Adverse childhood experiences and mental health in young adults: a longitudinal survey
© Schilling et al; licensee BioMed Central Ltd. 2007
Received: 16 June 2006
Accepted: 07 March 2007
Published: 07 March 2007
Adverse childhood experiences (ACEs) have been consistently linked to psychiatric difficulties in children and adults. However, the long-term effects of ACEs on mental health during the early adult years have been understudied. In addition, many studies are methodologically limited by use of non-representative samples, and few studies have investigated gender and racial differences. The current study relates self-reported lifetime exposure to a range of ACEs in a community sample of high school seniors to three mental health outcomes–depressive symptoms, drug abuse, and antisocial behavior–two years later during the transition to adulthood.
The study has a two-wave, prospective design. A systematic probability sample of high school seniors (N = 1093) was taken from communities of diverse socioeconomic status. They were interviewed in person in 1998 and over the telephone two years later. Gender and racial differences in ACE prevalence were tested with chi-square tests. Each mental health outcome was regressed on one ACE, controlling for gender, race/ethnicity, and SES to obtain partially standardized regression coefficients.
Most ACEs were strongly associated with all three outcomes. The cumulative effect of ACEs was significant and of similar magnitude for all three outcomes. Except for sex abuse/assault, significant gender differences in the effects of single ACEs on depression and drug use were not observed. However, boys who experienced ACEs were more likely to engage in antisocial behavior early in young adulthood than girls who experienced similar ACEs. Where racial/ethnic differences existed, the adverse mental health impact of ACEs on Whites was consistently greater than on Blacks and Hispanics.
Our sample of young adults from urban, socio-economically disadvantaged communities reported high rates of adverse childhood experiences. The public health impact of childhood adversity is evident in the very strong association between childhood adversity and depressive symptoms, antisocial behavior, and drug use during the early transition to adulthood. These findings, coupled with evidence that the impact of major childhood adversities persists well into adulthood, indicate the critical need for prevention and intervention strategies targeting early adverse experiences and their mental health consequences.
Adverse childhood experiences (ACEs) have been consistently linked to psychiatric difficulties in children and adults [1–20]. Much of the research documenting these associations has been performed on clinical and/or cross-sectional samples; only recently have these associations been documented in large, community samples [2, 6, 12–18, 20]. A notable recent series of research studies on this topic has linked ACEs to a range of mental health outcomes well into adulthood (e.g., [12, 14, 17, 18]) However, very few studies have investigated the association of ACEs with mental health in early adulthood. The current study investigates the prevalence of a variety of lifetime ACEs reported by a sample of racially and economically diverse high school seniors, and estimates the impact of these experiences on three mental health outcomes–depression, drug use, and antisocial behavior–assessed two years later. In addition, this study investigates under-explored gender and racial/ethnic differences in these associations.
Despite the substantial body of research tying childhood experiences to adult mental health, the paucity of studies examining the effects of ACEs during the years following high school constitutes a weak link in the developmental and epidemiological literature. For many youths, this is a tumultuous time, as evidenced by a higher frequency of exposure to major life events [21, 22] and higher rates of mental disorder than at any other life stage [23, 24]. Mental health consequences of ACEs may disrupt these normal developmental processes , increasing the risk of poor adult adjustment.
The possibility that gender and race/ethnicity may moderate the impact of ACEs on mental health during young adulthood has not received much attention in the research literature. This may be because low prevalences for many childhood ACEs make subgroup analyses difficult. We are aware of only a handful of studies that have investigated gender differences in young adult samples [2, 8, 9]. Compared to gender, even less is known about racial/ethnic differences in the mental health impact of ACEs, despite the possibility that cultural context may modify their effects [25–27]. Most previous samples have included limited ethnic diversity (e.g., [8, 20]), or have been too small to investigate such effects.
An additional limitation of existent research on the mental health impact of ACEs involves the limited number of outcomes examined. As Kessler et al.  have noted, few studies have examined multiple mental health outcomes simultaneously and most literature on the impact of victimization (other than child abuse) is limited to PTSD (see ). The possibility of specificity in the effects of ACEs on mental health renders investigations limited to a single mental health dimension problematic because the absence of an adversity-outcome association for one type of outcome may falsely imply that no associations exist for other outcomes [28, 29]. Similarly, although a few studies have included a range of events experienced in childhood and adolescence [2, 8, 9, 12–18, 20], the number of ACEs assessed in most studies is limited. Thus, comparisons of the effects of various events across mental health outcomes are difficult to make. To our knowledge, only six studies [2, 6, 10, 11, 13, 16], have investigated the effects of a variety of ACEs on a variety of psychiatric outcomes; in general, little specificity in ACE-outcome associations was found.
