Abstract
Objective
Exposure to violence and other forms of potentially traumatic events (PTEs) are common among youths with externalizing psychopathology. These associations likely reflect both heightened risk for the onset of externalizing problems in youth exposed to PTEs and elevated risk for experiencing PTEs among youth with externalizing disorders. We disaggregate the associations between exposure to PTEs and externalizing disorder onset in a population-representative sample of adolescents.
Method
We analyzed data from 13–18-year-old participants in the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A) (N=6,379). Weighted survival models estimated hazard ratios (HRs) for onset of oppositional defiant disorder (ODD), conduct disorder (CD), and substance use disorders (SUDs) associated with PTEs, and for exposure to PTEs associated with prior-onset externalizing disorders. Multiplicative interaction terms tested for effect modification by gender, race/ethnicity, and household income.
Results
All types of PTEs were associated with higher risk for SUD (HRs: 1.29–2.21), whereas only interpersonal violence (HR=2.49) was associated with onset of CD and only among females. No associations were observed for ODD. Conversely, ODD and CD were associated with elevated risk for later exposure to interpersonal violence and other/nondisclosed events (HRs: 1.45–1.75).
Conclusion
Externalizing disorders that typically begin in adolescence, including SUDs and CD, are more likely to emerge in adolescents with prior trauma. ODD onset, in contrast, is unrelated to trauma exposure but is associated with elevated risk of experiencing trauma later in development. CD and interpersonal violence exposure exhibit reciprocal associations. These findings have implications for interventions targeting externalizing and trauma-related psychopathology.
Keywords: Child behavior disorders, substance-related disorders, adolescents, childhood trauma, exposure to violence
INTRODUCTION
Externalizing disorders (EDs), including oppositional defiant disorder (ODD), conduct disorder (CD), and substance use disorders (SUDs), are associated with a range of adverse outcomes including poor academic achievement1 and social functioning,2 mental and physical health problems in adulthood,3,4 long-term economic and interpersonal difficulties,4 and risk for violence perpetration and criminal behavior.4,5 Violence and offending associated with EDs produce substantial costs to society.6,7 Identifying modifiable risk factors for EDs is critical for improving early interventions within both the mental health and criminal justice systems.
Prior studies of children and adolescents show that exposure to potentially traumatic events (PTEs), especially violence and poly-victimization,8,9 is associated with behavior problems and SUDs.10–13 Maltreatment, adverse family environments, and interpersonal violence in childhood are consistently associated with elevated risk for externalizing problems in youth.14–18 In addition, EDs are common in trauma-affected clinical samples.15,19 Conversely, youths with EDs might also be at elevated risk for experiencing PTEs. The disruptive and aggressive behaviors associated with EDs may select youth into high-risk situations where PTEs are more likely to occur5,20 or provoke violence from others.5 Theoretical models suggest recursive associations between trauma and externalizing behaviors wherein exposure to trauma initiates a trajectory of deviance and criminality that in turn may increase likelihood of exposure to more trauma.12,13,21
Disentangling the direction of association between PTEs and EDs is important for targeting early interventions. The current body of evidence on this topic has several limitations. First, few studies have examined these reciprocal associations between trauma and externalizing within the same dataset, accounting for age of exposure or disorder onset. Second, most studies have focused on child maltreatment and adverse home environments as the exposures of interest, even though non-interpersonal PTEs are well-established risk factors for mental disorders in adults.22 Third, most studies have not examined specificity in risk for EDs following trauma, instead focusing on distress symptoms, behavioral delinquency, a single behavior disorder, or a composite of disorders.10,18,23 Fourth, parental psychopathology or substance misuse could increase risk for certain PTEs (e.g., vehicular crashes, family violence) as well as for EDs in children. However, prior studies have either treated these exposures as a separate form of adversity9 or have not adjusted for them as potential confounders.10 Finally, prior studies reveal conflicting findings about whether the associations between different types of PTEs and psychiatric disorders vary by sociodemographic characteristics. Some studies have found gender differences,16,18,26 while others have shown that these effects are invariant by gender, race/ethnicity, or socioeconomic position.17,27,28 Evidence from population-based samples, distinguishing between specific disorders, could help resolve some of this conflicting evidence.
The aims of the current study were to examine the bidirectional associations of PTEs with ODD, CD, and SUD in a representative sample of US adolescents. First, we determined whether exposure to PTEs was associated with the subsequent onset of EDs. Second, we evaluated whether youths with EDs were at elevated risk for experiencing later trauma. Finally, we determined whether these associations were modified by gender, race/ethnicity, or household income.
METHOD
Sample and Study Design
The National Comorbidity Survey Replication–Adolescent Supplement (NCS-A) is a representative, face-to-face survey of 13–18-year-olds in the continental United States.29 This dual-frame survey was carried out between 2001 and 2004, and comprises household and school subsamples.30,31 The household subsample enrolled 904 adolescents from households that participated in the National Comorbidity Survey Replication (NCS-R; response rate: 86.8%). The school subsample included 9,244 adolescents drawn from a representative sample of schools in counties selected for the NCS-R sample (response rate: 82.6%).
Cases from the household sample were weighted for variation in within-household probability of selection. The full sample was weighted for residual discrepancies from population-level sociodemographic and geographic distributions based on the 2000 US census. The merged household and school samples of 10,148 English-speaking adolescents included sums of weights proportional to relative sample sizes, adjusted for design effects in estimating disorder prevalence. Details of weighting procedures are available elsewhere.30,31
A parent or caretaker was asked to complete a self-administered questionnaire (SAQ) pertaining to the participating adolescent’s mental health and developmental history. The response rate for SAQs was 83.7% in the school subsample and 82.5% in the household subsample, conditional on adolescent participation. We excluded adolescents missing a parent SAQ to improve accuracy of diagnoses of ODD and CD, which rely on parent report. We also excluded participants missing a response for any of the PTEs (n=165), for a final analytic sample of 6,379 adolescents.
Written informed consent from adults and assent from adolescents was obtained, and each participant received $50. The Human Subjects Committees of Harvard Medical School and the University of Michigan approved all recruitment and consent procedures. The current study was approved by the Human Subjects Committee at Columbia University.
