The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×
This article has been corrected | View Correction

Abstract

Objective:

This randomized controlled trial tested the efficacy of early intervention to prevent adult psychopathology and improve well-being in early-starting conduct-problem children.

Method:

Kindergarteners (N=9,594) in three cohorts (1991–1993) at 55 schools in four communities were screened for conduct problems, yielding 979 early starters. A total of 891 (91%) consented (51% African American, 47% European American; 69% boys). Children were randomly assigned by school cluster to a 10-year intervention or control. The intervention goal was to develop social competencies in children that would carry them throughout life, through social skills training, parent behavior-management training with home visiting, peer coaching, reading tutoring, and classroom social-emotional curricula. Manualization and supervision ensured program fidelity. Ninety-eight percent participated during grade 1, and 80% continued through grade 10. At age 25, arrest records were reviewed (N=817, 92%), and condition-blinded adults psychiatrically interviewed participants (N=702; 81% of living participants) and a peer (N=535) knowledgeable about the participant.

Results:

Intent-to-treat logistic regression analyses indicated that 69% of participants in the control arm displayed at least one externalizing, internalizing, or substance abuse psychiatric problem (based on self- or peer interview) at age 25, in contrast with 59% of those assigned to intervention (odds ratio=0.59, CI=0.43–0.81; number needed to treat=8). This pattern also held for self-interviews, peer interviews, scores using an “and” rule for self- and peer reports, and separate tests for externalizing problems, internalizing problems, and substance abuse problems, as well as for each of three cohorts, four sites, male participants, female participants, African Americans, European Americans, moderate-risk, and high-risk subgroups. Intervention participants also received lower severity-weighted violent (standardized estimate=−0.37) and drug (standardized estimate=−0.43) crime conviction scores, lower risky sexual behavior scores (standardized estimate=−0.24), and higher well-being scores (standardized estimate=0.19).

Conclusions:

This study provides evidence for the efficacy of early intervention in preventing adult psychopathology among high-risk early-starting conduct-problem children.

A well-replicated finding in developmental psychopathology is that early-starting, chronic conduct-problem young children are at high risk to grow into antisocial adults (1), variously labeled as suffering from externalizing psychopathology (2), chronic criminals (3), having antisocial personality disorder (4), “psychopaths” (5), or “super-predators” (6). They are also at risk for internalizing psychopathology, substance abuse, risky sexual behavior (7), harsh parenting of offspring (7), and poor health and well-being (1, 3, 4). These individuals cost society between $2.6 and $5.3 million in each of the following areas: incarceration, adjudication, treatment, and victims’ costs (8). Although intervention evaluations document short-term positive effects on reducing children’s antisocial behavior, no intervention program, to our knowledge, has ever reported effects for kindergarten-age children with early conduct problems (“early starters”) that last into adulthood, leading some to doubt whether prevention is possible (9) and to advocate for incarceration (10) and defunding of prevention programs (11). In contrast, we hypothesized that, and examined whether, adult maladjustment outcomes can be prevented with concerted intervention, in the largest National Institutes of Health-funded randomized controlled trial to date to prevent adult psychopathology and crime and improve well-being by intervening among 6-year-old early-starter children.

Developmental science models (7, 12) identify factors in home and school environments that deter antisocial development. Technologies have been developed to improve single components associated with antisocial development outcome, including consistent and nonharsh parenting (13), social-cognitive skills (14), positive peer relationships (15), academic skills (16), and a nondeviant-peer social ecology (17). These single-component interventions have shown short-term efficacy in reducing aggressive behaviors; however, effects typically fade, possibly because the syndrome is multifactorially determined and cascades across development if all facets are not addressed (18). Because these interventions aim to build general skills that children can carry with them throughout life, they have also been employed to prevent substance abuse, internalizing, crime, and risky sexual behavior outcomes and improve general well-being (7, 9, 15, 17), all of which are correlated with externalizing problems.

The Fast Track prevention program began in 1991 to test the hypothesis that comprehensive intervention that addresses multiple components of antisocial development and is implemented continuously with early starters and their families across 10 years of childhood (1st grade through 10th grade) will have an enduring impact on adult psychopathology. The program blended parent behavior-management training, child social-cognitive skills training, peer coaching and mentoring, academic skills tutoring, and classroom social-ecology change, at a cost of $58,000 per child over 10 years. Program impact was tested in a randomized controlled trial that included 12 “mini-replications” in four geographic sites across three cohorts of children screened at age 5 to be early starters in conduct problems.

Intent-to-treat analyses to date indicate that the intervention was successful in promoting its proximal goals of improving parenting behavior, social-cognitive skills, peer relationships, academic skills, and classroom social ecology (1921). It reduced 1) aggressive behavior throughout elementary school as reported by parents, teachers, peers, and blinded observers (1921), 2) self-reported delinquent behaviors in high school (22), and 3) juvenile (23) and adult (unpublished data, Conduct Problems Prevention Research Group, 2012) arrests as indicated by administrative records through age 21. Impact at grade 8 was negligible (24), and some outcomes yielded impact only for subgroups (22).

