Abstract
This multi-wave longitudinal study investigated potential transactional and accumulating influences among co-rumination, interpersonal stressors, and internalizing symptoms among a sample of early and middle adolescents (N=350; 6th–10th graders). Youth completed self-report measures of co-rumination at Times 1, 2, and 4, and negative life events, internalizing symptoms (general depressive, specific anhedonic depressive, anxious arousal, general internalizing) and externalizing problems at all four time points (5 weeks between each assessment across 4 months). Results supported hypotheses. First, baseline co-rumination predicted prospective trajectories of all forms of internalizing symptoms but not externalizing problems. Second, baseline co-rumination predicted generation of interpersonal dependent, but not interpersonal independent or non-interpersonal stressors. Third, interpersonal dependent events partially mediated the longitudinal association between baseline co-rumination and prospective internalizing symptoms. Fourth, a transactional, bi-directional set of associations was supported in that initial internalizing symptoms and stressors predicted later elevations in co-rumination, and in turn, co-rumination predicted later symptoms through the mediating role of interpersonal stressors to complete both streams in the transactional chain of influence. Finally, girls and older adolescents exhibited higher co-rumination, but neither age nor sex moderated any associations. These findings are discussed within a transactional, developmental cascade model.
Keywords: co-rumination, interpersonal stress generation, internalizing symptoms, transactional
Internalizing symptoms among children and adolescents are serious and often chronic problems that are associated with significant distress and impairment throughout the lifespan (Abela & Hankin, 2008; Rudolph, Hammen, & Daley, 2006). Depressive and internalizing symptoms demonstrate substantial continuity over time (e.g., Tram & Cole, 2006), yet the mechanisms that contribute to this continuity are less well understood (Rutter, Kim-Cohen, & Maughan, 2006). Adolescent social and emotional functioning derives from various multi-level factors and processes converging and transacting in social contexts over time (Steinberg, Dahl, Keating, Kupfer, Masten & Pine, 2006). Interpersonal theories of depression postulate that depressed individuals’ behaviors elicit rejection, conflict and stress in their relationships, and in turn, these problematic relationships lead to the maintenance or exacerbation of internalizing problems over time (Coyne, 1976; Hammen, 1992, 2006; Joiner & Coyne, 1999; Rudolph, Flynn, & Abaied, 2008). These interpersonal theories are inherently transactional, although most of the supporting evidence for these interpersonal influences has not employed appropriate multi-wave longitudinal designs or examined transactional effects adequately.
The purpose of the present research was to examine transactional influences and accumulating effects among co-rumination--a recently proposed interpersonal process of extensively discussing and self-disclosing emotional problems within a dyadic relationship (Rose, 2002)-- internalizing symptoms, and stressful life events among adolescents. Based on transactional (e.g., Sameroff, 2000; Sameroff & Chandler, 1975; Sameroff & MacKenzie, 2003) and developmental cascade models (Masten, Roisman, Long, Burt, Obradovic, Riley, et al., 2005) and drawing from interpersonal theories of depression (e.g., Joiner, Coyne & Blalock, 1999), this multi-wave study examined the over-arching hypothesis that youth who tend to co-ruminate would be more likely to exhibit prospective trajectories of internalizing symptoms because the process of co-rumination, while providing emotional support and leading to closer friendships (Rose, 2002), would also generate additional interpersonal stressors (i.e,. stress generation, Hammen, 1991, 2006), and greater interpersonal stressors, in turn, would contribute to elevations in internalizing symptoms. In addition and consistent with a developmental cascade model, the accumulating effects of greater stressors and higher levels of internalizing symptoms over time would be more likely to predict greater co-rumination in the future, and this would transactionally continue the dynamic, escalating cycle of co-rumination, interpersonal stress generation, and increasing internalizing symptoms that may have the potential to account for the strong continuity in depressive and internalizing symptoms over time.
Transactional perspectives emphasize the complex interchanges occurring between youth and others over time. From a transactional viewpoint, there is a dynamic chain of influences in which social experiences, such as within one’s peer group, are posited to shape, and in turn, be shaped by adolescents’ characteristics (Caldwell, Rudolph, Troop-Gordon, & Kim, 2004; Ladd & Troop-Gordon, 2003). The principle of dynamic interactionism suggests that youth actively select, process, and contribute to their social contexts such that their individual characteristics are maintained, or exacerbated, over time (Caspi et al., 1987, 1988; Lerner, 1987). Masten and colleagues (2005) note that there are “surprisingly few longitudinal studies that control for preexisting and ongoing concurrent associations so that models of bidirectional influences and progressive effects from one domain of adaptation to another can be evaluated in a developmental perspective” (pg. 733). They delineated a developmental cascade model, which posits that “functioning in one domain of adaptive behavior spills over to influence functioning in other domains in a lasting way” (Masten et al., 2005, pg 735). This cascade model thus incorporates several testable developmental processes: (1) maladaptive functioning (e.g., symptoms or stressors) will accumulate over time, (2) problems in one arena (e.g., co-rumination) likely spill over to other domains (e.g., stressors in interpersonal domains, internalizing symptoms), and (3) one process (e.g., co-rumination) can undermine functioning in another domain (e.g., interpersonal relationships), which in turn, increases internalizing symptoms. As such, transactional and developmental cascade models are complementary perspectives for understanding the unfolding of co-rumination, interpersonal stressors, and internalizing symptoms over time. These models propose complex, dynamic chains of influence over time and across different domains that affect, and are affected by, each other. These models provide the conceptual framework for the present study.
Co-rumination
Developmental research shows the increasing role that interpersonal influences, especially with peers in contrast to parents, play during adolescence (Brown, 1990; Furman & Buhrmester, 1992; Harter, Stocker, & Robinson, 1996; Hergovich, Sirsch, & Felinger, 2002). With enhanced interactions with peers comes greater potential for positive and negative tradeoffs associated with stronger and closer peer relationships. Co-rumination is a process that is hypothesized to be a social manifestation of rumination (Rose, 2002) that involves such tradeoffs. Co-rumination is defined as an extreme form of negative self-disclosure in which individuals extensively discuss their problems within a dyadic relationship (Rose, 2002). Co-rumination combines aspects of self-disclosure and rumination, such that by mutually promoting talk about problems and the negative affective aspects of problems, co-rumination may operate as a vulnerability to emotional difficulties. Further, the current literature on co-rumination delineates both positive and negative aspects of peer friendships, (e.g., increased friendship quality, and elevated internalizing symptoms, respectively), consistent with the perspective that close peer relationships involve some inherent trade-offs. In this way, co-rumination, especially over time and potentially across multiple relationships, may result in more emotional costs than benefits.
Co-rumination and internalizing symptoms
Co-rumination has been shown to be associated concurrently (Rose, 2002; Rose Schwartz, & Carlson, 2005) and prospectively (Rose et al., 2007) with internalizing symptoms of anxiety and depression (see summary by Bukowski, Adame, & Santo, 2006). Rose’s cross-sectional analysis (2002) found that co-rumination correlated with internalizing symptoms as well as with higher friendship quality. Further, girls reported higher levels of co-rumination, and this effect increased with age in Rose’s sample of youth from late childhood to early adolescence. These findings were replicated in a cross sectional study of mothers and daughters (Rose et al., 2005). In addition, initial evidence suggests that there is a reciprocal relationship between co-rumination and internalizing symptoms as Rose and colleagues (2007) demonstrated in their 2-time point prospective study (over 6 months) that baseline co-rumination predicted later internalizing symptoms, and initial internalizing symptoms predicted later reports of co-rumination. This suggests a transactional relationship exists between co-rumination and internalizing symptoms and sheds light on a plausible larger framework for understanding the development of internalizing symptoms during the adolescent years.
One aim of this study was to replicate and extend Rose’s initial work suggestive of a reciprocal, transactional relationship using a multi-wave design. Given the methodological limitations with 2-time point studies (Curran & Willoughby, 2003), we wanted to examine prospectively these potentially dynamic, transactional phenomena (Sameroff & MacKenzie, 2003). In addition, we sought to advance knowledge on accumulating effects by including stressors in the model along with co-rumination and internalizing symptoms in order to study a more comprehensive transactional cascade model.
Stress Generation
Negative life events predict prospective increases in internalizing symptoms (Grant & McMahon, 2005; Grant et al., 2003, 2006), but the reverse, in which initial symptoms predict later stressors, has also been shown (see Hammen, 2006, for a review). The process of stress generation, whereby individuals contribute to negative events in their lives (Hammen, 1991), has illuminated the role that individuals actively play in contributing to stressors in their lives. Stress researchers have differentiated between different kinds of stressors, including dependent and independent events, as well as stressors in different developmentally salient domains, including interpersonal and achievement. Dependent events are those that are due, at least in part, to the characteristics or actions of the individual, whereas independent, or fateful events, occur outside of the individual’s behavior or control.
Stress generation theories (e.g., Hammen, 1991, 2006; Hankin & Abramson, 2001) postulate that various individual difference characteristics can lead to stress generation. These stress generation models are broadly consistent with earlier transactional, developmental psychopathological theories of depression (e.g., Cicchetti & Schneider-Rosen, 1984, 1986). Most commonly, elevated levels of depressive symptoms have been studied as one set of characteristics and behaviors that predict later dependent stressors. Since Hammen’s (1991) original study showing that depressed women’s behaviors and characteristics contributed to their experiencing more interpersonal dependent events, many investigations have found that individuals with elevated depressive symptoms experience more dependent stressors, especially in the interpersonal domain (e.g., Adrian & Hammen, 1993; Daley, Hammen, Burge, & Davila, 1997; Davila, Hammen, Burge, Paley & Daley, 1995; Hankin et al., 2007; Rudolph et al., 2000; Wingate & Joiner, 2004).
In addition to elevated depression, other individual characteristics have been studied as potential factors that may generate additional stressors (Hammen, 2006; Pettit & Joiner, 2006). Several interpersonal variables and personality traits related to interpersonal functioning such as reassurance seeking (Potthoff, Holahan, & Joiner, 1995), poor interpersonal problem solving (Davila et al., 1995), self-perceived social skills (Segrin, 2001), sociotropy (Shih, 2006), autonomy (Daley et al., 1997; Nelson, Hammen, Daley, Burge & Davila, 2001), and insecure attachment style (Bottonari et al., 2007; Hankin, Kassel, & Abela, 2005) have been found to contribute to future interpersonal stress.
Yet, the relation between co-rumination and stressors has not been examined. Co-rumination, as a social process with adjustment trade-offs, may be another individual difference characteristic that contributes to dependent stressors, especially those in the interpersonal domain. We hypothesized that co-rumination would prospectively predict higher levels of dependent events, especially interpersonal stressors in contrast to non-interpersonal events. Finally, given that co-rumination has been shown to predict internalizing symptoms and given our hypothesis that co-rumination would predict additional interpersonal dependent stressors, we also examined whether interpersonal dependent stressors would mediate the link between initial co-rumination and prospective elevations in internalizing symptoms.
Sex and age influences on co-rumination, stress-generation, and internalizing symptoms
Sex differences in internalizing problems, such as depression and anxiety, become more pronounced throughout adolescence, although the reasons for this are not understood well (Hankin, Wetter, & Cheely, 2008; Rutter, Caspi, & Moffitt, 2003; Zahn-Waxler, Crick, Shirtcliff, & Woods, 2006). Traditionally, close relationships have been seen as a protective barrier from developing emotional difficulties (Bukowski et al., 1996). Adolescent girls report higher levels of self-disclosure than boys (e.g., Camarena, Sarigiani, & Peterson, 1990; Furman & Buhrmester, 1985; Zarbatany, McDougal, & Hymel, 2000), which in turn, is associated with higher levels of friendship quality (Camarena et al., 1990). So, it is somewhat puzzling that adolescent girls, who report more support from their peer relationships (Burhmester, 1996; Cross & Madson, 1997) and whose relationships are marked by intimacy and closeness (Rose & Rudolph, 2006), are not buffered from internalizing problems. Co-rumination offers one way to address this seeming paradox by suggesting that girls may ruminate on and rehash their emotional problems within their intimate friendships more so than boys. Girls and older adolescents have been shown to exhibit higher levels of all of the constructs examined in this study—co-rumination, stressors, and internalizing symptoms.