Measures
Potentially Traumatic Events
PTEs were assessed in the posttraumatic stress disorder (PTSD) section of the Composite International Diagnostic Interview (CIDI) for DSM-IV.9 The CIDI is a fully-structured diagnostic instrument administered by trained lay interviewers.32 Lifetime exposure to 20 PTEs and age of first exposure was reported by adolescents. We created variables for exposure to any traumatic event along with four distinct trauma categories based on prior work in this sample8,17,33: interpersonal violence (physical abuse by caregiver, physical assault by romantic partner, other physical assault, mugged/threatened with weapon, rape, sexual assault, stalked, witnessed domestic violence), accidental/nonintentional events (automobile crash, other life-threatening accident, man-made/natural disaster, exposed to poison/chemical substance, life-threatening illness, accidentally harmed others), network/witnessed events (unexpected death of loved one, traumatic event to loved one, witnessed death/injury) and other/nondisclosed events (kidnapped, other event not listed, private event). We calculated age at first exposure for each trauma category.
Externalizing Disorders
DSM-IV EDs were assessed in the CIDI,29 and parents reported on their child’s externalizing psychopathology in the SAQ. Parent and child reports were combined at the symptom level using an “or” rule for diagnosis of ODD and CD, based on previous studies showing that diagnostic accuracy improved by including parent reports.34,35 Adolescent report only was used to diagnose SUD (alcohol abuse with or without dependence, drug abuse with or without dependence, nicotine dependence). DSM-IV organic exclusion rules were used for all diagnoses. CD and SUDs were defined using hierarchy rules, while ODD was defined as with or without CD. Age-of-onset (AOO) was assessed for each focal disorder using procedures shown experimentally to improve the accuracy of such reports.36
Statistical Analysis
Associations of trauma with first-onset of DSM-IV EDs were assessed using discrete-time survival analysis, with person-year as the unit of analysis. Respondents for whom the onset of the ED of interest preceded exposure to the traumatic event of interest were not considered at risk, and were included in the referent group for analysis in order to establish temporality. We first regressed EDs on trauma categories, adjusting for covariates. Additional models examined multiplicative interactions of trauma with sex, race/ethnicity, and income level in predicting EDs. The same procedures were followed for the converse associations, regressing incident PTEs on EDs and covariates.
All models used hazard ratios (HRs) as their measure of association and were considered significant with a p-value ≤ .05 (95% CI). All analyses adjusted for sex, age, race/ethnicity, household income, and number of biological parents in the home. Regression models also controlled for parent substance misuse and psychopathology, based on adolescent report.
Three sensitivity analyses were conducted. First, we examined whether SUD associations were robust to removal of adolescents with nicotine dependence only (n=173; 20.9% of those with SUD), given that nicotine dependence is relatively common among adolescents and lacks the same intoxicating effects of alcohol and other drugs, suggesting possible different etiologies. Second, we excluded adolescents with attention-deficit/hyperactivity disorder (ADHD; n=549), which may predispose youths to both trauma exposure and later-onset EDs. Third, we explored multiplicative interaction terms between gender, race/ethnicity, and income level with PTE exposure in order to determine whether there was evidence of heterogeneity of the effect size across these demographic covariates. Analyses were conducted in SAS v9.3 and included sample weights to account for the complex survey design of the NCS-A.
RESULTS
Prevalence of socio-demographic variables, PTEs, and EDs in the NCS-A sample is reported elsewhere.8,37 Weighted prevalence of ODD, CD, and SUD by socio-demographic variables and trauma exposure is shown in Table 1, with Wald chi-square tests for prevalence differences. Prevalence of ODD was about two times higher in adolescents reporting accidental trauma (18.0% vs. 9.7%) and other trauma (23.2% vs. 11.1%) relative to their peers, and more than three times higher in adolescents reporting exposure to interpersonal violence (26.5% vs. 8.2%). CD was more than two to four times higher (e.g. 25.4% vs. 6.1% for interpersonal violence) among adolescents reporting all forms of trauma exposure, relative to those with no exposure. Finally, SUD was also two to four times higher (e.g. 11.9% vs. 31.2% for other trauma) among adolescents reporting all forms of trauma. Predicted marginal prevalence of disorders and PTEs based on fully adjusted models are shown in Tables S1 and S2, available online.
Table 1.
ODD (n=775) | CD (n=630) | SUDsa (n=827) | ||||
---|---|---|---|---|---|---|
|
||||||
Number | % (SE) | Number | % (SE) | Number | % (SE) | |
Gender | ||||||
Boys | 410 | 13.74 (1.18) | 380 | 12.15 (1.36) | 448 | 15.06 (1.18) |
Girls | 365 | 10.53 (0.74) | 250 | 8.22 (1.00) | 379 | 12.03 (1.03) |
7.50* | 6.83* | 6.67* | ||||
Age (years) | ||||||
13 | 105 | 10.51 (1.44) | 63 | 6.25 (1.18) | 22 | 2.57 (0.70) |
14 | 165 | 11.31 (1.40) | 111 | 7.37 (1.44) | 68 | 5.47 (0.82) |