The present study assessed outcomes at age 25—a full 8 years after the program had ended—through administrative record review and psychiatric interviews with participants and peer reporters who provided independent perspectives unbiased by program participation. We focused on eight domains that index adult functioning: externalizing psychopathology, internalizing psychopathology, substance abuse, criminal conviction, risky sexual behavior, aggression toward partners and offspring, education/employment, and general well-being. We hypothesized that, compared with control subjects, early starters who had been randomly assigned to intervention at age 6 would display a lower prevalence rate of problems in any of the three psychopathology domains (externalizing, substance abuse, and internalizing problems), fewer criminal convictions, less risky sexual behavior, less aggressive romantic and offspring relationships, better education and employment, and higher general well-being scores.

We also tested intervention efficacy in subgroups of early starters. Some models suggest that psychosocial intervention might be efficacious with moderately high-risk children but will not penetrate the highest-risk subgroup, which, presumably, is impervious to external control. Contrary to that notion, in the Fast Track trial thus far, intervention effects have been stronger among the highest-risk group than the moderate-risk group at ages 9, 12, 15, and 18 (22, 25). However, by age 21, adult arrest records revealed similar positive impact for both the highest- and moderate-risk groups. Finally, we hypothesized robust intervention efficacy across gender, ethnicity, and urbanicity groups.

Method

Participants

Children were selected from each of three kindergarten cohorts (from 1991–1993) at each of four geographic sites: Durham, N.C.; Nashville, Tenn.; rural Pennsylvania; and Seattle. Elementary schools (N=55) in neighborhoods with high rates of crime and economic disadvantage were divided into paired sets (one to three sets per site) matched for demographic characteristics, and one set was randomly assigned to intervention and one to a control.

A multiple-gating screening procedure (26) that combined teacher and parent ratings of aggressive, disruptive behavior was applied to all 9,594 kindergarteners (the CONSORT diagram is presented in the data supplement accompanying the online version of this article). The first gate employed teacher-reported classroom conduct problems, using the Teacher Observation of Child Adjustment-Revised Authority Acceptance score (27). Children scoring in the highest 40% within cohort and site were solicited for the second gate of screening: parent-rated home behavior problems, using a 22-item instrument based on the Child Behavior Checklist (28). Teacher and parent scores were standardized within site and summed to yield a severity-of-risk screen score.

Children were selected based on this risk score, moving from the highest down until desired sample sizes were reached within sites, cohorts, and conditions. A total of 979 children (10% of the total) were solicited to yield a sample of 891 participating children (91% consent; intervention group, N=445; control group, N=446). At the time of selection, the participant mean age was 6.58 years (SD=0.48). Ethnicity varied (African American, 51%; European American, 47%; other ethnicity, 2%), and 69% were boys. The mean externalizing problem score for the teacher-reported Child Behavior Checklist (29) was 1.6 standard deviations above the national mean. Fifty-eight percent of children had single parents; 29% of parents had not completed high school; and 35% of families were in the lowest socioeconomic class.

Written, informed consent from parents and oral assent from children were obtained. Parents were paid for completing interviews, and intervention group parents were paid for group attendance. All procedures were approved by the institutional review boards of participating universities.

To improve the precision of model estimates, 22 variables were measured prior to intervention and included as covariates in outcome analyses (plus cohort and site). These variables are presented in Table 1 and described elsewhere (www.fasttrackproject.org). Previous analyses confirm no robust statistical differences in these scores between intervention and control groups (19, 21, 22).

TABLE 1. Pre-Intervention Group Means (Standard Deviations) for Interview Participants and Nonparticipants at Age 25 by Intervention Status

VariableGroup
All Interview ParticipantsAll NonparticipantsIntervention ParticipantsControl Participants
MeanSDMeanSDMeanSDMeanSD
Male indicator0.67a0.780.690.65
African American indicator0.500.540.520.48
Initial screen score2.051.012.010.962.051.002.061.01
Depression score (measured by the Feeling Scale)16.3710.1016.1310.3215.759.6316.9910.52
Percent hostile attributions (measured by the Home Interview with Child)0.660.250.690.250.670.250.660.25
Aggressive behavior score (measured by the Home Interview with Child)22.388.2522.248.0222.628.4622.158.04
Appropriateness score (measured by the Interview on Emotional Experience)3.550.783.610.673.590.713.510.84
Family satisfaction (measured by the Interview on Parental Experience)2.140.722.150.732.110.762.170.68
Friendship satisfaction (measured by the Interview on Parental Experience)2.350.602.270.632.310.642.390.56
Physical punishment mean score (measured by the Life Changes survey)0.21a0.220.250.260.200.210.230.22
Kindergarten stress scale (measured by the Life Changes survey)5.334.165.063.905.364.345.313.98
Verbal punishment mean score (measured by the Life Changes survey)0.260.320.260.300.240.330.270.32
Socioeconomic status24.5612.7023.6912.6324.9012.9124.2312.49
Oppositional aggressive score (measured by parent daily report)0.270.170.260.170.260.170.270.17
Mean (warmth, harsh, and appropriate discipline; measured by the Parent Questionnaire)2.000.272.000.292.010.271.990.28
Total score (measured by the Social Competence Parent survey)2.060.592.000.592.11b0.582.010.59
Letter and word identification (measured by Woodcock-Johnson tests)12.744.4112.164.9613.09b4.7812.393.97
Total number correct (measured by the Emotion Recognition Questionnaire)10.762.8210.522.7610.812.8310.712.81
Warmth (measured by the Interactive Rating Scale)3.570.783.590.813.65b0.793.500.78
Mean percent of competent responses (measured by the Social Problem Solving Scale)0.620.220.630.220.610.220.630.22
Neighborhood Questionnaire total score–0.030.60–0.070.59–0.040.62–0.020.58
Average standard Wechsler Intelligence Scale for Children score–0.080.80–0.050.74–0.070.81–0.100.79

aData represent significant difference (p<0.05) between age-25 interview participants and nonparticipants.

bData represent significant difference (p<0.05) between intervention and control age-25 interviewees.