Our study aims to advance our understanding of the effects of lifetime trauma and adversity on the mental health of young adults transitioning from high school into the wider world. In addition to the advantage of focusing on a specific developmental period, this study has methodological advantages over many previous studies. First, because our sample consists of high school seniors systematically selected from a set of racially and economically diverse communities, it contains a natural cohort-matched comparison group. Most previous studies of ACEs and mental health are compromised by the lack of such a comparable comparison group . Second, the diverse nature of the sample provides a frequency of rare ACEs high enough to reliably assess the effects of individual ACEs on mental health outcomes, and to investigate gender and racial/ethnic differences. Third, our sample includes a large number of participants of one age group with the result that age is not confounded with base rates of psychiatric disorder, lifetime exposure to trauma, or other social variables such as employment or marital status [23, 29]. Finally, the late adolescent period may be the optimal time to obtain a comprehensive self-report of lifetime trauma and adversity in the pre-adult years in terms of accuracy of memory, as Perkonigg et al. have discussed . Thus, our study addresses a gap in current knowledge by combining methodological advantages of studying the association of ACEs with mental health in early adulthood with the importance of this developmental period.
Sample and procedures
The data for these analyses come from the first two waves of a prospective study of childhood experiences, adolescent development, and mental health among students in 7 communities/school districts in the Boston Massachusetts metropolitan area. The communities represented were selected from the Boston CMSA (Consolidated Metropolitan Statistical Area), which defines a large, contiguous geographic area in eastern Massachusetts and includes major cities whose schools were selected to insure the sample would reflect diversity in family socioeconomic background and ethnicity, as well as diversity among the students in post-high school educational and work pathways. This study was approved by the University of Massachusetts-Boston Internal Review Board.
A systematic probability sample of 1,578 high school seniors from 9 public schools serving these communities was selected using official rosters obtained from each school. Students were sampled proportionate to the size of the high school they were attending. A total of 1143 of these students were interviewed in the winter and spring of 1998, representing a 72% response rate. Interviews were also conducted with former students of these schools who would have been in the senior cohort but who dropped out. School systems provided initial lists of former students who met the criteria for dropping out: they had left school prior to graduation and had not transferred to another high school within 6 months, or had taken a temporary leave of absence. Efforts to contact these former students yielded the estimate that only 2/3 of the individuals on our lists actually met the dropout criteria described above. Interviews were completed with 182 students, resulting in an estimated response rate of 70%.
At Time 1, personal interviews, averaging 70 minutes in length, were conducted by trained professional interviewers from the University of Massachusetts Center for Survey Research. A total of 66 interviews were done over the phone for individuals who were not available for a personal interview. Passive parental consent was obtained from parents following a home mailing of study information including a letter from the school indicating their support. Students gave their consent for participation at the time of the interview and were given a gift of two movie tickets for their time.
The second wave of interviews was conducted in 2000 and involved 1093 members (83%) of the Time 1 sample, which includes both the graduates and dropouts. This interview was conducted over the telephone with all individuals, with verbal consent given at that time. Participants were given a check for $50 in appreciation for their time. Attrition from the sample was largely a result of an inability to trace respondents due to relocation. Only 3% (n = 52) of the Time 1 sample refused to participate in the follow-up; in addition, less than 1% (n = 12) of participants did not participate in the follow-up because of the refusal of a parent or other proxy. We examined variables associated with study retention through estimating a logistic regression model that included dummy variables for race/ethnicity (with whites the omitted category), gender, dropout status, parents' highest education, family standard of living, depressed mood, and family support. Significant predictors of study attrition (all p < .001) included: being Black or Hispanic, dropout status, and having less educated parents (p < .001). Specifically, there was a 12% attrition rate among Whites, in contrast with a 31% rate among Hispanics, and from 18 to 22% among the other race/ethnic groups. The attrition rate for the dropout subsample was estimated on the basis of a projected eligibility rate of 2/3, based on the numbers of individuals who were designated as dropouts in our screenings. Therefore we report an estimated attrition rate of 30%, which includes 14% refusals and 16% non-interviews due to an inability to make contact after an average of 23 tries.