15–16 | 318 | 12.49 (1.21) | 263 | 10.61 (1.43) | 355 | 13.96 (1.23) |
17–18 | 187 | 13.55 (1.45) | 193 | 14.87 (1.69) | 382 | 27.70 (2.25) |
2.94 | 15.02* | 71.10** | ||||
Race/ethnicity | ||||||
White, non-Hispanic | 504 | 12.24 (0.87) | 353 | 9.33 (1.13) | 594 | 15.45 (1.19) |
Black non-Hispanic | 123 | 11.06 (1.53) | 129 | 11.46 (2.33) | 64 | 6.05 (1.69) |
Hispanic | 104 | 14.03 (2.38) | 105 | 13.24 (2.29) | 113 | 13.02 (1.63) |
Other | 44 | 9.64 (2.00) | 43 | 10.15 (2.08) | 56 | 13.59 (2.66) |
3.13 | 2.85 | 18.94* | ||||
Household Income | ||||||
Low income | 127 | 13.01 (1.86) | 116 | 12.93 (1.79) | 112 | 12.69 (1.80) |
Low-middle income | 184 | 16.61 (2.01) | 151 | 12.39 (1.51) | 146 | 12.09 (1.91) |
High-middle income | 238 | 11.54 (1.14) | 197 | 10.40 (1.66) | 284 | 15.50 (1.50) |
High income | 226 | 9.89 (0.99) | 166 | 7.70 (1.10) | 285 | 12.98 (1.26) |
11.44* | 12.16* | 3.81 | ||||
Number of biological parents at home | ||||||
Two | 299 | 8.10 (0.62) | 189 | 5.32 (0.77) | 363 | 10.24 (0.84) |
One | 357 | 16.34 (1.32) | 333 | 14.78 (1.76) | 363 | 16.57 (1.81) |
None | 119 | 20.70 (2.26) | 108 | 22.54 (2.46) | 101 | 22.46 (3.10 |
39.73** | 52.21** | 20.35* | ||||
Parent Substance Misuse | ||||||
Yes | 214 | 20.87 (1.98) | 217 | 21.43 (2.93) | 286 | 28.25 (2.47) |
No | 471 | 9.50 (0.67) | 336 | 7.19 (0.66) | 470 | 10.28 (0.90) |
28.74** | 23.22** | 34.79** | ||||
Parent Psychopathology | ||||||
Yes | 353 | 20.82 (1.57) | 295 | 17.26 (1.67) | 353 | 22.84 (1.76) |
No | 335 | 7.97 (0.68) | 261 | 6.44 (0.65) | 403 | 9.45 (0.90) |
56.43** | 36.49** | 40.17** | ||||
Any PTE exposure | ||||||
Yes | 593 | 16.07 (1.16) | 523 | 14.33 (1.34) | 681 | 18.91 (1.34) |
No | 182 | 6.23 (0.71) | 107 | 3.98 (0.72) | 146 | 5.43 (0.61) |
45.05** | 52.81** | 73.12** | ||||
Interpersonal trauma exposure | ||||||
Yes | 341 | 26.53 (2.31) | 333 | 25.37 (1.89) | 388 | 31.20 (2.83) |
No | 434 | 8.23 (0.70) | 297 | 6.08 (0.77) | 439 | 8.41 (0.75) |
44.31** | 86.21** | 33.19** | ||||
Accidental trauma exposure | ||||||
Yes | 306 | 18.02 (1.67) | 276 | 15.08 (2.06) | 355 | 19.80 (1.90) |
No | 469 | 9.70 (0.74) | 354 | 8.19 (0.85) | 472 | 10.95 (0.82) |
20.93** | 12.19* | 23.51** | ||||
Network/witnessing trauma exposure | ||||||
Yes | 412 | 16.79 (1.21) | 381 | 16.19 (1.54) | 491 | 20.99 (1.53) |
No | 363 | 9.26 (0.85) | 249 | 6.48 (0.85) | 336 | 8.90 (0.91) |
31.59** | 40.07** | 51.43** | ||||
Other/Non-disclosed trauma exposure | ||||||
Yes | 121 | 23.23 (2.90) | 115 | 22.31 (3.69) | 142 | 31.15 (3.12) |
No | 654 | 11.11 (0.75) | 515 | 9.08 (0.81) | 685 | 11.89 (0.89) |
15.93* | 13.58* | 29.60** |
Note: All analyses adjusted for complex survey design. CD = conduct disorder; ODD = oppositional defiant disorder; SE = standard error; SUD = substance use disorder.
Substance use disorders include alcohol abuse, alcohol dependence, drug abuse, drug dependence, and nicotine dependence.
p<.05
p<.0001
Mean age of exposure to any trauma was 9 years old and was similar for females and males (Table 2). Average AOO was relatively similar for males and females, with the exception of ODD, where males were diagnosed at a younger age than females on average. Of note, the mean age at the time of the interview was about 15 years, so averages reported here are lower than estimates from adult samples, due to ceiling effects.
Table 2.
Full Sample | Girls | Boys | |||||
---|---|---|---|---|---|---|---|
|
|||||||
n | Mean (SE) | n | Mean (SE) | n | Mean (SE) | F-Statistic (p-value) | |
Age of first PTE exposure | 3,725 | 9.21 (0.14) | 1,901 | 9.32 (0.19) | 1,824 | 9.12 (0.19) | F=0.60 |
Age of interpersonal PTE exposure | 1,253 | 10.40 (0.24) | 661 | 10.10 (0.25) | 592 | 10.70 (0.31) | F=3.91 |
Age of accidental PTE exposure | 1768 | 8.57 (0.17) | 788 | 8.56 (0.24) | 980 | 8.58 (0.23) | F=0.01 |
Age of network/witnessing PTE exposure | 2,453 | 11.36 (0.15) | 1,324 | 11.47 (0.17) | 1,129 | 11.23 (0.21) | F=1.17 |
Age of other/non-disclosed PTE exposure | 489 | 10.86 (0.38) | 297 | 11.22 (0.31) | 192 | 10.29 (0.83) | F=0.90 |
Age of ODD onset | 671 | 9.59 (3.62) | 320 | 10.56 (0.30) | 351 | 9.29 (0.32) | F =7.76* |
Age of CD onset | 630 | 10.76 (3.31) | 250 | 11.30 (0.27) | 380 | 10.67 (0.30) | F=1.92 |
Age of SUD onset | 827 | 14.33 (1.88) | 379 | 14.35 (0.12) | 448 | 14.29 (0.18) | F=0.47 |
Age at interview | 6,379 | 15.08 (1.46) | 3,276 | 15.23 (0.07) | 3,103 | 15.15 (0.08) | F=1.82 |
Note: All analyses adjusted for complex survey design. CD = conduct disorder; ODD = oppositional defiant disorder; SE = Standard error; SUD = substance use disorder.
p<.0001
Potentially traumatic events and externalizing disorders
Controlling for socio-demographic and parental covariates, exposure to any PTE was associated with higher risk for incident CD (HR=1.66, CI: 1.04–2.67) and SUD (HR=2.16, CI: 1.66–2.81), but not ODD (Table 3). When we examined trauma types separately, exposure to interpersonal violence was associated with higher risk for incident CD (HR=1.57, CI: 1.11–2.23) and SUD (HR=2.21, CI: 1.69–2.89) but not ODD. Exposure to accidental/nonintentional events (HR=1.29, CI: 1.02–1.64), network/witnessing events (HR=1.54, CI: 1.18–2.02), and other events (HR=1.68, CI: 1.25–2.27) were each associated with higher risk for developing SUD. Accidental, network/witnessing, and other trauma categories were not associated with ODD or CD onset.