Rose (2002) found that girls reported higher levels of co-rumination, which increased with age, whereas boys’ levels were lower and did not increase with age. Further, in their prospective study, co-rumination predicted increases in prospective anxiety and depressive symptoms marginally only for adolescent girls (Rose et al., 2007). Girls not only report higher levels of co-rumination, they also generate more stressors, especially interpersonal events (e.g., Daley et al., 1997; Davila et al., 1995; Hankin et al., 2007; Rudolph & Hammen, 1999). Girls exhibit a greater relational orientation and emphasize friendships more than boys (Burhmester, 1996; Cross & Madson 1997), and girls’ relational orientation may increase their vulnerability to interpersonal stressors and their likelihood of generating interpersonal stressors. We sought to replicate these age and sex effects in co-rumination, and we investigated whether sex moderated the prospective associations among co-rumination, stressors, and internalizing symptoms.
Current study
Question One: Co-rumination and internalizing symptoms
The current study examined the longitudinal associations among co-rumination, stress generation and internalizing symptoms. We first sought to replicate Rose’s cross-sectional (2002) and 2-time point longitudinal (2007) findings by investigating whether baseline co-rumination predicts prospective internalizing symptoms. In addition to examining the previously established relationship between co-rumination and internalizing symptoms, we also investigated whether co-rumination would predict internalizing symptoms compared with externalizing symptoms. Further, we evaluated which of the different aspects of broad internalizing symptoms (i.e., anxiety, general depression, specific anhedonic depression, broad internalizing symptoms) are most strongly associated concurrently and prospectively with co-rumination based on recent conceptual models (Mineka, Watson, & Clark, 1998; Watson, 2005) and evidence (Lahey, Applegate, Waldman, Hankin, & Ricks, 2004; Lahey et al., 2008) on the hierarchical structure of internalizing disorder symptoms. For example, in this study we separated general depressive symptoms, which research has shown to be generally saturated with levels of broad negative affect and may be nonspecific to depression, from anhedonic depression, which is a theoretically and empirically supported facet that is hypothesized to be a relatively purer factor of depression (Clark & Watson, 1991; Watson, 2005; Watson et al., 1995). We then sought to address four additional and novel research questions (see Figure One).
Figure 1.
Representation of hypothesized relationships among co-rumination, stressors, and internalizing symptoms
Question Two: Stress Generation
Does co-rumination contribute to the generation of interpersonal stressors over time? Here, we hypothesized that baseline co-rumination would predict more dependent stressors prospectively and that the relationship would be stronger for events classified as interpersonal than for non-interpersonal.
Question Three: Mediation
What mediates the prospective relationship between co-rumination and internalizing symptoms? Specifically, we hypothesized that interpersonal dependent stressors would mediate the relationship between co-rumination and the later experience of internalizing symptoms. In other words, youth who tend to co-ruminate would be more likely to generate additional interpersonal stressors, and as a result, would exhibit greater internalizing symptoms over time. This hypothesis is consistent with the developmental cascade model in which there is a progression of effects and spill over from one domain to others, such that in the course of this snowballing, one process (i.e., co-rumination) undermines functioning in another domain (i.e., generating interpersonal stressors), which in turn, increases growth in internalizing symptoms over time.
Question Four: Transaction and accumulation of influences over time
Is the association among co-rumination, stressors and internalizing symptoms transactional? Here, we explored the potential reciprocal, transactional relations among these factors and hypothesized that initial internalizing symptoms and stressors would also contribute to prospective changes in co-rumination. Thus, given that we also hypothesized that co-rumination would contribute to interpersonal stress generation and prospective trajectories of internalizing symptoms, we postulated that there will be a developmental cascade effect involving the accumulation of co-rumination, interpersonal stressors, and internalizing symptoms. Cascade effects build and accumulate over time, so there may be smaller initial effects between co-rumination and internalizing symptoms at the start of the cycle, but this association should amplify, or become stronger in relations, over time. We posited the likelihood of both transactional and cascade effects largely because we also expected that stressors and symptoms would contribute to increased levels of co-rumination over time, and in turn, more co-rumination would predict later internalizing symptoms such that both chains, or streams, of influence in this transactional cycle would be supported.
Question Five: Sex and Age Differences
Last, we examined the potential moderating effects of sex and age on these hypotheses. Based on previous findings, we expected that 1) adolescent girls and older adolescents would report more co-rumination, and 2) sex and age would have moderating effects on the associations among co-rumination, interpersonal dependent stressors and prospective internalizing symptoms, such that these relations would be stronger for girls and middle adolescents relative to boys and early adolescents, respectively.
Method
Participants
Participants were youth who were recruited from five Chicago area schools. 467 students were available in the appropriate grades (6th–10th) from these schools and were invited to participate. Parents of 390 youth (83.5%) provided active consent; all 390 youth were willing to participate. 356 youth (91%) completed the baseline questionnaire. The 34 students who were willing to participate but did not complete the baseline visit were sick or absent from school and were unable to reschedule. We examined data from 350 youth who provided complete data (symptoms, stressors, and co-rumination) at baseline. Rates of participation in the study were as follows: wave 2 (N=303), wave 3 (N=308), and wave 4 (N=345). Attrition analyses showed that missing data were not related to demographic characteristics (age, sex, ethnicity, or any initial symptom or stressor scores). Data were thus viewed as missing at random for analyses.
The age range at baseline was 11–17 (M = 14.5; SD = 1.40); 9% were in 6th grade, 9% in 7th grade, 9% in 8th grade, 27% in 9th grade, and 46% in 10th grade. 57% were female; 53% White, 21% African-American, 13% were Latino, 6% were Asian or Pacific Islander, and 7% bi- or multi-racial. The rationale for studying 6th–10th graders is that this is when the sex difference in internalizing symptoms diverges and when youth place increasing emphasis on peer relationships, so this may be an optimal age window for studying the relations among co-rumination, internalizing symptoms, stress generation, and age and sex influences.
Procedures
Students participated in this study with active parental informed consent. Permission to conduct this investigation was provided by the school districts and their institutional review boards, school principals, the individual classroom teachers, and university institutional review board. Trained research personnel visited classrooms in the schools and briefly described the study to youth, and letters describing the study were sent home to parents. Specifically, students and parents were told that this study was about adolescent mood and experiences, and participation would require completion of questionnaires at four different time points. Students, who agreed to participate and had returned active parental consent, read and signed their own informed consent form after having the opportunity to ask any questions about the study. Youth completed a battery of questionnaires during class time for the four waves of assessment. They were debriefed at the end of the study.
Participants completed questionnaires at four time points over a 5-month period, with approximately five weeks between each time point for these four waves of data. The spacing for the follow-up intervals was chosen to provide enhanced, accurate recall of symptoms (see Costello, Erkanli, & Angold, 2006, for evidence that shorter-time frames provide more accurate, less biased findings). These four waves of the study took place during a single academic year, and there was no obvious developmental transition (e.g., change of grade) for most youth. Youth were compensated $10 for their participation at each wave in the study, for a possible total of $40 for completing all four assessments.
Measures
Co-Rumination Questionnaire (Rose, 2002)
The original measure to assess co-rumination included 27 items that measure the extent to which youth typically co-ruminate with same-sex friends. Nine content areas are covered, including (a) frequently discussing problems, (b) discussing problems rather than doing other activities, (c) friend encouraging discussion of problems, (d) target child encouraging friend to discuss problems, (e) discussing repetitively the same problem, (f) speculating cause of problems, (g) speculating consequence of problems, (h) trying to understand parts of problems, and (i) focusing on negative affective feelings. The items focus on assessing a more extreme form of discussing problems beyond mere self-disclosure. For the present study, 9 items (1 for each of the content areas) was used to assess co-rumination at Times 1, 2, and 4. Rose (2002) reported that her 27-item measure was uni-factorial, and a factor analysis of the 9 items used in the present study (those listed in the appendix of Rose, 2002) similarly revealed a single factor. Internal consistency in this sample with 9 items was α = .89 at Time 1, α = .91 at Time 2, and α = .91 at Time 4. Youth responded to the items using a 5-point Likert scale, and scores were the mean rating of the 9 items. Rose and colleagues (2007) reported excellent internal consistency, good test-retest reliability, and validity.
Mood and Anxiety Symptom Questionnaire (MASQ; Watson, Weber, et al., 1995)
The MASQ for this study was modified from the original MASQ, which contains 90 items to assess the general distress and specific anxiety and depressive symptoms based on the tripartite theory of anxiety and depression (Clark & Watson, 1991). For this study, only the Anxious Arousal (ANX) subscale was used to assess relatively specific anxious symptoms that are not overly saturated with general negative affect. Youth responded to 10 ANX items on a Likert scale from 1 to 5, and reported scores are the average item scores of all items (range 1–5). Reliability and validity of the MASQ has been demonstrated in research with adolescents (e.g., Hankin, 2008, in press; Hankin, Wetter, Cheely, & Oppenheimer, in press). For example, internal consistencies (α’s ranging from .83 to .86) and test-retest reliabilities (r’s ranging from .53–.63 from 1 to 5 months) have been good. Validity (convergent, predictive, discriminant) has been shown in that anxious arousal symptoms, assessed via the MASQ, correlated significantly with other internalizing symptoms, less so with externalizing symptoms, and were predicted by stressful life events (Hankin, 2008; Hankin et al., in press) and rumination (Hankin, in press). The MASQ was given at all 4 time points. Internal reliability for ANX in this sample was α = .86 at Time 1, α = .85 at Time 2, α = .83 at Time 3, and α = .85 at Time 4.
Strengths and Difficulties Questionnaire (SDQ; Goodman, 2001)
The SDQ is a brief 25-item questionnaire that assesses general internalizing and externalizing emotional and behavioral problems. A five-factor structure, consisting of emotional, conduct, hyperactivity-inattention, peer, and prosocial factors, has been supported in past research with large samples of youth and parents (Goodman, 2001). The conduct factor was used for the present study as a measure of broad externalizing problem behaviors, and the emotional factor was used as a measure of general internalizing symptoms. We included the conduct factor to evaluate whether co-rumination was specifically associated with internalizing symptoms only versus externalizing symptoms, and the general internalizing factor was included to have a broad assessment of general emotional problems so that a more nuanced understanding of the associations among co-rumination with various internalizing symptoms (i.e., general depression, specific anhedonic depression, specific anxious arousal, and general emotional problems) could be obtained.
Reported scores on these factors are the average item scores of all items (range 0–2). Normative data are available for the SDQ based on The National Health Interview Survey (NHIS). The descriptive statistics (See Table 1) from the present sample match the descriptive data from the normative database closely. The SDQ has been shown to be reliable and valid in past research (Goodman, 2001). The SDQ was given at all 4 time points. Internal reliability for the conduct/externalizing factor in this sample was α = .75 at Time 1, α = .70 at Time 2, α = .63 at Time 3, and α = .68 at Time 4, and for general emotional/internalizing symptoms α = .66 at Time 1, α = .63 at Time 2, α = .72 at Time 3, and α = .58 at Time 4.
Table 1.
Descriptive Statistics and Correlations among Main Measures
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
---|---|---|---|---|---|---|---|---|---|---|
1.) Co-Rum1 | ||||||||||
2.) INTERN1 | .02 | |||||||||
3.) CDI1 | .04 | .65*** | ||||||||
4.) Anh-CDI1 | .03 | .50*** | .79*** | |||||||
5.) ANX1 | .11* | .62*** | .63*** | .43*** | ||||||
6.) EXTERN1 | .−11* | .36*** | .46*** | .34*** | .37*** | |||||
7.) IntDep1 | .15** | .33*** | .33*** | .27*** | .43*** | .33*** | ||||
8.) IntInd1 | .06 | .28*** | .26*** | .26*** | .33*** | .29*** | .84*** | |||
9.) NonInt1 | .03 | .33*** | .37*** | .32*** | .43*** | .36*** | .90*** | .76*** | ||
10.) Co-Rum4 | .22*** | .13** | .18*** | .09* | .12** | −.13** | .14** | .14** | .14** | |
Mean | 2.94 | .75 | 12.81 | 2.50 | 2.20 | .52 | 12.72 | 4.67 | 4.70 | 2.94 |
SD | .76 | .47 | 8.64 | 1.80 | .75 | .39 | 5.46 | 2.14 | 2.13 | .50 |
Note: N=350. Co-Rum=Co-Rumination Questionnaire; INTERN=Internalizing, general emotional distress symptoms; CDI=Children’s Depression Inventory; Anh-CDI=Anhedonic factor of the CDI; ANX=Anxious Arousal; EXTERN=Externalizing Behaviors; IntDep=Interpersonal dependent stressors; IntInd=Interpersonal independent stressors; NonInt=Non-interpersonal stressors.
p < .05;
p < .01;
p < .001
Children’s Depression Inventory (CDI; Kovacs, 1985)
The CDI is a self-report measure that assesses depressive symptoms in children and adolescents using 27 items. Each item is rated on a scale from 0–2. Reported scores are mean of all items and range from 0–54. Higher scores indicate more depressive symptoms. The CDI has been shown to have good reliability and validity as a measure of depressive symptoms in youth (Klein, Dougherty, & Olino, 2005). Internal reliability in this sample was α = .90 at Time 1, α = .91 at Time 2, α = .91 at Time 3, and α = .90 at Time 4.
