integrative perspective is meant to facilitate the generation of etiological pathways to female antisocial behavior that consider multiple levels of risk. A summary of the studies on contributors to antisocial behavior that we evaluated are presented in Table 1, which can be used as a guide to our conclusions on the relevance of each risk factor identified in the literature for female antisocial behavior. Studies that either did not analyze gender or included only males may be cited in the text but not included in the table.
Table 1.
Summary of Empirical Studies | |||||
---|---|---|---|---|---|
Predictors | Authors | Method | Sample | Do the findings evidence risk for female antisocial behavior? |
|
Heritability | • Jacobson, Prescott, & Kendler (2002) | Retrospective | ▪ Female & Male ▪ 2580 adult twin pairs & 1622 unmatched adult twins |
Additive Genetic Effect | YES |
• Rhee & Waldman (2002) | Meta-analysis of 17 twin studies | ▪ Female & Male ▪ Children, adolescents, & adults |
Additive Genetic Effect | YES | |
• Arseneault et al. (2003) | Cross-sectional | ▪ Female & Male ▪ 1116 high-risk child twin pairs |
Additive Genetic Effect | YES | |
• Hudziak et al. (2003) | Cross-sectional | ▪ Female & Male ▪ 14859 child twin pairs |
Additive Genetic Effect | YES | |
• Gelhorn et al. (2005) | Cross-sectional | ▪ Female & Male ▪ 1100 child twin pairs |
Additive Genetic Effect | YES | |
• McGue,Iacono, & Krueger (2006) | Longitudinal | ▪ Female & Male ▪ 1080 adolescents |
Additive Genetic Effect | YES | |
• Hicks et al.(2007) | Longitudinal | ▪ Female & Male ▪ 626 adolescent twin pairs |
Additive Genetic Effect | YES | |
• Maes, Silberg, Neale, & Eaves (2007) | Longitudinal & Retrospective | ▪ Female & Male ▪ 4486 adolescent twin pairs |
Additive Genetic Effect | YES | |
• Van Hulle et al. (2007) | Longitudinal | ▪ Female & Male ▪ 2403 adolescents |
Additive Genetic Effect | YES | |
• Goldstien, Prescott, & Kendler (2001) | Retrospective | ▪ Females only ▪ 971.5 adult twin pairs |
Additive Genetic Effect | YES | |
Genotype | • Widom & Brzustowicz (2006) | Longitudinal | ▪ Female & Male ▪ 600 (300 high-risk) adults |
MAO-A short allele + childhood adversity MAO-A long allele + childhood adversity |
YES NO |
• Frazzetto et al (2007) | Cross-sectional | ▪ Female & Male ▪ 235 (90 high-risk) adults |
MAO-A short allele + early traumatic events MAO-A long allele + early traumatic events |
NO NO |
|
• Wakshlag et al. (2009) | Prospective | ▪ Female & Male ▪ 176 adolescents |
MAO-A short allele + prenatal cigarette exposure MAO-A long allele + prenatal cigarette exposure |
NO YES |
|
• Caspi et al.(2002– Note 30) | Longitudinal | ▪ Females only ▪ 481 adolescents |
MAO-A short allele + childhood maltreatment MAO-A long allele + childhood maltreatment |
YES NO |
|
• Nilsson et al. 2007) | Cross-sectional | ▪ Females only ▪ 114 adolescents |
MAO-A short allele + childhood adversity MAO-A long allele + childhood adversity |
NO YES |
|
• Sjoberg et al.(2007) | Cross-sectional | ▪ Females only ▪ 119 adolescents with varying risk |
MAO-A short allele + childhood adversity MAO-A long allele + childhood adversity |
NO YES |
|
• Ducci et al. (2008) | Cross-sectional | ▪ Females only ▪ 291 (half high-risk) adults |
MAO-A short allele + childhood adversity MAO-A long allele + childhood adversity |
YES NO |
|
• Gokturk et al. (2008) | Cross-sectional | ▪ Females only ▪ 741 (110 high-risk) adults |
MAO-A short allele MAO-A long allele |
NO YES |
|
• Prom-Wormley et al. (2008) | Longitudinal | ▪ Females only ▪ 721 children & adolescents |
MAO-A short allele MAO-A long allele |
YES NO |
|
• Kinnally et al. (2009) | Cross-sectional | ▪ Females only ▪ 159 adults |
MAO-A short allele + low paternal care MAO-A long allele + low paternal care |
NO YES |
|
Personality/Temperament | • Caspi, Henry, McGee, Moffitt, & Silva (1995) | Longitudinal | ▪ Female & Male ▪ 925 children |
Lack of control | YES |
• Guerin, Gottfried, & Thomas (1997) | Longitudinal | ▪ Female & Male ▪ 130 children |
Difficult temperament | YES | |
• Krueger, McGue, & Iacono (2001) | Cross-sectional | ▪ Female & Male ▪ 1180 adults |
Dysconstraint | YES | |
• Miller & Lynam (2001) | Meta-analysis of 59 studies | ▪ Female & Male ▪ Adolescents, & adults |
Psychoticism, low agreeableness, negative emotionality, novelty seeking, low conscientiousness |
YES | |
• Lynam, Leukefeld, & Clayton (2003) | Longitudinal | ▪ Female & Male ▪ 481 adults |
Stability in personality from adolescence to adulthood |
YES | |
• Taylor & Iacono (2007) | Longitudinal | ▪ Female & Male ▪ 827 adolescents |
Dysconstraint, aggression | YES | |
Parenting Style | • Rothbaum & Weiz (1994) | Meta-analysis of 13 studies | ▪ Female & Male ▪ Children & adolescents |
Parental caregiving | YES |
• Brody & Flor (1998) | Cross-sectional | ▪ Female & Male ▪ 156 high-risk children |
Maternal social + financial resources |
YES | |
• Avry, Duncan, Duncan, & Hops (1999) | Longitudinal | ▪ Femal & Male ▪ 204 adolescents |
Parent-child involvement and relations |
YES | |
• Scaramella, Conger, & Simons (1999) | Longitudinal | ▪ Femal & Male ▪ 319 adolescents |
Parental warmth, low hostility, child management skills |
YES | |
• Pettit, Laird, Dodge, Bates, & Criss (2001) | Longitudinal | ▪ Female & Male ▪ 440 adolescents |
Psychological control | YES | |
• Pittman & Chase-Lansdale (2001) | Cross-sectional | ▪ Females only ▪ 302 high-risk adolescents |
Low warmth & supervision |
YES | |
• Gershoff (2002) | Meta-analyses of 11 studies | ▪ Female & Male ▪ Children, adolescents, & adults |
Corporal punishment: Female < Male |
YES | |
• Zhou et al. (2002) | Longitudinal | ▪ Female & Male ▪ 180 children |
Parental warmth & positive expressiveness |
YES | |
• Thornberry, Freeman-Gallant, Lizotte, Krohn, & Smith (2003) | Longitudinal | ▪ Female & Male ▪ Children, adolescents, & adults |
Parental warmth & Consistency |
YES | |
• Eisenberg et al. (2005) | Longitudinal | ▪ Female & Male ▪ 186 adolescents |
Positive parenting | YES | |
• Reitz, Dekovic, & Meiger (2006) | Longitudinal | ▪ Female & Male ▪ 650 adolescents |
Parenting style | YES | |
• Hart, O’Toole, Price-Sharps, & Shaffer (2007) | Cross-sectional | ▪ Female & Male ▪ 124 adolescents |
Parental responsiveness & demandingness |
YES | |
• Manongdo & Garcia (2007) | Cross-sectional | ▪ Female & Male ▪ 91 adolescents |
Maternal supportive parenting |
YES | |
• Jones et al. (2008) | Cross-sectional | ▪ Female & Male ▪ 196 high-risk children |
Maternal warmth | YES | |
• Miner & Clarke-Stewart (2008) | Longitudinal | ▪ Female & Male ▪ 1,364 children |
Mother sensitivity | YES | |
• Blatt-Eisengart, Drabick, Monahan, & Steinberg (2009) | Longitudinal | ▪ Female & Male ▪ 1,364 children |
Maternal intrusiveness | YES | |
• McDonald, Jouriles, Tart, & Minze (2009) | Cross-sectional | ▪ Female & Male ▪ 258 high-risk children |
Parent-child aggression | YES | |
Parental Monitoring |
• Kim, Hetherington, & Reiss (1999) | Cross-sectional | ▪ Female & Male ▪ 654 adolescents |
Parental monitoring | YES |
• Formoso, Gonzales, & Aiken (2000) | Cross-sectional | ▪ Female & Male ▪ 284 high-risk adolescents |
Parental monitoring | YES | |
• Stattin & Kerr (2000) | Cross-sectional | ▪ Female & Male ▪ 703 adolescents |
Parental monitoring | YES | |
• Donenberg, Wilson, Emerson, & Bryant (2002) | Cross-sectional | ▪ Female & Male ▪ 169 high-risk adolescents |
Parental monitoring | YES | |
• Bowman, Prelow, & Weaver (2007) | Cross-sectional | ▪ Female & Male ▪ 135 high-risk adolescents |
Parental monitoring | YES | |
• Fulkerson, Pasch, Perry, & Komro (2008) | Cross-sectional | ▪ Female & Male ▪ 3,250 adolescents with varying risk |
Parental monitoring | YES | |
• Laird, Criss, Pettit, Dodge, & Bates (2008) | Longitudinal | ▪ Female & Male ▪ 504 adolescents |
Parental monitoring | YES | |
• Vieno, Nation, Pastore, & Santinello (2009) | Cross-sectional | ▪ Female & Male ▪ 1,147 adolescents |
Parental monitoring | YES | |
• Windle et al. (2010) | Cross-sectional | ▪ Female & Male ▪ 598 children |
Parental monitoring | YES | |
• Cernkovich, Lanctot, & Giordano (2008) | Longitudinal | ▪ Females only ▪ 109 high- risk adolescents |
Parental monitoring | YES | |
Deviant Peers | • Mears, Ploeger, & Warr (1998) | Cross-sectional | ▪ Female & Male ▪ 1,626 adolescents |
Deviant peers | YES |
• Liu & Kaplan (1999) | Longitudinal | ▪ Female & Male ▪ 2,753 adolescents |
Deviant peers | YES | |
• Erickson, Crosnoe, & Dornbusch (2000) | Longitudinal | ▪ Female & Male ▪ 2,000 adolescents |
Deviant peers | YES | |
• Ardelt & Day (2002) | Cross-sectional | ▪ Female & Male ▪ 121 high-risk adolescents |
Deviant peers | YES | |
• Werner & Silbereisen (2003) | Longitudinal | ▪ Female & Male ▪ 248 adolescents |
Deviant peers | YES | |
• Chapple, Johnson, & Whitbeck (2004) | Cross-sectional | ▪ Female & Male ▪ 309 adolescent runaways |
Deviant peers | NO | |
• Heinze, Toro, & Urberg (2004) | Cross-sectional | ▪ Female & Male ▪ 401 (252 high-risk) adolescents |
Deviant peers | YES | |
• Piquero, Gover, MacDonald, & Piquero (2005) | Longitudinal | ▪ Female & Male ▪ 1600 adolescents |
Deviant peers | NO | |
• Jennings, Maldonado-Molina, & Komro (2010) | Longitudinal | ▪ Female & Male ▪ 3,038 adolescents |
Deviant peers | YES | |
• Hubbard & Pratt (2002) | Meta-analysis of 97 effect size estimates |
▪ Females only ▪ Children & adolescents |
Deviant peers | YES | |
Early Menarche | • Flannery et al. (1993) | Cross-sectional | ▪ Female & Male ▪ 773 adolescents |
Early Puberty | YES |
• Beaver & Wright (2005) | Cross-sectional | ▪Female & Male ▪ 6504 adolescents |
Early Puberty | YES | |
• Ge, Brody, Conger, Simons, & McBride-Murray (2006) | Cross-sectional | ▪Female & Male ▪ 867 adolescents |
Early Puberty | YES | |
• Negriff & Trickett (2009) | Longitudinal | ▪ Female & Male ▪ 454 high-risk adolescents |
Early Puberty | YES | |
• Dick, Rose, Viken, & Kaprio (2000) | Cross-sectional | ▪ Females only ▪ 3065 adolescent twin pairs |
Early Puberty + urban context |
YES | |
• Haynie (2003) | Cross-sectional | ▪ Females only ▪ 5477 adolescents |
Early Puberty | YES | |
• Kaltiala-Heino et al. (2003) | Cross-sectional | ▪ Female & male ▪ 36, 549 adolescents |
Early Puberty | YES | |
• Obeidallah et al. (2004) | Longitudinal | ▪ Females only ▪ 501 adolescents |
Early Puberty + Neighborhood disadvantage |
YES | |
• Burt, McGue, DeMarte, Krueger & Iacono (2006) | Longitudinal | ▪ Female only ▪ 708 mid-adolescent twins |
Early Puberty | YES | |
• Lynne et al. (2007) | Longitudinal | ▪ Female & Male ▪ 1366 early adolescents |
Early Puberty (mediated by association with delinquent peers) |
YES | |
• Susman, Dockray, Schiefelbein, Heaton, Dorn, & Herwehe (2007) | Cross-sectional | ▪ Female & Male ▪ 111 early adolescents |
Early puberty | YES | |
• Negriff, Fung & Trickett (2008) | Cross-sectional | ▪ Female & Male ▪ 454 adolescents |
Early Puberty | YES | |
• Najman, Hayatbakhsh, McGee, Bor, O’Callaghan & Williams (2009) | Longitudinal | ▪ Female & Male ▪ 2,784 adults followed up for 21 years |
Early Puberty | YES | |
• Carter, Jaccard, Silverman & Pina (2009) | Cross-sectional | ▪ Female only ▪ 102 high risk adolescent girls |
Early Puberty + urban context |
YES | |
Sexual Abuse | • Garnefski & Arends (1998) | Cross-sectional | ▪ Female & Male ▪ 1490 adolescents |
Sexual abuse | YES |
• Mason, Zimmerman & Evans (1998) | Cross-sectional | ▪ Female & Male ▪ 396 incarcerated adolescents |
Sexual abuse | YES | |
• Acoca (1999) | Cross-sectional qualitative | ▪Female only ▪ 193 interviews and 956 case file reviews, incarcerated adolescent girls |
Sexual abuse | YES | |
• MacMillan et al. (2001) | Cross-sectional | ▪ Female & Male ▪ 7016 adults |
Sexual abuse | YES | |
• Phan & Kingree (2001) | Cross-sectional | ▪ Female & Male ▪ 272 arrested adolescents |
Sexual abuse | YES | |
• McCabe, Lansing, Garland, & Hough (2002) | Cross-sectional | ▪ Female & Male ▪ 625 high-risk adolescents |
Sexual abuse | YES | |
• Gault-Sherman, Silver, & Sigfusdottir (2009) | Cross-sectional | ▪ Female & Male ▪ 8618 adolescents & young adults |
Sexual abuse | YES | |
• Verona & Sachs-Ericsson (2005) | Cross-sectional | ▪ Female & Male ▪ 5424 adults |
Child abuse | YES | |
• Herrera & McCloskey (2003) | Longitudinal | ▪ Female only ▪ 141 children followed through adolescence |
Sexual abuse | YES | |
• Siegel & Williams (2003) | Longitudinal | ▪ Females only ▪ 411 victims of sexual abuse & 205 matched controls; adults |
Sexual abuse | YES | |
• Bergen, Martin, Richardson, Allison, & Roger (2004) | Cross-sectional | ▪ Female & Male ▪ 7,361 adolescents from 27 schools |
Sexual abuse | YES | |
• Wright, Friedrich, Cinq-Mars, Cyr, & McDuff (2004) | Cross-sectional | ▪ Female only ▪ 3 samples (Ns = 140, 430, and 94) of varying risk |
Sexual abuse | YES | |
• Gunnison & McCartan(2005) | Cross-sectional | ▪ Female only ▪ 131 incarcerated adults |
Sexual abuse | YES | |
• Arata, Langhinrichsen-Rohling, Bowers, & O’Brien (2007) | Cross-sectional | ▪ Female & Male ▪ 1,452 adolescents |
Sexual abuse | YES | |
• Leeb, Barker, & Strine (2007) | Cross-sectional | ▪ Female & Male ▪ 3,487 high-risk adolescents |
Sexual abuse | YES | |
• Cernkovich, Lanctot, & Giordano (2008) | Longitudinal | ▪ Females only ▪ 109 high-risk adults |
Sexual abuse | YES | |
• Hahm, Lee, Ozonoff, & Wert (2010) | Longitudinal | ▪ Female only ▪ 7,576 adults |
Sexual abuse + other types of maltreatment |
YES | |
Romantic Partners/ -Sex Friends | • Seffrin, Giordano, Manning, & Longmore (2009) | Longitudinal | ▪ Female & Male ▪ 1,090 adolescents |
Antisocial romantic partner | YES |
• Arndorfer & Stormshak (2008) | Longitudinal | ▪ Female &Male ▪ 955 adolescents |
Opposite-sex friends | YES | |
• Haynie, Steffensmeier, & Bell (2007) | Longitudinal | ▪ Female & Male ▪ 14,044 adolescents |
Opposite-sex friends | YES | |
• Rebellon & Manasse (2004) | Longitudinal | ▪ Female & Male ▪ 1,725 adolescents |
Opposite-sex romantic partner |
YES | |
• Haynie, Giordano, Manning, & Longmore (2005) | Cross-sectional | ▪ Female & Male ▪ 2,945 adolescents |
Antisocial romantic partner |
YES | |
• Simons, Stewart, Gordon, Conger, & Elder (2002) | Longitudinal | ▪ Female & Male ▪ 236 adolescents |
Antisocial romantic partner |
YES | |
• Moffitt et al. (2001) | Longitudinal | ▪ Female & Male ▪ 211 adults |
Antisocial romantic partner |
YES | |
• Caspi, Lynam, Moffitt, & Silva (1993) | Longitudinal | ▪ Female only ▪ 479 adolescents |
Opposite-sex friends + mixed-sex schools |
YES | |
Intimate Partner Violence |
• Katz (2000) | Longitudinal | ▪ Female only ▪ Waves 1 and 7 of the National Longitudinal Study, adolescents & adults |
IPV | YES |
• Carbone-Lopez et al. (2006) | Cross-sectional | ▪ Female & Male ▪ 16,000 adults |
IPV | YES | |
• Simpson et al (2008) | Cross-sectional mixed-methods | ▪ Female only ▪ 351 adults (forensic sample) |
IPV | YES | |
• Kruttshnitt & Carbon-Lopez (2006) | Cross-sectional qualitative |
▪ Female only ▪ 205 adults (forensic sample) |
IPV | YES | |
• Pettiway (1997) | In-depth qualitative | ▪ Female only ▪ 5 case studies |
IPV | YES | |
Sex Work | • Bertrand & Nadeau (2006) | Qualitative | ▪ Female only ▪ 21 adult women (in treatment) |
Sex work | YES |
• Greiger (2006) | In-depth qualitative | ▪ Female only ▪ 8 case studies (forensic sample) |
Sex work | YES | |
• Johnson (2006) | Cross-sectional | ▪ Female only ▪ 470 adults (forensic sample) |
Sex work | YES | |
• Norton-Hawk (2004) | Cross-sectional | ▪ Female only ▪ 50 adults (forensic sample) |
Sex work + male pimps | YES | |
• Pedersen & Hegna (2003) | Cross-sectional | ▪ Female & Male ▪ 10,828 adolescents |
Sex work | YES | |
• Cusick (2002) | Qualitative | ▪ Female & Male ▪ Youth prostitution |
Sex work | YES | |
• Yacoubian et al (2001) | Cross-sectional | ▪ Female only ▪ 3.587 adults (forensic sample) |
Sex work | YES | |
• Dalla (2000) | In-depth qualitative | ▪ Female only ▪ 43 adult sex workers |
Sex work | YES | |
• Graham & Wish (1994) | Cross-sectional mixed-methods |
▪ Female only ▪ 164 adults (forensic sample) |
Sex work | YES | |
• Sharpe (1998) | In-depth qualitative | ▪ Female only ▪ 40 female sex workers |
Sex work | YES | |
• Kuhns et al (1992) | Cross-sectional | ▪ Female only ▪ 53 sex workers and 47 arrestees |
Sex work | YES |
Developmental Trajectories of Antisocial Behavior
Before discussing specific risk factors, we first provide an overview of the research on developmental trajectories of antisocial behavior that have been identified in the literature in order to summarize the typical patterns of development, maintenance, and desistance of antisocial behavior for girls and women. An extensive body of research by Moffitt and colleagues has identified antisocial trajectories that differentiate individuals who exhibit antisocial behavior consistently over the lifespan (the life-course-persistent trajectory), those who start acting antisocially during their teenage years (the adolescent-onset trajectory), and those who only engage in antisocial behavior in childhood (the childhood-limited trajectory) (Moffitt, 1993; Moffitt & Caspi, 2001; Moffitt, Caspi, Dickman, Silva, & Stanton, 1996; Moffitt, Caspi, Harrington, & Milne, 2002; Odgers et al., 2008; Wiesner & Capaldi, 2003). Although these trajectories were validated on samples composed mostly of boys, continued investigation of these and related trajectories suggest that girls and women exhibit similar patterns of engagement and desistance in antisocial behavior (Bongers, Koot, van derEnde, & Verhulst, 2004; Fergusson & Horwood, 2002; Kratzer & Hodgins, 1999; Moffitt, 1993; Moffitt & Caspi, 2001; Odgers et al., 2008). Indeed, multiple large-scale studies have identified subsets of girls who engage in antisocial behavior in childhood and continue into adulthood (Broidy et al., 2003; Cote, Ziccolillo, Tremblay, Nagin, & Vitaro, 2001; Kratzer & Hodgins, 1999; Lahey et al., 2006; Moffitt, 1993; Schaeffer et al., 2006), as well as those who begin to act antisocially in adolescence (Kratzer & Hodgins, 1999; Lahey et al., 2006; Odgers et al., 2008). Longitudinal research on these patterns of engagement in and desistance from antisocial behavior indicate they have similar predictive validity for psychopathology and violence outcomes in girls and boys (Odgers et al., 2008). These studies have provided valuable information in the prevalence rates of antisocial behavior in girls and generally suggest that fewer girls demonstrate child-onset trajectories (7.5% reported in Odgers et al., 2008), while a greater proportion engage in adolescent-onset trajectories (17% as reported in Odgers et al., 2008). These rates are comparable to those reported in other epidemiological studies and also inform gender differences in prevalence rates. Specifically, girls report fewer antisocial behaviors in early childhood as compared to boys, although this gender gap narrows around age 15 (see Odgers et al., 2008).