Table 3.
Traumatic Events | ODD (n=618) | CD (n=341) | SUD (n=749) | |||
---|---|---|---|---|---|---|
HR (95% CI) | HR (95% CI) | HR (95% CI) | ||||
Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | |
|
||||||
Any PTE | 1.88 (1.36–2.59)* | 1.36 (0.94–1.97) | 2.50 (1.73–3.63)* | 1.66 (1.04–2.67)* | 2.86 (2.26–3.62)* | 2.16 (1.66–2.81)* |
Interpersonal Violence | 2.35 (1.65–3.35)* | 1.28 (0.92–1.78) | 2.59 (1.99–3.38)* | 1.57 (1.11–2.23)* | 2.91 (2.27–3.74)* | 2.21 (1.68–2.89)* |
Accidental PTE | 1.25 (0.93–1.68) | 1.06 (0.75–1.49) | 1.18 (0.83–1.68) | 0.89 (0.62–1.30) | 1.54 (1.28–1.87)* | 1.29 (1.02–1.64)* |
Network/Witnessing PTE | 0.91 (0.65–1.28) | 0.74 (0.52–1.06) | 1.26 (0.93–1.72) | 1.04 (0.73–1.49) | 1.77 (1.38–2.26)* | 1.54 (1.18–2.02)* |
Other/Non-disclosed PTE | 1.32 (0.91–1.90) | 0.86 (0.55–1.35) | 1.28 (0.78–2.10) | 0.76 (0.41–1.42) | 2.21 (1.70–2.89)* | 1.68 (1.25–2.27)* |
NOTE: Models: Adjusted hazard ratios (HR) from survival analysis models adjusted for age, sex, income, race, parents’ marital status, parent psychopathy, and parent substance misuse. All analyses adjusted for complex survey design. For all models, the reference group is participants who reported experiencing no trauma of that type prior to externalizing disorder onset. CD = conduct disorder; ODD = oppositional defiant disorder; SUD = substance use disorder.
p<.05
Sensitivity analyses evaluated whether associations remained when excluding adolescents with nicotine dependence from the SUD definition. Effect estimates were slightly lower, but associations remained statistically significant (Table S3, available online). We additionally determined whether associations persisted among adolescents with no lifetime diagnosis of ADHD. The pattern of associations between PTEs and risk for externalizing disorders was unchanged in this subsample (Table S4, available online).
We also tested for effect modification of the association between exposure to PTEs and onset of EDs by using multiplicative interaction terms between gender, race/ethnicity, and income level with PTE exposure. The only interaction to reach statistical significance was for gender and interpersonal violence predicting CD, whereby females (HR=2.49, CI: 1.50–4.14) were at higher risk than males (HR=1.04, CI: 0.68–1.59) following PTE exposure (p=.01).
Externalizing disorders and exposure to potentially traumatic events
We next examined whether EDs were associated with risk for exposure to PTEs (Table 4). ODD (HR=1.48, CI: 1.15–1.91) and CD (HR=1.45, CI: 1.12–1.87) were both associated with elevated risk for exposure to interpersonal violence. ODD (HR=1.69; CI: 1.06–2.70) and CD (HR=1.75; CI: 1.01–3.03) were also associated with higher risk for exposure to other/nondisclosed PTEs. ODD (HR=1.46; CI: 1.15–1.85) was associated with greater risk for exposure to network/witnessing events. CD and SUDs were associated with lower risk for exposure to accidental PTEs, network/witnessing events, and any PTE.
Table 4.
Externalizing Disorders | Any PTE | Interpersonal Violence PTE | Accidental PTE | Network/Witnessing PTE | Other/Non-Disclosed PTE | |||||
---|---|---|---|---|---|---|---|---|---|---|
HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | ||||||
Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | |
|
||||||||||
ODD | 1.33 (1.13–1.56)* | 1.01 (0.83–1.22) | 2.24 (1.79–2.81)* | 1.48 (1.15–1.91)* | 1.15 (0.91–1.44) | 0.98 (0.75–1.27) | 1.79 (1.42–2.25)* | 1.46 (1.15–1.85)* | 2.44 (1.66–3.60)* | 1.69 (1.06–2.70)* |
CD | 1.11 (0.94–1.31) | 0.76 (0.62–0.93)* | 2.07 (1.71–2.51)* | 1.45 (1.12–1.87)* | 0.84 (0.62–1.12) | 0.71 (0.53–0.95)* | 1.76 (1.32–2.35)* | 1.25 (0.96–1.65) | 2.21 (1.36–3.59)* | 1.75 (1.01–3.03)* |
SUD | 0.74 (0.62–0.89)* | 0.59 (0.48–0.73)* | 1.22 (0.87–1.72) | 0.94 (0.61–1.45) | 0.48 (0.34–0.67)* | 0.43 (0.31–0.60)* | 1.08 (0.82–1.42) | 0.87 (0.63–1.19) | 1.14 (0.68–1.93) | 1.11 (0.68–1.93) |
Note: Models: Adjusted hazard ratios (HR) from survival analysis results adjusted for age, sex, income, race, parents’ marital status, parent psychopathy, and parent substance misuse. All analyses adjusted for complex survey design. For all models, the reference group is participants who were not diagnosed with that disorder prior to experiencing that potentially traumatic event (PTE). CD = conduct disorder; ODD = oppositional defiant disorder; SUD = substance use disorder.
p<.05
Removing nicotine dependence from the SUD diagnosis did not change the pattern of results (Table S5, available online). Among adolescents without ADHD, results were unchanged (Table S6, available online), with the exception that CD was associated with increased risk for exposure to a network/witnessing PTE (HR=1.37, CI: 1.03–1.82). We found no evidence for effect modification by gender, race/ethnicity, or income on the associations between EDs and exposure to PTEs.
DISCUSSION
In a population representative sample of US adolescents, all types of traumatic experiences were associated with higher risk for SUD onset, whereas PTEs were unrelated to onset of ODD. Only interpersonal violence was associated with higher risk for CD onset, and this was only true for females. Conversely, ODD and CD were associated with higher risk for later exposure to interpersonal violence, other/nondisclosed events, and ODD was additionally associated with network/witnessing events. These associations persisted when controlling for the possible confounding effects of parental psychopathology and substance misuse, as well as lifetime ADHD among adolescents.