Although the CDI is one of the most commonly used measure of assessing depressive symptoms among youth (Fristad, Emery, & Beck, 1997), its construct validity and specificity as a measure of depression has been questioned (e.g., Chorpita, Moffitt, & Gray, 2005; King, Ollendick, & Gullone, 1991) given that it appears to contain many items tapping broad negative affect (Chorpita et al., 1998). Thus, although the CDI is often and widely used to assess general depressive symptoms, the questionable specificity and construct validity led to the decision to select particular anhedonia items from the CDI, based on past work (e.g., Chorpita et al., 1998; Joiner et al., 1996) in order to examine both the full CDI as the commonly used measure of general depressive symptoms and the relatively more specific anhedonic depressive symptoms. In sum, analyses for depressive symptom specificity are reported for the full CDI to assess general depressive symptoms and for anhedonic CDI items (#4, 12, 15, 20, 21, 22; Chorpita et al., 1998). This approach has been successfully and validly used in past work (Chorpita et al., 1998; Hankin, 2008; Hankin et al., in press).
Adolescent Life Events Questionnaire (ALEQ; Hankin & Abramson, 2002)
The ALEQ assesses a broad range of negative life events that typically occur among adolescents, including school/achievement problems, friendship and romantic difficulties, and family problems. Examples of items from the ALEQ include “got a bad report card” to assess school events, “had an argument with a close friend” for friendship events, “boyfriend/girlfriend broke up with you but you still want to go out with them” for romantic events, and “your parents grounded you” for family events. Youth were asked to indicate how often (Likert scale ranging from never (0) to always (4)) these negative events had occurred to them over the past 5 weeks. These ratings were then transformed into dichotomous count of stressors (0=no event; 1=event occurred). The dichotomized ALEQ were used to assess a count of stressors with higher scores indicating more exposure to negative events at a particular time point over the past 5 weeks. The ALEQ demonstrated good validity in past research (Hankin, 2008; Hankin et al., in press).
The 57 different negative life events included in the ALEQ can be categorized into events occurring in an interpersonal (e.g., peers, romantic partners, family) and non-interpersonal (e.g. academics, work) domains (see Hankin & Abramson, 2002) as well as independent versus dependent types of events. Independent events are those that are believed to befall individuals and are not expected to be related to a person’s characteristics (e.g., close friend moves, death of a relative), whereas dependent events are those that the individual’s characteristics or behaviors may have contributed to the occurrence of these events (e.g., fight with friend, romantic breakup). To create variables for interpersonal and non-interpersonal events as well as independent and dependent events, the list of 57 stressors was categorized independently by the authors with 100% agreement. This resulted in 39 interpersonal events (26 of these as dependent, 13 of these as independent) and 11 as non-interpersonal events (all were categorized as dependent). Seven events were not clearly interpersonal or non-interpersonal, and so they were not included in these categorized variables. Examples for the interpersonal-dependent category of event include: “You had an argument with a close friend,” “Your parents grounded you,” “Your boyfriend/girlfriend criticized you,” and “A boyfriend/girlfriend broke up with you but you still wanted to be with them.” For interpersonal-independent, examples include: “A close friend moved away,” “A close family member couldn’t work due to injury or illness,” and “close family member (parent, sibling) died.” For non-interpersonal events, examples include: “Did poorly on, or failed, a test or class project,” “You didn’t complete the required homework for class,” and “You had to do chores or work you didn’t want to do.” The ALEQ was given at all 4 time points. For the present study, the following variables, interpersonal-dependent, interpersonal-independent, and non-interpersonal, at each of the 4 time points, were used in analyses to test our hypothesis that co-rumination would predict interpersonal-dependent stress generation better than interpersonal-independent or non-interpersonal events.
Results
Preliminary Analyses
Using the different recommended clinical cutoffs for the CDI revealed that 24.3% (CDI cutoff >19; Stark & Laurent, 2001) or 32.3% (CDI cutoff >16; Timbremont, Braet & Dreesen, 2004) of youth were above cut-scores for the CDI. Similarly, for the SDQ, 12.3% of youth were above cut-scores (Goodman, 2001) for the internalizing scale and 15.1% for the conduct factor.
Table 1 reports the descriptive statistics and the intercorrelations among co-rumination at Time 1 and 4 as well as symptoms (general depressive, anhedonic depressive, anxious, general internalizing and general externalizing) and stressor types (interpersonal-dependent, interpersonal-independent, and non-interpersonal) at baseline1. As seen in Table 1, T1 co-rumination was associated with three constructs at baseline: positively with anxious symptoms and interpersonal dependent stressors and negatively with externalizing behaviors. Co-rumination at Time 4 was significantly correlated with all baseline variables. Co-rumination at baseline was significantly associated with general internalizing symptoms for 3 out of 4 time points (r’s range from .02 to .15, r average = .12 with p < .05 at Times 2, 3 and 4 but not Time 1), anxious arousal at all 4 time points (r’s range from .10 to .17, r average = .13), externalizing problems at 2 out of 4 time points (r’s range from .00 to −.16, r average = −.07 with p < .05 at Times 1 and 3 but not Times 2 or 4), anhedonic depressive symptoms at one time point (at Time 2, r’s range from .02 to .13, r average = .06) but not with general depressive symptoms bivariately at any time point (r’s range from .04 to .06, r average = .05). Also, baseline co-rumination was significantly associated with interpersonal dependent events across 3 out of 4 time points (r’s range from .06 to .15, r average = .12 with p < .05 at Times 1, 3 and 4 but not Time 2). Co-rumination was less strongly associated with interpersonal independent events (r’s range from .06 to .11, r average = .07 with p < .05 at Time 3 only) and with non-interpersonal events (r’s range from .03 to .13, r average = .07 with p < .05 at Time 4 only).
Overview of Statistical Approach
Hierarchical linear modeling (HLM; Bryk & Raudenbush, 1992; HLM 5.04; Raudenbush, Bryk, Cheong, & Congdon, 2001) was used to address several of the primary hypotheses: (1) Does baseline co-rumination predict prospective increases in internalizing symptoms (general depression, anhedonic depression, anxiety, general internalizing, but not externalizing behaviors) over the 4 time points?, (2) Does baseline co-rumination predict interpersonal-dependent stressors but not interpersonal-independent or non-interpersonal events over the 4 time points?, and (3) Do interpersonal-dependent stressors mediate the prospective association between baseline co-rumination and later internalizing symptoms?
The analysis of multiple levels of data is accomplished in HLM by constructing Level 1 and 2 equations. At level 1, regression equations are constructed that model separately the variation in the repeated measures (e.g., internalizing symptoms, stressors) as a function of time (e.g., the 4 waves of data for internalizing and externalizing symptoms). Each equation includes various parameters to capture features of an individual youth’s level of symptoms and stressors over time, such as an intercept that describes an individual’s average level on the variable, a slope that describes an individual’s linear growth on the variable over time, and a time-varying covariate that describes the strength of association between within-person fluctuations in one construct (e.g., symptoms of depression) and within-individual changes in another construct (e.g., stressors) over the waves of data. At Level 2, equations are specified that model individual differences in the Level 1 parameters as a function of between-subjects’ variables (i.e., co-rumination). To test whether baseline co-rumination predicts prospective elevations in internalizing symptoms over time, baseline symptom levels were entered so that the overlap of baseline symptoms with co-rumination are controlled, and prospective elevations in symptoms can be examined beyond the main effects of initial symptoms given the strong continuity in symptom levels over time during adolescence (c.f., Cole & Tram, 2006; e.g., average test-retest r for CDI over time was .70 in this study). Thus, this data analytic approach is a conservative and risky test of our hypotheses and examines both concurrent association (i.e., intercept) and longitudinal relations (i.e., slope) among co-rumination, symptoms, and stressors.
Co-Rumination Predicts Prospective Trajectories of Internalizing Symptoms and Stressors
To test the first main hypothesis that co-rumination would predict prospective elevations in internalizing symptoms over time, HLM was used to predict intercepts and slopes in symptoms of general depression, anhedonic depression, anxiety, internalizing and externalizing behaviors over the 4 waves. The primary predictors of these outcomes were: 1) baseline symptom levels to control for individual differences in symptom levels and enable examination of prospective elevations of symptoms over time, and 2) baseline co-rumination. Results are presented in Table 2 for the various models predicting different symptoms. Several significant results emerged. First, baseline levels of any given symptom strongly predicted intercepts in that symptom over time. Second, co-rumination was associated significantly with intercepts for anhedonic depression and general internalizing symptoms but not general depression or anxious arousal. Third, and consistent with the cascade and specificity hypotheses, the main effect of baseline co-rumination significantly predicted internalizing symptom trajectories, but not externalizing problems, over time. Figure 2 illustrates these effects graphically by plotting prospective change in general depressive symptoms over the 4 waves as a function of co-rumination (±1.5 SD). Greater co-rumination predicted elevated trajectories in general depressive symptoms over time, whereas lower co-rumination levels were associated with relatively flatter slopes in depressive symptoms. The same pattern was found for anhedonic depressive, general internalizing and anxious arousal symptoms.
Table 2.
Longitudinal Analyses of Baseline Co-Rumination Predicting Trajectories of Internalizing Symptoms and Stressor Types
Outcome | Intercept | ES(r) | Slope | ES(r) | ||||
---|---|---|---|---|---|---|---|---|
B | S.E. | t | B | S.E. | t | |||
Symptoms | ||||||||
CDI—general depression | ||||||||
CDI T1 | .87 | .02 | 43.66*** | .91 | .04 | .07 | .54 | .04 |
Co-Rum T1 | .12 | .18 | .70 | .04 | 1.93 | .75 | 2.54** | .14 |
CDI—anhedonic depression | ||||||||
CDI T1 | .10 | .038 | 2.70*** | .14 | .07 | .05 | 1.47 | .08 |
Co-Rum T1 | .068 | .017 | 3.95*** | .21 | .045 | .02 | 2.12* | .11 |
ANX | ||||||||
ANX T1 | .85 | .02 | 39.68*** | .90 | −.52 | .06 | −8.17*** | .39 |
Co-Rum T1 | .005 | .02 | .32 | .02 | .12 | .06 | 1.93† | .11 |
SDQ—Internalizing | ||||||||
SDQ T1 | .80 | .02 | 28.06*** | .83 | −.56 | .10 | −5.58*** | .28 |
Co-Rum T1 | .02 | .005 | 4.06*** | .21 | .09 | .02 | 4.13*** | .21 |
SDQ—Externalizing | ||||||||
SDQ T1 | .77 | .02 | 34.21*** | .90 | −.70 | .05 | −11.94*** | .54 |
Co-Rum T1 | −.007 | .01 | −.61 | .04 | .009 | .03 | .27 | .02 |
Stressor Types | ||||||||
Independent Interpersonal | ||||||||
Stress T1 | .75 | .02 | 44.35*** | .91 | −.59 | .03 | −18.29*** | .69 |
Co-Rum T1 | .21 | .19 | 1.13 | .09 | .29 | .36 | .83 | .04 |
Dependent Interpersonal | ||||||||
Stress T1 | .76 | 01 | 46.87*** | .91 | −.72 | .03 | −19.58*** | .73 |
Co-Rum T1 | .83 | .43 | 1.91† | .11 | 1.55 | .78 | 1.99* | .12 |
Non-interpersonal | ||||||||
Stress T1 | .75 | .39 | 5.29*** | .27 | −.58 | .04 | −16.14*** | .63 |
Co-Rum T1 | .18 | .22 | .86 | .03 | .74 | .57 | 1.29 | .07 |
Note. N=350.
p <.06;
p < .05;
p < .01;
p < .001.
CDI=Children’s Depression Inventory; ANX = Anxious Arousal Symptoms; SDQ=Strengths and Difficulties Questionnaire.
Figure 2.
Baseline co-rumination predicts prospective trajectories of depressive symptoms over time. High and low levels of co-rumination are plotted as ±1.5 SD from the co-rumination mean.
To test the second main hypothesis, similar HLM analyses were conducted with stressors over the 4 time points as the outcome. Results, as shown in the bottom portion of Table 2, revealed that baseline co-rumination predicted prospective trajectories of interpersonal dependent stressors only over time and was marginally associated with intercepts for these stressors. However, and consistent with our hypothesis, co-rumination was not significantly associated with intercepts or slopes for interpersonal independent or non-interpersonal events.