Despite this research, some theorists argue that the onset of antisocial behavior is absent in childhood and delayed in girls until they reach adolescence (Silverthorn & Frick, 1999). This theory contradicts the findings of large-scale epidemiological studies as well as research with more targeted, high-risk samples. For instance, longitudinal research conducted with individuals raised in urban and low-socioeconomic environments produced antisocial trajectories consistent with those identified by Moffitt and colleagues (e.g., Aguilar, Sroufe, Egeland, & Carlson, 2000; White & Piquero, 2004). One difference between the trajectories identified using epidemiological versus the smaller, high-risk samples is that girls recruited from disadvantaged contexts were more likely to display childhood-onset antisocial behavior than epidemiological studies would suggest. The higher childhood prevalence rates in high-risk girls is likely explained by the heightened risk associated with disadvantaged environments. Consistent with the theory that antisocial behavior is delayed for girls (Silverthorn & Frick, 1999), however, research indicates that adolescence is a particularly salient developmental period for the onset of female antisocial behavior, because a number of social-level risk factors begin to influence all girls during this period (e.g., Haynie, 2003). As discussed in sections to follow, these social-level processes may exacerbate preexisting childhood risk factors (e.g., poverty/ social disadvantage) or trigger the manifestation of previously unexpressed vulnerabilities (e.g., susceptibility to drug addiction) (e.g., Dick et al., 2000). Research has yet to examine the potential effect of gendered social-level forces on emergence in and desistance from antisocial behavior during different developmental periods.
Person-level Characteristics: The Usual Suspects
The following section examines whether person-level risk factors that have been studied extensively in boys and men may also be relevant for understanding female antisocial behavior. More specifically, the purpose is to review and critically evaluate whether individual difference characteristics traditionally incorporated into theories of male antisocial behavior are common to both genders.
Heritability
A large body of work has focused on the extent to which antisocial behavior is heritable, and research has confirmed that antisocial behavior is indeed partly explained by genetic variation (e.g., Rhee & Waldman, 2002). As reported in Table 1, our literature review identified nine behavioral genetics studies and one meta-analysis of 17 additional behavioral genetics studies that investigated the heritability of female antisocial behavior. All of these investigations indicated that additive genetic effects were associated with antisocial behavior in girls and women, which is notable given their range of methodological approaches (i.e., retrospective, cross-sectional, and longitudinal designs) and sample compositions (i.e., community and high-risk children, adolescents, and adults). Further, several of these studies (e.g., Arseneault et al., 2003, Maes et al., 2007, McGue, Iacono, & Krueger, 2006), including the meta-analysis (Rhee & Waldman, 2002), found that the magnitude of genetic and environmental influences on the development of antisocial behavior did not differ by gender, which indicates that the magnitude of genetic liability in girls and women is comparable to that found in boys and men.
Emerging research looking at how the contribution of additive genetic effects relative to shared and unique environments change across developmental periods are starting to add complexity to the issue of the heritability of female antisocial behavior (Dick et al., 2009; Hicks et al., 2007; Jacobson, Prescott, & Kendler, 2002). For instance, a recent longitudinal investigation of twins found that male externalizing problems were increasingly attributable to genetic variation and heritability from adolescence to adulthood, whereas the trend was toward decreasing effects of genes and increasing effects of environment for women (Hicks et al., 2007). The authors interpreted the finding as signifying greater environmental influence for females than males as they leave the home and are increasingly influenced by partners and peers. This shift in the contribution of heritability to antisocial behavior corresponds to data from a large-scale retrospective study that suggests genetic variation played a greater role in antisocial behavior before age 15 for girls than boys (Jacobson et al., 2002). Given that only a few studies have examined the dynamic effects of heritability across time, the finding that gender moderates the contribution of genetic variation to antisocial behavior in particular developmental periods should be considered preliminary. However, it adds interesting complexity to the contribution of heritability for the development of antisocial behavior across the lifespan and underscores the importance of examining transactional models of risk for female antisocial behavior. In particular, it suggests that environmental influences become increasingly important for understanding female antisocial behavior as girls transition into adolescence and adulthood.
Specific genotypes
Biological sex differences have the potential to influence specific forms of gene expression and transcription throughout the lifespan at multiple levels. For instance, sex hormones impact development as early as prenatal brain growth and continue to affect the anatomy of the brain as it develops (Sjoberg et al., 2008). Adolescence is another potentially critical developmental period in which gender differences in gene regulation may emerge, given the influence of gonadal hormones on the regulation of gene transcription during puberty (Sjoberg et al., 2007). Despite the crucial role gender differences may play in the risk conferred by particular genes, molecular genetic studies with female samples are only recently emerging. Only research on the MAO-A genotype is reviewed in this section, given that it is the only genotype to be rigorously investigated in relation to female antisocial behavior.
Several research groups have found that a combination of childhood maltreatment and the MAO-A short allele predict antisocial behavior in boys (Caspi et al., 2002; Foley et al., 2004; Kim-Cohen et al., 2006; Nilsson et al., 2007; Taylor & Kim-Cohen, 2007; Widom & Brzustowicz, 2006), though some investigations have not replicated this finding (e.g., Prichard, Mackinnon, Jorm, & Easteal, 2008; Young et al., 2006). Until recently, the relationship between childhood maltreatment and the MAO-A gene has been restricted to male samples, making it unclear whether this gene-environment interaction generalizes to girls and women. Our literature search resulted in ten published studies that have examined the effects of MAO-A genotype on antisocial behavior in female samples (see Table 1). Of these studies, four support the generalization of the finding with the MAO-A low activity allele to female antisocial behavior (Caspi et al., 2002 – see Note 30; Ducci et al., 2008; Prom-Wormley et al., 2008; Widom & Brzustowicz, 2006), five conclude that the MAO-A high activity (rather than low) variant is important for understanding antisocial behavior and/or substance use in girls and women (Gokturk et al., 2008; Kinnally et al., 2009; Nilsson et al., 2007; Sjoberg et al., 2007; Wakschlag et al., 2009), and one found no moderating effect of MAO-A genotype for women (Frazzetto et al., 2007). What can be concluded from these studies is that the MAO-A genotype influences antisocial behavior in women. However, conclusions about the specific allelic variant that accords risk (i.e., low versus high activity) are less clear given that about half of the current studies find evidence for low-activity MAO-A while the other half support the high-activity MAO-A as a risk factor in females. Moreover, these studies are fairly matched in their design characteristics, including sample size, use of high risk versus normative (or unselected) samples, and the age groups examined. One distinguishing characteristic among them is that studies supporting the low-activity MAO-A are predominately longitudinal, while those supporting the high-activity MAO-A are cross-sectional. Thus, the different findings may be suggestive of different forms of risk (e.g., current symptoms vs. longitudinal risk). This is an empirical question in need of further validation and studies that can clarify inconsistencies, such as those examining both concurrent and future antisocial behavior in relation to both variants of MAO-A, are greatly needed.
Another possibility is that the inconsistent findings in the literature are the result of skewed data driven by a few outliers (e.g., Risch et al., 2009). For example, Prom-Wormley et al. (2008) found that the MAO-A (long allele) by childhood adversity interaction predicting female antisocial behavior disappeared when the environmental indicator was transformed to reduce skewness. Since similar transforms have not been undertaken in the other genetics studies, it is difficult to know whether outliers are accounting for the observed sex differences in genotype. Inconsistent findings in this literature make the evidence for gender differences in genotype effects at best preliminary and in need of replication before they can be reliably interpreted. Also, gender differences in allelic risk factors from molecular genetics research on antisocial behavior contradict a recent behavioral genetics investigation that examined whether qualitatively different genes influence the expression of antisocial behavior in boys and girls (Van Hulle et al., 2007). Biometric analyses where genetic and environmental variance was modeled in samples of full and half siblings found no support for qualitative differences in the genes contributing to antisocial behavior in girls and boys.
One complication inherent in examining gender differences arises with sex-linked genes like MAO-A. Unlike men, who fall into two MAO-A genotypes (high-high vs. low-low), women have two copies of the X chromosomes and, are thus characterized by three genotypes (high-high, high-low, low-low). The two MAO-A genes in women makes it unclear which allele is inactivated (low or high) in the heterozygous genotype for a particular person and thus how the gene functions (Caspi, personal communication, 2/23/09). Another factor limiting comparative studies on sex differences in genotype effects within population-based studies is the small number of girls and women who engage in antisocial behavior, which restricts sample sizes in population studies from reaching the necessary magnitude for examining gene and geneenvironment effects (e.g., Risch et al., 2009). Consequently, few studies have directly compared gender differences in genotype effects and how environmental factors may mediate genetic effects in gender-specific ways. In sum, the genetics literature is beginning to implicate female-specific genotype effects and gene-environment interactions as contributors to antisocial behavior, though much more research is needed before these findings will be conclusive.
Personality and temperament
Research has examined temperament, or early patterns of behavior thought to reflect biological predispositions to antisocial behavior (Caspi, 2000; Else-Quest, Hyde, Goldsmith, & Van Hulle, 2006; Nigg, 2006). Certain features of infant and early-childhood temperament, such as low levels of inhibitory control and fearlessness predict engagement in antisocial behavior and the development of conduct problems (Caspi, 2000; Nigg, 2006). A recent meta-analysis of young children found girls scored higher on effortful control (i.e., were better able to inhibit inappropriate behavioral responses) than boys, whereas boys scored higher on measures of surgency (i.e., were more active and gained more pleasure from high-intensity experiences; Else-Quest et al., 2006). These findings help explain gender differences in the prevalence of externalizing behaviors. However, research also suggests that, despite these mean-level gender differences in temperament, similar personality characteristics accord risk for female antisocial behavior. For instance, a longitudinal study found that lack of control (i.e., emotional lability, restlessness, short attention span, and negativism) at ages 3 and 5 predicted antisocial behaviors similarly at ages 9 and 11 for both boys and girls (Caspi, Henry, McGee, Moffitt, & Silva, 1995). Similarly, difficult temperament (i.e., fussy, difficult, demanding) at age 3.25 showed positive associations with aggressive and externalizing behaviors through age 12 in both boys and girls (Guerin, Gottfried, & Thomas, 1997).
Research on the correlates of adolescent and adult antisocial behavior also implicates personality in the manifestation of female antisocial behavior. A meta-analysis of 59 cross-sectional studies on personality predictors of antisocial behavior in adolescence and adulthood found that psychoticism, disagreeableness, negative emotionality, novelty seeking, and low conscientiousness best predicted female antisocial behavior (Miller & Lynam, 2001). Across several models and measures of personality, gender only moderated the relation of Eysenck’s Neuroticism dimension to antisocial behavior (more predictive for males than females), indicating that the majority of personality traits are similarly predictive of antisocial behavior in men and women (Miller & Lynam, 2001). Subsequent research has produced similar findings to this meta-analysis, with broad measures of negative emotionality/ low agreeableness and low constraint/low conscientiousness relating strongly to male and female antisocial behavior during adolescence and adulthood (e.g., Krueger et al., 2001; Moffitt et al., 2001). Longitudinal research has confirmed that these personality dimensions predict a portion (approximately 23%) of the stability in antisocial behavior from adolescence to young adulthood in both men and women (Lynam, Leukefeld, & Clayton, 2003). Thus, although gender differences exist in personality traits (e.g., men are lower on constraint and higher on aggression than women; Roberts et al., 2001), making the combination of antisocial-related traits less prevalent in girls relative to boys, girls and women with at-risk personality traits, particularly low agreeableness and low conscientiousness, are more likely than other females to engage in antisocial behavior.
Conclusions of person-level characteristics
Literature on heritability, genotype, and personality/ temperament largely advances evidence that the risk conferred by these person-level characteristics contribute to female antisocial behavior (cf. Moffitt et al., 2001). Because gender norms dictate against antisocial behavior among females, it has been suggested that risk may need to be particularly strong in order to produce antisocial behavior in women and girls (i.e., polygenic multiple threshold model; Cloninger et al., 1978). However, the above review of the literature does not substantiate this conclusion, because we find little evidence that antisocial females are characterized by extreme person-level or biological risk. Instead, female antisocial behavior seems to be affected by similar person-level characteristics as those that affect male antisocial behavior.
However, behavioral genetics research reveals that the relative effects of heritability and environment are dynamic and change across development (e.g., Kendler, Gardner, Annas, & Lichtenstein, 2008) and context (e.g., prosocial versus adverse; Turkheimer, Haley, Waldron, D’Onofrio, & Gottesman, 2003; Tuvblad, Grann, & Lichtenstein, 2005). Evidence is emerging to indicate that gender may moderate these shifting effects, particularly the influence of environmental stressors during adolescence and young adulthood, such that environmental contributors become increasingly important for girls over time (e.g., Dick et al., 2009; Hicks et al., 2007). Thus, adolescence in particular may be a critical period in which gender specificity in environmental risk begins to emerge; a pattern consistent with late-onset developmental trajectories (e.g., Moffitt, 1993). As reviewed in subsequent sections, pubertal development and exposure to gender-salient contexts may mark an important point in girls’ pathways to antisocial behavior, such that person-level vulnerabilities intersect with strong environmental and social influences to accord particular risk for antisocial behavior.
Risky Family Factors
Research and theory has long-maintained that parenting and family-level factors are important for the development of antisocial behavior (e.g., Rothbaum & Weiz, 1994). However, the association between family factors and antisocial pathways for girls in particular has not been the subject of recent systematic review. This section provides a systematic review of some of the most oft-studied family factors in relation to girls’ antisocial behavior, namely parenting styles and parental monitoring. Further, we interpret the effects of family factors within the Risky Families model advanced by Repetti and colleagues (2002), which emphasizes how cold and unsupportive family environments are associated with a host of mental and physical health outcomes. Most relevant for the present review, risky families transact with genetic vulnerabilities, tax the stress response, and promote emotionally and socially maladaptive responses, including conflict and aggression.
Parenting styles
Numerous studies demonstrate that parenting style predicts antisocial behavior among girls, with compelling evidence demonstrated across study type (i.e., two meta-analyses, longitudinal and cross-sectional designs) and sample compositions (e.g., childhood, early, late, and mid-adolescence, high risk and normative), These studies often examine Baumrind’s classic and extended (1972; 1991) parenting taxonomies, sometimes termed under different categories (e.g., authoritarian, authoritative, permissive; positive versus negative parenting). Findings in general suggest that authoritative parenting characteristics are competence-enhancing and are protective of children’s later development of antisocial behavior, whereas authoritarian and, to a lesser extent, permissive parenting, confer risk for the development of antisocial behaviors (Brody & Flor, 1998; Hart, O’Toole, Price-Sharps, & Shaffer, 2007; Jones et al., 2008; Scaramella, Conger, & Simons, 1999).