With these results, we provide evidence of both specificity and equifinality in the associations of childhood trauma exposure with externalizing psychopathology. Many prior studies have found no such evidence of specificity in the association between childhood trauma and psychopathology.38,39 The current results may differ for a number of reasons. First, most prior studies have looked at disorders among adults, where the time at risk for disorder is longer compared to adolescents. PTEs often co-occur within individuals and alter development in ways that could result in greater likelihood to develop different or comorbid psychiatric disorders over time. Second, many past studies have examined a limited range of either adversities or disorders by focusing, for example, on violence40,41 or family dysfunction.33 Such an approach may mask specificity in the associations with particular disorders. Third, prior epidemiological studies have focused on broad classes of psychiatric disorders, examining associations of PTEs and other adversities with mood, anxiety, behavior, and SUDs without examining specific disorders individually.33,42,43 We extend this work by documenting specificity in the associations of PTEs with EDs, such that PTEs have particularly strong associations with CD and SUDs.
Consistent with previous research, we show that interpersonal violence, which represents a significant environmental threat,44,45 is a particularly toxic form of early adversity associated with increased risk for the onset of SUDs and for CD among females. Interpersonal violence may increase risk for SUD and CD through a variety of mechanisms encompassing emotional, cognitive, social, and neurobiological domains. With regard to SUD, violence exposure is associated with difficulties with emotion regulation,46,47 which may increase risk for substance abuse either directly or indirectly if substances are used as a form of self-medication for coping with traumatic memories.48 Interpersonal violence may also diminish response inhibition and self-regulation, particularly in emotionally salient contexts,49 further increasing risk for substance use.
With regard to mechanisms relevant to the onset of CD, violence exposure influences emotional and neurobiological processes involved in threat detection and salience processing,47 and is associated with attention biases that facilitate the detection of anger,50 social-information processing biases that increase perceptions of hostility in others,51 heightened emotional responses to a wide range of stimuli that could signify threat,52,53 and difficulty discriminating between threat and safety cues.49 Each of these patterns of atypical threat detection has been linked to externalizing problems, most notably CD in the absence of callous-unemotional traits.49,51,54
Why these pathways would affect females who experienced interpersonal violence more than males is unclear. Past studies have found inconsistent results regarding effect modification by gender in the associations between violence exposure and EDs, and here we find differential effects by gender only in predicting CD following interpersonal violence. Future work should determine whether this is due to differences in the specific type or chronicity of violence experienced by females versus males (e.g. sexual versus physical abuse) or whether posttraumatic reactions to violence exposure differentiate trajectories to CD in girls versus boys.26 The inconsistency of findings across multiple populations and exposure types may indicate some specific pathways, risk factors, or subgroups that have yet to be identified.
In line with prior work,9,14,33 we found that all forms of trauma were associated with increased risk for SUDs. Our previous work in this sample documented that exposure to childhood trauma was associated with increased risk for lifetime use of marijuana, prescription drugs, other drugs, and polysubstance use among adolescents.11 We extend this work here, showing that exposure to multiple forms of trauma increases risk not only for experimenting with drugs in adolescence, but also for developing SUDs. These findings are particularly notable given the young age of this sample. The mean age of interview in this study was 15 years old, whereas the median age of onset of SUDs in the general population is 20 years old (interquartile range [IQR]: 18–27).55 Our results therefore highlight a particularly vulnerable and high-risk group of adolescents who develop early-onset SUDs following exposure to trauma.
The fact that we find particularly strong associations between PTEs and CD and SUDs, disorders that typically begin in adolescence, is notable. Adolescence is a developmental period that involves substantial plasticity in neural systems that underlie emotional processing, cognitive control, and social cognition.56–59 The dynamic changes that occur during this period may produce heightened vulnerability to PTEs and contribute to the high incidence of mental disorders during this period.3,60 Alternatively, adolescence may also present opportunities for adaptive reorganization of regulatory systems following early-life adversity, resulting in positive changes for adolescents who are living in supportive environments.61 More research is needed to determine whether adolescence is a period not only of heightened vulnerability to PTEs with regard to externalizing psychopathology, but also a period when interventions might be particularly effective at preventing or remediating the mental health consequences of PTEs.
We also provide evidence for a role of ODD and CD in increasing risk for exposure to interpersonal violence and other/nondisclosed PTEs. Previous research has shown that conduct problems may lead to delinquency, socializing with deviant peers, legal problems, and substance use problems,62 all of which may select adolescents into contexts where violence is likely to occur. This developmental cascade linking early conduct problems, adverse social contexts, and later violence exposure may exacerbate externalizing psychopathology and maintain trajectories of criminality.63
Diagnosis with SUD was associated with lower risk for exposure to accidental and network PTEs. Developmental timing factors likely explain this apparent protective effect of SUD, as the mean age of SUD onset in this sample (about 14 years old) was older than the mean age of all forms of trauma exposure. As such, the group of adolescents who have not yet experienced a traumatic event by the time of onset of SUD may be a relatively select sample.
Limitations include reliance on a cross-sectional survey, precluding causal inference about these associations. Although we used survival analysis to incorporate temporality into the reported associations, events are still retrospective self-reports, and therefore subject to recall bias. This bias is somewhat reduced, however, in younger participants with shorter intervals between event occurrence and reporting.64,65 Another possibility is differential under-reporting of trauma, though the prevalence of trauma exposure is consistent with US adult samples.8 Third, although we adjusted for possible confounding by parental psychopathology and substance use, we cannot rule out the possibility that these parental conditions mediate the association between exposure to trauma and EDs among adolescents. However, unadjusted and adjusted models differed very little. Longitudinal studies of entire families should be conducted to explore the interplay of these shared experiences and home environments.
These results highlight complex associations between trauma exposure and externalizing psychopathology during the important period of social and neurobiological development in adolescence. Interventions must take a structural approach to addressing these interrelated, reciprocal, and clustered exposures to adversity in order to address the social environmental contributions to externalizing problems and violence. Future research is needed to identify mechanisms for the association between trauma and EDs, to help better inform prevention and treatment efforts and target interventions during periods when they are likely to have the most meaningful effect on core developmental processes.