Interpersonal dependent stressors mediate the relationship between co-rumination and prospective internalizing symptoms
Given that co-rumination significantly predicted only interpersonal dependent stressors, as hypothesized, mediation analyses proceeded with an exclusive focus on interpersonal dependent stressors. The third main question was examined using HLM in which internalizing symptoms over the 4 time points were predicted by stressors over the 4-time points entered as a time-varying covariate at Level 1 along with baseline co-rumination and initial internalizing symptoms at Level 2 in order to evaluate whether interpersonal dependent stressors generated by co-rumination mediate the association between co-rumination and later internalizing symptoms over time. To ensure that the longitudinal direction of effects were tested, rather than merely epiphenomenon of symptoms and stressors at the same time point, we used analyses with lagged effects in which symptoms at the prior wave (T-1) were controlled to create prospective increases in symptoms from one time point to the next. Also, baseline levels of stressors were controlled to adjust for initial stress levels and examine change in stressors over time as a predictor of prospective elevations in symptoms2. The equations used were:
The equation used for level 1 model for symptoms over 4 time points:
Equations for level 2 models:
Following Baron and Kenny’s (1986) and Holmbeck’s (2002) logic for demonstrating mediation, the following conditions must be met: (1) co-rumination must predict internalizing symptoms, (2) co-rumination must predict stressors, (3) stressors must predict prospective elevations in internalizing symptoms over time, and (4) the significant association between co-rumination and later internalizing symptoms will be reduced after including stressors in the analysis. The findings reported above demonstrated conditions 1 and 2: Baseline co-rumination predicted prospective trajectories of symptoms and stressors. Conditions 3 and 4 were tested with the equations above. The cross-level interaction of baseline co-rumination at Level 2 with stressors entered at Level 1 (the effect of G11) was not significant in any of the models for predicting prospective elevations in symptoms, so only the main effect of co-rumination (G01) predicting symptom changes was considered.
As shown in Table 3, interpersonal dependent stressors appeared to mediate, at least in part, the association between baseline co-rumination and prospective changes in internalizing symptoms, based on Baron and Kenny’s (1986) criteria, because these stressors, as a time-varying covariate, significantly predicted prospective changes in internalizing symptoms from Time T-1 to Time T. The effect of co-rumination became non-significant for anhedonic depression only, whereas co-rumination continued to predict general depressive, anxious arousal, and general internalizing symptoms, albeit less so with the inclusion of stressors. Typically, Sobel tests would be used to indicate whether these indirect effects for mediation were significant, yet doing so with multi-wave and multi-level data is likely to be underpowered and insensitive (Bauer, Preacher, & Gil, 2006), so Sobel tests were not used. Moreover, typically the amount that a mediator explains of the total effect would usually be examined, yet this approach can also be problematic for multi-level data and modeling (Nezlek, 2007).
Table 3.
Mediational Analyses Examining Generated Stressors Accounting for the Prospective Association between Baseline Co-Rumination and Internalizing Symptoms Trajectories.
Outcome | Estimate | S.E. | t | ES(r) |
---|---|---|---|---|
Full CDI. Step 1: | ||||
CDI T-1 | .03 | .01 | 2.73*** | .14 |
Co-Rum T1 | .10 | .01 | 6.14*** | .31 |
Step 2: | ||||
CDI T-1 | .02 | .008 | 2.68** | .14 |
Co-Rum T1 | .09 | .02 | 5.34*** | .27 |
Int Dep Stressors | .78 | .05 | 13.95*** | .60 |
Anhedonic CDI. Step 1: | ||||
Anh-CDI T-1 | .003 | .005 | .61 | .03 |
Co-Rum T1 | .03 | .007 | 3.92** | .21 |
Step 2: | ||||
Anh-CDI T-1 | .004 | .005 | .76 | .03 |
Co-Rum T1 | .01 | .006 | 1.54 | .08 |
Int Dep Stressors | .20 | .05 | 2.88*** | .16 |
ANX. Step 1: | ||||
ANX T-1 | .07 | .01 | 4.82*** | .26 |
Co-Rum T1 | .28 | .01 | 23.99*** | .78 |
Step 2: | ||||
ANX T-1 | .07 | .01 | 4.74*** | .26 |
Co-Rum T1 | .23 | .02 | 11.68*** | .52 |
Int Dep Stressors | 2.07 | .48 | 4.24*** | .22 |
SDQ-Internalizing. Step 1: | ||||
SDQ T-1 | .07 | .02 | 4.04*** | .21 |
Co-Rum T1 | .29 | .01 | 19.94*** | .73 |
Step 2: | ||||
SDQ T-1 | 08 | .02 | 4.21*** | .22 |
Co-Rum T1 | .28 | .01 | 17.36*** | .67 |
Int Dep Stressors | .96 | .10 | 9.07*** | .44 |
Note. N=350.
p < .01;
p < .001.
CDI=Children’s Depression Inventory; Anh=Anhedonic symptoms from CDI; ANX = Anxious Arousal Symptoms; SDQ=Strengths and Difficulties Questionnaire; IntDep=Interpersonal Dependent stressors.
Bauer and colleagues (2006) reported a method to test indirect effects and mediation using multilevel models that is more powerful and sensitive and does not violate the traditional assumptions made in testing mediation (e.g., Baron & Kenny, 1986) that likely occur when using nested models in multilevel models. Bauer and colleagues’ (2006) approach provides output that gives the full covariance matrix of random effects, full asymptotic covariance matrix of fixed effects, and variance components, and all of these are important for evaluating random indirect and total effects in order to test mediation more accurately in multilevel models. Using Bauer and colleagues’ procedures, the average indirect effects were found to be significant for general depressive, anhedonic depressive, anxious arousal, and general internalizing symptoms. Finally, dependent interpersonal stressors accounted for 16% of the association between co-rumination and general depressive symptoms, 64% of the association between co-rumination and anhedonic depressive symptoms, 35% of the link between co-rumination and anxious arousal, and 12% of the relation between co-rumination and general internalizing symptoms. Thus, dependent interpersonal stressors partially mediated the longitudinal association between baseline co-rumination and later internalizing symptoms.
Reciprocal, Transactional Influence of Co-Rumination on Later Internalizing Symptoms
To investigate the potential of the first strand of a reciprocal, transactional influence between initial internalizing symptoms and/or stressors as predicting prospective changes in co-rumination levels over time from Time 1 to Time 4, several hierarchical regression analyses were performed in which co-rumination at Time 1 was entered in the first step, and then different symptoms or stressor types were entered in the second step, each in independent models, as predictors of co-rumination at Time 4 as the dependent variable. Multiple imputation was used to impute values for the small missing data (N=5) so that the full N=350 could be used. Table 4 shows the results. Consistent with hypotheses, prospective changes in co-rumination were predicted by baseline levels of internalizing symptoms as well as stressors.
Table 4.
Hierarchical Regression Analyses Testing Prospective Changes in Co-Rumination Levels at Time 4 as a Function of Different Baseline Symptoms and Stressors
Predictor | β | t | Change in R2 |
---|---|---|---|
Step 1: | |||
Time 1 Co-Rumination | .22 | 4.3*** | .05 |
Step 2: | |||
Time 1 Full CDI | .19 | 3.63*** | .035 |
Time 1 Anhedonic CDI | .12 | 2.03* | .013 |
Time 1 ANX | .14 | 2.73** | .020 |
Time 1 SDQ—Internalizing | .14 | 2.68** | .019 |
Time 1 SDQ—Externalizing | .11 | 1.89 | .011 |
Time 1 Non-interpersonal stressors | .14 | 2.79** | .021 |
Time 1 Dependent interpersonal stressors | .16 | 3.04*** | .025 |
Time 1 Independent interpersonal stressors | .11 | 2.21* | .013 |
Note. N=350.
p < .05;
p < .01;
p < .001.
CDI=Children’s Depression Inventory; ANX = Anxious Arousal Symptoms; SDQ=Strengths and Difficulties Questionnaire.
To test the other side of the stream in the transactional, reciprocal chain of influence given the analyses showing that initial symptoms and stressors predicted change in co-rumination, we then examined whether co-rumination at Time 2 predicted prospective changes in symptoms from T1 to T3. After controlling for T1 symptoms, co-rumination at T2 predicted T3 general depressive symptoms (β= .12, t = 2.73, p < .001), anhedonic depressive symptoms (β= .20, t = 3.73, p < .001), and general internalizing symptoms of the SDQ (β= .13, t = 2.90, p < .001), but not anxious arousal symptoms (β= .03, t = .69, p = .49).
Finally, given that each of these analyses separately supported each strand of the transactional model, a more comprehensive structural equation model (SEM) using AMOS 6.0 (Arbuckle, 2006) was advanced to examine both strands of influence in the transactional model simultaneously using the most critical variables from the four waves of data. Figure 3 shows the SEM estimated along with the final standardized beta results for the full CDI. This model for general depressive symptoms provided an adequate fit to the data: χ2 (17) = 102.15, p < .01, CFI= .94 NFI = .93, and similar models fit adequately for anhedonic depressive symptoms (χ2 (17) = 101.16, p < .01, CFI = .94, NFI = .92) and general internalizing symptoms (χ2 (17) = 94.89, p < .01, CFI = .93, NFI = .91). Inspection of the individual paths for the full CDI (see Figure 3) reveals that initial levels of interpersonal dependent stressors and initial CDI predicted change in co-rumination from T1 to T2, and in turn, elevated co-rumination at T2 predicted increases in interpersonal dependent stressors at T3, which finally predicted increases in general depressive symptoms at T4 after controlling for all necessary levels of variables measured earlier in the chain. Likewise, the other side of the transactional chain was supported in that baseline co-rumination predicted change in depressive symptoms from T1 to T2 as well as change in interpersonal dependent stressors from T1 to T2. Then, these additional interpersonal stressors predicted increases in general depressive symptoms at T3, and elevated symptom levels were associated with greater co-rumination at T4 after controlling for all necessary levels of variables measured earlier in the chain. The same pattern of pathways was observed for general internalizing symptoms. A similar set of pathways was found for anhedonic depressive symptoms for all paths with the exception that anhedonia at T1 and T3 did not predict downstream elevations in co-rumination at Times 2 and 4, respectively.
Figure 3.
Structural equation model results of the bi-directional, cascading model of the development of internalizing symptoms: Testing both streams of influence over time in a transactional model to understand general depressive symptoms (i.e., full CDI).
No single statistical analysis, and often no single study, can fully and completely evaluate a hypothesized transactional model (e.g., Sameroff & Mackenzie, 2003; Shanahan & Bauer, 2004), but these multiple analyses converge on a similar picture and appear to support a transactional process. The HLM analyses showed that baseline co-rumination predicted prospective trajectories of internalizing symptoms from Time 1 through Time 4, baseline co-rumination predicted prospective increases in interpersonal dependent stressors, and these additional interpersonal dependent stressors predicted prospective elevations in internalizing symptoms (from Time T-1 to Time T). Then, more specific analyses intended to examine the particular strands of each side of the reciprocal, transactional chain of influence were conducted. On one side of the stream, initial stressors and symptoms predicted increases in co-rumination from Time 1 to Time 4. On the other side of the transactional strands intended to test the downstream effects and feedback to increases in later internalizing symptoms, we found that co-rumination at Time 2 predicted prospective changes in internalizing symptoms at Time 3. Finally, the SEM testing both strands simultaneously provided additional support for the individual analyses consistent with each side of the transactional strand. Thus, taken together, these various analyses converge to support a transactional chain of influence in which a developmental cascade of effects over time accumulates to contribute to elevated levels of internalizing symptoms over time.
Age and Sex influences on Co-rumination and Potential Moderation
We used Analysis of Variance (ANOVA) to examine whether co-rumination levels at baseline differed by age and sex. Consistent with our hypothesis that adolescent girls would report higher levels of co-rumination than boys, and older youth would exhibit more co-rumination than younger youth, results from ANOVA revealed significant main effects for sex (F (1, 349 = 27.11, p < .01) and age (F (5, 345 = 5.22, p < .001) but no age X sex interaction (F (5, 345 = .69)3. Specifically, girls’ levels of co-rumination (M=3.20, SD=.74) were higher than boys (M =2.61, SD=.67), and middle adolescents (9th and 10th graders) (M =3.03, SD=.77) reported greater co-rumination than early adolescents (6th–8th graders) (M =2.65, SD=.67). Last, exploratory analyses investigating possible ethnic differences showed no significant effects on co-rumination (Caucasian versus non-Caucasian).