Importantly, the findings of these studies suggest that parenting style, for the most part, is a gender-common risk factor (Brody & Flor, 1998; Jones et al., 2008). The most recent meta-analysis on this topic concluded that parenting patterns associated with the absence of coercive control and inclusion of guidance and support are negatively associated with boys’ and girls’ externalizing behaviors (Rothbaum & Weisz, 1994). However, this meta-analysis also concluded that maternal parenting in particular has a stronger effect on antisocial behavior among younger boys than girls. This pattern is similar to those advanced in other reviews, which find stronger links for boys between corporal punishment and aggression (Gershoff, 2002), experience of mother-child aggression in violent homes and later externalizing (McDonald, Jouriles, Tart, & Minze, 2009), and maternal parenting challenges (e.g., as a result of maternal psychopathology) and negative outcomes (Connell & Goodman, 2002). Cross-sectional and longitudinal studies conducted since Rothbaum & Weisz’s (1994) meta-analysis find a similar pattern: that parenting confers risk for future antisocial behavior in both girls and boys (Avry et al., 1999; Eisenberg et al., 2005; Reitz, Dekovic, & Meiger, 2006; Thornberry, Freeman-Gallant, Lizotte, Krohwn & Smith, 2003; Zhou et al., 2002), with any gender differences relating to stronger effects of parenting for boys (Miner & Clarke-Stewart, 2008, Thornberry et al., 2003). These stronger effects for boys may be due to mean-level differences, in that boys are more externalizing on average (e.g., Keenan & Shaw, 1997), and girls as a group (in non-forensic samples) experience higher levels of authoritative parenting throughout childhood (Chipman et al., 2000; Russell, Hart, Robinson & Olsen, 2003).
One emerging hypothesis based on our review is that the effects of parenting on boys’ antisocial behavior arises earlier in their development and is more likely to be captured by studies with younger samples, while the effects of parenting on girls’ antisocial behavior may be more delayed. Though evidence for this theory is not conclusive, it is supported by 1) a number of studies that find that the effects of parenting are stronger on boys’ than girls’ antisocial behavior during childhood (e.g., Rothbaum & Weiz, 1994) and 2) three recent studies suggesting that the influence of parenting practices are stronger for girls as they reach adolescence. First, a recent study reported an association between parenting factors and externalizing behavior for older girls and younger boys, suggesting the importance of examining parenting effects for girls later in their development (Blatt-Eisengart et al., 2009). Two other studies found that parental psychological control and supportive parenting were positively and negatively associated, respectively, with externalizing problems moreso in older adolescent girls than boys (Manongdo & Ramirez-Garcia, 2007; Pettit, Laird, Dodge, Bates, & Criss, 2001). Given research reviewed above showing that environmental influences on female antisocial behavior increase with age (Hicks et al., 2007), it seems that parenting affects girls’ antisocial behaviors less immediately, manifesting effects beginning in later adolescence, during which time girls’ are most likely to engage in antisocial behaviors (Odgers et al., 2008). However, few studies have been conducted in this area and more are needed that directly examine gender differences according to developmental period.
Parental monitoring
Parental monitoring, or the degree to which parents are aware of and supervise their children’s activities, has been extensively studied as a risk factor for delinquent behavior in adolescence, with research consistently showing a link between decreased monitoring and increased engagement in antisocial activities (e.g., Stattin & Kerr, 2000). Although a main effect of gender often emerges, with less monitoring of boys than girls (e.g., Barnes, Reifman, Farrell, & Dintcheff, 2000; Knutson, DeGarmo, & Reid, 2004), research has consistently established that a lack of parental monitoring is a risk factor for delinquent behavior among both girls and boys (Bowman, Prelow, & Weaver, 2007; Donenberg, Wilson, Emerson, & Bryant, 2002; Formoso, Gonzales, & Aiken, 2000; Fulkerson, Pasch, Perry, & Komro, 2008; Kim, Hetherington, & Reiss, 1999; Laird, Criss, Pettit, Dodge, & Bates, 2008; Stattin & Kerr, 2000; Vieno, Nation, Pastore, & Santinello, 2009; Windle et al., 2010). As summarized in Table 1, our literature review produced eight cross-sectional and two longitudinal studies informed by a diverse composition of participants, all of which suggested parental supervision decreases antisocial behavior.
A few studies do suggest that the effects of monitoring may be particularly protective for girls, with girls’ greater likelihood to engage in self-disclosure with parents perhaps accounting for this result (Soenens et al., 2006; see Bowman et al., 2007; Formoso et al., 2000; Kim, Hetherington, & Reiss, 1999; Vieno et al., 2010). Thus, there is some evidence to suggest that caregiver involvement in daughters’ lives and closeness in their parent-daughter relationship may be an important protective factor against antisocial behavior in adolescence that enhances the effects of parental monitoring.
Conclusions of risky family factors
Overall, we find that risky family factors are important for understanding female antisocial behavior, as they are in boys. All of the family level factors reviewed in this section inform the extent to which a climate characterized as “risky” increases antisocial behavior, with levels of risk ranging in severity from families with low monitoring and neutral to ineffective parenting styles to families in which members are neglected and harshly disciplined. Our review also suggests that girls’ antisocial pathways may actually be less strongly affected by harsh parenting than that of boys’, especially earlier in development. This emerging hypothesis is based on cross-sectional and longitudinal studies conducted with younger participants that find a stronger effect of parenting style on boys’ antisocial behavior. This pattern may be the result of mean-level differences in antisocial behavior, with boys engaging in more of these behaviors earlier in childhood. Importantly, parenting practices are considered a primary context through which gender norms are learned early in development through socialization processes, such that girls are more likely deterred from antisocial behavior than boys (e.g., Rothbaum & Weisz, 1994). Indeed, the few studies that find stronger effects of parenting on antisocial behavior in girls’ were informed by older samples, suggesting that parenting is a risk factor for girls during developmental periods in which girls are more likely to engage in antisocial behaviors (Odgers et al., 2008). Thus, it may be premature to conclude, based mostly on studies with younger samples, that parenting style matters less for girls.
Taken together, family factors are important in girls’ pathways to antisocial behavior because, first, they are indicators of a cold and unsupportive family climate advanced by the Risky Families Model (Repetti et al., 2002). This family climate reinforces negative coping behaviors, including anger and hostility, which can alter hormonal and stress-linked response systems and contribute to the development of externalizing psychopathology. Moreover, these risky family factors might themselves be highly associated with, and/or interact with, person-level vulnerabilities to promote antisocial behaviors, especially given emerging evidence in support of the influence of gene-environment correlations and interactions on antisocial behavior (e.g., see Caspi & Moffitt, 2006; Jaffee & Price, 2007). In the next section, we focus on other risk factors that function to promote girls’ exposure to risky contexts outside of the family.
Expanding Our Lens: Gender-Salient Contexts
The goal of this subsection is to examine experiences and contexts outside of the immediate family environment to which girls’ and women are exposed. We conceptualize these contexts as “crucial”, because they represent gendered environments in which competing social demands can work to promote girls’ antisociality and aggression. The indicators discussed in this section were selected on the basis of evidence that girls and women are affected by these risk factors in qualitatively different ways (e.g., Cheseny-Lind & Shelden, 2004), and these contexts have been underscored as important by a recent federally sanctioned task force on female antisocial behavior (e.g., see Zahn et al., 2010). Importantly, we argue that these contexts may be salient factors in women’s antisocial pathways because of their high potential to instantiate gender norms, particularly with respect to power and patriarchy. That is, the social push accorded by these gender-salient contexts implicates gendered power dynamics and exemplifies how gender operates outside the individual to shape their antisocial pathways. We note that research in this area is emergent but nevertheless provides rich data on potentially unique contributors to female antisocial pathways that can advance existing psychological theories.
Sexual Abuse and Early Pubertal Development: A Bridge from Person-Level Characteristics & Risky Family Factors to Gender-Salient Contexts
Sexual abuse and early pubertal development are two risk factors that have gained considerable attention in research on female antisocial behavior (e.g., see Zahn et al., 2010). Why might they carry a particularly important function for girls? We propose that their importance lies in the mechanisms through which they accord risk for the promotion of antisocial behavior. That is, they may function as a bridge between earlier risk factors (including person level and risky family factors) and exposure to gender-salient contexts in which gendered processes increasingly affect and promote antisocial behavior.
Childhood sexual abuse
Overwhelmingly, evidence reviewed across studies suggests that sexual abuse experiences confer risk for women and girls’ engagement in antisocial behavior (Arata, Langhinrichsen-Rohling, Bowers & O’Brien, 2007; Cernkovich, Lanctot, & Giordano, 2008; Gault-Sherman, Silver, & Sigfusdottir, 2009; Gunnison & McCartan, 2005; Hahm, Lee, Ozonoff, & Wert, 2010; Herrera & McCloskey, 2003; Hubbard & Pratt, 2002; Leeb, Barker & Strine, 2007; Phan & Kingree, 2001; MacMilan et al., 2001; Mason, Zimmerman & Evans, 1998; McCabe, Lansing, garland & Hough, 2002; Siegel & Williams, 2003; Verona & Sachs-Ericsson, 2005; Wright, Friedrich, Cinq-Mars, Cyr, & McDuff, 2004)2. These studies have used a variety of samples and methods to assess sexual abuse and antisocial behavior, including self, other, and official reports. Further, studies that directly compare the genders are consistent with the idea that abuse history is a female-specific risk factor for antisocial behavior, either because they find a stronger effect for girls or a non-significant effect for boys (see Table 1; see Bergen, Martin, Richardson, Allison, & Roger, 2004; Garnefski & Arends, 1998 for exceptions). Among the most compelling studies are those that prospectively link victimization history with antisocial behavior in girls but not boys (e.g., Widom, 1989), those that examine outcomes over long periods of time (e.g., 20 years; Siegel & Williams, 2003), and those that use appropriate controls to insure internal and external validity (e.g., age and race matched controls; Hahm et al., 2010). This evidence largely corroborates claims made across disciplines espousing the importance of sexual abuse for girls’ antisocial outcomes (e.g., Acoca, 1998; Chesney-Lind & Sheldon, 2004) and lends credit to descriptive studies that find higher rates of sexual abuse and stronger associations to antisocial behavior in female versus male participants (e.g., McClellan et al., 1997). Future work would benefit from further exploring whether the link to sexual abuse for girls is driven by the greater severity and frequency of sexual abuse in girls, especially in normative samples (McClellan et al., 1997), though multi-sample studies with relatively high and low severity and frequency rates continue to evidence the strong link between sexual abuse and antisocial behavior in girls (Wright et al., 2004).
Importantly, sexual abuse can be conceptualized as a risky family factor, falling on the more severe spectrum of risk as compared to unsupportive parenting styles and low parental monitoring. Particularly if sexual abuse occurs within the home (or is related to the overall family dynamic), girls with a history of sexual abuse would likely be characterized by similar developmental outcomes, including poor emotional and behavioral controls, angry interactional styles, and poor mental health outcomes. Undoubtedly, sexual abuse represents an extreme end of the continuum of “risky” families but is nonetheless indicative of numerous factors characterizing risky families, including low levels of monitoring and nurturing, and high levels of neglect.
Besides being part of a risky family pattern, however, sexual abuse may function as a context of risk that promotes exposure to other risky environments and further victimization for women in particular. Evidence for this comes from sociological models of delinquency, which view sexual abuse as a context of risk that can promote exposure to future risky contexts, particularly through running away, and thus become an important bridge to an antisocial lifestyle (i.e., promote the onset of antisocial behavior). A prominent theory by Chesney-Lind indicates that sexual abuse increases the likelihood that a girl will engage in antisocial behavior as an indirect consequence of running away from home, because escaping abuse via running away can lead to engaging in illegal behaviors to survive on the streets (Chesney-Lind &Shelden, 2004). At a descriptive level, girls and women consistently report running away from home to escape victimization and do so across high and normative risk samples, assessed using quantitative and qualitative methods (Acoca, 1999; Dixon, Howie & Starling, 2005; Katz, 2000; Siegel & Williams, 2003). Adding more compelling etiological evidence, prospective links between girls’ sexual abuse and running away has been established in several studies, including longitudinal ones (Kaufman & Widom, 1999; McCormak, Janus, & Burgess, 1986; Tyler, Johnson, & Brownridge, 2008; Widom & Ames, 1994). While runaway boys are also characterized by antisocial behavior, girls’ antisocial behavior has been shown to emerge after running away from home, whereas boys’ delinquency emerged before their first time running away (Chapple, Johnson, & Whitbeck, 2004). Indeed, this evidence suggests that running away from home is a qualitatively different risk factor for girls because it contributes to the onset of their antisocial behavior. Empirical work evidences this pattern by linking girls’ running away from home to exposure to subsequent street victimization (Thrane, Hoyt, Whitbeck, & Yoder, 2006), sex work experiences (e.g., Simons & Whitbeck, 1991), drug distribution (Morgan & Joe, 1996; Steffensmeier & Allan, 1996), and engagement in violence with deviant male partners (e.g., Chesney-Lind & Shelden, 2004; Seffrin et al., 2009). Thus, the cumulative risk conferred by sexual abuse, namely reduction in social competence, skill building, and emotional processing combined with the urge to escape through running away, appears to be a key contributor to later exposure to contexts of risk and the promotion of antisocial behavior.
Early pubertal development
Pubertal development is a key marker not only of girls’ bio-sexual maturation, but also of their social maturation, including through heightened gender role expectations. As with sexual abuse, early menarche may also function as an important bridge to antisocial behavior. That is, early puberty can be influenced by individual and family vulnerabilities and, in turn, can facilitate gravitation toward, and exposure to, gender-salient contexts that work to promote antisocial behavior.
There is clear evidence that the timing of puberty is important to women and girls’ antisocial pathways, A number of studies, including prospective studies using both high-risk and normative samples, have evidenced that girls who develop early (before age 10 or 11) are more likely than their average-onset counterparts to begin and maintain engagement in antisocial behavior (Flannery et al., 1993; Ge, Brody, Conger, Simons, & McBride-Murray, 2006; Haynie, 2003; Kaltiala-Heino et al., 2003; Lynne et al., 2007; Najman et al., 2009; Negriff & Trickett, 2009; Negriff, Fung, & Trickett, 2008; Susman et al., 2007; Susman et al., 2010). Thus, existing studies reveal a consistent pattern, which evidences that early-developing girls are at increased risk for antisocial behavior.
Early pubertal development is itself affected by person-level and risky family factors. Indeed, several biological and environmental factors, including genes, neuroendocrine levels, family conflict and childhood adversity, may contribute to the early onset of menarche in girls (see Susman & Dorn, 2009). For instance, one study found a prospective link between family conflict and paternal absence during childhood and early pubertal development among girls (Moffitt, Caspi, Blesky, & Silva, 1992). The authors noted that genetic transmission also likely played a significant role in determining the onset of menarche in girls, given that daughters often displayed similar developmental patterns as their mothers (Cambell & Udry, 1995). More recently, the relationship between the X-linked androgen receptor (AR) gene, father absence, and menarche onset has been examined (Comings, Muhleman, Johnson, & MacMurray, 2002), with results supporting the importance of both genetic transmission and environmental influences on pubertal development. Specifically, the short allele of the AR gene polymorphism was associated with father absence and age of menarche in girls. These findings suggest that fathers who carry this gene may indirectly transmit risk for antisocial tendencies to their daughters indirectly via their absence and the effects of genes on early menarche in girls (Comings et al., 2002). Consistent with this latter study showing the importance of the father-daughter relationship, another study found a significant association between childhood sexual abuse and early menarche in an ethnically diverse sample of women but only when the perpetrator was the father and not a stranger or acquaintance (Zabin, Emerson, & Rowland, 2005). Further supporting the importance of family level factors on pubertal timing, Ellis (2004) has theorized that pubertal timing is determined by the composition and quality of family environments. According to Ellis, childhood will be shortened and puberty accelerated in environments that are developmentally adverse or stressful. Thus, risky genes and family factors seem to confer risk for early menarche, which itself is a risk factor for female antisocial behavior.
Importantly, emerging research suggests that early pubertal development can promote the onset of antisocial behavior through exposing girls to other risky contexts subsequent to puberty. Indeed, girls with early menarche are thought to experience pressure to engage in more mature social roles than they are emotionally and cognitively prepared for once they undergo the physical changes associated with puberty (Eichorn, 1975). Research also suggests that parents, like peers and strangers, have different expectations for daughters who develop early, and give physically developed daughters more responsibility and autonomy than their later-developing counterparts (Silbereisen & Kracke, 1997). The inappropriate social expectations of others are thought to increase the access girls have to contexts in which they can engage in delinquent and risky behaviors (Haynie, 2003). This suggests early puberty also influences girls’ contexts in important ways. In support of this, a longitudinal behavioral genetics study found that shared environmental factors promote antisocial tendencies for early-developing girls, whereas genetic factors promote antisocial tendencies for average-developing girls (Burt, McGue, DeMarte, Krueger, & Iacono, 2006). This suggests that environmental factors may exacerbate antisocial behavior for girls who experience early menarche. Other studies lend support to this notion, finding that the risk for girls’ antisocial behaviors are strongest for those with a combination of early pubertal development and residence in an urban context (Carter, Jaccard, Silverman, & Pina, 2009; Dick, Rose, Viken, & Kaprio, 2000; Obeidallah et al., 2004) engagement with delinquent peers (Lynne et al., 2007) or attendance at mixed-sex schools (Caspi, Lynam, Moffitt, & Lynam, 1993). Further, early pubertal development is related to having older sexual partners and higher rates of teenage pregnancy (Magnusson, Stattin, & Allen, 1986; Manlove, 1997; Moffitt et al., 2001). Though research in this area is relatively new, the existing evidence comes from both prospective and cross-sectional studies including high risk and normative samples. Together, it suggests that age of pubertal onset predicts rates of antisocial behavior (including violence) more strongly for girls from disadvantaged contexts, such as high rates of poverty, public assistance, and unemployment (e.g., a threefold increase in risk; Obeidallah et al., 2004).
In sum, evidence for the importance of pubertal onset on girls’ antisocial pathways is limited, but consistent, suggesting a process in which biological development interacts with contextual factors to influence antisocial behavior. The research shows that stressful and opportunistic environments, such as neighborhood disadvantage and mixed-sex schools, exacerbate the effects of early pubertal development on the engagement in antisocial behavior for girls. In our perspective, “gender” may become more apparent following puberty, as it ultimately changes the social meaning ascribed to being a female and amplifies the salience of gender roles and norms (Wood & Eagly, 2002).
Gender-Salient Contexts Characterized by Power and Patriarchy
This subsection describes environments that have the potential to confer female-specific risk for antisocial behavior to the extent that the opportunities and resources afforded to women and girls who are embedded in these contexts are heavily dictated by gendered social forces related to power and patriarchy. In particular, these contexts illustrate how gendered power dynamics that operate outside the individual can shape the development and maintenance of female antisocial behavior.
Opposite-sex peers and romantic partners in adolescence
Research has identified affiliations with deviant peers in childhood and adolescence as an important predictor in the manifestation of antisocial behavior (Dishion, Patterson, & Griesler, 1994; Fergusson & Horwood, 1996; Giordano, Cernkovich, & Pugh, 1986; Haynie, 2001; Sampson & Laub, 1993). Although most studies have focused on the effects of deviant peers on boys, our review identified seven empirical investigations and one meta-analysis that examined the influence of deviant peers on female antisocial behavior (see Table 1). Seven of these studies, including four longitudinal and three cross-sectional studies that sampled across high-risk and community youth, found that affiliation with deviant peers increase delinquent behavior among girls (Ardelt & Day, 2002; Erickson, Crosnoe, & Dornbusch, 2000; Heinze, Toro, & Urberg, 2004; Jennings, Maldonado-Molina, & Komro, 2010; Liu & Kaplan, 1999; Mears, Ploeger, & Warr, 1998; Werner & Silbereisen, 2003). One exception to this pattern of findings is a longitudinal study of 1600 unselected youth that found a significant effect of deviant peers on engagement in antisocial behavior for adolescent boys but not adolescent girls (Piquero, Gover, MacDonald, & Piquero, 2005). However, this study limited their investigation of antisocial behavior to vandalism and petty thefts, which restricts the generalizability of these findings to the influence of deviant peers on minor delinquent acts among unselected girls. Aside from this finding, the preponderance of evidence suggests that affiliation with delinquent peers is one of the strongest predictors of antisocial behavior for girls, as demonstrated by a meta-analysis of 97 effect sizes gathered from studies on female antisocial behavior (mean effect size .53; Hubbard & Pratt, 2002).