Demographic information at Wave 1
Less than High School
High School Graduatea
College Degree or Above
20 and above
Intact Two Parent
Three dependent mental health variables were used in this analysis: depressed mood, frequency of drug use, and frequency of antisocial behavior. Each outcome variable was standardized to have a mean of 0 and a standard deviation of 1. Depressed mood was measured with a modified 12-item version of the 20- item Center for Epidemiological Studies' Depression (CESD) scale . The measure has an internal consistency of .81 at Time 1 and .82 at Time 2. Antisocial behavior was assessed by asking respondents to report the number of times in the past 12 months that they had participated in 14 types of aggressive and/or illegal behavior. Prior to calculating a summary measure, frequencies of each item were truncated to 10, in order to diminish the effect of outliers. Drug use was assessed with a self-administered form assessing frequency of (a) illegal drugs used or (b) legal drugs used without a doctor's prescription, in larger amounts than prescribed, or for a longer period of time than prescribed. Respondents were asked how many times in the past 12 months they had used each drug, from "never" to "more than 10 times," and a summary variable was created indicating the mean frequency of use. Missing data for the summary measures were excluded from analyses, resulting in an effective sample size ranging between 1018 and 1091 for these analyses.
Respondent's self-identified race and ethnic background was obtained in the Time 1 interview by using the two-pronged approach used in the 2000 Census. We first asked respondents whether they considered themselves to be of Hispanic or Latino origin, followed by a question about race which allowed for the selection of one or more options. In coding a single measure of race/ethnic identity, we maintained as a group all individuals who said they were of Hispanic or Latino background, irrespective of their racial designation. From these variables, we were able to identify 5 race/ethnic groups for analyses: Whites, Hispanics, Blacks, Asian Americans, and multi-ethnic youth.
Participants answered a series of questions regarding ACEs that ever happened in his/her life. The content and structure of these items are identical to items used previously by  and in the NCS (e.g., ). The items included (a) Did your parents ever have a marital separation of one month or more? (b) Were you ever sent away from home because you did something wrong or your parents felt they couldn't handle you? (c) Did your father or mother not have a job for a long time when they wanted to work? (d) Did either of your parents drink or use drugs so often or so regularly that it caused problems for the family? For items (e) through (l) participants were asked "did this ever happen to you?" (e) You witnessed someone being badly injured or killed? (f) You were seriously physically attacked or assaulted? (g) You were physically abused as a child? (h) You were seriously neglected as a child? (i) You were threatened with a weapon, held captive, or kidnapped? (j) You witnessed someone being badly injured or killed? For each of the above questions, dummy variables were created, coded as "1" if the participant answered "yes" and "0" if the participant answered "no."
In addition, to assess sexual abuse/assault events, participants were asked if they had ever been: (j) raped (someone had sexual intercourse with you when you did not want to by threatening you or using some degree of force) (k) sexually molested (someone touched or felt your genitals when you did not want them to) and/or (l) sexually abused as a child. To prevent duplication in the reporting of sexual victimization, respondents were instructed to exclude previously reported events in answering the latter two questions (k and l). The effects of these events on the three mental health outcomes were assessed for each event individually in preliminary analyses. Because of the overlap among these items due to the way these questions were structured, and due also to the similarity in their effects on each outcome, a participant who answered "yes" to any of these outcomes was coded "1" on a single dummy variable. A participant was coded "0" on the sexual abuse/assault variable if they answered no to all three questions.
Finally, recent research indicates that multiple ACEs increase the risk of experiencing psychiatric disorder [11–15, 33]. To make a preliminary estimate of the cumulative effect of ACEs on mental health in young adulthood, we employed the sum of the dummy variables described above. To limit skew, this variable was truncated at 5.
Overview of analysis
In the first set of analyses, ACE prevalences were calculated for the entire sample and within gender and race/ethnic categories. Chi-square tests were performed to determine whether ACE prevalences differed by race/ethnicity or gender.
The second set of analyses involved estimating the effects of ACEs reported at Wave 1 on the three mental health outcomes assessed at Wave 2. Wave 2 mental health outcomes were used in an effort to minimize recall bias related to the selective memory of persons in depressed affective states for lifetime stressful events . Three sets of regressions were performed. The first set included separate regressions of each mental health outcome on each ACE. The second set included a test of gender differences in effects of each ACE on the outcome measures. The final set included a test of differences in the effects of ACEs on mental health for Whites, Blacks, and Hispanics for participants in those racial/ethnic groups. All regressions included a control for parents' education as an indicator of SES.