Finally, we examined whether sex moderated the association between co-rumination and prospective internalizing symptoms or between co-rumination and stressors using HLM in which sex, at Level 2, was entered to examine the Sex X Co-Rumination interaction term predicting internalizing symptoms and stressors over time. None of the sex X Co-Rumination interactions was significant for any of the internalizing symptoms measures or any of the stressors types for either intercepts or slopes (all t’s < .3). Age X Co-Rumination interactions were all similarly non-significant in predicting internalizing symptoms and stressor types. Finally, we did exploratory analyses with ethnicity as a potential moderator, and the ethnicity (Caucasian, non-Caucasian) X Co-Rumination interactions were non-significant. Thus, the results reported above with respect to the association between co-rumination and internalizing symptoms and between co-rumination and stressors do not appear to differ by sex or age.
Summary of Results
This study found evidence for transactional associations among co-rumination, internalizing symptoms, and interpersonal stressors and accumulation of interpersonal influences to internalizing symptoms over time (i.e., slopes more than intercepts). We replicated the findings of Rose et al (2002 and 2007) and showed that co-rumination related positively to internalizing, but not externalizing, symptoms, especially over time. We extended these findings by using HLM to analyze separately average symptom levels over time from trajectories of symptom levels over time, and these results showed that co-rumination significantly predicted prospective trajectories of general depressive, anhedonic depressive, anxious arousal, and general internalizing symptoms as well as average levels of anhedonic depression and general internalizing, but not average levels of general depressive or anxious arousal, symptoms.
In addition, we obtained several new findings that were consistent with a transactional model and a developmental cascade model. First, co-rumination predicted the generation of dependent interpersonal stressors but not independent interpersonal or non-interpersonal stressors. Next, dependent interpersonal stressors partially mediated the relationship between co-rumination and later internalizing symptoms, especially for anhedonic depression. Third, the relationship between co-rumination, interpersonal stress generation, and internalizing symptoms was transactional: Baseline levels of internalizing symptoms and dependent interpersonal stressors predicted prospective elevations of co-rumination, and in turn, greater co-rumination levels predicted more interpersonal stressors and later internalizing symptoms downstream. Finally, the expected main effects of sex and age were obtained, but no moderation was found.
Discussion
These findings largely supported our primary hypotheses and suggest that the associations among co-rumination, interpersonal stressors, and internalizing symptoms are transactional over time and produce cumulative and cascading effects that may contribute to the development and continuity of internalizing symptoms among adolescents. We comment on each aspect of this accumulating, transactional process and discuss how a developmental cascade model can help to explain the ontogeny and stability of internalizing symptoms over time.
Co-rumination and a hierarchical dimensional structure of internalizing symptoms
Co-rumination can be considered a reliable predictor of various aspects of symptoms of the internalizing spectrum in both male and female adolescents. We replicated Rose’s (2002) cross-sectional and Rose et al.’s (2007) 2-time point longitudinal findings that co-rumination at baseline was correlated positively and predicted prospective changes in aspects of internalizing symptoms. We also extended these findings by showing that co-rumination was related positively to anhedonic depression and anxious arousal symptoms.
Of interest, and somewhat unexpected, was the finding that initial co-rumination was not significantly correlated with general depressive symptoms, as measured by the overall CDI, at any particular measurement wave. However, co-rumination did predict intercepts and slopes for specific anhedonic depressive symptoms and internalizing symptoms as well as increasing prospective trajectories of general depressive symptoms. We comment later on these findings and implications for our suggestion that co-rumination and interpersonal dependent stressors transact and accumulate in a developmental cascade to contribute to increasing internalizing trajectories. To the lack of concurrent and prospective bivariate associations between co-rumination and overall depressive symptoms, Rose, in her past research, decomposed the overall CDI into two of its factors: internalizing/affective symptoms and behavioral symptoms. She analyzed separately the association of co-rumination with affective symptoms versus behavioral symptoms of the CDI to obtain her results that co-rumination relates to internalizing symptoms. Thus, the set of apparently contradictory results obtained in the present research may be resolved with findings from Rose’s research in that general internalizing symptoms, assessed here via the SDQ—emotional distress scale, anhedonic depression, and anxious arousal symptoms were associated with co-rumination, whereas externalizing, behavioral problems, as assessed via SDQ—conduct factor, were not.4
This pattern of results (i.e., Rose’s findings using the two separate factors of the CDI and our findings with different measures of internalizing symptoms) can be profitably considered and understood from the perspective of an emerging hierarchical model of the internalizing and externalizing problem dimensions (Krueger & Markon, 2006; Mineka, Watson, & Clark, 1998; Watson, 2005). Current theory and research suggests that there is a hierarchical structure to the internalizing distress dimension that includes overlapping factors of broad negative affect, anhedonia/low positive affect specific to depression, and anxious arousal specific to anxiety/fear problems (Lahey et al., 2004; Lahey et al., 2008; Mineka et al., 1998; Watson, 2005). Thus, depending on which level of the internalizing distress hierarchy is of interest, assessed, and analyzed, different results and interpretations could be obtained. In this study, we intentionally used multiple measures to assess different facets of internalizing symptoms, including the CDI to assess general depressive symptoms and specific anhedonic depressive symptoms, anxious arousal to assess specific symptoms of anxiety that would relate most strongly to fear problems, and general emotional distress (from the SDQ) to assess the broad internalizing dimension, given this emerging hierarchical dimensional structure to the internalizing disorders spectrum.
Understanding the amplification of effects over time
Hierarchical linear modeling enabled us to move beyond bivariate correlational findings and showed that co-rumination predicted prospective trajectories (i.e., slopes) of general depressive, specific anhedonic depressive, and general internalizing symptoms as well as intercepts of anhedonic depression and general internalizing symptoms for the sample as a whole. Finding prediction of prospective slopes, in particular, contributes to our interpretation of this model as transactional and cumulative over time. That co-rumination was not associated with intercepts in general depressive symptoms but did predict prospective slopes of internalizing symptoms over time is consistent with a developmental cascade model in which the effect of co-rumination builds and accumulates over time.
The relationship between co-rumination and internalizing symptoms may be dynamic. As a youth’s levels of internalizing symptoms become more elevated over time, there may be a feedback process, in which the tendency to co-ruminate with others over these increasing levels of emotional distress problems, begins to slowly accumulate, spills over into worsening and more stressful interpersonal relationships, and contributes to the growth seen in internalizing symptoms trajectories over time. That prospective increases in internalizing symptom trajectories (i.e., slopes) were predicted by baseline co-rumination is consistent with our hypothesis that a dynamic, transactional, vicious cascading cycle may exist for some youth who tend to co-ruminate frequently such that they generate interpersonal stressors, experience more internally emotionally distressing symptoms, and in turn these stressors and symptoms contribute downstream to additional elevations in later co-rumination. However, it is worth noting that these effects and cascade processes may apply to a portion of the sample, and not necessarily to all the youth, as some youth likely exhibited various other trajectories (e.g., decrease or curvilinear) of symptoms over time. As such, this hypothesized cascade process may not apply to other subsets of youth in the sample who did not exhibit increasing linear growth in internalizing symptoms over time. It is possible that different processes and sets of factors may account for different trajectories in symptoms over time for the subset of youth who did not demonstrate the significant linear growth trajectory in symptoms (i.e., slopes) as seen for the sample on average.
As just discussed, co-rumination contributed to the generation of only interpersonal dependent, but not independent interpersonal or non-interpersonal, stressors over time. This suggests that the process of co-rumination contributes to youth experiencing additional interpersonal stressors which the individual had some hand in creating (i.e., dependent events). This finding is consistent with the developmental cascade model in which maladaptive processes in one domain can spill over into other domains. It also provides additional evidence that co-rumination has both positive and negative trade-offs as the generation of additional interpersonal stressors is another negative aspect of excessively rehashing and over-discussing emotional problems within close relationships. That co-rumination predicted only interpersonal dependent, but not non-interpersonal, events, is consistent with stress generation theories (e.g., Hammen, 2007; Hankin & Abramson, 2001) and prior transactional depression models (e.g., Cicchetti & Schneider-Rosen, 1984, 1986), and the notion that individual differences in social factors (e.g., co-rumination, insecure attachment, reassurance seeking, sociotropy) predict later interpersonal stressors. Because this relationship is transactional and cumulative over time, the process of co-rumination likely amplifies the stressors experienced and chips away at individuals’ ability to effectively cope with and problem solve the stressors that are accumulating in their lives. This type of snowballing and exacerbation over time of social factors, especially within the same conceptual domains (i.e., interpersonal), are trademark signs of cascade effects in development (Masten et al., 2005) and lends additional evidence to our hypothesis that interpersonal influences to internalizing problems accumulate over time.
As hypothesized, interpersonal-dependent stressors partially mediated the association between baseline co-rumination and trajectories of internalizing symptoms, and this indirect effect was strongest for anhedonic depressive symptoms. This represents a novel finding consistent with our hypothesis and sheds important light on at least one mechanism of influence by which co-rumination contributes to later internalizing symptoms. Still, full mediation was not obtained for any type of internalizing problems examined. This raises the question of what other processes and factors contribute to the transactional relationship between co-rumination and internalizing symptoms. Some research indicates that interpersonal influences, such as reassurance seeking (Potthoff et al., 1995), poor interpersonal problem solving (Davila et al., 1995), and self-perceived social skills (Segrin, 2001) play a role in this relationship. Future research to test these social processes together, as well as with other risks to internalizing symptoms, as part of a multiple mediating pathways model would be helpful to explain more of the transactional association between co-rumination and internalizing symptoms.
Multiple pathways connecting co-rumination, stressors, and symptoms
While these findings indicate one potential transactional process with accumulating effects that can contribute to increasing trajectories of internalizing symptoms over time, the results need to be considered in the context of other evidence from research examining potential transactional influences of internalizing distress and interpersonal relationship difficulties among youth. Prospective longitudinal research shows that interpersonal relationship difficulties, including low peer acceptance or popularity (Kistner, 2006; Kistner, David-Ferdon, Repper, & Joiner, 2006), high peer rejection (Nolan, Flynn & Garber, 2003), peer victimization (Olweus, 1993), problematic close friendships (Allen et al., 2006), romantic relationship stress (Monroe, Rohde, Seeley, & Lewinsohn, 1999), and episodic peer stressors (Hankin et al., 2007) all predict later internalizing symptoms, especially depression. Likewise, initial symptoms can lead to later interpersonal relationship dysfunction as depressed individuals’ behaviors make it difficult for them to have positive, rewarding interactions with others. Longitudinal evidence also exists that a consequence of depression can be problematic relationships as depression predicts later peer rejection (Little & Garber, 1995; Prinstein, Borelli, Cheah, Simon, & Aikins, 2005), less stable reciprocal friendships (Prinstein et al., 2005), diminished friendship quality (Prinstein et al., 2005), decrements in peer popularity or acceptance (Kistner, David-Ferdon, Repper, & Joiner, 2006), generation of romantic stressors over time (Hankin et al., 2007), and poorer quality in family relationships (Lewinsohn, Rohde, Seeley, Klein, & Gotlib, 2006).
These lines of evidence are consistent with different developmental pathways connecting internalizing problems and interpersonal relationships (i.e., equifinality and multifinality, Cichetti & Rogosch, 1996). In sum, results from this study and past research, in concert with the developmental psychopathology principle of multiple developmental pathways (Pickles & Hill, 2006), suggest interesting new avenues to investigate other trade-offs associated with co-rumination as well as additional transactional processes and cascading effects that may connect internalizing problems and interpersonal influences over time.
Sex and age differences: Remaining questions
This study found the expected sex and age effects in co-rumination. Older adolescents and girls reported higher levels of co-rumination, but contrary to our hypothesis, neither sex nor age moderated the associations among co-rumination, stressors, and internalizing symptoms. This is in contrast to Rose and colleagues’ past work (2007) that found marginally significantly higher associations between co-rumination and internalizing symptoms for girls than boys. The discrepancy in findings could be explained by her larger sample size (N=813) to detect very small gender moderation effects in comparison to our moderate sample size (N=350). The lack of age moderation is consistent with Rose and colleagues’ (2007) work with a sample of 3rd, 5th, 7th, and 9th graders in which co-rumination did not interact with grade level to predict internalizing symptoms. We had hypothesized that there might be moderation by age because peer relationships become more important during adolescence and youth have more time inside and outside of school to engage in co-rumination compared with earlier grade levels when activities are more proscribed. Yet, no age or grade moderation from this study and Rose’s work (2007) suggests that this hypothesis is not supported.