These results may inform clinical practice in a number of ways. First, among children exposed to trauma, early intervention could help prevent the development of EDs. Much of the focus of trauma-related practice is on PTSD, mood, and anxiety disorders. Strategies specifically targeting externalizing psychopathology (e.g., parent management training) might enhance the beneficial effects of trauma-related interventions on later conduct problems and substance abuse. Second, youths with EDs should be assessed for a trauma history, and trauma-informed treatment should be considered as a therapeutic option beyond typical disorder-focused approaches. Third, those in contact with youth exhibiting conduct problems, substance abuse, or EDs should recognize these as possible indicators for trauma, and particularly violence exposure, which may be ongoing. Fourth, youth with CD and ODD should be provided with interventions aimed explicitly at preventing future interpersonal violence.
Supplementary Material
Acknowledgments
Supported in part by National Institute of Health grants T32DA031099 (Carliner, PI: Hasin), AA021511 (Keyes), MH106482 (McLaughlin), MH103291 (McLaughlin), and an Early Career Research Fellowship from the Jacobs Foundation (McLaughlin). The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.
Footnotes
Dr. Keyes served as the statistical expert for this research.
Disclosure: Drs. Carliner, McLaughlin, Keyes, and Mr. Gary report no biomedical financial interests or potential conflicts of interest.
Supplemental material cited in this article is available online.
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Contributor Information
Dr. Hannah Carliner, Columbia University, New York. New York State Psychiatric Institute, New York.
Mr. Dahsan Gary, Columbia University, New York.
Katie A. McLaughlin, University of Washington, Seattle.
Dr. Katherine M. Keyes, Columbia University, New York.
References
- 1.Masten AS, Roisman GI, Long JD, et al. Developmental cascades: linking academic achievement and externalizing and internalizing symptoms over 20 years. Dev Psychol. 2005;41:733. doi: 10.1037/0012-1649.41.5.733. [DOI] [PubMed] [Google Scholar]
- 2.Happé F, Frith U. Theory of mind and social impairment in children with conduct disorder. Br J Dev Psychol. 1996;14:385–398. [Google Scholar]
- 3.Kim-Cohen J, Caspi A, Moffitt TE, Harrington H, Milne BJ, Poulton R. Prior juvenile diagnoses in adults with mental disorder: developmental follow-back of a prospective-longitudinal cohort. Arch Gen Psychiatry. 2003;60:709–717. doi: 10.1001/archpsyc.60.7.709. [DOI] [PubMed] [Google Scholar]
- 4.Moffitt TE, Caspi A, Harrington H, Milne BJ. Males on the life-course-persistent and adolescence-limited antisocial pathways: Follow-up at age 26 years. Dev Psychopathol. 2002;14:179–207. doi: 10.1017/s0954579402001104. [DOI] [PubMed] [Google Scholar]
- 5.Cuevas CA, Finkelhor D, Turner HA, Ormrod RK. Juvenile Delinquency and Victimization: A Theoretical Typology. J Interpers Viol. 2007;22:1581–1602. doi: 10.1177/0886260507306498. [DOI] [PubMed] [Google Scholar]
- 6.Welsh BC, Loeber R, Stevens BR, Stouthamer-Loeber M, Cohen MA, Farrington DP. Costs of Juvenile Crime in Urban Areas: A Longitudinal Perspective. Youth Violence Juv Justice. 2008;6:3–27. [Google Scholar]
- 7.Cohen MA, Piquero AR. New evidence on the monetary value of saving a high risk youth. J Quant Criminol. 2009;25:25–49. [Google Scholar]
- 8.McLaughlin KA, Koenen KC, Hill ED, et al. Trauma exposure and posttraumatic stress disorder in a national sample of adolescents. J Am Acad Child Adolesc Psychiatry. 2013;52:815–830. doi: 10.1016/j.jaac.2013.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kessler RC, Avenevoli S, McLaughlin KA, et al. Lifetime co-morbidity of DSM-IV disorders in the US National Comorbidity Survey Replication Adolescent Supplement (NCS-A) Psychol Med. 2012;42:1997–2010. doi: 10.1017/S0033291712000025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ford JD, Elhai JD, Connor DF, Frueh BC. Poly-victimization and risk of posttraumatic, depressive, and substance use disorders and involvement in delinquency in a national sample of adolescents. J Adolesc Health. 2010;46:545–552. doi: 10.1016/j.jadohealth.2009.11.212. [DOI] [PubMed] [Google Scholar]
- 11.Carliner H, Keyes KM, McLaughlin KA, Meyers JL, Dunn EC, Martins SS. Childhood Trauma and Illicit Drug Use in Adolescence: A Population-Based National Comorbidity Survey Replication-Adolescent Supplement Study. J Am Acad Child Adolesc Psychiatry. 2016;55:701–708. doi: 10.1016/j.jaac.2016.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dodge KA, Pettit GS. A biopsychosocial model of the development of chronic conduct problems in adolescence. Dev Psychol. 2003;39:349–371. doi: 10.1037//0012-1649.39.2.349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Moffitt TE, Caspi A. Childhood predictors differentiate life-course persistent and adolescence-limited antisocial pathways among males and females. Dev Psychopathol. 2001;13:355–375. doi: 10.1017/s0954579401002097. [DOI] [PubMed] [Google Scholar]
- 14.Dube SR, Felitti VJ, Dong M, Chapman DP, Giles WH, Anda RF. Childhood Abuse, Neglect, and Household Dysfunction and the Risk of Illicit Drug Use: The Adverse Childhood Experiences Study. Pediatrics. 2003;111:564–572. doi: 10.1542/peds.111.3.564. [DOI] [PubMed] [Google Scholar]
- 15.Dube SR, Miller JW, Brown DW, et al. Adverse childhood experiences and the association with ever using alcohol and initiating alcohol use during adolescence. J Adolesc Health. 2006;38:444.e1–10. doi: 10.1016/j.jadohealth.2005.06.006. [DOI] [PubMed] [Google Scholar]