Deviant peers in general, however, may not be as important to female antisocial pathways across time as are opposite-sex peers and partners in particular. Adding to the specificity of the literature on peers, evidence cited in Table 1 suggests that adolescent girls who associate with opposite-sex peers are at a heightened risk for antisocial behavior relative to adolescent boys. One of the most compelling sources of evidence comes from a recent large-scale, longitudinal study with over 14,000 adolescents, which found that affiliation with opposite-sex peers increased serious violent offending in girls but decreased serious violence in boys (Haynie, Steffensmeier, & Bell, 2007). Other longitudinal work supports this finding (Moffitt et al., 2001; Rebellon & Manasse, 2004; Seffrin, Giordano, Manning & Longmore, 2009; Simons, Stewart, Gordon, Conger, & Elder, 2002), which is also echoed by recent theorizing in this area (Ehrensaft, 2005). Indeed, despite the fact that this is a relatively new area of investigation, the evidence to date is compelling and informed by primarily prospective, large-scale, comparative studies. The consistent implication from these studies has been that association with opposite-sex romantic partners and peers, especially if they are characterized as delinquent, increase girls’ risk for engagement in antisocial behaviors by promoting both the onset and maintenance of antisociality.
One theory advanced by this review is that engagement with opposite-sex partners is an important point in girls’ antisocial pathways, because it creates a context in which antisocial behaviors may be directly encouraged or promoted. In support of this, evidence from longitudinal work reveals that the effect of having an antisocial partner on criminal behavior was twice as large in women as men (Simons et al., 2002). Further, research shows that the stability of antisocial behavior from adolescence to adulthood is moderated by the presence of an antisocial romantic partner in women (Moffitt et al., 2001). The effect of a deviant romantic partner, in particular, appears to emerge in adolescence and to be greater for girls and women than boys and men, highlighting the importance of the interpersonal context for women and girls (Haynie, Giordano, Manning, & Longmore, 2005; Leverentz, 2006). This relationship seems further exacerbated in girls who are not monitored by their parents (Svensson, 2003), and girls who experience early, compared to later, menarche, as discussed above, given that they are influenced by older boyfriends at an earlier age (Stattin & Magnusson, 1990; Westling, Andrews, Hampson, & Peterson, 2008). Association with opposite-sex romantic partners may also expose girls to intimate partner violence and promote dynamics that place girls and women at further risk for antisocial behavior. These dynamics are further explored and elaborated below.
Intimate partner violence and sex work
Women’s engagement in intimate partner violence (IPV) and sex work is directly reflected in national arrest profiles underscoring their importance as female-relevant antisocial behaviors (FBI, 2008), and research with high-risk participants suggest that these are among the only contexts in which women’s antisocial behavior frequency parallels that of men (e.g., Archer, 2000; Katz, 2000). These contexts are different from the risk factors described thus far, because they often represent contexts within which women are both antisocial and victimized. Though IPV and sex work are often not studied as risk factors for women’s antisocial behavior, these experiences are common among antisocial women (Snell & Morton, 1994). Of particular importance is research that suggests that when women and girls engage in antisocial behaviors, particularly violence, they do so against their intimates (e.g., Archer, 2000; Miller & Meloy, 2006; Pajer, 1998; Snell & Morton, 1994). In support of this pattern, males who engaged in intimate partner violence are more likely to demonstrate patterns of general violence across contexts, whereas females show a more discriminate pattern of violence contained within relationships (Bouffard et al., 2008; Cogan & Fennel, 2007; Feder & Henning, 2005). Arrest data provide further corroboration, demonstrating that a significant proportion of women’s violent offending is perpetrated against male partners (e.g., see dual arrest data by Henning & Feder, 2004).
Important to the goals of this review, other evidence is emerging to demonstrate that violent interpersonal contexts give rise to other forms of antisocial behavior among women and serve to exacerbate female antisocial pathways (Capaldi & Owen, 2001; Kruttschnitt & Carbon-Lopez, 2006). In-depth qualitative work has highlighted a prospective pathway, demonstrating that experiences of IPV precedes and exacerbates women’s involvement in future antisocial behavior, including sex work, drug use, and fraud (DeKeseredy, Saunders, Schwartz, & Alvi, 1997; Pettiway, 1997; Muftic & Bouffard, 2007; Simpson et al., 2008). For example, Simpson and colleagues (2008) found that, for women without prior offense histories, experiences of violent victimization were associated with entrance into the criminal justice system. Similarly, intimate partner violence was a robust predictor of women’s future aggression and violence perpetration against their partners in both longitudinal quantitative (Katz, 2000) and qualitative research (Miller, 2008).
Importantly, the aforementioned studies demonstrate a link between IPV and women’s engagement in, and exacerbation of, antisocial behavior. Other research suggests that IPV experiences have more severe negative consequences for women than men (including physical injury and negative psychological outcomes; Renzetti, Edelson, & Bergen, 2001), which may serve as traumatic experiences that confer risk for subsequent antisocial behavior (e.g., drug addiction; Pettiway, 1997). Indeed, the same meta-analysis that found evidence for bi-directionality of violence also revealed that, though women are slightly more likely to use an act of physical aggression, they are also more likely to sustain an injury or require medical attention (Archer, 2000). This finding has been further corroborated by more recent large-scale investigations of epidemiological samples (Carbone-Lopez et al., 2006; Ehrensaft, Moffitt, & Caspi, 2004; Saunders, 2002). Further, IPV and related legal trouble weaken women’s informal support networks by physically removing them from these networks (Trotter & Allen, 2009). The effects of traumatization, physical injury, and loss of social support are argued to be particularly relevant for maintaining or exacerbating female pathways into antisociality (e.g., Acoca, 1998).
A similar pattern emerges in relation to sex work, though in contrast to IPV, women engage in sex work more frequently than men (e.g., Burnette et al, 2008). In addition to constituting antisocial (and usually illegal) activity in and of itself, research primarily informed by cross-sectional studies has demonstrated that engagement in sex work is associated with engagement in other antisocial behaviors, including street violence, property crime, robbery, larceny (Dalla, 2000; Geiger, 2006; Willis & Rushforth, 2003), and drug crimes (Graham & Wish, 1994; Johnson, 2006; Spice, 2007; Kuhns et al., 1992; Sharpe, 1998; Yacoubian et al., 2001). Often stemming from previous engagement in status offenses, such as running away from home (e.g., Dalla, 2000, Spice, 2007), sex work has been shown to lead to further illegal activity, including drug use, failing to register with the police, and theft (Pheterson, 1993). A recent qualitative review underscores the link between youth prostitution and other antisocial behaviors, including status offenses, criminal acts such as property crime, and substance use (Cusick, 2002). Subjective accounts of adult female offenders also highlight at least three relevant sex work pathways for women, including sex work to support substance use for women engaging in early-onset pathways, sex work as a profession that places women at risk for later antisociality (including engaging in violence, theft), and episodic and temporary engagement in sex work without as much consequence for chronic antisocial behavior (Bertrand & Nadeau, 2006). Though more longitudinal evidence is needed to specify these temporal relations between the initiation of sex work and engagement in other forms of antisocial behavior, the aforementioned studies suggest that sex work plays an important role in the maintenance of women’s antisocial pathways.
There are multiple ways in which IPV and sex work illustrate the effects of gender at a contextual level in the development of female antisocial behavior. In many ways, interpersonal relationships and sex work can be conceptualized as manifestations of the objectification of women and instantiation of a patriarchal system. For some female runaways, once on the street, sex work is clearly connected to relationships with men and interpersonal violence. Cusick (2002) uncovered that the most common routes to female prostitution for youth are through introduction by a friend and being groomed and later pimped by a romantic partner. The system of prostitution is particularly characterized by male dominance, according to most accounts, including control by predominately male pimps, police, and customers (Steffensmeier & Allan, 1996). Within the context of prostitution, this hierarchy is more pronounced than what is observed in even traditional male-female relationships (i.e., male pimps directly control female prostitutes), and acts of male violence are a commonplace strategy characterizing this control (Stark & Hodgson, 2003). It has been documented that batterers and pimps use similar techniques of control as classic coercive control batterers (Dutton & Goodman, 2005), such as social isolation, economic exploitation, intimidation, threats, blackmail, and use of physical/sexual violence (Stark & Hodgson, 2003). These relationship dynamics work to maintain the woman as a conforming actor in the relationship over time and to isolate her socially from other support or resource networks (Lebloch & King, 2006), which increases the likelihood of further engagement in antisocial behavior. In addition, women under the control of a pimp are at greater risk of violence (Norton-Hawk, 2004), and women engaging in sex work in general also experience violence from the men who hire them, further reinforcing their isolation and the consequences of victimization. In one study, almost all female prostitutes reported constantly being threatened with male violence, and the majority had experienced multiple forms of such violence (Barnard, 1993). This furthers and reinforces a cycle of victimization and antisocial behavior salient for women’s pathways.
Implications of gender-salient contexts for the effects of gender as an ecological variable
It is important to recognize that few studies (reviewed above) have directly examined, particularly within quantitative paradigms, the effect of gender-salient contexts on women’s antisocial behaviors. However, in depth qualitative work (through both interview, observation, and ethnographic methods) has served to illuminate that these experiences are salient in women’s narratives regarding the emergence of their antisocial behaviors. In addition, by focusing on these contexts of risk, namely IPV and sex work, we do not mean to imply that women’s violence is explicitly interpersonal or sexual in nature. Rather, our aim is to use these as illustrations of the effects of gender norms and patriarchy on women’s pathways and advance emerging theory by proposing possibilities for why and how gender-salient contexts can serve to promote women’s antisocial behavior. We argue that gender-salient contexts accord risk in that they are inherently oppressive for women, characterized by gender norms, patriarchal forces and impossible demands that can systematically place women in social binds that work to promote antisocial behavior, making the experience and impact of these contexts essentially gendered (Lorber, 1994). Importantly, this interpretative analysis begs the question: how might gender structure women’s social worlds and work to promote women’s antisocial behaviors? We propose that gender is relevant as a socio-structural variable for antisocial behavior, because it (a) organizes interpersonal context more specifically and, (b) organizes opportunity structures and social demands more broadly.
Interpersonal contexts and women’s social power
Women's antisocial behaviors, especially violence, can be examined by virtue of how women’s subjugated roles within interpersonal contexts can create a set of circumstances that promotes antisocial pathways. These subjugated roles reflect the “cultural constructions” of sex typed roles described by Wood and Eagly (2002) and are an essential aspect of an analysis of how gender structures interpersonal contexts (Anderson, 2005). They are further corroborated by continuing evidence of gender inequality in interpersonal relationships, including women’s lower power, greater risk of physical harm, and economic dependence on male partners (Bornstein, 2006; Campbell et al., 2003; Tjaden & Thoennes, 2000).
Research documenting the particular link between women’s marginalized roles and antisocial behavior is very limited to date, but is an important emerging area that can begin to inform future research and theory (see Brown, 2003; Brown, Chesney-Lind, & Stein, 2007; Jones, 2008; Miller, 2001; Miller, 2008). Miller’s (2008) in-depth ethnographic study of young men and women describes such dynamics well. Her study examines the context of dating relationships in urban neighborhoods and, through studying young men and women’s social interactions, Miller identifies socio-structural patterns that influence girls’ violent acts as they emerge within their relationships. Specifically, Miller identifies a pattern whereby girls use violence against their partners in response to their partner’s actual or potential infidelity. She calls this dynamic part of the “playa (player) ethos”, which involves the sexual objectification and conquest of women and grants males social status by virtue of the number and nature of sexual partnerships they acquire. At the same time that boys gain status for multiple relationships, however, girls lose status as their behavior is subject to a sexual double standard that sanctions unconstrained sexuality. In Miller’s analysis, the boys’ gain (in status) is girls’ loss (of her partners’ fidelity) and reminds girls that they do not have the same social freedom with which to navigate and negotiate their relationships.
Miller identifies a second gender norm that is also an important aspect of the social fabric that promotes girls’ violence. Termed the “cool pose”, this norm devalues committed relationships in boys and promotes a mask of emotional detachment and aloofness by boys toward their dating partners. A gendered dynamic emerges as girls confront partners about their commitment or potential infidelity (fueled by the playa ethos), often with a motivation to seek reassurance about boys’ attachment to them, and are met with a “cool pose” that provides them the opposite of what girls are often seeking (i.e., conveys detachment when girls’ report that they are seeking attachment). Thus, girls’ violence toward their partners and rival women in response to the playa ethos and cool pose serves a particular social purpose and conveys particular social meanings for girls and their partners. Though a single exemplar, this ethnography is rigorous in its design, partly due to the credibility of relationships established between the researcher and participants, and uses a variety of qualitative methods, including interviews and observations (Guba & Lincoln, 2000). In addition, though participants were women of color residing in an urban context, a similar gendered pattern revolving around the salience of interpersonal contexts for women’s outcomes has been documented in ethnographic work with other populations (e.g., middle and upper class suburban white women; see Chase, 2008), underscoring the impact of gender norms across distinct social locations.
This treatment of gender as a contextual reality is distinct from its treatment as an individual level attribute. First, gender is seen as a characteristic of the context and is viewed as powerful regardless of the extent to which a given individual identifies as ‘gendered’ (e.g., masculine, feminine). Second, women’s antisocial behavior is thought to emerge not only because, for instance, male infidelity is a ‘risk factor’ for young women’s use of violence; rather, male infidelity is viewed as a product of a social structure that is characterized by the marginalization of women and girls (and their expressed desires and needs). Thus, girls’ use of violence in this context has less to do with characteristics of the girls and much to with the social power they inherit within the interpersonal space, the purposes their violent acts serve, and the antecedents that give their violence social meaning.
Opportunity structures and social binds
Beyond the interpersonal context, women's antisocial behaviors can be situated by virtue of how they emerge in response to the demands and opportunities embedded in the social contexts they navigate. Some recent research has demonstrated how aspects of the social context can produce particular social pressures, limit girls’ viable opportunities, and give rise to antisocial behavior such as violence. Drawing from classic feminist (e.g., de Beauvoir, 1949; Friedan, 1963; also see Lorber, 1994) and recent psychological conceptualizations (Hinshaw & Kranz, 2010), women’s social opportunities have been classified as being “bound” by competing and unrealistic social demands that can work to give rise to negative psychological outcomes, including antisocial behavior (e.g., Hinshaw & Kranz, 2010). Collectively termed “double” or “triple” binds, these social forces denote the competing gendered demands on women by society to take on competing roles – such as simultaneously being nurturing, competitive, and feminine. In essence, these binds represent unrealistic social demands, which structure women’s opportunities as they navigate their social worlds, and can result in the use of antisocial behaviors (Brown et al., 2007; Hinshaw & Kranz, 2010). In this analysis, women’s antisocial acts are conceptualized as a social response to these unrealistic demands, albeit one with high psychological costs.
A recent qualitative analysis illustrates this pattern well. Based on 400 interviews with young women, Brown (2003) examines girls’ aggression against other girls. Her analysis suggests that girls’ violence arises in response to competing demands in their opportunity structures. The social message essentially suggests that girls must work towards attaining success in every domain (e.g., appearance, academics, athletics, popularity, homemaking skills), even though they will likely not amount to “as much” as their male counterparts (Brown, 2003). In response to these unrealistic expectations, girls’ may take their frustrations out on other girls (i.e., through “girlfights”) instead of challenging stereotypes, because, as Brown argues, aggressing against other girls is less of a social risk. Interestingly, in this and other (e.g., Miller 2008, Miller, 2001) ethnographic accounts, girls are often fighting – even with other girls – for the preservation of relationships with romantic partners. The phenomenon girlfights may thus be another gender-salient context to examine in future work, but nonetheless demonstrates how young women’s violent acts emerge in the context of social binds that ask girls to accomplish the impossible, discourage development of genuine identity (e.g., Hinshaw & Kranz, 2010) and can result in aggression and violence.
Taken together, examining gender as an organizer of women’s interpersonal contexts and opportunity structures illuminates an important paradox: antisocial women and girls are both breaking (through acting antisocially and sometimes violently) and conforming (by attempting to fulfill competing demands and/or working to maintain interpersonal relationships) to gender role expectations. For instance, girls who engage in antisociality to preserve opposite-sex relationships are likely playing gender-congruent roles by fulfilling social expectations about the prioritization of intimate relationships, enactment of their sexuality, and development of caretaking roles (Miller, 2001; 2008). In this context, it is not girls’ behavior per se, but the social meaning behind their behavior – for instance, to preserve and maintain relationships with males – that is particularly gender-salient in their pathways to antisocial behavior. Below, we espouse an emerging model that examines the potential interplay of these gender-salient contexts with the person-level and risky family factors that also promote women’s antisocial pathways.
Multi-level Theory of Pathways to Female Antisocial Behavior
Based on the reviewed literatures, we propose an integrative and gendered model of female antisocial behavior that expands the conceptual model presented in Figure 1 and incorporates all of the risk factors we reviewed across levels of analysis. Though the complexity of women’s antisociality and the overlapping and interactive nature of the risk factors identified makes it challenging to present a single pathway, we emphasize that our goal is to present an empirically-supported model with generative potential to promote fresh insights into the causes and correlates of female antisocial behavior, particularly with respect to conceptualizations of gender (Figure 2).
Our working model integrates the person-level characteristics and risky families factors that are often examined in relation to boys’ antisociality (i.e., the “usual suspects”; dotted boxes in Figure 2) with those that suggest relatively more female-specificity (solid boxes in Figure 2). Further, the gendered social context characterized by gender norms, power, and patriarchy is depicted by the purple triangle in Figure 2, which becomes increasingly larger as women and girls’ gender identity becomes more personally and socially salient (e.g., particularly following puberty). Thus, risk factors become increasingly female-specific and relevant for understanding antisocial behavior in this model as girls and women enter into adolescence and emerging adulthood, at which point we theorize they are increasingly affected by gender at the socio-structural level.