Findings from this study suggest that co-rumination’s contributing to internalizing symptoms is a broad interpersonal influence that is applicable across gender and adolescence (at least early and middle adolescence). Our results do not support a contextual explanation for potentially sex-specific developmental pathways, at least with respect to co-rumination, leading to the development of internalizing symptoms in adolescence. Some theorists have advocated a general developmental psychopathological theory that is applicable to both boys and girls, while also postulating factors and processes capable of explaining the sex difference in adolescent depression (e.g., Hankin & Abramson, 2001). In contrast, others (e.g., Keenan & Hipwell, 2005; Zahn-Waxler et al., 2006) have highlighted the value of potentially sex-specific models that posit different factors and processes contributing to depression for boys versus girls. Overall, reasons for the stark sex difference in adolescent depression remain elusive (Hankin et al., 2008).
Strengths and limitations
The present results need to be interpreted with certain limitations in mind. First, all of the data come from youth who self-reported symptom levels, stressor occurrence, and co-rumination. Clearly, given the likely mono-operation bias of same informant and method for assessing the central constructs in this study, use of multiple methods (e.g., observational methods to assess co-rumination, diagnostic interviews) and multiple informants (e.g., parents, peers) would be an important next step for future research in this area. Initial research, based on coding videotaped observations of target youth and peers’ interactions, suggests good concordance with the youths’ self-reported co-rumination scores (Rose et al., 2005).
Second, this study did not investigate clinical levels of anxiety, depression, or externalizing problems through structured diagnostic interviews, so it is unclear whether the present findings would generalize to more severe levels of psychopathology. Most research suggests that anxiety, depression, and externalizing problems can be represented and conceptualized best as dimensional continua, rather than discrete categories (e.g., Fergusson, Horwood, Ridder, & Beautrais, 2005; Hankin, Fraley, Lahey, & Waldman, 2005; Osgood, McMorris, & Potenza, 2002; Vollebergh et al., 2001), so it is most likely that the etiological factors that contribute to subclinical levels of psychopathology may also predict clinical levels as well (c.f., Gotlib et al., 1995). Structured diagnostic interviews can address this issue. Still, novel and interesting questions can be examined in a more severely distressed sample. For example, it may be that among a more distressed sample, in which many peers exhibit elevated levels of internalizing symptoms and rumination, there could be more co-rumination and greater potential for amplifying, transactional effects in such a distressed peer context. In such a peer context, there could be stronger peer contagion and socialization or selection effects that involve co-rumination and thus snowball into more interpersonal problems and exacerbation of internalizing symptoms. There might be individual differences in peers’ willingness to participate in co-rumination with a target youth and in the peers’ abilities to cope with the sharing of negative affect before the peer withdraws and potentially rejects the target youth (cf., Coyne, 1976; Joiner et al., 1999). Future research can investigate how different peer contexts, including varying levels of internalizing symptom distress and coping abilities of different youth in the peer group, affects individual trajectories of internalizing symptoms and the transactional, developmental cascades involving co-rumination, interpersonal stressors, and symptoms.
Third, self-report of stressors has been criticized because depressed mood, personality, or cognitive vulnerability may bias assessment of stressors (e.g., Cohen, Towbes, & Flocco, 1988; Simons, Angell, Monroe, & Thase, 1993). Although baseline levels of symptoms were controlled for in analyses to remove potential symptom bias, future research with use of contextual stress interviews to assess for more objective stressors in the achievement and interpersonal domains would be helpful (Monroe & Roberts, 1990; Monroe & Simons, 1991; Rudolph & Hammen, 1999). Also, we categorized stressors into interpersonal dependent, interpersonal independent, and noninterpersonal events to test a specificity hypothesis that co-rumination would predict interpersonal dependent stressors most strongly. This effect was found, yet it is noteworthy that the different stressor categories were highly correlated and the magnitude of relations between interpersonal dependent compared with the other stressor types was not very strong. Future research should continue to investigate specificity of stressors and effects using other methods that do not yield such overlapping stressor categories.
Finally, effect sizes were fairly small, although significant, for co-rumination predicting later internalizing symptoms, interpersonal dependent stressors, and partial mediation of the link between co-rumination and prospective symptoms through interpersonal stressors. The modest relations found in this study are consistent with the relatively small effect sizes observed in past co-rumination research (e.g., Rose, 2002; Rose et al., 2007). Multiple etiological influences will need to be studied to understand more fully the onset and stability of internalizing symptoms.
Despite these various limitations, the present research had several strengths. These include a multi-wave assessment of various commonly occurring psychopathological symptoms, use of a psychometrically reliable and construct valid measure of co-rumination, and data analytic methods best suited for multi-level longitudinal repeated measures data. Also, a modestly large sample of early and middle adolescence youth was assessed, so there was sufficient power to detect even small effect sizes. The sample was relatively racially and ethnically diverse and represented a wide socio-economic range, as opposed to predominantly White, middle-class samples used in much past research. Finally, a community sample, as opposed to outpatient or inpatient samples, was used so the study’s results should be more generalizable, and the effect sizes should be more appropriately and accurately estimated as compared with a purely clinic-referred sample (Cohen & Cohen, 1984). Still, replication of these results from a sample with diagnoses of internalizing disorders would help to confirm whether these findings apply to youth with more severe, clinically significant problems and to evaluate the practical, clinical implications of the relatively small effect sizes.
Conclusion
In summary, the picture that emerges from these findings is that of a cumulative and transactional relationship among these social influences contributing to the continuity and increasing trajectory of internalizing problems over time. In our study, co-rumination predicted prospective internalizing symptoms and prospective generation of interpersonal stressors. Symptoms and stressors, in turn, also predicted greater co-rumination over time, and interpersonal dependent stressors partially meditated the relationship between co-rumination and internalizing symptoms. Ultimately, these findings suggest a dynamic, complex and interlocking set of relationships over time, such that the existence of any of these interpersonal influences at different points in time contribute to the likelihood of the existence and amplification of other risk-inducing interpersonal factors that ultimately culminate in increasing internalizing symptoms over time. This depicts a picture of interpersonal risks accumulating over time, such that excessively rehashing emotionally problems with others, exhibiting initial internalizing symptoms and/or stressors all likely contribute to the likelihood that these issues will continue to be increasingly more problematic for some individuals moving through adolescence.
Given the strong continuity in internalizing symptoms that begins in adolescence and progresses through adulthood (Schulenberg, Sameroff, & Cicchetti, 2004), as well as the variability in manifestation of internalizing symptoms, seeking to identify risk processes early in the developmental pathways progressing to first onset of depression and preventing this first onset in adolescence (Horowitz, Garber, Ciesla, Young & Mufson, 2007) and later recurrences (Monroe & Harkness, 2005) is clearly a priority. There are clear and early risk factors for the ontogeny and increasing stability of internalizing problems over time, and this study has identified co-rumination and transactional interpersonal stress generation as such processes.
Acknowledgments
This work was supported, in part, by NIMH grants R03-MH 066845 and R01 MH077195 to Benjamin L. Hankin.
Footnotes
We present correlations for the measures of symptoms and stressors at baseline only to provide an easier-to-read depiction of the association among co-rumination, symptoms, and stressors. The correlational pattern among the various internalizing symptoms and externalizing problems as well as for the different types of stressors at the other time points was similar to that shown in Table 1 for baseline only. However, as noted in the text, co-rumination was significantly associated with anxious arousal at all 4 time points, with general internalizing symptoms at 3 out of 4 time points (Times 2–4), with externalizing problems at 2 out of 4 time points (Times 1 and 3), although co-rumination was not bivariately correlated with depressive symptoms at any time point. Please contact the lead author for the full correlation matrix including all variables at all time points.
Even though initial stressors were controlled to create prospective changes in stressors to predict prospective fluctuations in symptoms over time, it could be argued that there is a concern that stressors are only concomitantly associated with stressors assessed at the same time point. To address this concern, we also conducted HLM analyses in which stressors at Time T-1 were used as a time varying covariate in the Level 1 models instead of stressors at Time T. These analyses remove concerns about stressors being a confound or only concurrently associated with symptoms because symptoms at the prior wave are predicting prospective fluctuations in symptoms. Results of these HLM analyses revealed the same pattern of findings as reported in the main text.
We re-conducted the ANOVA with Co-Rumination scores at Time 4, and the results were the same as those at Time 1. There were significant main effects for age and sex, but no age X sex interaction.
We re-conducted analyses using the CDI broken down into the two factors, internalizing/affective and behavioral, used by Rose (2002). The same pattern of results was observed with these two factors. Co-rumination predicted prospective trajectories of CDI--internalizing/affective, just as co-rumination predicted slopes of overall CDI, anxious arousal, and SDQ—internalizing. In contrast, co-rumination did not predict CDI--behavioral, just as co-rumination did not predict SDQ—externalizing symptoms.
Contributor Information
Benjamin L. Hankin, University of Denver
Lindsey Stone, Binghamton University (SUNY).
Patricia Ann Wright, University of South Carolina.
References
- Abela JRZ, Hankin BL. Cognitive vulnerability to depression in children and adolescence: A developmental psychopathology approach. In: Abela JRZ, Hankin BL, editors. Handbook of Child and Adolescent Depression. NY: Guilford Press; 2008. [Google Scholar]
- Adrian C, Hammen C. Stress exposure and stress generation in children of depressed mothers. Journal of Consulting and Clinical Psychology. 1993;61:354–359. doi: 10.1037//0022-006x.61.2.354. [DOI] [PubMed] [Google Scholar]
- Allen JP, Insabella G, Porter MR, Smith FD, Land D, Phillips N. A social-interactional model of the development of depressive symptoms in adolescence. Journal of Consulting and Clinical Psychology. 2006;74:55–65. doi: 10.1037/0022-006X.74.1.55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arbuckle JL. Amos 6.0 User’s Guide. Chicago: SPSS; 2006. [Google Scholar]
- Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psycholgy. 1986;51:1173–1182. doi: 10.1037//0022-3514.51.6.1173. [DOI] [PubMed] [Google Scholar]
- Bauer DJ, Preacher CJ, Gil KM. Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New recommendations and procedures. Psychological Methods. 2006;11:142–163. doi: 10.1037/1082-989X.11.2.142. [DOI] [PubMed] [Google Scholar]