- 16.Keyes KM, Eaton NR, Krueger RF, et al. Childhood maltreatment and the structure of common psychiatric disorders. Br J Psychiatry. 2012;200:107–115. doi: 10.1192/bjp.bp.111.093062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Vachon DD, Krueger RF, Rogosch FA, Cicchetti D. Assessment of the harmful psychiatric and behavioral effects of different forms of child maltreatment. JAMA Psychiatry. 2015;72:1135–1142. doi: 10.1001/jamapsychiatry.2015.1792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Widom CS, Schuck AM, White HR. An Examination of Pathways From Childhood Victimization to Violence: The Role of Early Aggression and Problematic Alcohol Use. Violence and Victims. 2006;21:675–690. [PubMed] [Google Scholar]
- 19.Ford JD, Gagnon K, Connor DF, Pearson G. History of interpersonal violence, abuse, and nonvictimization trauma and severity of psychiatric symptoms among children in outpatient psychiatric treatment. J Interpers Violence. 2011;26:3316–3337. doi: 10.1177/0886260510393009. [DOI] [PubMed] [Google Scholar]
- 20.Herrenkohl TI, Kosterman R, Mason WA, Hawkins JD, McCarty CA, McCauley E. Effects of childhood conduct problems and family adversity on health, health behaviors, and service use in early adulthood: Tests of developmental pathways involving adolescent risk taking and depression. Dev Psychopathol. 2010;22:655–665. doi: 10.1017/S0954579410000349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Fairchild G, Goozen SH, Calder AJ, Goodyer IM. Research review: evaluating and reformulating the developmental taxonomic theory of antisocial behaviour. J Child Psychol Psychiatry. 2013;54:924–940. doi: 10.1111/jcpp.12102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Breslau N, Kessler RC, Chilcoat HD, Schultz LR, Davis GC, Andreski P. Trauma and posttraumatic stress disorder in the community: the 1996 Detroit Area Survey of Trauma. Arch Gen Psychiatry. 1998;55:626–632. doi: 10.1001/archpsyc.55.7.626. [DOI] [PubMed] [Google Scholar]
- 23.Widom CS. Childhood victimization and adolescent problem behaviors. Mahwah, NJ: Lawrence Erlbaum Associates, Inc; 1994. [Google Scholar]
- 24.Merikangas KR, Stolar M, Stevens DE, et al. Familial transmission of substance use disorders. Arch Gen Psychiatry. 1998;55:973–979. doi: 10.1001/archpsyc.55.11.973. [DOI] [PubMed] [Google Scholar]
- 25.Thornberry TP, Freeman-Gallant A, Lizotte AJ, Krohn MD, Smith CA. Linked lives: the intergenerational transmission of antisocial behavior. J Abnorm Child Psychol. 2003;31:171–184. doi: 10.1023/a:1022574208366. [DOI] [PubMed] [Google Scholar]
- 26.Gershon A, Minor K, Hayward C. Gender, victimization, and psychiatric outcomes. Psychol Med. 2008;38:1377–1391. doi: 10.1017/S0033291708003000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gunther N, Drukker M, Feron F, Van Os J. No ecological effect modification of the association between negative life experiences and later psychopathology in adolescence: A longitudinal community study in adolescents. European Psychiatry. 2007;22:296–304. doi: 10.1016/j.eurpsy.2007.03.011. [DOI] [PubMed] [Google Scholar]
- 28.Björkenstam E, Burström B, Vinnerljung B, Kosidou K. Childhood adversity and psychiatric disorder in young adulthood: An analysis of 107,704 Swedes. J Psychiatr Res. 2016;77:67–75. doi: 10.1016/j.jpsychires.2016.02.018. [DOI] [PubMed] [Google Scholar]
- 29.Merikangas KR, Avenevoli S, Costello EJ, Koretz D, Kessler RC. National Comorbidity Survey Replication Adolescent Supplement (NCS-A): I. Background and measures. J Am Acad Child Adolesc Psychiatry. 2009;48:367–369. doi: 10.1097/CHI.0b013e31819996f1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kessler RC, Avenevoli S, Costello EJ, et al. Design and field procedures in the US National Comorbidity Survey Replication Adolescent Supplement (NCS-A) Int J Methods Psychiatr Res. 2009;18:69–83. doi: 10.1002/mpr.279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kessler RC, Berglund P, Chiu WT, et al. The US National Comorbidity Survey Replication (NCS-R): design and field procedures. Int J Methods Psychiatr Res. 2004;13:69–92. doi: 10.1002/mpr.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kessler RC, Ustun TB. The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) Int J Methods Psychiatr Res. 2004;13:93–121. doi: 10.1002/mpr.168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Green JG, McLaughlin KA, Berglund PA, et al. Childhood adversities and adult psychiatric disorders in the national comorbidity survey replication I: associations with first onset of DSM-IV disorders. Arch Gen Psychiatry. 2010;67:113–123. doi: 10.1001/archgenpsychiatry.2009.186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Cantwell DP, Lewinsohn PM, Rohde P, Seeley JR. Correspondence between adolescent report and parent report of psychiatric diagnostic data. J Am Acad Child Adolesc Psychiatry. 1997;36:610–619. doi: 10.1097/00004583-199705000-00011. [DOI] [PubMed] [Google Scholar]
- 35.Grills AE, Ollendick TH. Issues in parent-child agreement: the case of structured diagnostic interviews. Clin Child Fam Psychol Rev. 2002;5:57–83. doi: 10.1023/a:1014573708569. [DOI] [PubMed] [Google Scholar]
- 36.Knäuper B, Cannell CF, Schwarz N, Bruce ML, Kessler RC. Improving accuracy of major depression age-of-onset reports in the US National Comorbidity Survey. Int J Methods Psychiatr Res. 1999;8:39–48. [Google Scholar]
- 37.Merikangas KR, He J-p, Burstein M, et al. Lifetime prevalence of mental disorders in U.S. adolescents: Results from the National Comorbidity Survey Replication? Adolescent Supplement (NCS-A) J Am Acad Child Adolesc Psychiatry. 2010;49:980–990. doi: 10.1016/j.jaac.2010.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Felitti VJ, Anda RF, Nordenberg D, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study. Am J Prev Med. 1998;14:245–258. doi: 10.1016/s0749-3797(98)00017-8. [DOI] [PubMed] [Google Scholar]
- 39.Hussey JM, Chang JJ, Kotch JB. Child maltreatment in the United States: prevalence, risk factors, and adolescent health consequences. Pediatrics. 2006;118:933–942. doi: 10.1542/peds.2005-2452. [DOI] [PubMed] [Google Scholar]