Importantly, this evidence does not draw conclusions about female specific motivations for engaging in antisocial behavior. Indeed, the literature reviewed does not necessarily suggest that, in engaging in antisocial behavior, women and girls are directly and/or consciously fighting against an oppressive social context; nor does it suggest that there is one dominant motivation that promotes antisocial behavior. Rather, studies suggest motivations for antisocial behavior as diverse as seeking safety (e.g., Chesney-Lind & Pasko, 2004), protecting long-term romantic relationships (Miller, 2008), and attaining/maintaining social status (Brown, 2003). Indeed, as highlighted by in-depth studies (e.g., Miller, 2008), there is likely a confluence of oppressive forces, in tandem with person-level and risky family factors, that dynamically and interactively combine to create a multi-level context of risk ripe for the development of female specific antisocial behavior. Though such forces of oppression can become internalized (e.g., Prilleltensky & Gonick, 1996) and contribute to antisocial pathways, more research is needed to elaborate the role of women’s motivations per se. Though the model generated through this review may pertain to a variety of motivations, its primary focus is around advancing testable hypotheses about the interplay between risk factors in female pathways to antisocial behavior.
Generative and Testable Pathways toward Antisocial Behavior
To exemplify the explanatory power of this theoretical model, we illustrate below two overlapping but distinct pathways to female antisocial behavior that are among the many hypothetical pathways that can be generated from our model. The first hypothetical pathway is initiated by the “usual suspects” with respect to antisocial behavior and would be most relevant for girls who inherit a high genetic and person-level liability for antisocial behavior and encounter risky environments in childhood, such as uncaring or neglectful parenting styles or deviant peers. These girls may also be more likely to experience early pubertal development, given evidence for the effects of genes and adverse environments on early maturation in girls. We argue that this point in the pathway is pivotal, because girls’ physical maturation is associated with the increasing salience of gender roles and norms, represented by the expansion of the triangle in Figure 2. In the context of peer groups and male partnerships, girls will likely become more aware of and influenced by how their gender serves to organize and determine their place and power in a broader socio-structural context. Competing social demands within girls’ opportunity structures, including impossible social “binds”, can encourage girls’ engagement in antisocial behaviors in the quest to navigate their social world. Indeed, the pathway continues for girls who have intimate relationships that promote use of antisocial behavior in an effort to preserve and maintain these relationships; a social expectation in keeping with girls’ gender roles. In sum, this pathway exemplifies how predispositions that affect both genders similarly (e.g., heritability, parenting) can be associated with female-specific risk factors (early menarche, gender-salient contexts) that further exacerbate these gender-common risk factors, especially following puberty where the effects of gender at the individual and broader ecological level combine. Thus, it is not only the impact of these environments as potential stressors or traumas that increase risk for antisocial behavior in predisposed women but also the fact that these gendered contexts accord women fewer resources and power, thereby limiting their options for alternatives to antisocial engagement.
The second hypothetical pathway would characterize girls who inherit relatively low genetic liability for antisocial behavior but experience many of the female-specific risk factors identified by this review. For instance, repeated victimizations in the home may cause girls who would not otherwise act antisocially to seek refuge by running away, thereby increasing their exposure to gender-salient contexts that confer risk for continued antisocial behavior. In less extreme cases, girls may not run away but simply disengage with their home context and search for interpersonal connections through peers and romantic partners. Similar to the first pathway described above, girls’ physical development and exposure to peer and partner contexts in adolescence can facilitate and reinforce the increasing salience of gender norms and roles. Emerging adulthood may expose women to unrealistic expectations and competing demands, and increase the salience of their subjugated identities within interpersonal relationships with men, creating a set of circumstances that ultimately promotes antisocial behavior. Finally, women and girls with histories of victimization may be further exposed to risk if they become involved in relationships marked by violence by male partners or even more extreme forms of control, drug use, and violence through engagement in sex work. Moreover, these experiences of victimization may invite monitoring from formal systems (e.g., child protection, criminal justice) that work to punish the use of victims’ available coping strategies, including running away.
Likely, most paths to female antisocial behavior involve a hybrid of those just discussed, regardless of the etiological factors that initiate the antisocial pathway. We argue that this convergence occurs at the point in which social forces related to gender become more salient for women and serve to legitimate patriarchal norms. The influence of gender as an organizer of social structure has been the subject of psychological interest, as exemplified by meaningful and gender-relevant catchphrases popularized by psychological studies of women or gender differences, such as women’s tendencies to “tend and befriend" and "women and people, men and things", both of which suggest women's gravitation toward maintaining interpersonal relationships (Taylor, 2006; Su, Rounds, & Armstrong, 2009). We apply this framework to the study of antisocial behavior in particular and draw attention to the role of women's social power as they navigate opportunity structures and interpersonal spaces.
Conclusions and Implications
In addition to generating testable hypotheses about pathways to female antisocial behavior, several conclusions are evident from our review.
1. Multi-level and gendered conceptualizations of antisocial behavior are warranted
The present review suggests that female antisocial behavior is promoted by risk factors from multiple levels of analysis, including person-level, risky family factors, and gender-salient contexts. Some of these, like childhood sexual abuse, seem to be more strongly implicated in female than male antisocial pathways, underscoring the need for gender-specific models. Importantly, the emerging area of gender-salient contexts in female antisocial behavior highlights the importance of gender as an ecological variable in antisocial pathways. Indeed, particular contexts involving relationships with males during emerging adulthood (i.e., deviant male partners, intimate partner violence, and sex work) have been conceptualized as being “crucial” to the development and maintenance of women and girls’ antisocial behavior in this review precisely because they workto codify patriarchal norms.
2. Interpersonal and home contexts are particularly predictive of antisocial behavior for women and girls
Childhood victimization primarily occurring in the home has been linked to girls’ early conduct problems in numerous studies reviewed above and can work to exacerbate antisocial pathways by conferring risk through exposure to deviant male peers and drug use, for example. In adulthood, the interpersonal contexts in which intimate partner violence and sex work occur are also important contributors for women’s antisocial pathways. As reviewed, these patriarchal contexts serve to victimize women but are also the contexts in which women’s own antisocial behavior manifests.
3. Developmental considerations are important for understanding female antisocial pathways
As depicted in Figure 2, we argue that the factors thought to confer risk for antisocial behavior in boys – what we have termed the “usual suspects” – are theoretically more likely to accord influence at earlier stages in development, whereas female-specific risk factors are more likely to accord influence at later stages in development. This pattern underscores the importance of the developmental window that likely begins as a girl transitions out of childhood and into adulthood, and her gender identity becomes more salient. Importantly, our model argues that girls are indeed at risk for antisocial behavior at early stages in development, but that this risk is more driven by person-level and risky family factors than gendered social forces, which become increasingly influential as girls’ gendered identities develop and are negotiated in the context of competing binds. This implication is in keeping with late-onset trajectories of antisocial behavior but also extends these conceptualizations by suggesting that the emerging salience of gender as an organizer of girls’ social worlds may instigate risk later in development – particularly in the form of demanding opportunity structures and the subjugation of power in the interpersonal context. This pattern of greater environmental push at later stages of development is also supported by research suggesting the greater influence of environments (e.g., versus heritability) later in development for girls and women, but not boys and men (e.g., Burt et al., 2009; Dick et al., 2009; Hicks et al., 2007; Jacobsen et al., 2002).
Limitations and Future Directions
As with any review, there are limitations to the work presented here. For instance, space limitations did not allow for a comprehensive review of other potentially important risk factors (e.g., women’s friendship networks, forms of non-sexual maltreatment, hormonal effects, neighborhood factors). In addition, we did not conduct a quantitative analysis of the literature and thus are unable to make claims about significant differences in risk conferred by a particular factor for female versus male antisocial behavior. In many ways, however, a non-quantitative review is in keeping with the generative (and not conclusive) goals of the review and lends itself well to the inclusion of important qualitative work guiding our interpretations. We also limited our review to an examination of risk factors, but acknowledge that there is a need to examine protective factors and their interplay with risk factors in future work. In addition, though multiple excellent longitudinal studies have distilled causal relationships among particular factors, we caution readers not to interpret each “arrow” depicted in Figure 2 as suggesting a causal relationship. Further empirical support will be needed to make such causal claims.
It is also important to recognize that one limitation of this review, reflective of the broader literature, is that it is not positioned to make conclusive distinctions between the factors that contribute to the onset, maintenance, and exacerbation of antisocial behavior. In this review, we focus on factors that could contribute to any or multiple points in female antisocial trajectories, which speaks to the transactional nature of these processes. However, studies that are best positioned to delineate answers are those that use a prospective design and focus on trajectories of antisocial behavior (e.g., Moffitt et al., 2011). We encourage future research to attend to the effects of a broader range of factors outlined in this review, including person level, risky family, and gender-salient contexts, on antisocial trajectories.
Furthermore, although not explicitly addressed in this review, previous work demonstrates the centrality of socioeconomic status, race, and ethnicity as powerful sociostructural predictors of criminality (e.g., critical race theory; Delgado, 2000). Though a discussion of racial and ethnic differences in the application of the proposed model is beyond the scope of this paper (and indeed, the research evidence on women and girls to date), there are several key points to bear in mind. First, women and girls engaging in antisocial behavior are likely defined by “multiple marginality” (Chesney-Lind & Shelden, 2004), suggesting that the confluence of oppressive forces stemming from their race, gender, and/or ethnicity can promote unique pathways to antisocial behavior. Second, there are known group differences with respect to early pubertal development, whereby African American girls have significantly earlier menarche compared with matched non African American controls (e.g., Anderson, Dallal, & Must, 2003); a research finding that is relevant for the interpretation of our model. Third, there is evidence to suggest that norms around gender can differ in meaningful ways between racial and ethnic groups (e.g., Miller, 2008), and investigation of similarities and differences in the instantiation of gender norms represents an important area for future research. Finally, we underscore that it is critical to avoid conflating effects of socioeconomic status with racial/ethnic differences in interpreting current research and conducting future studies (e.g., Okazaki & Sue, 1995).
In addition to those mentioned in reference to the review limitations, there are a number of future directions for research advanced by this review. First, while all of the risk factors in Figure 2 evidenced an association with female antisocial behavior, the interrelationships among them have been subject to much less empirical scrutiny. One critical direction for future research is to systematically examine proposed interrelationships toward the goal of further specifying and extending the pathway model presented in this paper. Second, we hope that researchers will adopt an “expanded lens” framework in future studies when conceptualizing the influence of gender on women’s antisocial pathways. This includes continuing to examine gender at the individual level as well as finding creative ways to systematically examine how the experience of double and triple binds and subjugated positions of power in interpersonal contexts may promote antisocial behaviors in women. This line of research is greatly needed, especially given the relative dearth of longitudinal and large-scale investigations that currently inform our gender-salient context section.
Indeed, one contribution of this review is to expand and delineate other relevant clinical conditions on which gender salient contexts have an effect. For instance, existing literature on depression (e.g., Jack & Dill, 1992; Nolen-Hoeksema, Larson, & Grayson, 1999) and eating disorders (e.g., Moradi, Dirks, & Matteson, 2005; Stice, Schupak-Neuberg, Shaw, & Stein, 1994) supports these parallels; namely that gender-salient contexts are crucial for understanding whether and how psychopathology may manifest in women and girls over the lifespan. Importantly, women who engage in antisocial behavior are also highly likely to experience comorbid internalizing symptoms such as depression, and to a greater extent as compared with men (e.g., Moffitt et al., 2001). This suggests that gender-salient contexts can contribute to more than one dimension of psychopathology. However, one interesting distinction for antisocial outcomes is that they represent primarily gender incongruent behaviors, such that antisocial women and girls are acting against prescribed social norms (e.g., by externalizing). This is in contrast to outcomes such as depression and eating disorders, where women who internalize emotions and take a “drive for thinness” to an extreme are, in some ways, acting in accordance with social prescriptives (i.e, norms that over value emotionality and low body weight). Thus, one factor that may lead a girl to experience primarily internalizing disorders, such as depression, rather than engage in antisocial behavior is the extent to which she adheres to gendered social norms. Examining the distinctions and parallels between the effects of gender salient contexts on different psychological outcomes also represents an important future research topic, and one that would challenge psychological research to expand existing models to incorporate gender at both the individual and social levels of analysis.
In sum, the present review provides important evidence for the increasing importance of investigating the unique pathways that characterize engagement in antisocial behavior by girls and women. The conceptual model advanced in this review can help to expand our understanding of a phenomenon that has serious psychological and social implications. Indeed, this review represents one response to an important “challenge to psychology, … to link the vision of women’s agency with an understanding of the shaping powers of social context” (Riger, 1992, p. 737–738).
Footnotes
In this review, we do not focus on gender differences (i.e., mean level differences) in antisocial behavior.
Finally, a meta-analysis of 59 studies on the effects of childhood sexual abuse in college samples found that the negative effects of sexual abuse on psychological adjustment, although mostly small in size, were stronger in female than male samples (Rind et al., 1998).
Specifically, the family conflict model conceptualizes interpersonal violence as bi-directional and labels it expressive violence (Strauss & Gelles, 1986), whereas socio-structural models assert that violence is male-directed (even if perpetration is equally prevalent across the genders), instrumental, and reflects institutionalized social norms privileging male control (e.g., Dobash & Dobash, 1998; Schechter, 1982). Further, these two models generally draw from different samples with the family conflict model driven by community-based national probability surveys and the socio-structural models driven by national crime victimization surveys informing violence defined as a crime (and potentially tapping more severe forms of violence).
References
- Acoca L. Outside/ inside: the violation of American girls at home, on the streets, and in the juvenile justice system. Crime & Delinquency. 1998;44:561–589. [Google Scholar]
- Acoca L. Investing in girls: A 21st-century challenge. Juvenile Justice. 1999;6:3–13. [Google Scholar]
- Aguilar B, Sroufe LA, Egeland B, Carlson E. Distinguishing the early- onset/persistent and adolescence-limited antisocial behavior types: From birth to 16 years. Development & Psychopathology. 2000;12:109–132. doi: 10.1017/s0954579400002017. [DOI] [PubMed] [Google Scholar]
- Anderson KL. Theorizing Gender in Intimate Partner Violence Research. Sex Roles. 2005;52:853–865. [Google Scholar]
- Anderson SE, Dallal GE, Must A. Relative weight and race influence agerage age at menarche: Results from two nationally representative surveys of US girls studied 25 years apart. Pediatrics. 2003;111:844–850. doi: 10.1542/peds.111.4.844. [DOI] [PubMed] [Google Scholar]