Multiple comparisons were handled by ensuring that the number of significant tests in a set of analyses exceeded those expected by chance at an alpha level of .05 before interpreting individual effects. For example, we conducted 30 regressions to investigate race/ethnicity effects (10 ACEs with 3 outcomes). At the .05 alpha level, we would expect that 1 to 2 sets of ACE X race/ethnicity interactions would be significant. In each case, the number of significant differences exceeded those expected by chance by a wide margin.
Prevalence of adverse childhood experiences (ACEs) reported by high school seniors
Sent away from home
Parent drink/drug problem Race
Witnessed injury/murder Sex, Race
Sex abuse/assault Sex, Race
Physically assaulted Sex
Seriously neglected Sex
Threatened/captive Sex, Race
Significant racial/ethnic differences are also evident in the prevalence data in Table 2. Approximately 1 in 6 White respondents reported that one of their parents had a drinking or drug problem, a rate approximately 50% higher than the rate reported by Blacks, and 30% higher than the rate reported by Hispanics. 1 in 4 Black and Hispanic respondents reported witnessing a serious injury or murder, a rate twice as high as that reported by Whites. Finally, about 1 in 6 Hispanics reported being threatened with a weapon, held captive, or kidnapped. This rate was 43% higher than the rate reported by Whites and almost two times higher than the rate reported by Blacks.
Effects of ACEs on mental health
Individual and cumulative effects of ACEs on standardized mental health outcomes
Sent away from home
Parent drink/drug problem
Sum of ACEs
Effects of ACEs across mental health outcomes were generally similar for a given ACE. As is evident from the coefficients in Table 3, the effect of experiencing at least one ACE ("Any ACE") and the ACE cumulative effect were significant and of similar magnitude for all 3 outcomes. Increasing ACE frequency was significantly associated with increasing impact on depressive symptoms (b = .158), drug use (b = .165), and antisocial behavior (b = .168). This effect becomes quite strong when a respondent has experienced multiple ACEs. For example, respondents who experienced four ACEs scored, on average, approximately 1 standard deviation higher on each outcome than persons who had experienced no ACEs.
As a prelude to examining gender differences in the effects of ACEs on mental health, we note that girls and boys differed significantly in average levels of drug use and antisocial behavior. Boys, compared to girls, reported more frequent drug use (M = 1.28, SD = .51 vs. M = 1.20, SD = .43; data not shown) and antisocial behavior (M = .22, SD = .62 vs. M = .06, SD = .33). The mean level of depressive symptoms did not differ by gender, however (M = 1.69, SD = .48 vs. 1.74, SD = .52, respectively).
Effects of ACEs separately by gender on standardized mental health outcomes with significant gender effects
Sum of ACEs
Sent away from home
Sum of ACEs
Race and ethnic differences
Regarding race and ethnic differences, again we begin by noting that mean levels of drug use and depressive symptoms differed among Whites, Blacks, and Hispanics. Hispanics reported the highest depressive symptoms (M = 1.88, SD = .55) followed by Blacks (M = 1.80, SD = .52) and Whites (M = 1.65, SD = .49). Whites reported the highest levels of drug use (M = 1.34, SD = .57) followed by Hispanics (M = 1.13, SD = .31) and Blacks (M = 1.08, SD = .15). The frequency of antisocial behaviors did not differ between these three groups: Whites (M = .14, SD = .53), Blacks (M = .14, SD = .52), Hispanics (M = .12, SD = .31).
Effects of ACEs by race on standardized mental health outcomes with significant race differences
Sent away from home
Parent drink/drug problem
Sum of ACEs
Parent drink/drug problem
Our results clearly demonstrate that a large percentage of young people from at-risk communities enter adulthood with serious adversity in their pasts. High school seniors in this sample suffered high levels of exposure to ACEs during their lifetimes, most likely due to the urban, socio-economically disadvantaged character of the communities in this study. Rates of most ACEs reported by girls and boys in this sample exceed estimates of ACEs occurring before age 16 in the NCS sample , in a rural North Carolina (NC) sample , and in a mostly white, lower middle class sample , although they appear to be lower than those in the Singer et al.  high school sample. In addition, our results highlight the importance of race as a risk factor for exposure to certain types of ACEs. The higher prevalence estimates reported in the present study are almost certainly a function of the greater racial/ethnic diversity relative to previous studies (e.g. [22, 36]).