- 40.Duke NN, Pettingell SL, McMorris BJ, Borowsky IW. Adolescent violence perpetration: associations with multiple types of adverse childhood experiences. Pediatrics. 2010;125:e778–786. doi: 10.1542/peds.2009-0597. [DOI] [PubMed] [Google Scholar]
- 41.McMahon SD, Grant KE, Compas BE, Thurm AE, Ey S. Stress and psychopathology in children and adolescents: is there evidence of specificity? J Child Psychol Psychiatry. 2003;44:107–133. doi: 10.1111/1469-7610.00105. [DOI] [PubMed] [Google Scholar]
- 42.Kessler RC, McLaughlin KA, Green JG, et al. Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. Br J Psychiatry. 2010;197:378–385. doi: 10.1192/bjp.bp.110.080499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.McLaughlin KA, Green JG, Gruber MJ, Sampson NA, Zaslavsky AM, Kessler RC. Childhood adversities and first onset of psychiatric disorders in a national sample of US adolescents. Arch Gen Psychiatry. 2012;69:1151–1160. doi: 10.1001/archgenpsychiatry.2011.2277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.McLaughlin KA, Sheridan MA, Lambert HK. Childhood adversity and neural development: deprivation and threat as distinct dimensions of early experience. Neurosci Biobehav Rev. 2014;47:578–591. doi: 10.1016/j.neubiorev.2014.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Sheridan MA, McLaughlin KA. Dimensions of early experience and neural development: deprivation and threat. Trends Cogn Sci. 2014;18:580–585. doi: 10.1016/j.tics.2014.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Andersen SL, Teicher MH. Desperately driven and no brakes: Developmental stress exposure and subsequent risk for substance abuse. Neurosci Biobehav Rev. 2009;33:516–24. doi: 10.1016/j.neubiorev.2008.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.McLaughlin KA, Lambert HK. Child trauma exposure and psychopathology: mechanisms of risk and resilience. Current Opinion in Psychology. 2017;14:29–34. doi: 10.1016/j.copsyc.2016.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Holl J, Wolff S, Schumacher M, et al. Substance use to regulate intense posttraumatic shame in individuals with childhood abuse and neglect. Dev Psychopathol. 2016:1–13. doi: 10.1017/S0954579416000432. epub ahead of print. [DOI] [PubMed] [Google Scholar]
- 49.Lambert HK, King KM, Monahan KC, McLaughlin KA. Differential associations of threat and deprivation with emotion regulation and cognitive control in adolescence. Dev Psychopathol. 2016:1–12. doi: 10.1017/S0954579416000584. epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Pollak SD, Tolley-Schell SA. Selective attention to facial emotion in physically abused children. J Abnorm Psychol. 2003;112:323–338. doi: 10.1037/0021-843x.112.3.323. [DOI] [PubMed] [Google Scholar]
- 51.Dodge KA, Pettit GS, Bates JE, Valente E. Social information-processing patterns partially mediate the effect of early physical abuse on later conduct problems. J Abnorm Psychol. 1995;104:632–643. doi: 10.1037//0021-843x.104.4.632. [DOI] [PubMed] [Google Scholar]
- 52.McLaughlin KA, Peverill M, Gold AL, Alves S, Sheridan MA. Child Maltreatment and Neural Systems Underlying Emotion Regulation. J Am Acad Child Adolesc Psychiatry. 2015;54:753–762. doi: 10.1016/j.jaac.2015.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.McCrory EJ, De Brito SA, Sebastian CL, et al. Heightened neural reactivity to threat in child victims of family violence. Current biology : CB. 2011;21:R947–948. doi: 10.1016/j.cub.2011.10.015. [DOI] [PubMed] [Google Scholar]
- 54.Viding E, Sebastian CL, Dadds MR, et al. Amygdala response to preattentive masked fear in children with conduct problems: the role of callous-unemotional traits. Am J Psychiatry. 2012;169:1109–1116. doi: 10.1176/appi.ajp.2012.12020191. [DOI] [PubMed] [Google Scholar]
- 55.Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602. doi: 10.1001/archpsyc.62.6.593. [DOI] [PubMed] [Google Scholar]
- 56.Pattwell SS, Duhoux S, Hartley CA, et al. Altered fear learning across development in both mouse and human. Proc Natl Acad Sci U S A. 2012;109:16318–16323. doi: 10.1073/pnas.1206834109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Spear LP. Heightened stress responsivity and emotional reactivity during pubertal maturation: Implications for psychopathology. Dev Psychopathol. 2009;21:87–97. doi: 10.1017/S0954579409000066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Blakemore S-J. Imaging brain development: the adolescent brain. Neuroimage. 2012;61:397–406. doi: 10.1016/j.neuroimage.2011.11.080. [DOI] [PubMed] [Google Scholar]
- 59.Gogtay N, Giedd JN, Lusk L, et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc Natl Acad Sci U S A. 2004;101:8174–9. doi: 10.1073/pnas.0402680101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602. doi: 10.1001/archpsyc.62.6.593. [DOI] [PubMed] [Google Scholar]
- 61.Quevedo K, Johnson AE, Loman ML, LaFavor TL, Gunnar M. The confluence of adverse early experience and puberty on the cortisol awakening response. Int J Behav Dev. 2012;36:19–28. doi: 10.1177/0165025411406860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Loeber R, Burke JD, Lahey BB, Winters A, Zera M. Oppositional defiant and conduct disorder: a review of the past 10 years, part I. J Am Acad Child Adolesc Psychiatry. 2000;39:1468–1484. doi: 10.1097/00004583-200012000-00007. [DOI] [PubMed] [Google Scholar]
- 63.Odgers CL, Moffitt TE, Broadbent JM, et al. Female and male antisocial trajectories: from childhood origins to adult outcomes. Dev Psychopathol. 2008;20:673–716. doi: 10.1017/S0954579408000333. [DOI] [PubMed] [Google Scholar]
- 64.Della Femina D, Yeager CA, Lewis DO. Child abuse: Adolescent records vs. adult recall. Child abuse & neglect. 1990;14:227–231. doi: 10.1016/0145-2134(90)90033-p. [DOI] [PubMed] [Google Scholar]
- 65.Parra GR, O’Neill SE, Sher KJ. Reliability of self-reported age of substance involvement onset. Psychol Addict Behav. 2003;17:211–218. doi: 10.1037/0893-164X.17.3.211. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.