TABLE 1. Pre-Intervention Group Means (Standard Deviations) for Interview Participants and Nonparticipants at Age 25 by Intervention Status

Enlarge table

At the age-25 follow-up, participants were solicited for interview and asked to nominate a peer who knew them well and could complete a confidential interview about them. A total of 702 participants (81% of those living) and 535 peers (for 76% of participants; net, 62% of the total) provided data. Participation did not differ significantly by condition (control group, N=352 [78.9%]; intervention group, N=350 [78.7%]). As indicated in Table 1, two of the 22 preintervention variables differed significantly (p<0.05) between interviewed and noninterviewed participants. One variable significantly differentiated participants with a peer reporter from those without a peer reporter. Among interviewed participants, the intervention and control groups differed significantly on three variables. Among participants with peer reporters, the intervention and control groups differed significantly on one variable. Given that there were only seven significant differences among 88 tests, we concluded that attrition did not systematically alter the representativeness of the samples.

Intervention Procedures

Elementary school phase (grades 1–5).

During grades 1–5, intervention families were offered group intervention during a 2-hour “enrichment program” that included children’s social skill “friendship groups” (30), parent training groups (31), guided parent-child interaction sessions (31), and paraprofessional tutoring in reading (30). Tutors provided three additional 30-minute sessions per week in reading and peer pairing to improve friendships with classmates. Teacher consultation and the teacher-implemented social-cognitive skill development Fast Track PATHS (Promoting Alternative Thinking Strategies) curriculum (32) were implemented universally in grade 1–5 classrooms in intervention schools (except in Durham, N.C., where it was prohibited) to promote social-emotional competence. Enrichment programs were held weekly during grade 1, biweekly during grade 2, and monthly during grades 3–5. In addition, home visiting (unpublished data, Dodge KA, 1993) helped parents generalize their skill learning and address individual needs. After grade 1, criterion-referenced assessments adjusted the prescribed dosage to match need.

Middle and early high school phase (grades 6–10).

During grades 5 and 6, children received a middle school transition program, and there were four parent-youth groups on topics of adolescent development; alcohol, tobacco, and drugs; and decision making. In grades 7 and 8, eight youth forums (33) addressed vocational opportunities, life skills, and summer employment opportunities. In grades 7–10, individualized interventions (33) addressed parent monitoring, peer affiliation, academic achievement, and social cognition. All children received Oyserman’s School-to-Jobs possible-selves intervention (33) aimed at examining emerging identity.

Intervention participation.

Ninety-six percent of parents and 98% of children attended at least one group session during grade 1. Of these families, 79% of parents and 90% of children attended at least 50% of prescribed group sessions (34). Participation decreased modestly across years, primarily because of residential moves. In grades 7–10, intervention continued with at least 80% of all children.

High intervention fidelity was ensured by manualization, regular cross-site training, and weekly clinical supervision. Outside interventions were neither encouraged nor discouraged.

The full intervention protocol is available online (fasttrackproject.org).

Age-25 Administrative Records

Court records were collected locally and supplemented using a national database that included all arrests, adjudications, diversions, and magistrate appearances, based on full name, birthdate, and social security number (N=817, 92%). We limited offenses to convictions and diversions. Following previous coding systems (23, 35), we created severity-weighted indices, multiplying frequencies by severity across all lifetime convictions. For violent crimes, severity levels range from 1 to 3 (severity 3 includes aggravated/armed robbery, murder, rape, kidnapping, sex offenses, and first-degree assault; severity 2 includes robbery and first-degree burglary; and severity 1 includes DUI and carrying a concealed weapon). Severity levels for substance crimes range from 1 to 2 (severity 2 includes manufacturing and possession with intent to sell; severity 1 includes possession). Severity levels for property/public order crimes range from 1 to 3.

Age-25 Interviews

Condition-blinded adults were trained to interview participants in person (with telephone backup). Each participant was invited to nominate a peer for an independent interview about him- or herself, conducted in person in a private session. Participants were paid $100 for the interview and $25 for nominating a peer, and peers were paid $50.

The Adult Self-Report (36) is a 132-item instrument of psychiatric symptoms with response options of “not true,” “somewhat or sometimes true,” and “often true.” The instrument author’s aggregate externalizing t score and internalizing t score (based on national norms within gender; mean score=50 [SD=10]) were computed. Using criteria recommended by an international panel of judges that were consistent with DSM-IV criteria (4), indicators (0=no, 1=yes) were computed for antisocial personality, attention deficit hyperactivity disorder (ADHD), avoidant personality, somatic problems, anxiety, and depression disorders. Two measures of well-being were computed: personal strength from the instrument author’s scoring algorithms and a new 16-item score capturing happiness (alpha=0.85).

The Adult Behavior Checklist–Friend (36), a 132-item peer version of the Adult Self-Report, was administered to the peer respondent, yielding the same scores.