The public health impact of such high levels of exposure to childhood adversities is evident in their strong and pervasive affects on mental health in early adulthood. Substantial effect sizes for events such as sexual abuse/assault and physical abuse and assault were observed, providing further evidence of the especially pernicious effects of child maltreatment and violence on mental health [3, 6, 11]. In addition, the pervasive nature of these effects–only 1 of the 10 ACEs examined was not significantly associated with multiple mental health outcomes–is consistent with previous research that found little evidence for specificity in the effects of adverse events in the etiology of mental disorders [2, 6, 10, 11, 16]. Our results replicate and strengthen a number of prior studies revealing the broad-based impact of ACEs on depressive symptoms and drug use in early adulthood [15, 37], although the association of ACEs with antisocial behavior in this period of life is to our knowledge a novel finding. While novel, this latter finding was not wholly unanticipated, as it supports Widom's assertion that childhood victimization may be an important cause of juvenile delinquency . Taken together, these findings, coupled with other evidence that the impact of major childhood adversities persists well into adulthood, indicate the critical need for prevention and intervention strategies targeting early adverse experiences and their mental health consequences.
Because the transition to adulthood is a watershed developmental period, the mental health consequences of ACEs are likely to have far-reaching impact by disrupting the establishment of positive roles and relationships that set the course for adult occupational and social attainment [31, 39]. However, understanding the ways in which the mental health consequences of early adversity impact both the selection of and ability to function in young adult roles may provide promising avenues for effective intervention. Because of the fluidity and malleability of roles during this period (see ), the transition to adulthood offers a potential "turning point" in the lives of disadvantaged youth. For example, previous research has shown that both post-secondary education and supportive romantic relationships positively influence the lifecourse trajectories of at-risk young adults [41–45]. Moreover, these roles are likely synergistic in their influence: One of the benefits of higher education in women is that it delays establishment of committed romantic relationships, resulting in higher quality marriages [43, 44] which promote better mental health . Clearly, strategies for preventing serious childhood adversity would be most beneficial: however, the malleability of young adulthood may provide additional opportunities to re-direct lifecourse trajectories in a positive direction and to prevent the adult mental health consequences of ACEs.
Although some gender differences in the impact of ACEs on mental health in young adults were found, our findings, taken as a whole, suggest that the contention that child abuse results in gender-typical psychopathology  is not so clear-cut. Young men are equally as likely as young women to exhibit depressive symptoms in response to ACEs. In addition, although the impact of ACEs on antisocial behavior was generally much stronger among young men, young women exposed to some ACEs do exhibit elevated levels of antisocial behavior. We did find one noteworthy gender difference, however. Sexual abuse/assault is associated with much higher levels of drug use, depressive symptoms and antisocial behavior in young men than in young women. Our results were based on a very small sample of sexually victimized boys, so this finding needs to be viewed with caution. Nevertheless, because the impact of sexual abuse among boys is understudied, this result underlines the need for further longitudinal research on the impact of sexual abuse/assault among boys.
To our knowledge, our study is the first to investigate racial/ethnic differences in the impact of a variety of ACEs on a variety of outcomes for the three most prevalent racial/ethnic groups in the US. Our results indicate that when racial/ethnic differences exist, young Whites consistently exhibit greater vulnerability to ACEs, particularly for externalizing behaviors. One explanation is that these results may illustrate a "steeling effect"  in which youths in some ethnic groups are better able to successfully cope with stress and adversity and are consequently less prone to mental health difficulties. Research on coping processes may provide support for this explanation, as there is evidence that cognitive coping styles more typical among ethnic subcultures may explain differential racial/ethnic vulnerability to stress . For example, differences in coping styles partially explain greater vulnerability to PTSD among Hispanic compared to Black and White police officers (see ), and greater religiosity, found among Blacks compared to Whites, has been found to be protective .
Finally, the limitations of our study need to be noted. While our response rates were high for the original survey of respondents, as well as for the follow-up, the differential attrition of Hispanic and Black respondents relative to Whites is a limitation. In addition, despite the use of multiple waves of data to separate predictors from outcomes, the direction of causality between ACEs and mental health may be tenuous. This is particularly true for antisocial behavior and drug use, both of which may increase exposure to some types of ACEs; moreover a complicated, non-recursive relationship between ACEs and childhood antisocial/drug activity may exist (see  for discussion of this issue). Finally, consistent with other studies investigating the relationship between ACEs and mental health [2, 6, 8], we did not take into account the age at which the adversities occurred in our analysis. Although this is clearly an important factor in determining their developmental impact (see ), we were unable to consider age at occurrence because of the low frequency of occurrence of these ACEs in our data. This is an important avenue for future study.