- Arata CM, Langhinrichsen-Rohling J, Bowers D, O'Brien N. Differential correlates of multi-type maltreatment among urban youth. Child Abuse & Neglect. 2007;31:393–415. doi: 10.1016/j.chiabu.2006.09.006. [DOI] [PubMed] [Google Scholar]
- Archer J. Sex differences in aggression between heterosexual partners: A meta-analytic review. Psychological Bulletin. 2000;126:651–680. doi: 10.1037/0033-2909.126.5.651. [DOI] [PubMed] [Google Scholar]
- Archer J, Graham-Kevan N, Davies M. Testosterone and aggression: A reanalysis of Book, Starzyk, and Quinsey's 2001 study. Aggression and Violent Behavior. 2005;10:241–261. [Google Scholar]
- Ardelt M, Day L. Parents, siblings, and peers: Close social relationships and adolescent deviance. Journal of Early Adolescence. 2002;22:310–349. [Google Scholar]
- Arseneault L, Moffitt TE, Caspi A, Taylor A, Rijsdijk FV, Jaffee SR, Ablow JC, Measelle JR. Strong genetic effects on cross-situational antisocial behaviour among 5-year-old children according to mothers, teachers, examiner-observers, and twins self-reports. Journal of Child Psychology and Psychiatry. 2003;44:832–848. doi: 10.1111/1469-7610.00168. [DOI] [PubMed] [Google Scholar]
- Avry DV, Duncan TE, Duncan SC, Hops H. Adolescent problem behavior: the influence of parents and peers. Behaviour Research and Therapy. 1999;37:217–230. doi: 10.1016/s0005-7967(98)00133-8. [DOI] [PubMed] [Google Scholar]
- Barnard MA. Violence and vulnerability: conditions of work for street working prostitutes. Sociology of Health & Illness. 1993;15:683–705. [Google Scholar]
- Barnes GM, Reifman AS, Farrell MP, Dintcheff BA. The effects of parenting on the development of adolescent alcohol misuse: A six-wave latent growth model. Journal of Marriage and the Family. 2000;62:175–186. [Google Scholar]
- Baumrind D. An exploratory study of socialization effects on Black children: some Black-White comparisons. Child Development. 1972;43:261–267. [PubMed] [Google Scholar]
- Baumrind D. The influence of parenting style on adolescent competence and substance use. The Journal of Early Adolescence. 1991;11:56–95. [Google Scholar]
- Beaver KM, Wright JP. Biosocial development and delinquent behavior. Youth Violence and Juvenile Justice. 2005;3:168–192. [Google Scholar]
- Bergen HA, Martin G, Richardson AS, Allison S, Roeger L. Sexual abuse, antisocial behavior and substance use: gender differences in young community adolescents. Australian and New Zealand Journal of Psychiatry. 2004;38:34–41. doi: 10.1111/j.1440-1614.2004.01295.x. [DOI] [PubMed] [Google Scholar]
- Bertrand K, Nadeau L. Article « Trajectoires de femmes toxicomanes en traitement ayant un vécu de prostitution : étude Trajectoires de femmes toxicomanes en traitement ayant un vécu de prostitution : étude exploratoire. 2010;5:79–109. [Google Scholar]
- Blatt-Eisengart I, Drabick DAG, Monahan KC, Steinberg L. Sex differences in the longitudinal relations among family risk factors and childhood externalizing symptoms. Developmental Psychology. 2009;45:491–502. doi: 10.1037/a0014942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Björkqvist K, Lagerspetz K, Kaukiainen A. Do girls manipulate and boys fight? Developmental trends in regard to direct and indirect aggression. Aggressive Behavior. 1992;18:117–127. [Google Scholar]
- Bongers IL, Koot HM, van derEnde J, Verhulst FC. Developmental Trajectories of Externalizing Behaviors in Childhood & Adolescence. Child Development. 2004;75:1523–1537. doi: 10.1111/j.1467-8624.2004.00755.x. [DOI] [PubMed] [Google Scholar]
- Bornstein RF. The complex relationship between dependency and domestic violence: Converging psychological factors and social forces. American Psychologist. 2006;61:595–606. doi: 10.1037/0003-066X.61.6.595. [DOI] [PubMed] [Google Scholar]
- Bouffard LA, Wright KA, Muftic LR, Bouffard JA. Gender differences in specialization in intimate partner violence: comparing the gender symmetry and violent resistance perspectives. Justice Quarterly. 2008;25:570–594. [Google Scholar]
- Brody GH, Flor DF. Maternal resources, parenting practices, and child competence in rural, single-parent African American Families. Child Development. 1998;69:803–816. [PubMed] [Google Scholar]
- Broidy L, Nagin DS, Tremblay RE, Bates JE, Brame R, Dodge KA, et al. Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: A six site, cross-national study. Developmental Psychology. 2003;39:222–245. doi: 10.1037//0012-1649.39.2.222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brown L. Girlfighting: Betrayal and rejection among girls. New York, NY: NYU; 2003. [Google Scholar]
- Brown LM, Chesney-Lind M, Stein N. Patriarchy matters: toward a gendered theory of teen violence and victimization. Violence Against Women. 2007;13:1249–1273. doi: 10.1177/1077801207310430. [DOI] [PubMed] [Google Scholar]
- Bowman MA, Prelow HM, Weaver SR. Parenting behaviors, association with deviant peers, and delinquency in African American adolescents: A mediated-moderation model. Journal of Youth and Adolescence. 2007;36:517–527. [Google Scholar]
- Bronfenbrenner U. The Ecology of Human Development. Cambridge, MA: Harvard Press; 1979. [Google Scholar]
- Burnette ML, Lucas E, Ilgen M, Frayne SM, Mayo J, Weitlauf JC. Prevalence and health correlates of prostitution among patients entering treatment for substance use disorders. Archives of General Psychiatry. 2008;65:337–344. doi: 10.1001/archpsyc.65.3.337. [DOI] [PubMed] [Google Scholar]
- Burt SA, McGue M, Demarte JA, Krueger RF, Iacono WG. Timing of menarche and the origins of Conduct Disorder. Archives of General Psychiatry. 2006;63:890–896. doi: 10.1001/archpsyc.63.8.890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cambell BC, Udry JR. Stress and age at menarche of mothers and daughters. Journal of Biosocial Science. 1995;27:127–134. doi: 10.1017/s0021932000022641. [DOI] [PubMed] [Google Scholar]
- Campbell J, Webster D, Koziol-McLain J, Block C, Campbell D, Curry MA, et al. Risk factors for femicide in abusive relationships: Results from a multisite case control study. American Journal of Public Health. 2003;93:1089–1097. doi: 10.2105/ajph.93.7.1089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Capaldi DM, Owen LD. Physical Aggression in a Community Sample of At-Risk Young Couples : Gender Comparisons for High Frequency, Injury, and Fear. Journal of Family Psychology. 2001;15:425–440. doi: 10.1037//0893-3200.15.3.425. [DOI] [PubMed] [Google Scholar]
- Carbone-Lopez K, Kruttschnitt C, Macmillan R. Patterns of intimate partner violence and their associations with physical health, psychological distress, and substance use. Public Health Reports. 2006;121:382–392. doi: 10.1177/003335490612100406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carter R, Jaccard J, Silverman WK, Pina AA. Pubertal timing and its link to behavioral and emotional problems among 'at-risk' African American adolescent girls. Journal of adolescence. 2009;32(3):467–481. doi: 10.1016/j.adolescence.2008.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caspi A. The child is father of the man: Personality continuities from childhood to adulthood. Journal of Personality and Social Psychology. 2000;78:158–172. doi: 10.1037//0022-3514.78.1.158. [DOI] [PubMed] [Google Scholar]
- Caspi A, Henry B, McGee RO, Moffitt TE, Silva PA. Temperamental origins of child and adolescent behavior problems: From age three to fifteen. Child Development. 1995;66:55–68. doi: 10.1111/j.1467-8624.1995.tb00855.x. [DOI] [PubMed] [Google Scholar]
- Caspi A, Lynam D, Moffitt TE, Silva P. Unraveling girls' delinquency: Biological, dispositional, and contextual contributions to adolescent misbehavior. Developmental Psychology. 1993;29:19–30. [Google Scholar]
- Caspi A, McClay J, Moffitt TE, Mill J, Martin J, Craig IW, Taylor A, Poulton R. Role of genotype in the cycle of violence in maltreated children. Science. 2002;297:851–854. doi: 10.1126/science.1072290. [DOI] [PubMed] [Google Scholar]
- Cernkovich SC, Lanctot N, Giordano PC. Predicting Adolescent and Adult Antisocial Behavior Among Adjudicated Delinquent Females. Crime & Delinquency. 2008;54:3–33. [Google Scholar]
- Chapple CL, Johnson KD, Whitbeck LB. Gender and Arrest among Homeless and Runaway Youth: An Analysis of Background, Family, and Situational Factors. Youth Violence and Juvenile Justice. 2004;2:129–147. [Google Scholar]
- Chase SA. Perfectly prep: gender extremes at a New England prep school. Oxford University Press; 2008. [Google Scholar]
- Chesney-Lind M, Pasko L. Girls, Women, and Crime. Thousand Oaks, CA: Sage; 2004. [Google Scholar]
- Chesney-Lind M, Shelden RG. Girls, Delinquency, and Juvenile Justice. Belmont: Wadsworth/Thomson Learning; 2004. [Google Scholar]
- Chipman S, Olsen SF, Klein S, Hart CH, Robinson CC. Differences in retrospective perceptions of parenting of male and female inmates and non-inmates. Family Relations. 2000;49:5–11. [Google Scholar]
- Cicchetti D, Dawson G. Editorial: Multiple levels of analysis. Development and Psychopathology. 2002;14:417–420. doi: 10.1017/s0954579402003012. [DOI] [PubMed] [Google Scholar]
- Cloninger CR, Christiansen KO, Reich T, Gottesman II. Implications of sex differences in the prevalence of antisocial personality, alcoholism, and criminality for familial transmission. Archives of General Psychiatry. 1978;35:941–951. doi: 10.1001/archpsyc.1978.01770320035002. [DOI] [PubMed] [Google Scholar]
- Cogan R, Fennell T. Sexuality and the commission of physical violence to partners and non-partners by men and women. Journal of consulting and clinical psychology. 2007;75:960–967. doi: 10.1037/0022-006X.75.6.960. [DOI] [PubMed] [Google Scholar]
- Comings DE, Muhleman D, Johnson JP, MacMurray JP. Parent–daughter transmission of the androgen receptor gene as an explanation of the effect of father absence on age of menarche. Child Development. 2002;73:1046–1051. doi: 10.1111/1467-8624.00456. [DOI] [PubMed] [Google Scholar]
- Connell AM, Goodman SH. The association between psychopathology in fathers versus mothers and children’s internalizing and externalizing behavior problems: A meta-analysis. Psychological Bulletin. 2002;128:746–773. doi: 10.1037/0033-2909.128.5.746. [DOI] [PubMed] [Google Scholar]
- Coté S, Zoccolillo M, Tremblay RE, Nagin D, Vitaro F. Predicting girls' conduct disorder in adolescence from childhood trajectories of disruptive behaviors. Journal of the American Academy of Child and Adolescent Psychiatry. 2001;40:678–684. doi: 10.1097/00004583-200106000-00013. [DOI] [PubMed] [Google Scholar]
- Crick NR. Engagement in gender normative versus nonnormative forms of aggression: Links to social-psychological adjustment. Developmental Psychology. 1997;33:610–617. doi: 10.1037//0012-1649.33.4.610. [DOI] [PubMed] [Google Scholar]
- Crick NR, Grotpeter JK. Relational aggression, gender, and social- psychological adjustment. Child Development. 1995;66:710–722. doi: 10.1111/j.1467-8624.1995.tb00900.x. [DOI] [PubMed] [Google Scholar]
- Cusick L. Youth prostitution: A literature review. Child Abuse Review. 2002;11:230–231. [Google Scholar]
- Dalla RL. Exposing the “Pretty Woman” myth: A qualitative examination of the lives of streetwalking prostitutes. The Journal of Sex Research. 2000;37:344–353. [Google Scholar]
- de Beauvoir S. The Second Sex. London: HM Parshley; 1949. [Google Scholar]
- Dekeseredy WS, Saunders D, Schwartz MD, Alvi S. The meanings and motives for women's use of violence in Canadian college dating relationships: Results from a national survey. Sociological Spectrum. 1997;17:199–222. [Google Scholar]
- Dick DM, Bernard M, Aliev F, Viken R, Pulkkinen L, Kaprio J, Rose RJ. The role of socio-regional factors in moderating genetic influences on early adolescent behavior problems and alcohol use. Alcoholism: Clinical and Experimental Research. 2009;33:1739–1748. doi: 10.1111/j.1530-0277.2009.01011.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dick DM, Rose RJ, Viken RJ, Kaprio J. Pubertal timing and substance use: Associations between and within families across late adolescence. Developmental Psychology. 2000;36:180–189. [PubMed] [Google Scholar]
- Dishion TJ, Patterson GR, Griesler PC. Peer adaptation in the development of antisocial behavior: A confluence model. In: Huesmann LR, editor. Aggressive behavior: Current perspectives. New York: Plenum; 1994. pp. 6–95. [Google Scholar]
- Dixon A, Howie P, Starling J. Trauma exposure, posttraumatic stress, and psychiatric comorbidity in female juvenile offenders. Journal of the American Academy of Child and Adolescent Psychiatry. 2005;44(8):798–806. doi: 10.1097/01.chi.0000164590.48318.9c. [DOI] [PubMed] [Google Scholar]
- Dobash RE, Dobash RP. Rethinking violence against women. Thousand Oaks, CA: Sage Publications; 1998. [Google Scholar]
- Donenberg GR, Wilson HW, Emerson E, Bryant FB. Holding the line with a watchful eye: The impact of perceived parental permissiveness & parental monitoring on risky sexual behavior among adolescents in psychiatric careaids. Education Preview. 2002;14:138–157. doi: 10.1521/aeap.14.2.138.23899. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ducci F, Enoch M-A, Hodgkinson C, Xu K, Catena M, Robin RW, Goldman D. Interaction between a functional MAOA locus and childhood sexual abuse predicts alcoholism and antisocial personality disorder in adult women. Molecular psychiatry. 2008;13:334–347. doi: 10.1038/sj.mp.4002034. [DOI] [PubMed] [Google Scholar]
- Dutton M, Goodman L. Coercion in intimate partner violence: Toward a new conceptualization. Sex Roles. 2005;52:743–756. [Google Scholar]
- Eagly AH, Wood W. The origins of sex differences in human behavior: Evolved dispositions versus social roles. American Psychologist. 1999;54:408–423. [Google Scholar]
- Ehrensaft MK. Interpersonal Relationships and Sex Differences in the Development of Conduct Problems. Clinical Child and Family Psychology Review. 2005;8:39–63. doi: 10.1007/s10567-005-2341-y. [DOI] [PubMed] [Google Scholar]
- Ehrensaft MK, Moffitt TE, Caspi A. Clinically abusive relationships in an unselected birth cohort: Men’s and women’s participation and developmental antecedents. Journal of Abnormal Psychology. 2004;113:258–270. doi: 10.1037/0021-843X.113.2.258. [DOI] [PubMed] [Google Scholar]
- Eichorn DE. Asynchronizations in Adolescent Development. In: Dragastin SE, Elder GH Jr, editors. Adolescence in the Life-Cycle: Psychological Change and the Social Context. New York: Wiley; 1975. pp. 81–96. [Google Scholar]
- Eisenberg N, Zhou Q, Spinrad TL, Valiente C, Fabes RA, Liew J. Relations among positive parenting, children’s effortful control, and externalizing problems: A three-wave longitudinal study. Child Development. 2005;76:1065–1071. doi: 10.1111/j.1467-8624.2005.00897.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ellis L. Sex, status, and criminality: A theoretical nexus. Social Biology. 2004;51:144–160. doi: 10.1080/19485565.2004.9989091. [DOI] [PubMed] [Google Scholar]
- Else-Quest NM, Hyde JS, Goldsmith HH, Van Hulle CA. Gender differences in temperament: a meta-analysis. Psychological Bulletin. 2006;132:33–72. doi: 10.1037/0033-2909.132.1.33. [DOI] [PubMed] [Google Scholar]
- Erickson KG, Crosnoe R, Dornbusch SM. A Social Process Model of Adolescent Deviance: Combining Social Control and Differential Association Perspectives. Journal of Youth and Adolescence. 2000 Springer Netherlands. [Google Scholar]
- Feder L, Henning K. A comparison of male and female dually arrested domestic violence offenders. Violence and Victims. 2005;20:153–171. [PubMed] [Google Scholar]
- Federal Bureau of Investigation. Crime in the United States, 2007. Washington, DC: U.S. Department of Justice; 2008. [Google Scholar]
- Fergusson DM, Horwood LJ. The role of adolescent peer affiliations in the continuity between childhood behavioral adjustment and juvenile offending. Journal of Abnormal Psychology. 1996;24:205–221. doi: 10.1007/BF01441485. [DOI] [PubMed] [Google Scholar]
- Fergusson DM, Horwood JL. Male and female offending trajectories. Development and Psychopathology. 2002;14:159–177. doi: 10.1017/s0954579402001098. [DOI] [PubMed] [Google Scholar]
- Flannery DJ, Rowe DC, Gulley BL. Impact of pubertal status, timing, and age on adolescent sexual experience and delinquency. Journal of Adolescent Research. 1993;8:21–40. [Google Scholar]
- Foley DL, Eaves LJ, Wormley B, Silberg JL, Maes HH, Kuhn J. Childhood adversity, monoamine oxidase a genotype, and risk for conduct disorder. Archives of General Psychiatry. 2004;61:738–744. doi: 10.1001/archpsyc.61.7.738. [DOI] [PubMed] [Google Scholar]
- Formoso D, Gonzales NA, Aiken LS. Family Conflict and Children's Internalizing and Externalizing Behavior: Protective Factors. American Journal of Community Psychology. 2000 doi: 10.1023/A:1005135217449. Springer Netherlands. [DOI] [PubMed] [Google Scholar]
- Frazzetto G, Di Lorenzo G, Carola V, Proietti L, Sokolowska E, Siracusano A, et al. Early trauma and increased risk for physical aggression during adulthood: the moderating role of MAOA genotype. PloS one. 2007;2:486. doi: 10.1371/journal.pone.0000486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Friedan B. The Feminine Mystique. New York, NY: Dell; 1963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fulkerson JA, Pasch KE, Perry CL, Komro K. Relationships between alcohol-related informal social control, parental monitoring and adolescent problem behaviors among racially diverse urban youth. Journal of community health. 2008;33(6):425–433. doi: 10.1007/s10900-008-9117-5. Springer Netherlands. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garnefski N, Arends E. Sexual abuse and adolescent maladjustment: differences between male and female victims. Journal of Adolescence. 1998;21:99–107. doi: 10.1006/jado.1997.0132. [DOI] [PubMed] [Google Scholar]
- Gault-Sherman M, Silver E, Sigfúsdóttir ID. Gender and the associated impairments of childhood sexual abuse: a national study of Icelandic youth. Social science & medicine (1982) 2009;69(10):1515–1522. doi: 10.1016/j.socscimed.2009.08.037. [DOI] [PubMed] [Google Scholar]
- Ge X, Brody GH, Conger RD, Simons RL. Pubertal maturation and African American children’s internalizing and externalizing symptoms. Journal of Youth and Adolescence. 2006;35:531–540. [Google Scholar]
- Geiger B. Crime, prostitution, drugs, and malingered insanity: Female offenders resistant strategies to abuse and domination. International Journal of Offender Therapy and Comparative Criminology. 2006;50:582–594. doi: 10.1177/0306624X05282890. [DOI] [PubMed] [Google Scholar]
- Gershoff ET. Corporal punishment by parents and associated child behaviors and experiences: A meta-analytic and theoretical review. Psychological Bulletin. 2002;128:539–579. doi: 10.1037/0033-2909.128.4.539. [DOI] [PubMed] [Google Scholar]
- Giordano PC, Cernkovich SA, Pugh M. Friendships and Delinquency. American Journal of Sociology. 1986;91:1170–1202. [Google Scholar]
- Giordano PC, Cernkovich SA, Rudolph JL. Gender, crime, and desistance: Toward a theory of cognitive transformation. American Journal of Sociology. 2002;107:99–1064. [Google Scholar]
- Girshick LB. No Safe Haven: Stories of Women in Prison. Boston: Northeastern Univ. Press; 1999. [Google Scholar]
- Graham N, Wish ED. Drug use among female arrestees: Onset, patterns, and relationships to prostitution. Journal of Drug Issues. 1994;24:315–329. [Google Scholar]