The Tobacco, Alcohol, and Drugs survey–version 3, is a 57-item open-ended and forced-choice instrument based on measures from the National Longitudinal Study of Adolescent Health (37) to assess frequency and problem level for tobacco, alcohol, and illegal drug use. We created three dichotomous indicators: 1) binge drinking problem (defined as five or more drinks on one or more occasion in the last month and five or more drinks on 12 or more occasions in the last year); 2) heavy marijuana use (defined as 27 or more days of use in the past month); and 3) serious substance use (defined as use of cocaine, crack, inhalants, heroin, LSD, phencyclidine, ecstasy, mushrooms, speed, or other pills not prescribed by a physician in the past month). An alcohol and drug module, adapted from the National Institute of Mental Health Diagnostic Interview Schedule (38), was administered. DSM-IV diagnostic criteria for alcohol abuse were applied to create a diagnostic indicator. We also created an any substance use problem indicator, scored 1 if any of the four substance use problems were met, or 0 otherwise. The Tobacco, Alcohol, and Drugs survey (Friend) and Alcohol and Drug Module (Friend) are identical peer-report instruments, yielding the same scores.

We created an any externalizing, internalizing, or substance use problem indicator, scored 1 if criteria for any of the following problems were present, or 0 otherwise: antisocial personality, ADHD, avoidant personality, somatic problems, anxiety, depression, alcohol abuse, binge drinking problem, heavy marijuana use, or serious substance use.

The 36-item Short-Form Health Survey (39) was administered to participants and peers. A general health index averaged four items capturing overall health status, presence of chronic conditions, magnitude of bodily pain, and presence of physical health issues that infringed upon work. For self- and peer-reported data, we constructed an overall well-being score by averaging across the standardized general health index, personal strength, and happiness scores.

Two scores (0=no, 1=yes) were created from the 8-item Education Information and the 46-item Employment History measures from the National Longitudinal Surveys (40) to ascertain whether the respondent graduated from high school or received a GED and was currently employed full-time or enrolled in higher education.

Respondents completed the 37-item Overview of Sexual Experiences (41). The number of lifetime partners item captured risky sexual behavior over the respondent’s lifetime (categories ranged from 0 to 7 capturing 0, 1–2, 3–5, 6–10, 11–15, 16–20, 21–50, and 50 or more partners). For risky sexual behavior in the past 12 months, the number of partners in the last year was multiplied by the sum of two scales: new-partner condom nonuse and regular-partner condom nonuse. New-partner condom nonuse ranged from 0 to 5 (no new partner, always use condom, most times use condom, about half the time, sometimes nonuse, and never use, respectively); condom nonuse with the respondent’s regular partner ranged from 1 to 5 (never nonuse, most times use condom, about half the time, sometimes nonuse, and never use, respectively).

The 47-item General Violence Questionnaire (42) measured violence between the respondent and his or her romantic partners. The violent acts against romantic partners item summed the number of times in the past 12 months (coded 0, 1, 2, or 3 [indicating three or more times]) the respondent did the following to any romantic partner: threatened with a knife or gun; pushed, shoved, grabbed, slapped, or threw something; punched, hit, kicked, bit, or slammed against a wall; beat up or choked, strangled, burned, or scalded on purpose; or used a knife or gun. Peers completed the same instrument.

The 24-item parenting measure was completed only for participants with offspring and included items from the Being a Parent Scale and Conflict Tactics Scales (43), completed for the oldest child. Spanking was coded as 1=never, 2=1–3 times, 3=monthly, 4=weekly, and 5=most days. Coercive parenting was averaged across the following five items, each coded as above: threatened; yelled, insulted, or swore at; hit or tried to hit with something; pushed, grabbed, or slapped; and beat up. Parenting efficacy was averaged across six items (1=strongly disagree to 7=strongly agree) capturing the respondent’s belief that he or she possessed the skills to be a good parent. Parenting satisfaction was averaged across six reverse-coded items (1=strongly agree to 7=strongly disagree) capturing the respondent’s belief that being a parent is fulfilling. Peers received an identical version.

Statistical Model and Treatment of Missing Data

For each indicator, a combined score across self- and peer-interviewees equaled 1 if either the respondent or the peer reported that the problem was present, or 0 otherwise. For each continuous scale, we averaged across the self- and peer-reported scales. If the peer-reported scale was not collected or missing, the self-reported scale was used. If more than 20% of the individual scores were missing for any variable, the score was declared missing.

We estimated the impact of intervention on each outcome using full information maximum likelihood to account for data missing at random, with standard linear regression models for continuous outcomes, logit models for dichotomous outcomes, and negative binomial models for count and crime variables. We clustered standard errors by kindergarten school to account for sampling at the school level. Analyses were based on an intent-to-treat design that included all children without regard to intervention participation. We controlled for cohort, site, and 22 preintervention covariates and tested for moderation by gender, race, cohort, site, and initial screen score. For continuous outcomes, we report standardized coefficients indicating the standard deviation change in the outcome associated with assignment to intervention. We report odds ratios and the number needed to treat (44) for dichotomous outcomes and the percentage change in expected counts for count outcomes (45).

Power analyses indicated sufficient power (0.80) to detect group differences with an odds ratio ≤0.65, based on a two-tailed test (p<0.05, N=729), and a control group rate of 0.69.

Results

Intervention and control prevalence rates (or group means and standard deviations) for all outcomes are presented in Table 2, with model findings for intervention effects summarized in Table 3. All moderation test results are reported in Table 4 but described here only when effects reversed direction across groups.