Our sample of young adults from urban, socio-economically disadvantaged communities reported high prevalences of adverse childhood experiences. The public health impact of childhood adversity is evident in the very strong association between childhood adversity and depressive symptoms, antisocial behavior, and drug use during the early transition to adulthood. These findings, coupled with evidence that the impact of major childhood adversities persists well into adulthood, indicate the critical need for prevention and intervention strategies targeting early adverse experiences and their mental health consequences.
This research is supported by grants from the National Institute of Mental Health (R01-MH55626) and from the William T. Grant Foundation. The authors gratefully acknowledge the support of Karen Bourdon, NIMH Project Office and the Center for Survey Research which conducted the data collection. We thank Mary Ellen Colten, Dorothy Cerankowski, Phyllis Doucette, Stacey Kadish, Michelle Poulin, and Karen Verrochi for their contributions to the project.
- Kendall-Tackett KA, Williams LM, Finkelhor D: Impact of sexual abuse on children: A review and synthesis of recent empirical studies. Psychol Bull. 1993, 113: 164-180. 10.1037/0033-2909.113.1.164.View ArticlePubMedGoogle Scholar
- Kessler RC, Davis CG, Kendler KS: Childhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychol Med. 1997, 27: 1101-1119. 10.1017/S0033291797005588.View ArticlePubMedGoogle Scholar
- Kessler RC, Magee WJ: Childhood adversities and adult depression: basic patterns of association in a US national survey. Psychol Med. 1993, 23: 679-690.View ArticlePubMedGoogle Scholar
- Kessler RC, Magee WJ: Childhood family violence and adult recurrent depression. J Health Soc Behav. 1994, 35: 13-27. 10.2307/2137332.View ArticlePubMedGoogle Scholar
- Boney-McCoy S, Finkelhor D: Psychosocial sequelae of violent victimization in a national youth sample. J Consult Clin Psychol. 1995, 63: 726-736. 10.1037/0022-006X.63.5.726.View ArticlePubMedGoogle Scholar
- Singer MI, Anglin TM, Song Ly, Lunghofer L: Adolescents' exposure to violence and associated symptoms of psychological trauma. JAMA. 1995, 273: 477-482. 10.1001/jama.273.6.477.View ArticlePubMedGoogle Scholar
- Horwitz AV, Widom CS, McLaughlin J, White HR: The impact of childhood abuse and neglect on adult mental health: A prospective study. J Health Soc Behav. 2001, 42: 184-201. 10.2307/3090177.View ArticlePubMedGoogle Scholar
- Giaconia RM, Reinherz HZ, Silverman AB, Pakiz B, Frost AK, Cohen E: Traumas and posttraumatic stress disorder in a community population of older adolescents. J Am Acad Child Adolesc Psychiatry. 1995, 34: 1369-1380. 10.1097/00004583-199510000-00023.View ArticlePubMedGoogle Scholar
- Sher KJ, Gershuny BS, Peterson L, Raskin G: The role of childhood stressors in the intergenerational transmission of alcohol use disorders. J Stud Alcohol. 1997, 58: 414-427.View ArticlePubMedGoogle Scholar
- Kilpatrick DG, Ruggiero KJ, Acierno R, Saunders BE, Resnick HS, Best CL: Violence and risk of PTSD, major depression, substance abuse/dependence, and cormorbidity: Results from the National Survey of Adolescents. J Consult Clin Psychol. 2003, 71: 692-700. 10.1037/0022-006X.71.4.692.View ArticlePubMedGoogle Scholar
- Turner HA, Finkelhor D, Ormrod R: The effect of lifetime victimization on the mental health of children and adolescents. Soc Sci Med. 2006, 62: 13-27. 10.1016/j.socscimed.2005.05.030.View ArticlePubMedGoogle Scholar
- Chapman DP, Whitfield CL, Felitti VJ, Dube SR, Edwards VJ, Anda RF: Adverse childhood experiences and the risk of depressive disorders in adulthood. J Affect Disord. 2004, 82: 217-225. 10.1016/j.jad.2003.12.013.View ArticlePubMedGoogle Scholar
- Turner RJ, Lloyd DA: Lifetime traumas and mental health: the significance of cumulative adversity. J Health Soc Behav. 1995, 36: 360-376. 10.2307/2137325.View ArticlePubMedGoogle Scholar