- Bottonari KA, Roberts JE, Kelly MAR, Kashdan TB, Ciesla J. A Prospective investigation of the impact of attachment style on stress generation among clinically depressed individuals. Behaviour Research and Therapy. 2007;45:179–188. doi: 10.1016/j.brat.2006.01.003. [DOI] [PubMed] [Google Scholar]
- Brown B. Peer groups and peer cultures. In: Feldman SS, Elliot GR, editors. At the threshold: The developing adolescent. Cambridge, MA: Harvard University Press; 1990. pp. 171–196. [Google Scholar]
- Bryk AS, Raudenbush SW. Hierarchical linear models: Applications and data analysis methods. Thousand Oaks, CA, US: Sage Publications, Inc; 1992. [Google Scholar]
- Bukowski WM, Adams RE, Santo JB. Recent advances in the study of development, social and personal experience, and psychopathology. International Journal of Behavioral Development. 2006;30:26–30. [Google Scholar]
- Bukowski WM, Newcomb AF, Hartup WW. The company they keep: Friendship in childhood and adolescence. New York, NY: Cambridge University Press; 1996. [Google Scholar]
- Buhrmester D. Need fulfillment, interpersonal competence, and the developmental contexts of early adolescent friendship. In: Bukowski WM, Newcomb AF, Hartup WW, editors. The company they keep: Friendship in childhood and adolescence. New York: Cambridge University Press; 1996. pp. 158–185. [Google Scholar]
- Caspi A, Elder GH, Bem DJ. Moving against the world: Life-course patterns of explosive children. Development and Psychology. 1987;23:308–313. [Google Scholar]
- Caspi A, Elder GH, Bem DJ. Moving away from the world: Life-course patterns of shy children. Developmental Psychology. 1988;24:824–831. [Google Scholar]
- Caldwell MS, Rudolph KD, Troop-Gordon W. Reciprocal influences among relational self-views, social disengagement, and peer stress during early adolescence. Child Development. 2004;75:1140–1154. doi: 10.1111/j.1467-8624.2004.00730.x. [DOI] [PubMed] [Google Scholar]
- Camarena PM, Sarigiani PA, Petersen AC. Gender-specific pathways to intimacy in early adolescence. Journal of Youth and Adolescence. 1990;19:19–32. doi: 10.1007/BF01539442. [DOI] [PubMed] [Google Scholar]
- Chorpita BF, Albano AM, Barlow DH. The structure of negative emotions in a clinical sample of children and adolescents. Journal of Abnormal Psychology. 1998;107:74–85. doi: 10.1037//0021-843x.107.1.74. [DOI] [PubMed] [Google Scholar]
- Chorpita BF, Moffitt CE, Gray J. Psychometric properties of the Revised Child Anxiety and Depression Scale in a clinical sample. Behaviour Research and Therapy. 2005;43:309–322. doi: 10.1016/j.brat.2004.02.004. [DOI] [PubMed] [Google Scholar]
- Cicchetti D, Schneider-Rosen K. Toward a transactional model of childhood depression. New Directions for Child Development. 1984;26:5–27. [Google Scholar]
- Cicchetti D, Schneider-Rosen K. An organizational approach to childhood depression. In: Rutter M, Izard C, Read P, editors. Depression in young people, clinical and developmental perspectives. New York: Guilford; 1986. pp. 71–134. [Google Scholar]
- Cicchetti D, Rogosch FA. Equifinality and multifinality in developmental psychopathology. Development and Psychopathology. 1996;8:597–600. [Google Scholar]
- Clark LA, Watson D. Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology. 1991;100(3):316–336. doi: 10.1037//0021-843x.100.3.316. [DOI] [PubMed] [Google Scholar]
- Cohen P, Cohen J. The clinician’s illusion. Archives of General Psychiatry. 1984;41:1178–1182. doi: 10.1001/archpsyc.1984.01790230064010. [DOI] [PubMed] [Google Scholar]
- Cohen LH, Towbes LC, Flocco R. Effects of induced mood on self-reported life events and perceived and received social support. Journal of Personality and Social Psychology. 1988;55:669–674. doi: 10.1037//0022-3514.55.4.669. [DOI] [PubMed] [Google Scholar]
- Costello EJ, Erkanli A, Angold A. Is there an epidemic of child or adolescent depression. Journal of Child Psychology and Psychiatry. 2006;47:1263–1271. doi: 10.1111/j.1469-7610.2006.01682.x. [DOI] [PubMed] [Google Scholar]
- Coyne JC. Toward an interactional description of depression. Psychiatry: Journal for the Study of Interpersonal Processes. 1976;39:28–40. doi: 10.1080/00332747.1976.11023874. [DOI] [PubMed] [Google Scholar]
- Cross SE, Madson L. Models of the self: Self-construals and gender. Psychological Bulletin. 1997;122:5–37. doi: 10.1037/0033-2909.122.1.5. [DOI] [PubMed] [Google Scholar]
- Curran PJ, Willoughby MT. Implications of latent trajectory models for the study of developmental psychopathology. Development and Psychopathology. 2003;15:581–612. doi: 10.1017/s0954579403000300. [DOI] [PubMed] [Google Scholar]
- Daley SE, Hammen C, Burge D, Davila J, Paley B, Lindberg N, et al. Predictors of the generation of episodic stress: A longitudinal study of late adolescent women. Journal of Abnormal Psychology. 1997;106:251–259. doi: 10.1037//0021-843x.106.2.251. [DOI] [PubMed] [Google Scholar]
- Davila J, Hamen C, Burge D, Paley &, Daley S. Poor interpersonal problem solving as a mechanism of stress generation in depression among adolescent women. Journal of Abnormal Psychology. 1995;104:592–600. doi: 10.1037//0021-843x.104.4.592. [DOI] [PubMed] [Google Scholar]
- Fergusson DM, Horwood LJ, Ridder EM, Beautrais AL. Subthreshold depression in adolescence and mental health outcomes in adulthood. Archives of General Psychiatry. 2005;62:66–72. doi: 10.1001/archpsyc.62.1.66. [DOI] [PubMed] [Google Scholar]
- Fristad MA, Emery BL, Beck SJ. Use and abuse of the Children’s Depression Inventory. Journal of Consulting and Clinical Psychology. 1997;65:699–702. doi: 10.1037//0022-006x.65.4.699. [DOI] [PubMed] [Google Scholar]
- Furman W, Buhrmester D. Children’s perceptions of the personal relationships in their social networks. Developmental Psychology. 1985;21:1016–1024. [Google Scholar]
- Furman W, Buhrmester D. Age and Sex Differences in Perceptions of Networks of Personal Relationships. Child Development. 1992;63:103–115. doi: 10.1111/j.1467-8624.1992.tb03599.x. [DOI] [PubMed] [Google Scholar]
- Goodman R. Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry. 2001;40:1337–1345. doi: 10.1097/00004583-200111000-00015. [DOI] [PubMed] [Google Scholar]
- Gotlib IH, Lewinsohn PM, Seeley JR. Symptoms versus a diagnosis of depression: Differences in psychosocial functioning. Journal of Consulting and Clinical Psychology. 1995;63:90–100. doi: 10.1037//0022-006x.63.1.90. [DOI] [PubMed] [Google Scholar]
- Grant KE, Compas BE, Stuhlmacher A, Thurm AE, McMahon S, Halpert J. Stressors and child and adolescent psychopathology: Moving from markers to mechanisms of risk. Psychological Bulletin. 2003;129:447–466. doi: 10.1037/0033-2909.129.3.447. [DOI] [PubMed] [Google Scholar]
- Grant KE, Compas BE, Thurm A, McMahon S, Gipson P, Campbell A, et al. Stressors and child and adolescent psychopathology: Evidence of moderating and mediating effects. Clinical Psychology Review. 2006;26:257–283. doi: 10.1016/j.cpr.2005.06.011. [DOI] [PubMed] [Google Scholar]
- Grant KE, McMahon SD. Conceptualizing the role of stressors in the development of psychopathology. In: Hankin BL, Abela RZ, editors. Development of psychopathology: A vulnerability-stress perspective. Thousand Oaks, CA: Sage Publications; 2005. pp. 3–31. [Google Scholar]
- Hammen C. Generation of stress in the course of unipolar depression. Journal of Abnormal Psychology. 1991;100:555–561. doi: 10.1037//0021-843x.100.4.555. [DOI] [PubMed] [Google Scholar]
- Hammen C. Cognitive, life stress, and interpersonal approaches to a developmental psychopathology model of depression. Development and Psychopathology. 1992;4:189–206. [Google Scholar]
- Hammen C. Stress Generation in Depression: Reflections on origins, research, and future directions. Journal of Clinical Psychology. 2006;62:1065–1082. doi: 10.1002/jclp.20293. [DOI] [PubMed] [Google Scholar]
- Hankin BL. Cognitive vulnerability-stress model of depression during adolescence: Investigating symptom specificity in a multi-wave prospective study. Journal of Abnormal Child Psychology. doi: 10.1007/s10802-008-9228-6. (in press-a) [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hankin BL. Rumination and depression in adolescence: Investigating symptom specificity in a multi-wave prospective study. Journal of Clinical Child and Adolescent Psychology (in press-b) [Google Scholar]
- Hankin BL, Abramson LY. Development of gender differences in depression: An elaborated cognitive vulnerability-transactional stress theory. Psychological Bulletin. 2001;127:773–796. doi: 10.1037/0033-2909.127.6.773. [DOI] [PubMed] [Google Scholar]
- Hankin BL, Abramson LY. Measuring cognitive vulnerability to depression in adolescence: Reliability, validity and gender differences. Journal of Clinical Child and Adolescent Psychology. 2002;31:491–504. doi: 10.1207/S15374424JCCP3104_8. [DOI] [PubMed] [Google Scholar]
- Hankin BL, Fraley RC, Lahey BB, Waldman I. Is youth depressive disorder best viewed as a continuum or discrete category? A taxometric analysis of childhood and adolescent depression in a population-based sample. Journal of Abnormal Psychology. 2005;114:96–110. doi: 10.1037/0021-843X.114.1.96. [DOI] [PubMed] [Google Scholar]
- Hankin BL, Kassel JD, Abela JRZ. Adult attachment dimensions and specificity of emotional distress symptoms: Prospective investigations of cognitive risk and interpersonal stress generation as mediating mechanisms. Personality and Social Psychology Bulletin. 2005;31:136–151. doi: 10.1177/0146167204271324. [DOI] [PubMed] [Google Scholar]
- Hankin BL, Mermelstein R, Roesch L. Sex differences in adolescent depression: Stress exposure and reactivity models. Child Development. 2007;78:279–295. doi: 10.1111/j.1467-8624.2007.00997.x. [DOI] [PubMed] [Google Scholar]
- Hankin BL, Wetter E, Cheely C. Sex differences in child and adolescent depression: A developmental psychopathological approach. In: Abela JRZ, Hankin BL, editors. Handbook of Child and Adolescent Depression. New York, NY: Guilford Press; 2008. pp. 377–414. [Google Scholar]
- Hankin BL, Wetter E, Cheely C, Oppenheimer C. Beck’s cognitive theory of depression in adolescence: Specific prediction of depressive symptoms and transactional influences in a multi-wave prospective study. International Journal of Cognitive Therapy (in press) [Google Scholar]
- Harter S, Stocker C, Robinson NS. The perceived directionality of the link between approval and self-worth: The liabilities of a looking glad self-orientation among young adolescents. Journal of Research on Adolescence. 1996;6:285–308. [Google Scholar]
- Hergovich A, Sirsch U, Felinger M. Self-appraisals, actual appraisals and reflected appraisals of preadolescent children. Social Behavior and Personality. 2002;30:603–612. [Google Scholar]
- Holmbeck G. Post-hoc probing of significant moderational and mediational effects in studies of pediatric populations. Journal of Pediatric Psychology. 2002;27:87–96. doi: 10.1093/jpepsy/27.1.87. [DOI] [PubMed] [Google Scholar]
- Horowitz JL, Garber J, Ciesla J, Young JF, Mufson L. Prevention of depressive symptoms in adolescents: A randomized trial of cognitive-behavioral and interpersonal prevention programs. Journal of Consulting and Clinical Psychology. 2007;75:693–706. doi: 10.1037/0022-006X.75.5.693. [DOI] [PubMed] [Google Scholar]
- Joiner TE, Jr, Catanzaro SJ, Laurent J. Tripartite structure of positive and negative affect, depression, and anxiety in child and adolescent psychiatric inpatients. Journal of Abnormal Psychology. 1996;105:401–409. doi: 10.1037//0021-843x.105.3.401. [DOI] [PubMed] [Google Scholar]
- Joiner T, Coyne JC. The interactional nature of depression: Advances in interpersonal approaches. Washington, DC: American Psychological Association; 1999. [Google Scholar]
- Joiner T, Coyne JC, Blalock J. On the interpersonal nature of depression: Overview and synthesis. In: Joiner T, Coyne JC, editors. The interactional nature of depression: Advances in interpersonal approaches. Washington, DC: American Psychological Association; 1999. pp. 3–19. [Google Scholar]
- Keenan K, Hipwell AE. Preadolescent clues to understanding depression in girls. Clinical Child and Family Psychology Review. 2005;8:89–105. doi: 10.1007/s10567-005-4750-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- King NJ, Ollendick TH, Gullone E. Test anxiety in children and adolescents. Australian Psychologist. 1991;26:25–32. [Google Scholar]
- Kistner J. Children’s peer acceptance, perceived acceptance, and risk for depression. In: Joiner TE, Brown JS, Kistner J, editors. The interpersonal, cognitive, and social nature of depression. Mahwah, NJ: Lawrence Erlbaum Associates Publishers; 2006. pp. 1–21. [Google Scholar]
- Kistner JA, David-Ferdon CF, Repper KK, Joiner TE. Bias and accuracy of children’s perceptions of peer acceptance: Prospective associations with depressive symptoms. Journal of Abnormal Child Psychology. 2006;34:349–361. doi: 10.1007/s10802-006-9028-9. [DOI] [PubMed] [Google Scholar]