TABLE 2. Group Outcome Means (Standard Deviations) by Condition

VariableIntervention ParticipantsControl Participants
NMean or ProportionSDNMean or ProportionSD
Any externalizing, internalizing, or substance use problem3620.593560.69
Externalizing t score, self- or peer-reported average36256.389.3535957.619.50
 Antisocial personality DSM-IV clinical range3620.173580.24
 Attention deficit hyperactivity disorder problems DSM-IV clinical range3620.103590.14
Internalizing t score, self- or peer-reported average36255.8610.9435957.9510.80
 Avoidant personality DSM-IV clinical range3620.093590.11
 Somatic DSM-IV clinical range3620.143590.20
 Anxiety DSM-IV clinical range3620.103590.12
 Depression DSM-IV clinical range3620.143590.18
Any problematic substance use, self- or peer-reported3260.453180.56
 Alcohol abuse3370.313260.36
 Binge drinking problem3540.253510.30
 Heavy marijuana use3550.093520.10
 Serious substance use3620.113580.17
Overall well-being, self- and peer-reported average3600.060.74354–0.060.75
 General health index3600.800.183540.780.18
 Happiness36223.524.8335922.694.96
 Strength36217.262.7935916.982.91
Education and employment, self-report only
 Graduated from high school or graduate equivalency diploma4260.724090.72
 Currently full-time employed or enrolled in higher education3550.503560.50
Sexual experiences and romantic relationship aggression
 Number of sexual partners over lifetime, self-report only3313.241.803343.441.91
 Risky sexual behavior in past 12 months, self-report only3228.0911.8432813.9829.27
 Violent acts against romantic partner, self- and peer-reported average2830.771.642780.891.84
Parenting
 Coercive parenting1591.110.261581.130.24
 Spanking Scale1601.770.891582.001.00
 Parenting efficacy, self-report only1505.851.031475.731.17
 Parenting satisfaction, self-report only1494.981.251474.921.25
Severity-weighted conviction indices
 Substance crimes4020.501.374030.581.71
 Violent crimes3910.942.463961.384.05
 Property and public order crimes3912.496.173952.325.16

TABLE 2. Group Outcome Means (Standard Deviations) by Condition

Enlarge table

TABLE 3. Intervention Main Effects Based on Full Information Maximum Likelihood Modelsa

VariableIntervention EffectNumber Needed to Treat
Standard EstimatepOdds Ratiop95% CI
Any externalizing, internalizing, or substance use problem0.590.0010.43–0.818
Externalizing t score, self- or peer-reported average–0.150.026
 Antisocial personality DSM-IV clinical range0.600.0220.39–0.9320
 Attention deficit hyperactivity disorder problems DSM-IV clinical range0.650.0950.39–1.08
Internalizing t score, self- or peer-reported average–0.200.002
 Avoidant personality DSM-IV clinical range0.530.0260.30–0.93
 Somatic DSM-IV clinical range0.730.1710.47–1.14
 Anxiety DSM-IV clinical range 0.790.3730.47–1.33
 Depression DSM-IV clinical range0.680.1020.42–1.08
Any problematic substance use, self- or peer reported0.570.0010.41–0.788
 Alcohol abuse0.690.0450.48–0.99
 Binge drinking problem0.750.0570.55–1.01
 Heavy marijuana use0.760.3180.45–1.30
 Serious substance use0.580.0210.36–0.92
Overall well-being, self- and peer-reported average0.170.020
 General health index0.090.222
 Happiness0.190.008
 Strength 0.100.111
Education and employment, self-report only
 Graduated from high school or graduate equivalency diploma0.930.6540.68–1.27
 Current full-time employment or enrolled in higher education0.840.3160.60–1.18
Sexual experiences and romantic relationship aggression
 Number of sexual partners over lifetime, self-report only–0.170.032
 Risky sexual behavior in past 12 months, self-report only–0.240.000
 Violent acts against romantic partner, self- and peer-reported averageb–18.8%0.240
Parenting
 Coercive parenting–0.090.386
 Spanking Scale–0.220.043
 Parenting efficacy, self-report only0.200.098
 Parenting satisfaction, self-report only0.050.651
Severity-weighted conviction indices
 Substance crimesb–34.7%0.027
 Violent crimesb–30.9%0.047
 Property and public order crimesb–1.1%0.937

aModels controlled for site, cohort, and 22 preintervention control variables; the number needed to treat (NNT) was calculated using the model corrected odds ratio (OR) and control event rate (CER) and the following formula: NNT=(1–(CER*(1–OR)))/((1–CER)*(CER)*(1–OR)).

bCount outcome: percentage change in expected count is reported.