- Dube SR, Anda RF, Felitti VJ, Chapman DP, Williamson DF, Giles WH: Childhood abuse, household dysfunction, and the risk of attempted suicide throughout the life span: Findings from the adverse childhood experiences study. JAMA. 2001, 286: 3089-3096. 10.1001/jama.286.24.3089.View ArticlePubMedGoogle Scholar
- Turner RJ, Lloyd DA: Cumulative adversity and drug dependence in young adults: Racial/ethnic contrasts. Addiction. 2003, 98: 305-315. 10.1046/j.1360-0443.2003.00312.x.View ArticlePubMedGoogle Scholar
- Mullen PE, Martin JL, Anderson JC, Romans SE, Herbison GP: The long-term impact of the physical, emotional, and sexual abuse of children: a community study. Child Abuse Negl. 1996, 20: 7-21. 10.1016/0145-2134(95)00112-3.View ArticlePubMedGoogle Scholar
- Dube SR, Anda RF, Felitti VJ, Edwards VJ, Croft JB: Adverse childhood experiences and personal alcohol abuse as an adult. Addict Behav. 2002, 27: 713-725. 10.1016/S0306-4603(01)00204-0.View ArticlePubMedGoogle Scholar
- Anda RF, Whitfield CL, Felitti VJ, Chapman D, Edwards VJ, Dube SR, Williamson DF: Adverse childhood experiences, alcoholic parents, and later risks of alcoholism and depression. Psychiatr Serv. 2002, 53: 1001-1009. 10.1176/appi.ps.53.8.1001.View ArticlePubMedGoogle Scholar
- Finkelhor D: The victimization of children: A developmental perspective. Am J Orthopsychiatry. 1995, 65: 177-193. 10.1037/h0079618.View ArticlePubMedGoogle Scholar
- Costello EJ, Erkanli A, Fairbank JA, Angold A: The prevalence of potentially traumatic events in childhood and adolescence. J Trauma Stress. 2002, 15: 99-112. 10.1023/A:1014851823163.View ArticlePubMedGoogle Scholar
- Breslau N, Davis GC, Andreski P, Peterson E: Traumatic events and posttraumatic stress disorder in an urban population of young adults. Arch Gen Psychiatry. 1991, 48: 216-222.View ArticlePubMedGoogle Scholar
- Turner RJ, Wheaton B, Lloyd DA: The epidemiology of social stress. American Sociological Review. 1995, 60: 104-125. 10.2307/2096348.View ArticleGoogle Scholar
- Turner RJ, Lloyd DA: The stress process and the social distribution of depression. J Health Soc Behav. 1999, 40: 374-404. 10.2307/2676332.View ArticlePubMedGoogle Scholar
- Kessler RC, McGonagle KA, Zhao S, Nelson CB, Hughes M, Eshleman S, Wittchen HU, Kendler KS: Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Arch Gen Psychiatry. 1994, 51: 8-19.View ArticlePubMedGoogle Scholar
- Norris FH: Epidemiology of trauma: frequency and impact of different potentially traumatic events on different demographic groups. J Consult Clin Psychol. 1992, 60: 409-418. 10.1037/0022-006X.60.3.409.View ArticlePubMedGoogle Scholar
- Rutter M, Nikapota A: Culture, Ethnicity, Society and Psychopathology. Child and Adolescent Psychiatry. Edited by: Rutter M, Taylor E. 2002, Oxford, United Kingdom: Blackwell Science, Inc, 277-286. 4Google Scholar
- Pole N, Best SR, Metzler T, Marmar CR: Why Are Hispanics at Greater Risk for PTSD?. Cultural Diversity & Ethnic Minority Psychology. 2005, 11: 144-161. 10.1037/1099-9809.11.2.144.View ArticleGoogle Scholar
- Aneshensel CS, Rutter CM, Lachenbruch PA: Social structure, stress, and mental health: Competing conceptual and analytic models. American Sociological Review. 1991, 56: 166-178. 10.2307/2095777.View ArticleGoogle Scholar
- Horwitz AV, White HR, Howell-White S: The use of multiple outcomes in stress research: a case study of gender differences in responses to marital dissolution. J Health Soc Behav. 1996, 37: 278-291. 10.2307/2137297.View ArticlePubMedGoogle Scholar
- Perkonigg A, Kessler RC, Storz S, Wittchen HU: Traumatic events and post-traumatic stress disorder in the community: prevalence, risk factors and comorbidity. Acta Psychiatrica Scandinavica. 2000, 101: 46-59. 10.1034/j.1600-0447.2000.101001046.x.View ArticlePubMedGoogle Scholar
- Gore S, Aseltine RH: Race and Ethnic Differences in Depressed Mood Following the Transition from High School. J Health Soc Behav. 2003, 44: 370-389. 10.2307/1519785.View ArticlePubMedGoogle Scholar