- Gokturk C, Schultze S, Nilsson KW, von Knorring L, Oreland L, Hallman J. Serotonin transporter (5-HTTLPR) and monoamine oxidase (MAOA) promoter polymorphisms in women with severe alcoholism. Archives of Women’s Mental Health. 2008;11:347–355. doi: 10.1007/s00737-008-0033-6. [DOI] [PubMed] [Google Scholar]
- Goldstein RB, Powers SI, McCusker J, Mundt KA, et al. Gender differences in manifestations of antisocial personality disorder among residential drug abuse treatment clients. Drug & Alcohol Dependence. 1996;41:35–45. doi: 10.1016/0376-8716(96)01222-7. [DOI] [PubMed] [Google Scholar]
- Greene JC. Mixed methods in social inquiry. San Francisco: Jossey-Bass; 2007. [Google Scholar]
- Guba EG, Lincoln YS. Controversies, contradictions, confluences. In: Denzin NK, Lincoln YS, editors. The Sage Handbook of Qualitative Research. 3rd ed. Thousand Oaks, CA: Sage; 2005. [Google Scholar]
- Guerin DW, Gottfried AW, Thomas CW. Difficult temperament and behaviour problems: A longitudinal study from 1.5 to 12 years. International Journal of Behavioral Development. 1997;21:71–90. [Google Scholar]
- Hahm HC, Lee Y, Ozonoff A, Van Wert MJ. The impact of multiple types of child maltreatment on subsequent risk behaviors among women during the transition from adolescence to young adulthood. Journal of youth and adolescence. 2010;39:528–540. doi: 10.1007/s10964-009-9490-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hart JL, O’Toole SK, Price-Sharps JL, Shaffer TW. The risk and protective factors of violent juvenile offending: An examination of gender differences. Youth Violence and Juvenile Justice. 2007;5:367–382. [Google Scholar]
- Hartung CM, Widiger TA. Gender differences in the diagnosis of mental disorders: Conclusions and controversies of the DSM-IV. Psychological Bulletin. 1998;213:260–278. doi: 10.1037/0033-2909.123.3.260. [DOI] [PubMed] [Google Scholar]
- Haynie DL. Delinquent peers revisited: Does network structure matter? American Journal of Sociology. 2001;106:1013–1057. [Google Scholar]
- Haynie DL. Contexts of risk: Explaining the link between girls' pubertal development and their delinquency involvement. Social Forces. 2003;82:355–397. [Google Scholar]
- Haynie DL, Giordano PC, Manning WD, Longmore MA. Adolescent romantic relationships and delinquency involvement. Criminology. 2005;43:177–210. [Google Scholar]
- Haynie DL, Steffensmeier D, Bell KE. Gender and serious violence: Untangling the role of friendship sex composition and peer violence. Youth Violence and Juvenile Justice. 2007;5:235–253. [Google Scholar]
- Heinze HJ, Toro PA, Urberg KA. Antisocial behavior and affiliation with deviant peers. Journal of Clinical Child and Adolescent Psychology. 2004;33:336–346. doi: 10.1207/s15374424jccp3302_15. [DOI] [PubMed] [Google Scholar]
- Henning K, Feder L. A comparison of men and women arrested for domestic violence: Who presents the greater threat? Journal of Family Violence. 2004;19:69–80. [Google Scholar]
- Herrera VM, McCloskey LA. Sexual Abuse, Family Violence, and Female Delinquency: Findings From a Longitudinal Study. Violence & Victims. 2003;18:319–334. doi: 10.1891/vivi.2003.18.3.319. [DOI] [PubMed] [Google Scholar]
- Hicks BM, Blonigen DM, Kramer MD, Krueger RF, Patrick CJ, Iacono WG, McGue M. Gender differences and developmental change in externalizing disorders from late adolescence to early adulthood: A longitudinal twin study. Journal of Abnormal Psychology. 2007;116:433–447. doi: 10.1037/0021-843X.116.3.433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hinshaw S, Kranz R. The Tripe Bind: Saving our Teenage Girls from Today’s Pressures. New York, NY: Ballantine Books; 2010. [Google Scholar]
- Hubbard D, Pratt TC. A Meta-Analysis of the Predictors of Delinquency Among Girls. Journal of Offender Rehabilitation. 2002;34:1–13. [Google Scholar]
- Jack DC, Dill D. The silencing of the self scale: Schemas of intimacy associated with depression in women. Psychology of Women Quarterly. 1992;16:97–106. [Google Scholar]
- Jacobsen KC, Prescott CA, Kendler KA. Sex differences in the genetic and environmental influences on the development of antisocial behavior. Development and Psychopathology. 2002;14:395–416. doi: 10.1017/s0954579402002110. [DOI] [PubMed] [Google Scholar]
- Jaffee SR, Price TS. Gene-environment correlations: A review of the evidence and implications for prevention of mental illness. Molecular Psychiatry. 2007;12:432–442. doi: 10.1038/sj.mp.4001950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lagerspetz KMJ, Bjorkqvist K, Peltonen T. Is indirect aggression typical of females? Gender differences in aggressiveness in 11-to 12 year old children. Aggressive Behavior. 1988;14:403–414. [Google Scholar]
- Maldonado-Molina MM, Jennings WG, Komro KA. Effects of alcohol on trajectories of physical aggression among urban youth: An application of latent trajectory modeling. Journal of Youth and Adolescence. 2010;39:1012–1026. doi: 10.1007/s10964-009-9484-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson H. Drug use by incarcerated women offenders. Drug and Alcohol Review. 2006;25:433–437. doi: 10.1080/09595230600876598. [DOI] [PubMed] [Google Scholar]
- Johnson LM, Simons RL, Conger RD. Criminal justice system involvement and continuity in youth crime: A longitudinal analysis. Youth & Society. 2004;36:3–29. [Google Scholar]
- Jones DJ, Forehand R, Rakow A, Colletti CJM, McKee L, Zalot A. The specificity of maternal parenting behavior and child adjustment difficulties: A study of inner-city African American families. Journal of Family Psychology. 2008;22:181–192. doi: 10.1037/0893-3200.22.2.181. [DOI] [PubMed] [Google Scholar]
- Jones N. Working ‘the code’: On girls, gender, and inner-city violence. The Australian and New Zealand Journal of Criminology. 2008;41:63–83. [Google Scholar]
- Kaltiala-Heino R. Pubertal timing, sexual behaviour and self-reported depression in middle adolescence. Journal of Adolescence. 2003;26(5):531–545. doi: 10.1016/s0140-1971(03)00053-8. [DOI] [PubMed] [Google Scholar]
- Katz R. Explaining girls’ and women’s crime and desistance in the context of their victimization experiences: A developmental test of revised strain theory and the life course perspective. Violence Against Women. 2000;6:633–660. [Google Scholar]
- Keenan K, Shaw D. Developmental and social influences on young girls’ early problem behavior. Psychological Bulletin. 1997;121:95–113. doi: 10.1037/0033-2909.121.1.95. [DOI] [PubMed] [Google Scholar]
- Kendler K, Gardner C, Lichtenstein P. A developmental twin study of symptoms of anxiety and depression: evidence for genetic innovation and attenuation. Psychological Medicine. 2008;38:1567–1575. doi: 10.1017/S003329170800384X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim-Cohen J, Caspi A, Taylor A, Williams B, Newcombe R, Craig IW, et al. MAOA, maltreatment, and gene–environment interaction predicting children’s mental health: new evidence and a meta-analysis. Molecular Psychiatry. 2006;11:903–913. doi: 10.1038/sj.mp.4001851. [DOI] [PubMed] [Google Scholar]
- Kim JE, Hetherington EM, Reiss D. Associations among family relationships, antisocial peers, and adolescents’ externalizing behaviors: Gender and family type differences. Child Development. 1999;70:1209–1230. doi: 10.1111/1467-8624.00088. [DOI] [PubMed] [Google Scholar]
- Kinnally EL, Huang T, Haverly R, Burke AK, Galfalvy H, Brent DP, Oquendo MA, Mann JJ. Parental care moderates the influence of MAOA-uVNTR genotype and childhood stressors on trait impulsivity and aggression in adult women. Psychiatry Genetics. 2009;19:126–133. doi: 10.1097/YPG.0b013e32832a50a7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Knutson JF, DeGarmo DS, Reid JB. Social disadvantage and neglectful parenting as precursors to the development of antisocial and aggressive child behavior: Testing a theoretical model. Aggressive Behavior. 2004;30:187–205. [Google Scholar]
- Kratzer L, Hodgins S. A typology of offenders: A test of Moffitt's theory among males and females from childhood to age 30. Criminal Behaviour and Mental Health. 1999;9:57–73. [Google Scholar]
- 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. [Google Scholar]
- Krueger RF, Hicks BM, Patrick CJ, Carlson SR, Iacono WG, McGue M. Etiologic connections among substance dependence, antisocial behavior, and personality: Modeling the externalizing spectrum. Journal of Abnormal Psychology. 2002;111:411–424. [PubMed] [Google Scholar]
- Kruttschnitt C, Carbone-Lopez Moving beyond the stereotypes: Women’s subjective accounts of their violent crime. Criminology. 2006;44:321–351. [Google Scholar]
- Kuhns JB, Heide KM, Silverman I. Substance use/ misuse among female prostitutes and female arrestees. International Journal of the Addictions. 1992;27:1283–1292. doi: 10.3109/10826089209047350. [DOI] [PubMed] [Google Scholar]
- Lahey BB, Van Hulle CA, Waldman ID, Rodgers JL, D'Onofrio BM, Pedlow S, Rathouz P, Keenan K. Testing descriptive hypotheses regarding sex differences in the development of conduct problems and delinquency. Journal of Abnormal Child Psychology. 2006;34:737–755. doi: 10.1007/s10802-006-9064-5. [DOI] [PubMed] [Google Scholar]
- Laird RD, Criss MM, Pettit GS, Dodge KA, Bates JE. Parents' monitoring knowledge attenuates the link between antisocial friends and adolescent delinquent behavior. Journal of abnormal child psychology. 2008;36:299–310. doi: 10.1007/s10802-007-9178-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lebloch EK, King S. Child sexual exploitation: A partnership response and model intervention. Child Abuse Review. 2006;15:362–372. [Google Scholar]
- Leeb RT, Barker LE, Strine TW. The effect of childhood physical and sexual abuse on adolescent weapon carrying. The Journal of adolescent health : official publication of the Society for Adolescent Medicine. 2007;40:551–558. doi: 10.1016/j.jadohealth.2007.01.006. [DOI] [PubMed] [Google Scholar]
- Leverentz AM. The love of a good man? Romantic relationships as a source or support or hindrance for female ex-offenders. Journal of Research in Crime and Delinquency. 2006;43:459–488. [Google Scholar]
- Liu X, Kaplan HB. Explaining the gender difference in adolescent delinquent behavior: A longitudinal test of longitudinal test of mediating mechanisms. Criminology. 1999;37:195–216. [Google Scholar]
- Lorber J. Paradoxes of Gender. New Haven: Yale University Press; 1994. [Google Scholar]
- Lynam DR, Leukefeld C, Clayton RR. The contribution of personality to the overlap between antisocial behavior and substance use/ misuse. Aggressive Behavior. 2003;29:316–331. [Google Scholar]
- Lynne SD, Graber JA, Nichols TR, Brooks-Gunn J, Botvin GJ. Links between pubertal timing, peer influences, and externalizing behaviors among urban students followed through middle school. Journal of Adolescent Health. 2007;40:181. doi: 10.1016/j.jadohealth.2006.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- MacMillan HL, Fleming JE, Streiner DL, et al. Childhood abuse and lifetime psychopathology in a community sample. American Journal of Psychiatry. 2001;158:1878–1883. doi: 10.1176/appi.ajp.158.11.1878. [DOI] [PubMed] [Google Scholar]
- Magnusson D, Stattin H, Allen V. Biological maturation and social development: A longitudinal study of some adjustment processes from mid-adolescence to adulthood. Journal of Youth and Adolescence. 1986;14:267–283. doi: 10.1007/BF02089234. [DOI] [PubMed] [Google Scholar]
- Manlove J. Early motherhood in an intergenerational perspective: The experiences of a British cohort. Journal of Marriage and the Family. 1997;59:263–279. [Google Scholar]
- Manongdo JA, Ramirez Garcia JI. Mothers' parenting dimensions and adolescent externalizing and internalizing behaviors in a low-income, urban Mexican American sample. Journal of Clinical Child & Adolescent Psychology. 2007;36:593–604. doi: 10.1080/15374410701662733. [DOI] [PubMed] [Google Scholar]
- Mason W, et al. Sexual and physical abuse among incarcerated youth: implications for sexual behavior, contraceptive use, and teenage pregnancy. Child Abuse & Neglect. 1998;22(10):987–995. doi: 10.1016/s0145-2134(98)00080-5. [DOI] [PubMed] [Google Scholar]
- McClellan DS, Farabee D, Crouch BM. Early victimization, drug use, and criminality: A comparison of male and female prisoners. Criminal Justice & Behavior. 1997;24:455–477. [Google Scholar]
- McCormak A, Janus M, Burgess AW. Runaway youths and sexual victimization: Gender differences in an adolescent runaway population. Child Abuse & Neglect. 1986;10:387–395. doi: 10.1016/0145-2134(86)90014-1. [DOI] [PubMed] [Google Scholar]
- McDonald R, Jouriles EN, Tart CD, Minze LC. Children’s adjustment problems in families characterized by men’s severe violence toward women: Does other family violence matter? Child Abuse & Neglect. 2009;33:94–101. doi: 10.1016/j.chiabu.2008.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McGue M, Iacono WG, Krueger RF. The association of early adolescent problem behavior and adult psychopathology: A multivariate behavioral genetic perspective. Behavior Genetics. 2006;36:591–602. doi: 10.1007/s10519-006-9061-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mears DP, Ploeger M, Warr M. Explaining the gender gap in delinquency: Peer influence and moral evaluations of behavior. Journal of Research in Crime and Delinquency. 1998;35:251–266. [Google Scholar]
- Miller JD, Lynam D. Structural models of personality and their relation to antisocial behavior: A meta-analytic review. Criminology. 2001;39:765–798. [Google Scholar]
- Miller J. Getting Played: African American Girls, Urban Inequality, and Gendered Violence. New York: NYU Press; 2008. [Google Scholar]
- Miller S. The paradox of women arrested for domestic violence: Criminal justice professionals and service providers respond. Violence Against Women. 2001;7:1–24. [Google Scholar]
- Miller SL, Meloy ML. Women’s Use of Force: Voices of Women Arrested for Domestic Violence. Violence Against Women. 2006;12:89–115. doi: 10.1177/1077801205277356. [DOI] [PubMed] [Google Scholar]
- Miner JL, Clarke-Stewart KA. Trajectories of externalizing behavior from Age 2 to Age 9: Relations with gender, temperament, ethnicity, parenting, and rater. Developmental Psychology. 2008;44:771–786. doi: 10.1037/0012-1649.44.3.771. [DOI] [PubMed] [Google Scholar]
- Moffitt TE, Caspi A. Childhood predictors differentiate life-course persistent and adolescent-limited antisocial pathways among males and females. Development and Psychopathology. 2001;13:355–375. doi: 10.1017/s0954579401002097. [DOI] [PubMed] [Google Scholar]
- Moffitt TE, Caspi A, Dickman N, Silva P, Stanton W. Childhood-onset versus adolescent-onset antisocial conduct problems in males: Natural history from ages 3 to 18 years. Development and Psychopathology. 1996;8:399–424. [Google Scholar]
- Moffitt TE, Caspi A, Harrington H, Milne BJ. Males on the life-course-persistent and adolescence-limited antisocial pathways: Follow-up at age 26 years. Development and Psychopathology. 2002;14:179–207. doi: 10.1017/s0954579402001104. [DOI] [PubMed] [Google Scholar]
- Moffitt TE, Caspi A, Rutter M, Silva PA. Sex differences in antisocial behavior: Conduct disorder, delinquency, and violence in the Dunedin Longitudinal Study. Cambridge, England: Cambridge University Press; 2001. [Google Scholar]
- Moffitt TE. Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review. 1993;100:674–701. [PubMed] [Google Scholar]
- Moffitt TE, Caspi A, Belsky J, Silva PA. Childhood experience and the onset of menarche: A test of a sociobiological model. Child Development. 1992;63:47–58. doi: 10.1111/j.1467-8624.1992.tb03594.x. [DOI] [PubMed] [Google Scholar]
- Moffitt TE, Caspi A, Harrington H, Milne BJ. Males on the life-course-persistent and adolescence-limited antisocial pathways: Follow-up at age 26 years. Development and Psychopathology. 2002;14:179–207. doi: 10.1017/s0954579402001104. [DOI] [PubMed] [Google Scholar]
- Morati B, Dirks D, Matteson AV. Roles of sexual objectification experiences and internalization of standards of beauty in eating disorder symptomatology: A test and extension of objectification theory. Journal of Counseling Psychology. 2005;52:420–428. [Google Scholar]
- Morgan P, Joe KA. Citizens and outlaws: The private lives and public lifestyles of women in the illicit drug economy. Journal of Drug Issues. 1996;26:125–142. [Google Scholar]
- Najman JM, Hayatbakhsh MR, McGee TR, Bor W, O'Callaghan MJ, Williams GM, et al. The Impact of Puberty on Aggression/Delinquency: Adolescence to Young Adulthood. Australian and New Zealand Journal of Criminology. 2009;42:369–386. [Google Scholar]
- Negriff S, Fung MT, Trickett PK. Self-Rated Pubertal Development, Depressive Symptoms and Delinquency: Measurement Issues and Moderation by Gender and Maltreatment. Journal of Youth and Adolescence. 2008;37:736–746. doi: 10.1007/s10964-008-9274-y. Springer Netherlands. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Negriff S, Trickett PK. The relationship between pubertal timing and delinquent behavior in maltreated male and female adolescents. The Journal of Early Adolescence. 2009 doi: 10.1177/0272431609338180. 0: 0272431609338180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nigg JT. Temperament and developmental psychopathology. Journal of Child Psychology and Psychiatry. 2006;47:395–422. doi: 10.1111/j.1469-7610.2006.01612.x. [DOI] [PubMed] [Google Scholar]
- Nilsson KW, Sjoberg RL, Wargelius HL, Leppert J, Lindstrom L, Oreland L. The monoamine oxidase A (MAO-A) gene, family function and maltreatment as predictors of destructive behaviour during male adolescent alcohol consumption. Addiction. 2007;102:389–398. doi: 10.1111/j.1360-0443.2006.01702.x. [DOI] [PubMed] [Google Scholar]
- Nolen-Hoeksema S, Larson J, Grayson C. Explaining the gender difference in depressive symptoms. Journal of Personality and Social Psychology. 1999;77:1061–1072. doi: 10.1037//0022-3514.77.5.1061. [DOI] [PubMed] [Google Scholar]
- Norton-Hawk M. A comparison of pimp- and non-pimp-controlled women. Violence Against Women. 2004;10:189–194. [Google Scholar]
- Obeidallah D, Brennan RT, Brooks-Gunn J, Earls F. Links between puberty timing, neighborhood contexts, and girls’ violent behavior. Journal of the American Academy of Child and Adolescent Psychiatry. 2004;429:1460–1468. doi: 10.1097/01.chi.0000142667.52062.1e. [DOI] [PubMed] [Google Scholar]
- Odgers CL, Moffitt TE, Caspi A, Broadbent JM, Dickson NP, Hancox R, Harrington H, Poulton R, Sears MR, Thomson WM. Female and male antisocial trajectories: From childhood origins to adult outcomes. Development and Psychopathology. 2008;20:673–716. doi: 10.1017/S0954579408000333. [DOI] [PubMed] [Google Scholar]
- Owen B. In the mix: Struggle and survival in a women's prison. Albany: State University of New York Press; 1998. [Google Scholar]
- Pajer KA. What happens to "bad" girls? A review of the adult outcomes of antisocial adolescent girls. The American journal of psychiatry. 1998;155:862–870. doi: 10.1176/ajp.155.7.862. [DOI] [PubMed] [Google Scholar]
- Pettit GS, Laird RD, Dodge KA, Bates JE, Criss MM. Antecedents and behavior-problem outcomes of parental monitoring and psychological control in early adolescence. Child Development. 2001;72:583–598. doi: 10.1111/1467-8624.00298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pettiway L. Workin’ it: Women living through drugs and crime. Philadelphia: Temple University Press; 1997. [Google Scholar]