TABLE 3. Intervention Main Effects Based on Full Information Maximum Likelihood Modelsa

Enlarge table

TABLE 4. Moderation Test Resultsa

VariableGender (df=1)Race (df=1)Cohort (df=2)Site (df=3)Initial Screen (df=1)
χ2pχ2pχ2pχ2pχ2p
Any externalizing, internalizing, or substance use problem0.0740.7850.0001.0000.9970.6071.9800.5770.3620.548
Externalizing t score, self- or peer-reported average0.0350.8520.0060.9394.2120.1220.8770.8310.4210.517
 Antisocial personality DSM-IV clinical range0.0810.7760.0130.9088.3460.0151.9480.5830.0140.906
 Attention deficit hyperactivity disorder problems DSM-IV clinical range0.9120.3390.2460.6206.5850.0372.6210.4541.3310.249
Internalizing t score, self- or peer-reported average0.0300.8621.2290.2680.3630.8342.5810.4610.1550.694
 Avoidant personality DSM-IV clinical range2.0470.1522.4930.1143.4180.1812.7240.4360.0410.840
 Somatic DSM-IV clinical range1.8630.1720.0740.7851.1440.5652.3510.5031.2290.268
 Anxiety DSM-IV clinical range0.1690.6810.0290.8647.3020.0261.9970.5731.1660.280
 Depression DSM-IV clinical range0.0590.8090.1560.69320.0300.0004.7570.1910.0820.775
Any problematic substance use, self- or peer-reported0.0240.8760.0540.8170.9840.6114.0430.2571.2340.267
 Alcohol abuse2.4450.1180.4680.4941.0340.5960.8080.8483.2400.072
 Binge drinking problem0.1960.6580.0750.7840.5880.7450.3190.9560.9080.341
 Heavy marijuana use0.2780.5980.2540.6156.9340.0315.6960.1271.2990.254
 Serious substance use0.1610.6880.4680.4944.6960.0961.4600.6910.1420.707
Overall well-being, self- and peer-reported average0.0150.9040.5240.4694.8080.0904.9960.1720.0340.855
 General health index0.1620.6880.0240.8781.8820.3902.9360.4020.0710.789
 Happiness0.0070.9320.7220.3952.9430.2303.5120.3190.2560.613
 Strength0.1310.7171.6510.1994.9890.0835.0470.1680.5000.480
Education and employment, self-report only
 Graduated from high school or graduate equivalency diploma0.0001.0000.0900.7642.1290.3453.5010.3210.2170.641
 Currently full-time employed or enrolled in higher education0.2860.5930.2300.6321.4540.48310.5800.0140.0330.855
Sexual experiences and romantic relationship aggression
 Number of sexual partners over lifetime, self-report only0.0440.8350.1690.6811.3940.4986.0890.1070.1740.676
 Risky sexual behavior in past 12 months, self-report only1.2860.2570.0820.7742.7440.2540.6630.8821.8800.170
 Violent acts against romantic partner, self- and peer-reported average0.0430.8370.0640.8012.7000.2590.9100.8230.0600.806
Parenting
 Coercive parenting0.1080.7421.6390.2001.5100.4706.5780.0870.0930.760
 Spanking scale5.5530.0180.2270.6340.1260.9393.8710.2760.8830.347
 Parenting efficacy, self-report only0.0001.0000.8100.3680.2990.8611.9210.5890.4000.527
 Parenting satisfaction, self-report only0.2940.5880.1850.6672.6370.2680.2870.9624.0760.043
Severity-weighted conviction indices
 Substance crimes2.6200.1060.0150.90213.1090.0010.2610.9673.5800.058
 Violent crimes1.0620.3031.3550.2443.4000.1838.6570.0341.5750.209
 Property and public order crimes0.0340.8540.6650.4151.1070.5752.8400.4170.9530.329

aModels control for site, cohort, and 22 preintervention control variables; of 150 moderation tests, 10 were significant, but only two indicated an opposite-direction pattern of group means.

TABLE 4. Moderation Test Resultsa

Enlarge table

Any Psychiatric Problem

Children assigned to intervention were significantly less likely than children in the control group to exhibit any externalizing, internalizing, or substance use problem (Figure 1). Table 5 provides evidence that the intervention-control difference was consistent for each of 13 subgroups, which included the highest-risk group, the moderate-risk group, male participants, female participants, African Americans, European Americans, cohorts 1, 2, and 3, and sites in Durham, N.C., Nashville, Tenn., Seattle, and rural Pennsylvania.

FIGURE 1.

FIGURE 1. Rates of Clinical Problems at Age 25 for Intervention and Control Participants

TABLE 5. Subgroup Prevalence Rates (Numbers and Standard Deviations) for Any Externalizing, Internalizing, or Substance Use Problem

VariableIntervention ParticipantsControl ParticipantsDifference (Intervention–Control)
NumberRateNumberRate
Male2530.602300.70–0.10
Female1090.571260.67–0.11
European American1760.681830.75–0.08
African American1860.521730.62–0.11
Cohort 11270.581270.72–0.13
Cohort 21310.611290.68–0.07
Cohort 31040.591000.67–0.08
Durham, N.C.960.44950.60–0.16
Nashville, Tenn.810.57840.65–0.09
Rural Pennsylvania960.73970.81–0.09
Seattle890.64800.69–0.05
Highest initial risk530.64570.79–0.15
Moderate initial risk3090.592990.67–0.09

TABLE 5. Subgroup Prevalence Rates (Numbers and Standard Deviations) for Any Externalizing, Internalizing, or Substance Use Problem

Enlarge table

Scores from self-report only, peer-report only, and the use of an “and” rule instead of an “or” rule yielded similar significant effects. Intervention and control rates, respectively, were 0.48 compared with 0.57 for self-report (p<0.02); 0.41 compared with 0.51 for peer-report (p<0.01); and 0.26 compared with 0.35 for combined self- and peer-report (p<0.02).

Externalizing, Internalizing, and Substance Use Problems

Children assigned to intervention had significantly lower externalizing t scores (effect size calculated as Cohen’s d [{intervention mean–control mean}/standard deviation]=0.15); lower internalizing t scores (effect size=0.20); and a significantly lower probability of substance use problems.