- Radloff LS: The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement. 1977, 1: 385-401. 10.1177/014662167700100306.View ArticleGoogle Scholar
- Haatainen KM, Tanskanen A, Kylma J, Honkalampi K, Koivumaa-Honkanen H, Hintikka J, Antikainen R, Viinamaki H: Gender differences in the association of adult hopelessness with adverse childhood experiences. Soc Psychiatry Psychiatr Epidemiol. 2003, 38: 12-17. 10.1007/s00127-003-0598-3.View ArticlePubMedGoogle Scholar
- Schraedley PK, Turner RJ, Gotlib IH: Stability of retrospective reports in depression: Traumatic events, past depressive episodes, and parental psychopathology. J Health Soc Behav. 2002, 43: 307-316. 10.2307/3090206.View ArticlePubMedGoogle Scholar
- Lipsey MW: Design Sensitivity: Statistical Power for Experimental Research. 1990, Newbury Park, CA: SageGoogle Scholar
- Turner RJ, Avison WR: Status Variations in Stress Exposure: Implications for the Interpretation of Research on Race, Socioeconomic Status, and Gender. J Health Soc Behav. 2003, 44: 488-505. 10.2307/1519795.View ArticlePubMedGoogle Scholar
- Turner HA, Butler MJ: Direct and indirect effects of childhood adversity on depressive symptoms in young adults. Journal of Youth & Adolescence. 2003, 32: 89-103. 10.1023/A:1021853600645.View ArticleGoogle Scholar
- Widom CS: Childhood Victimization: Risk Factor for Delinquency. Adolescent Stress: Causes and Consequences. Edited by: Colten ME, Gore S. 1991, Hawthorne: New York: Aldine de Gruyter, 201-221.Google Scholar
- Gore S, Aseltine R, Colten ME, Lin B: Life after high school: Development, stress, and well-being. Stress and adversity over the life course: Trajectories and turning points. Edited by: Gotlib IH, Wheaton B. 1997, 197-214.View ArticleGoogle Scholar
- Gore S, Aseltine RH, Schilling EA: Transition to adulthood, mental health and adversity. Mental Health, Social Mirror. Edited by: Avison WR, McLeod JD, Pescosolido B. 2007, New York: Springer Verlag, 219-237.View ArticleGoogle Scholar
- Laub JH, Nagin DS, Sampson RJ: Trajectories of change in criminal offending: Good marriages and the desistance process. American Sociological Review. 1998, 63: 225-238. 10.2307/2657324.View ArticleGoogle Scholar
- Roisman GI, Aguilar B, Egeland B: Antisocial behavior in the transition to adulthood: The independent and interactive roles of developmental history and emerging developmental tasks. Dev Psychopathol. 2004, 16: 857-871. 10.1017/S0954579404040040.View ArticlePubMedGoogle Scholar
- Chassin L, Presson CC, Sherman SJ, Edwards DA: The natural history of cigarette smoking and young adult social roles. J Health Soc Behav. 1992, 33: 328-347. 10.2307/2137312.View ArticlePubMedGoogle Scholar
- Rutter M, Rutter M: Developing Minds: Challenge and Continuity Across the Lifespan. 1993, New York: BasicBooksGoogle Scholar
- Schilling EA, Aseltine RH, Gore S: Young Women's Social and Occupational Development and Mental Health in the Aftermath of Child Sexual Abuse. Am J Community Psychol.Google Scholar
- McLeod JD: Childhood parental loss and adult depression. J Health Soc Behav. 1991, 32: 205-220. 10.2307/2136804.View ArticlePubMedGoogle Scholar
- Downey G, Feldman S, Khuri J, Friedman S: Maltreatment and Childhood Depression. Handbook of Depression in Children and Adolescents. Edited by: Reynolds WM, Johnston HE. 1994, New York: Plenum Press, 481-508.View ArticleGoogle Scholar
- Rutter M: Stress research Accomplishments and tasks ahead. 1996, New York, NY, US: Cambridge University Press;Google Scholar
- Kip KE, Peters RH, Morrison-Rodriguez B: Commentary on why national epidemiological estimates of substance abuse by race should not be used to estimate prevalence and need for substance abuse services at community and local levels. Am J Drug Alcohol Abuse. 2002, 28: 545-556. 10.1081/ADA-120006741.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/7/30/prepub
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