- Phan D, Kingree JB. Sexual Abuse Victimization and Psychological Distress Among Adolescent Offenders. Journal of Child Sexual Abuse. 2002;10:81–90. [PubMed] [Google Scholar]
- Pheterson G. The whore stigma: Female dishonor and male unworthiness. Social Text. 1993;37:39–64. [Google Scholar]
- Piquero NL, Gover AR, MacDonald JM, Piquero AR. The Influence of Delinquent Peers on Delinquency: Does gender matter? Youth & Society. 2005;36:251–275. [Google Scholar]
- Prichard Z, Mackinnon A, Jorm AF, Easteal S. No evidence fore interaction between MAOA and childhood adversity for antisocial behavior. Am J Med Genet B Neuropsychiatr Genet. 2008;147B:228–232. doi: 10.1002/ajmg.b.30581. [DOI] [PubMed] [Google Scholar]
- Prilleltensky Isaac, Gonick Lev. Politics change, oppression remains: On the psychology and politics of oppression. Political Psychology. 1996;17:127–148. [Google Scholar]
- Prom-Wormley EC, Eaves LJ, Foley DL, Gardner CO, Archer KJ, Wormley BK, Maes HH, Riley BP, Silberg JL. Monoamine oxidase A and childhood adversity as risk factors for conduct disorder in females. Psychological Medicine. 2008 doi: 10.1017/S0033291708004170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rebellon C, Manasse M. Do “bad boys” really get the girls? Delinquency as a cause and consequence of dating behavior among adolescents. Justice Quarterly. 2004;21:355–389. [Google Scholar]
- Reitz E, Dekovic M, Meiger AM. Relations between parenting and externalizing and internalizing problem behavior in early adolescence: Child behavior as moderator and predictor. Journal of Adolescence. 2006;29:419–436. doi: 10.1016/j.adolescence.2005.08.003. [DOI] [PubMed] [Google Scholar]
- Renzetti CM, Edelson JL, Bergen RK, editors. The sourcebook on violence against women. Thousand Oaks, Calif.: Sage Publications; 2001. [Google Scholar]
- Repetti R, Taylor SE, Seeman TE. Risky families: Family social environments and the mental and physical health of offspring. Psychological Bulletin. 2002;128:330–366. [PubMed] [Google Scholar]
- Rhee SH, Waldman ID. Genetic and environmental influences on antisocial behavior: A meta-analysis of twin and adoption studies. Psychological Bulletin. 2002;128:490–529. [PubMed] [Google Scholar]
- Rhee SH, Waldman ID, Hay DA, Levy F. Sex differences in genetic and environmental influences on DSM–III–R attention-deficit/hyperactivity disorder. Journal of Abnormal Psychology. 1999;108:24–41. doi: 10.1037/0021-843X.108.1.24. [DOI] [PubMed] [Google Scholar]
- Riger S. Epistemological debates, feminist voices: Science, social values, and the study of women. American Psychologist. 1992;47:730–740. [Google Scholar]
- Rind B, Tromovitch P, Bauserman R. A meta-analytic examination of assumed properties of child sexual abuse using college samples. Psychological Bulletin. 1998;124:22–53. doi: 10.1037/0033-2909.124.1.22. [DOI] [PubMed] [Google Scholar]
- Risch N, Herrell R, Lehner T, Liang K, Eaves L, et al. Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression. JAMA. 2009;301:2462–2471. doi: 10.1001/jama.2009.878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robbins PC, Monahan J, Silver E. Mental disorders, violence, and gender. Law and Human Behavior. 2003;27:561–571. doi: 10.1023/b:lahu.0000004886.13268.f2. [DOI] [PubMed] [Google Scholar]
- Roberts BW, Caspi A, Moffitt TE. The kids are alright: Growth and stability in personality development from adolescence to adulthood. Journal of Personality and Social Psychology. 2001;81:670–683. [PubMed] [Google Scholar]
- Rothbaum F, Weisz JR. Parental caregiving and child externalizing behavior in nonclinical samples: A meta-analysis. Psychological Bulletin. 1994;116:55–74. doi: 10.1037/0033-2909.116.1.55. [DOI] [PubMed] [Google Scholar]
- Russell A, Hart CH, Robinson CC, Olsen S. Children’s sociable & aggressive behaviour with peers: A comparison of the US and Australia, and contributions of temperament & parenting styles. International Journal of Behavioral Development. 2003;27:74–86. [Google Scholar]
- Rutherford MJ, Alterman AI, Cacciola JS, Snider EC. Gender differences in diagnosing antisocial personality disorder in methadone patients. American Journal of Psychiatry. 1995;152:1309–1316. doi: 10.1176/ajp.152.9.1309. [DOI] [PubMed] [Google Scholar]
- Samples N, Cinq-mars C, Cyr M. Behaviors of Adolescent Female Victims of Child Sexual Abuse : Rates and Covariates in Clinical. 2004;19:627–643. doi: 10.1891/vivi.19.6.627.66343. [DOI] [PubMed] [Google Scholar]
- Sampson RJ, Laub JH. Crime in the making: Pathways and turning points through life. Cambridge, MA: Harvard University Press; 1993. [Google Scholar]
- Saunders DG. Are physical assaults by wives and girlfriends a major social problem? A review of the literature. Violence Against Women. 2002;8:1424–1448. [Google Scholar]
- Scaramella LV, Conger RD, Simons RL. Parenting protective influences and gender-specific increases in adolescent internalizing and externalizing problems. Journal of Research on Adolescence. 1999;9:111–141. [Google Scholar]
- Schaeffer CM, Petras H, Ialongo N, Masyn KE, Hubbard S, Poduska J, Kellam S. A comparison of girls' and boys' aggressive-disruptive behavior trajectories across elementary school: Prediction to young adult antisocial outcomes. Journal of Consulting and Clinical Psychology. 2006;74:500–510. doi: 10.1037/0022-006X.74.3.500. [DOI] [PubMed] [Google Scholar]
- Schechter S. Women and male violence: The visions and struggles of the battered women's movement. Cambridge, MA: South End Press; 1982. [Google Scholar]
- Seffrin P, Giordano P, Manning W, Longmore M. The Influence of Dating Relationships on Friendship Networks, Identity Development, and Delinquency. Justice Quarterly. 2009;26:238–267. doi: 10.1080/07418820802245052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharpe K. Red Light, Blue Light: Prostitutes, Punters and the Police. Ashgate: Aldershot; 1998. [Google Scholar]
- Siegel JA, Williams LM. The relationship between child sexual abuse and female delinquency and crime: A prospective study. Journal of Research in Crime and Delinquency. 2003;40:71–94. [Google Scholar]
- Silbereisen RK, Kracke B. Self-reported maturational timing and adaptation in adolescence. In: Schulenberg J, Maggs JL, Hurrelmann K, editors. Health Risks and Developmental Transitions During Adolescence. MA: Cambridge University Press; 1997. [Google Scholar]
- Silverthorn P, Frick PJ. Developmental pathways to antisocial behavior: delayed onset pathway in girls. Development and Psychopathology. 1999;11:101–126. doi: 10.1017/s0954579499001972. [DOI] [PubMed] [Google Scholar]
- Silverthorn P, Frick PJ, Reynolds R. Timing of onset and correlates of severe problems in adjudicated girls and boys. Journal of Psychopathology and Behavioral Assessment. 2001;23:171–181. [Google Scholar]
- Simons RL, Stewart E, Gordon LC, Conger RD, Elder GH., Jr A test of life-course explanations for stability and change in antisocial behavior from adolescence to young adulthood. Criminology. 2002;40:401–434. [Google Scholar]
- Simons RL, Whitbeck LB. Sexual abuse as a precursor to prostitution and victimization among adolescent and adult homeless women. Journal of Family Issues. 1991;12:361–379. [Google Scholar]
- Simpson SS, Yahner JL, Dugan L. Understanding women's pathways to jail: Analyzing the lives of incarcerated women. The Australian and New Zealand Journal of Criminology. 2008;41:84–108. [Google Scholar]
- 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;33:425–430. doi: 10.1038/sj.npp.1301417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sjoberg RL, Nilsson KW, Wargelius H, Leppert J, Lindstrom L, Oreland L. Adolescent girls and criminal activity: Role of MAOA-LPR genotype and psychosocial factors. American Journal of Medical Genetics Part B (Neuropsychiatric Genetics) 2007;144:159. doi: 10.1002/ajmg.b.30360. [DOI] [PubMed] [Google Scholar]
- Snell TL, Morton DC. Women in prison. Washington, DGDC: Bureau of Justice Statistics; 1994. (Special report) [Google Scholar]
- Snyder HN, Sickmund M. Juvenile offenders and victims: 2006 National Report. Washington, D.C.: Office of Juvenile Justice and Delinquency Prevention; 2006. [Google Scholar]
- Soenens B, Vansteenkiste M, Luyckx K, Goossens L. Parenting and adolescent problem behavior: an integrated model with adolescent self-disclosure and perceived parental knowledge as intervening variables. Developmental psychology. 2006;42(2):305–318. doi: 10.1037/0012-1649.42.2.305. [DOI] [PubMed] [Google Scholar]
- Spice W. Management of sex workers and other high-risk groups. Occupational Medicine. 2007;57:322–328. doi: 10.1093/occmed/kqm045. [DOI] [PubMed] [Google Scholar]
- Stacey J, Thorne B. The missing feminist revolution in sociology. Social Problem. 1985;32:301–316. [Google Scholar]
- Stark C, Hodgson C. Sister oppressions: A comparison of wife battering and prostitution. Journal of Trauma Practice. 2003;2:17–32. [Google Scholar]
- Stattin H, Kerr M. Parental monitoring: A reinterpretation. Child Development. 2000;71:1072–1085. doi: 10.1111/1467-8624.00210. [DOI] [PubMed] [Google Scholar]
- Stattin H, Magnusson D. Pubertal Maturation in Female Development, vol.2: Paths through Life. Erlbaum: 1990. [Google Scholar]
- Steffensmeier D, Allan E. Gender and crime: Toward a gendered theory of female offending. Annual Review of Sociology. 1996;22:459–487. [Google Scholar]
- Stice E, Schupak-Neuberg E, Shaw HE, Stein RI. Relation of media exposure to eating disorder symptomatology: An examination of mediating mechanisms. Journal of Abnormal Psychology. 1994;103:836–840. doi: 10.1037//0021-843x.103.4.836. [DOI] [PubMed] [Google Scholar]
- Su R, Rounds J, Armstrong PI. Men and things, women and people: a meta-analysis of sex differences in interests. Psychological bulletin. 2009;135(6):859–884. doi: 10.1037/a0017364. [DOI] [PubMed] [Google Scholar]
- Susman EJ, Dockray S, Schiefelbein VL, Herwehe S, Heaton JA, Dorn LD, et al. Morningness/eveningness, morning-to-afternoon cortisol ratio, and antisocial behavior problems during puberty. Developmental psychology. 2007;43:811–822. doi: 10.1037/0012-1649.43.4.811. [DOI] [PubMed] [Google Scholar]
- Susman EJ, Dockray S, Granger Da, Blades KT, Randazzo W, Heaton Ja, et al. Cortisol and alpha amylase reactivity and timing of puberty: vulnerabilities for antisocial behaviour in young adolescents. Psychoneuroendocrinology. 2010;35:557–569. doi: 10.1016/j.psyneuen.2009.09.004. Elsevier Ltd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Susman EJj, Dorn LD. Puberty: Its role in development. In: Lerner RM, Steinberg L, editors. Handbook of adolescent psychology. 3rd. Hoboken: Wiley; 2009. [Google Scholar]
- Svensson R. The impact of parental monitoring and peer deviance. Youth and Society. 2003;34:300–329. [Google Scholar]
- Taylor A, Kim-Cohen J. Meta-analysis of gene–environment interactions in developmental psychopathology. Developmental Psychopathology. 2007;19:1029–1037. doi: 10.1017/S095457940700051X. [DOI] [PubMed] [Google Scholar]
- Thornberry TP, Freeman-Gallant A, Lizotte AJ, Krohn MD, Smith CA. Linked lives: The intergenerational transmission of antisocial behavior. Journal of Abnormal Child Psychology. 2003;31:171–184. doi: 10.1023/a:1022574208366. [DOI] [PubMed] [Google Scholar]
- Thrane LE, Hoyt DR, Whitbeck LB, Yoder KA. Impact of family abuse on running away, deviance, and street victimization among homeless rural and urban youth. Child Abuse & Neglect. 2006;30:1117–1128. doi: 10.1016/j.chiabu.2006.03.008. [DOI] [PubMed] [Google Scholar]
- Tjaden P, Thoennes N. Extent, nature, and consequences of intimate partner violence. U.S. Department of Justice; 2000. NCJ 181867. [Google Scholar]
- Travis J. Defining a research agenda on women and justice in the age of mass incarceration. Women & Criminal Justice. 2007;17:127–136. [Google Scholar]
- Trotter JL, Allen NE. The good, the bad, the ugly: Domestic violence survivors’ experiences with their informal social networks. American Journal of Community Psychology. 2009 doi: 10.1007/s10464-009-9232-1. [DOI] [PubMed] [Google Scholar]
- Turkheimer E, Haley A, Waldron M, D'Onofrio B, Gottesman I. Socioeconomic status modifies heritability of IQ in young children. Psychological Science. 2003;14:623–628. doi: 10.1046/j.0956-7976.2003.psci_1475.x. [DOI] [PubMed] [Google Scholar]
- Tuvblad C, Eley TC, Lichtenstein P. The development of antisocial behaviour from childhood to adolescence. A longitudinal twin study. European Child and Adolescent Psychiatry. 2005;14:216–225. doi: 10.1007/s00787-005-0458-7. [DOI] [PubMed] [Google Scholar]
- Tuvblad C, Grann M, Lichtenstein P. Heritability for adolescent antisocial behavior differs with socioeconomic status: gene-environment interaction. The Journal of Child Psychology and Psychiatry. 2005;47:734–743. doi: 10.1111/j.1469-7610.2005.01552.x. [DOI] [PubMed] [Google Scholar]
- Tyler Ka, Johnson Ka, Brownridge DA. A Longitudinal Study of the Effects of Child Maltreatment on Later Outcomes among High-risk Adolescents. Journal of Youth and Adolescence. 2007;37:506–521. [Google Scholar]
- U.S. Department of Education, National Center for Education Statistics. Postsecondary Institutions in the United States: Fall 2003 and Degrees and Other Awards Conferred: 2002–03. 2005. (NCES 2005-154) [Google Scholar]
- Van Hulle CA, Rodgers JL, D’Onofrio BM, Waldman ID, &Lahey BB. Sex differences in the causes of self-reported adolescent delinquency. Journal of Abnormal Psychology. 2007;116:236–248. doi: 10.1037/0021-843X.116.2.236. [DOI] [PubMed] [Google Scholar]
- Verona E, Sachs-Ericsson N. The intergenerational transmission of externalizing behaviors in adult participants: The mediating role of childhood abuse. Journal of Consulting and Clinical Psychology. 2005;73:1135–1145. doi: 10.1037/0022-006X.73.6.1135. [DOI] [PubMed] [Google Scholar]
- Vieno A, Nation M, Pastore M, Santinello M. Parenting and antisocial behavior: a model of the relationship between adolescent self-disclosure, parental closeness, parental control, and adolescent antisocial behavior. Developmental psychology. 2009;45(6):1509–1519. doi: 10.1037/a0016929. [DOI] [PubMed] [Google Scholar]
- Wakschlag LS, Kistner EO, Pine DS, Biesecker G, Pickett KE, Skol AD, Dukic V, Blair RJ, Leventhal BL, Cox NJ, Burns JL, Kasza KE, Wright RJ, Cook EH. Interaction of prenatal exposure to cigarettes and MAOA genotype in pathways to youth antisocial behavior. Molecular Psychiatry. 2009:1–10. doi: 10.1038/mp.2009.22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wasco S, Bond MA. The treatment of gender in community psychology research. In: Chrisler J, McCreary D, editors. Handbook of gender research in psychology. NY, NY: Springer; (in press). [Google Scholar]
- Werner NE, Crick NR. Relational aggression and social-psychological adjustment in a college sample. Journal of Abnormal Psychology. 1999;108:615–623. doi: 10.1037//0021-843x.108.4.615. [DOI] [PubMed] [Google Scholar]
- Westling E, Andrews JA, Hampson SE, Peterson M. Pubertal timing and substance use: The effects of gender, parental monitoring and deviant peers. Journal of Adolescent Health. 2008;42:555–563. doi: 10.1016/j.jadohealth.2007.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- White NA, Piquero AR. A preliminary test of Silverthorn and Frick’s delayed - onset pathway in girls using an urban, African-American, US-based sample. Criminal Behaviour and Mental Health. 2004;14:291–309. doi: 10.1002/cbm.595. [DOI] [PubMed] [Google Scholar]
- White HR, Widom CS. Intimate partner violence among abused and neglected children in young adulthood: The mediating effects of early aggression, antisocial personality, hostility, and alcohol problems. Aggressive Behavior. 2003;29:332–345. [Google Scholar]
- Widom CS. Does violence beget violence? A critical examination of the literature. Psychological Bulletin. 1989;106:3–28. doi: 10.1037/0033-2909.106.1.3. [DOI] [PubMed] [Google Scholar]
- Widom CP, Ames MA. Criminal consequences of childhood sexual victimization. Child Abuse & Neglect. 1994;18:303–318. doi: 10.1016/0145-2134(94)90033-7. [DOI] [PubMed] [Google Scholar]
- Widom CS, Brzustowicz LM. MAOA and the ‘cycle of violence:’ Childhood abuse and neglect, MAOA genotype, and risk for violent and antisocial behavior. Biological Psychiatry. 2006;60:684–689. doi: 10.1016/j.biopsych.2006.03.039. [DOI] [PubMed] [Google Scholar]
- Widom C, Kuhns J. Childhood victimization and subsequent risk for promiscuity, prostitution, and teenage pregnancy: A prospective study. American Journal of Public Health. 1996;86:1607–1612. doi: 10.2105/ajph.86.11.1607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wiesner M, Capaldi DM. Relations of childhood and adolescent factors to offending trajectories of young men. Journal of Research in Crime and Delinquency. 2003;40:231–262. [Google Scholar]
- Willis K, Rushforth C. The female criminal: An overview of women’s drug use and offending behavior. Australian Institute of Criminology, Trends and Issues in Crime and Criminal Justice. 2003;264 [Google Scholar]
- Windle M, Brener N, Cuccaro P, Dittus P, Kanouse DE, Murray N, et al. Parenting predictors of early-adolescents' health behaviors: simultaneous group comparisons across sex and ethnic groups. Journal of youth and adolescence. 2010;39(6):594–606. doi: 10.1007/s10964-009-9414-z. Springer Netherlands. [DOI] [PubMed] [Google Scholar]
- Wood W, Eagly AH. A cross cultural analysis of the behavior of women and men: Implications for the origins of sex differences. Psychological Bulletin. 2002;128:699–727. doi: 10.1037/0033-2909.128.5.699. [DOI] [PubMed] [Google Scholar]
- Wright J, Friedrich W, Cinq-Mars C, Cyr M, McDuff P. Self-Destructive and Delinquent Behaviors of Adolescent Female Victims of Child Sexual Abuse: Rates and Covariates in Clinical and Nonclinical Samples. Violence and Victims. 2004;19:627–643. doi: 10.1891/vivi.19.6.627.66343. Springer Publishing Company. [DOI] [PubMed] [Google Scholar]
- Yacoubian GS, Urbach BJ, Larsen KL, Johnson RJ, Peters RJ., Jr A comparison of drug use between prostitutes and other female arrestees. Journal of Alcohol and Drug Education. 2001;46:12–26. [Google Scholar]
- Young SE, Smolen A, Hewitt JK, Haberstick BC, Stalings MC, et al. Interaction between MAO-A genotype and maltreatment in the risk for conduct disorder: failure to confirm in adolescent patients. American Journal of Psychiatry. 2006;163:1019–1025. doi: 10.1176/ajp.2006.163.6.1019. [DOI] [PubMed] [Google Scholar]
- Zabin SL, Emerson MR, Rowland DL. Childhood sexual abuse and early menarche: The direction of their relationship and its implications. Journal of Adolescent Health. 2005;36:393–400. doi: 10.1016/j.jadohealth.2004.07.013. [DOI] [PubMed] [Google Scholar]
- Zahn, et al. U.S. Department of Justice, Office of Justice Programs; 2010. Girls Study Group: Understanding and responding to girls' delinquency. [Google Scholar]
- Zhou Q, Eisenberg N, Losoya SH, Fabes RA, Reiser M, Guthrie IK, Murphy BC, Cumberland AJ, Shepard SA. The relations of parental warmth and positive expressiveness to children’s empathy-related responding and social functioning: A longitudinal study. Child Development. 2002;73:893–915. doi: 10.1111/1467-8624.00446. [DOI] [PubMed] [Google Scholar]