Children assigned to intervention had significantly lower probability of meeting criteria for antisocial personality disorder, a marginally significant lower probability of ADHD, and significantly lower probability of avoidant personality. Intervention effects were not significant for somatic problems, anxiety, and depression.

Assignment to intervention significantly decreased the probability of alcohol abuse, marginally decreased binge drinking, did not affect heavy marijuana use, and significantly decreased serious substance use.

Patient Perspective

Five-year-old “Torian” lived with his mother, 7-year-old brother, and 1-year-old sister in a housing project in Nashville, Tenn. His mother had dropped out of school and was unemployed. He had never met his father. His mother reported difficulty keeping him out of trouble, and his kindergarten teacher reported consistent high levels of aggressive and disruptive behavior. Fast Track leaders recruited the family into the program at their apartment, where cockroaches crawled up their legs, the broken refrigerator door swung open, a police siren competed with a baby’s crying in the background, and the front door had marks of numerous break-ins. Torian’s mother responded affirmatively to the program’s stated goals of helping Torian’s long-term prospects of graduating from high school, staying out of jail, and staying off drugs.

Both mother and son regularly attended Saturday group sessions held at the school 14 miles away, with the aid of program transportation. The mother was grateful for the free baby-sitting offered to the sister and the pizza lunch provided to the brother and Torian. At one group session also attended by the first-grade teacher, the teacher expressed pleasure at meeting the mother for the first time. Even though she had also taught Torian’s older brother 2 years earlier, she had never met the mother. Program leaders reported that Torian was eager to attend sessions across the first 4 years, grew reticent in grades 5 and 6, and met privately with one leader throughout middle school. He was arrested for shoplifting in grade 7, but charges were dropped by the juvenile court. Mother and Torian beamed at the Fast Track “graduation” at the end of 10th grade. Although he struggled, Torian graduated from high school. At age 25, he was employed part-time, lived with friends, had not been arrested as an adult, and was not diagnosed with any psychopathology.

Crime

Assignment to intervention significantly decreased the expected severity-weighted violent crime conviction index by 31% and drug conviction index by 35%. Significant moderation of the violent crime index by cohort indicated favorable intervention-control differences in cohorts 1 and 2 but a nonsignificant opposite effect in cohort 3. Intervention did not affect property/public order crime.

Well-Being

Assignment to intervention increased the overall well-being and happiness scores but had no significant effect on general health index and personal strength scores.

Educational Attainment and Employment

Assignment to intervention did not affect the probability of graduating from high school or of being employed full-time or of higher education at age 25.

Sexual Experiences and Aggression in Romantic Relationships

Assignment to intervention decreased the lifetime number of sexual partners (effect size=0.17) and risky sexual behavior in the past 12 months (effect size=0.24). Among participants who maintained a romantic relationship in the past year, the intervention effect on violent acts against romantic partners was not significant.

Parenting

Assignment to intervention significantly decreased spanking of participants’ offspring (effect size=0.22). The effect was significantly moderated by gender, with a stronger effect among male participants than female participants. Intervention had no effect on coercive parenting, marginally increased parenting efficacy (effect size=0.20), and had no effect on parenting satisfaction.

Discussion

We found evidence that early psychosocial intervention can be efficacious in preventing costly adult psychopathology and crime in a group of early-starting conduct-problem children. Nineteen years after identification and 8 years after intervention ended, relative to control subjects, individuals randomly assigned to intervention displayed lower prevalence of externalizing problems, internalizing problems, substance use problems, violent and drug crime convictions, risky sexual behavior, and spanking of participants' offspring, as well as higher well-being. Intervention did not have an impact on education or employment. Previous reports of outcomes in elementary school (1921) and high school (22, 23) suggest that intervention impact cumulates so that the effect grows in adulthood.

These findings were robust across self- and peer raters and across decision metrics that applied “or” and “and” rules. Using a conservative “and” rule, intervention lowered the prevalence of any problem from 30% to 21%. Clinical interviews with the participant to obtain self-report measures are standard practice and typically accepted as valid (37), but they can be subject to bias by an intent to please program officials. Because peers had not participated in the intervention at all, they had little reason to bias their responses and thus bring an independent source of validity to the findings.

Fast Track’s efficacy did not differ across diverse subgroups of participants. Twelve “mini-replications” indicated that the direction of intervention effects held for each of the four sites and three cohorts, as well as for both male and female participants, African Americans, European Americans, moderate-risk children, and high-risk children. Of 150 moderation tests, only 10 were significant, and just two indicated nonsignificant reversal of direction for subgroups. These analyses did not test whether the intervention effect was statistically significant within each subgroup because of limited power, but we conclude that this intervention is appropriately targeted toward diverse groups of children.

These findings contribute to our understanding of the developmental antecedents of adult psychopathology. Most models acknowledge the role of biological predispositions, through temperament and still-underidentified genetic factors (1, 12). Models of development that incorporate the role of environmental experiences with parents, peers, and school have relied largely on correlational evidence subject to selection biases (11, 12). Even gene-by-environment interaction models utilize environmental evidence that is correlational. The present study contributes experimental evidence about the contribution of environmental experience: random assignment to a psychosocial intervention that attempted to change a child’s environmental experiences did indeed lead to changes in adult psychopathology outcomes. The findings are consistent with a developmental cascade model (46) in which changes in skills and social experiences early in life cascade into changes in broader outcomes many years later. Future studies will examine mediators of impact on adult outcomes to test developmental models more directly.