- Klein DN, Dougherty LR, Olino TM. Toward guidelines for evidence-based assessment of depression in children and adolescents. Journal of Clinical Child and Adolescent Psychology. 2005;34:412–432. doi: 10.1207/s15374424jccp3403_3. [DOI] [PubMed] [Google Scholar]
- Kovacs M. The Children’s Depression, Inventory (CDI) Psychomarmachology Bulletin. 1985;21:995–998. [PubMed] [Google Scholar]
- Krueger RF, Markon KE. Understanding psychopathology: Melding behavior genetics, personality, and quantitative psychology to develop an empirically based model. Current Directions in Psychological Science. 2006;15:113–117. doi: 10.1111/j.0963-7214.2006.00418.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ladd GW, Troop-Gordon W. The role of chronic peer difficulties in the development of children’s psychological adjustment problems. Child Development. 2003;74:1344–1367. doi: 10.1111/1467-8624.00611. [DOI] [PubMed] [Google Scholar]
- Lahey BB, Applegate B, Waldman ID, Loft JD, Hankin BL, Rick J. The structure of child and adolescent psychopathology: Generating new hypotheses. Journal of Abnormal Psychology. 2004;113:358–385. doi: 10.1037/0021-843X.113.3.358. [DOI] [PubMed] [Google Scholar]
- Lahey BB, Rathouz PJ, Van Hulle C, Urbano RC, Krueger RF, Applegate B, Garriock HA, Chapman DA, Waldman ID. Testing structural models of DSM-IV symptoms of common forms of child and adolescent psychopathology. Journal of Abnormal Child Psychology. 2008;36:187–206. doi: 10.1007/s10802-007-9169-5. [DOI] [PubMed] [Google Scholar]
- Lerner RM. A lifespan perspective for early adolescence. In: Lerner RM, Foch TT, editors. Biological-psychosocial interactions in early adolescence. Hillsdale, NJ: England; 1987. pp. 9–34. [Google Scholar]
- Lewinsohn PM, Rohde P, Seeley JR, Klein DN, Gotlib IH. The consequences of adolescent major depressive disorder on young adults. In: Joiner TE, Brown JS, Kistner J, editors. The interpersonal, cognitive, and social nature of depression. Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers; 2006. pp. 43–68. [Google Scholar]
- Little SA, Garber J. Aggression, depression, and stressful life events predicting peer rejection in children. Development and Psychopathology. 1995;7:845–856. [Google Scholar]
- Masten AS, Roiseman GI, Long JD, Burt KB, Obradovic J, Riley JR, et al. Developmental Cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology. 2005;41:733–746. doi: 10.1037/0012-1649.41.5.733. [DOI] [PubMed] [Google Scholar]
- Mineka S, Watson D, Clark LA. Comorbidity of anxiety and unipolar mood disorders. Annual Review of Psychology. 1998;49:377–412. doi: 10.1146/annurev.psych.49.1.377. [DOI] [PubMed] [Google Scholar]
- Monroe SM, Harkness KL. Life stress, the “Kindling” Hypothesis, and the recurrence of depression: Considerations from a life stress perspective. Psychological Review. 2005;112:417–445. doi: 10.1037/0033-295X.112.2.417. [DOI] [PubMed] [Google Scholar]
- Monroe SM, Roberts JE. Conceptualizing and measuring life stress: Problems, principles, procedures, progress. Stress Medicine. 1990;6:209–216. [Google Scholar]
- Monroe SM, Rohde P, Seeley JR, Lewinsohn PM. Life events and depression in adolescence: Relationship loss as a prospective risk factor for first onset of major depressive disorder. Journal of Abnormal Psychology. 1999;108:606–614. doi: 10.1037//0021-843x.108.4.606. [DOI] [PubMed] [Google Scholar]
- Monroe SM, Simons AD. Diathesis-stress theories in the context of life stress research: Implications for the depressive disorders. Psychological Bulletin. 1991;110:406–425. doi: 10.1037/0033-2909.110.3.406. [DOI] [PubMed] [Google Scholar]
- Nelson DR, Hammen C, Daley SE, Burge D, Davila J. Sociotropic and autonomous personality styles: Contributions to chronic life stress. Cognitive Therapy and Research. 2001;25:61–76. [Google Scholar]
- Nezlek JB. Multilevel modeling in research on personality. In: Robins R, Fraley RC, Krueger R, editors. Handbook of research methods in personality psychology. NY: Guilford; 2007. pp. 502–523. [Google Scholar]
- Nolan SA, Flynn C, Garber J. Prospective relations between rejection and depression in young adolescents. Journal of Personality and Social Psychology. 2003;85:745–755. doi: 10.1037/0022-3514.85.4.745. [DOI] [PubMed] [Google Scholar]
- Olweus D. Vctimization by peers: Antecedents and long-term outcomes. In: Rubin KH, Asendorpf JB, editors. Social withdrawal, inhibition, and shyness in childhood. Hillsdale NJ, England: Lawrence Erlbaum Associates; 1993. pp. 315–341. [Google Scholar]
- Osgood DW, McMorris BJ, Potenza MT. Analyzing multiple-item measures of crime and deviance I: Item response theory scaling. Journal of Quantitative Criminology. 2002;18:267–296. [Google Scholar]
- Pickles A, Hill J. Developmental pathways. In: Cicchetti D, Cohen DJ, editors. Developmental psychopathology, Vol. 1, Theory and method. 2. Hoboken, NJ: John Wiley & Sons Inc; 2006. pp. 211–243. [Google Scholar]
- Pettit JW, Joiner TE. Chronic depression: Interpersonal sources, therapeutic solutions. American Psychological Association; Washington, DC: 2006. p. 213. [Google Scholar]
- Potthoff JG, Holahan CJ, Joiner TE. Reassurance seeking, stress generation, and depressive symptoms: An integrative model. Journal of Personality and Social Psychology. 1995;68:664–670. doi: 10.1037//0022-3514.68.4.664. [DOI] [PubMed] [Google Scholar]
- Prinstein MJ, Borelli JL, Cheah CSL, Simon VA, Aikins JW. Adolescent girls’ interpersonal vulnerability to depressive symptoms: A longitudinal examination of reassurance-seeking and peer relationships. Journal of Abnormal Psychology. 2005;114:676–688. doi: 10.1037/0021-843X.114.4.676. [DOI] [PubMed] [Google Scholar]
- Raudenbush SW, Bryk A, Cheong YF, Congdon R. Hierarchical linear and nonlinear modeling 5.04. Lincolnwood, IL: Scientific Software International; 2001. [Google Scholar]
- Rose A. Co-Rumination in the friendships of girls and boys. Child Development. 2002;73:1830–1843. doi: 10.1111/1467-8624.00509. [DOI] [PubMed] [Google Scholar]
- Rose AJ, Carlson W, Waller EM. Prospective associations of Co-rumination with friendship and emotional adjustment: Considering the socioemotional trade-offs of co-rumination. Developmental Psychology. 2007;43:1019–1031. doi: 10.1037/0012-1649.43.4.1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rose A, Rudolph K. A Review of Sex Differences in Peer Relationship Processes: Potential Trade-offs for the Emotional and Behavioral Development of Girls and Boys. Psychological Bulletin. 2006;132:98–131. doi: 10.1037/0033-2909.132.1.98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rose A, Schwartz RA, Carlson W. An observational assessment of co-rumination in the friendships of girls and boys. Paper presented at Society for Research in Adolescence; San Fransisco, CA. 2005. [Google Scholar]
- Rudolph KD, Flynn M, Abaied JL. A developmental perspective on interpersonal theories of youth depression. In: Abela JRZ, Hankin BL, editors. Handbook of Depression in Children and Adolescents. New York, NY: Guilford Press; 2008. [Google Scholar]
- Rudolph KD, Hammen C. Age and gender as determinants of stress exposure, generation, and reactions in youngsters: A transactional perspective. Child Development. 1999;70:660–677. doi: 10.1111/1467-8624.00048. [DOI] [PubMed] [Google Scholar]
- Rudolph KD, Hammen C, Burge D, Lindberg N, Herzberg D, Daley S. Toward an interpersonal life-stress model of depression: The developmental context of stress generation. Development and Psychopathology. 2000;12:215–234. doi: 10.1017/s0954579400002066. [DOI] [PubMed] [Google Scholar]
- Rudolph KD, Hammen C, Daley SE. Mood Disorders. In: Wolfe DA, Mash EJ, editors. Behavioral and emotional disorders in adolescents: Nature, assessment, and treatment. New York, NY: Guilford Publications; 2006. pp. 300–342. [Google Scholar]
- Rutter M, Caspi A, Moffitt TE. Using sex differences in psychopathology to study causal mechanisms: Unifying issues and research. Journal of Child Psychiatry and Psychology. 2003;44:1092–1115. doi: 10.1111/1469-7610.00194. [DOI] [PubMed] [Google Scholar]
- Rutter M, Kim-Cohen J, Maughan B. Continuities and discontinuities in psychopathology between childhood and adult life. Journal of Child Psychology and Psychiatry. 2006;47:276–295. doi: 10.1111/j.1469-7610.2006.01614.x. [DOI] [PubMed] [Google Scholar]
- Sameroff AJ. Developmental systems and psychopathology. Development and Psychopathology. 2000;12:297–312. doi: 10.1017/s0954579400003035. [DOI] [PubMed] [Google Scholar]
- Sameroff AJ, Chandler M. Reproductive risk and the continuum of care-taking casualty. In: Horowitz F, Hetherington E, Scarr-Salapatek P, Siegal A, editors. Review of child development research. Vol. 4. Chicago, IL: University of Chicago Press; 1975. [Google Scholar]
- Sameroff AJ, MacKenzie MJ. Research strategies for capturing transactional models of development: The limits of the possible. Development and Psychopathology. 2003;15:613–640. doi: 10.1017/s0954579403000312. [DOI] [PubMed] [Google Scholar]
- Schulenberg JE, Sameroff AJ, Cicchetti D. The transition to adulthood as a critical juncture in the course of psychopathology and mental health. Development and Psychopathology. 2004;16:799–806. doi: 10.1017/s0954579404040015. [DOI] [PubMed] [Google Scholar]
- Segrin C. Social skills and negative life events: Testing the deficit stress generation hypothesis. Current Psychology: Developmental, Learning, Personality, Social. 2001;20:19–35. [Google Scholar]
- Shanahan MJ, Bauer DJ. Developmental properties of transactional models: The case of life events and mastery from adolescence to young adulthood. Development and psychopathology. 2004;16:1095–1117. doi: 10.1017/s0954579404040155. [DOI] [PubMed] [Google Scholar]
- Shih JH. Sex differences in stress generation: An examination of sociotropy/autonomy, stress, and depressive symptoms. Personality and Social Psychology Bulletin. 2006;32:434–446. doi: 10.1177/0146167205282739. [DOI] [PubMed] [Google Scholar]
- Simons AD, Angell KL, Monroe SM, Thase ME. Cognition and life stress in depression: Cognitive factors and the definition, rating, and generation of negative life events. Journal of Abnormal Psychology. 1993;102:584–591. [PubMed] [Google Scholar]
- Stark KD, Laurent J. Joint factor analysis of the Children’s Depression Inventory and the Revised Children’s Manifest Anxiety Scale. Journal of Clinical Child Psychology. 2001;30:552–567. doi: 10.1207/S15374424JCCP3004_11. [DOI] [PubMed] [Google Scholar]
- Steinberg L, Dahl R, Keating D, Kupfer DJ, Masten AS, Pine DS. The study of developmental psychopathology in adolescence; Integrating affective neuroscience with the study of context. In: Cicchetti D, Cohen DJ, editors. Developmental psychopathology, Vol. 1, Theory and method. 2. Hoboken, NJ: John Wiley & Sons Inc; 2006. pp. 211–243. [Google Scholar]
- Timbremont B, Braet C, Dreessen L. Assessing depression in youth: relation between the Children’s Depression Inventory and a structured interview. Journal of Clinical Child and Adolescent Psychology. 2004;33:149–157. doi: 10.1207/S15374424JCCP3301_14. [DOI] [PubMed] [Google Scholar]
- Tram JM, Cole DA. A multimethod examination of the stability of depressive symptoms in childhood and adolescence. Journal of Abnormal Psychology. 2006;115:674–686. doi: 10.1037/0021-843X.115.4.674. [DOI] [PubMed] [Google Scholar]
- Vollebergh WAM, Iedema J, Bijl RV, de Graaf R, Smit F, Ormel J. The structure and stability of common mental disorders: The NEMESIS Study. Archives of General Psychiatry. 2001;58:597–603. doi: 10.1001/archpsyc.58.6.597. [DOI] [PubMed] [Google Scholar]
- Watson D. Rethinking the mood and anxiety disorders: A quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology. 2005;114:522–536. doi: 10.1037/0021-843X.114.4.522. [DOI] [PubMed] [Google Scholar]
- Watson D, Weber K, Assenheimer JS, Clark LA, Straus ME, McCormick RA. Testing a tripartite model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales. Journal of Abnormal Psychology. 1995;104:3–14. doi: 10.1037//0021-843x.104.1.3. [DOI] [PubMed] [Google Scholar]
- Wingate LR, Joiner TE. Depression-related stress generation: A longitudinal study of Black adolescents. Behavior Therapy. 2004;35:247–261. [Google Scholar]
- Zahn-Waxler C, Crick NR, Shirtcliff EA, Woods KE. The origins and development of psychopathology in females and males. In: Cicchetti D, Cohen DJ, editors. Developmental Psychopathology, Vol 1: Theory and method. 2. Hoboken, NJ: John Wiley & Sons Inc; 2006. pp. 76–138. [Google Scholar]
- Zarbatany L, McDougall P, Hymel S. Gender-differentiated experience in the peer culture: Links to intimacy in preadolescence. Social Development. 2000;9:62–79. [Google Scholar]