Future analyses will evaluate the degree to which the Fast Track intervention is financially cost beneficial. The intervention is a 10-year investment at a cost of $58,000 per child. The present findings indicate a modest reduction by 9 percentage points in prevalence of externalizing, internalizing, and substance problems as a result of intervention. The number of children needed to treat in order to reduce expected outcome “caseness” by one is 8, suggesting that the intervention would be cost beneficial if the cost of a single case of adult psychopathology exceeds $644,444 (calculated as $58,000/0.09). The cost to society of one case of adult psychopathology is not yet known precisely. The cost of chronic criminality has been estimated at up to $5.3 million per case (7), suggesting that the Fast Track intervention might well yield high dividends and exceed conservative benefit-cost tests. Additional benefits likely accrue from the impact of Fast Track on reducing risky sexual behavior and improving parenting and well-being. The benefit-cost ratio of this intervention should be compared with that of other approaches, such as prenatal home visiting to families selected based on demographic risk (47). However, even if the Fast Track intervention proves to be cost beneficial, other factors might well make it difficult to implement at scale, including the absolute cost and the length of commitment required by the intervention program.

Future data collection and analyses will monitor other life outcomes. We note that, although not statistically significant, the death rate was 2.5% for the intervention group and 1.6% for the control group, and the incarceration rate was 6.3% for the intervention group and 5.0% for the control group.

One limitation of this study is that the active ingredients of the intervention are not clear. The multicomponent intervention was designed based on a developmental science model that stipulated multiple factors in the development of antisocial behavior. No attempt was made experimentally to deliver partial treatments to determine which components were critical to impact, nor was any attempt made to encourage or block families from receiving outside interventions.

The most important conclusion from this study is that a comprehensive, multicomponent developmental science-based intervention targeted toward early-starting conduct-problem children can significantly reduce adult psychopathology and violent crime. The findings run counter to claims that prevention fails, made by advocates of cuts to federal funding for prevention (10), which are already only 3% of total health care spending. This finding should encourage policies and programs that acknowledge both the risk and the malleability of early-starting conduct-problem children.

From Duke University, Durham, N.C.; Pennsylvania State University, University Park; the University of Alabama, Tuscaloosa.; Simon Fraser University, Vancouver, British Columbia, Canada; and Tufts University, Boston.
Address correspondence to Dr. Dodge ().

Drs. Bierman, Coie, Dodge, Greenberg, Lochman, and McMahon are the developers of the Fast Track curriculum and have a publishing agreement with Oxford University Press. Dr. Greenberg is an author on the PATHS (Promoting Alternative Thinking Strategies) curriculum and has a royalty agreement with Channing-Bete, and he is also a principal in PATHS Training, LLC. Dr. McMahon has a royalty agreement with Guilford Publications, and he is also a member of the Treatments That Work Scientific Advisory Board with Oxford University Press. All other authors report no financial relationships with commercial interests.

Supported by NIMH grants R18 MH48043, R18 MH50951, R18 MH50952, R18 MH50953, K05MH00797, and K05MH01027; Department of Education grant S184U30002; and National Institute on Drug Abuse grants DA16903, DA017589, K05DA015226, and P30DA023026. The Center for Substance Abuse Prevention and the National Institute on Drug Abuse also provided support through a memorandum of agreement with NIMH.

This study is registered at clinicaltrials.gov (registry number, NCT01653535) and Prevent Violence Trials Registry (http://www.preventviolence.info/trial.aspx?id=3f511162-eecd-4277-a27c-a08a016869fe) as Multisite Prevention of Conduct Problems (Fast Track).

The authors thank the Durham Public Schools, the Metropolitan Nashville Public Schools, the Bellefonte Area Schools, the Tyrone Area Schools, the Mifflin County Schools, the Highline Public Schools, and the Seattle Public Schools. The authors also thank the staff members who implemented the project, collected the evaluation data, and assisted with data management and analyses.

References

1 Moffitt TE: Life-course persistent and adolescent-limited antisocial behavior: a developmental taxonomy. Psychol Rev 1993; 100:674–701Crossref, MedlineGoogle Scholar

2 Achenbach TM: Manual for the Young Adult Self-Report and Young Adult Behavior Checklist. Burlington, Vt, Department of Psychiatry, University of Vermont, 1997Google Scholar

3 Blumstein A, Cohen J, Roth J, Visher C: Criminal careers and career criminals. Washington, DC, National Academy Press, 1986Google Scholar

4 American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders, 4th ed. Washington, DC, American Psychiatric Publishing, 1994Google Scholar

5 Hare RD, Neumann CS: Psychopathy as a clinical and empirical construct. Annu Rev Clin Psychol 2008; 4:217–246Crossref, MedlineGoogle Scholar

6 Dilulio JJ: The coming of the super-predators. Wkly Stand 1995; 1:23–30Google Scholar

7 Dodge KA, Coie JD, Lynam D: Aggression and antisocial behavior in youth, in Handbook of Child Psychology, vol 3, Social, Emotional, and Personality Development, 6th ed. Edited by Damon W (series ed) and Eisenberg N (vol ed). New York, Wiley, 2006, pp 719–788Google Scholar

8 Cohen MA, Piquero AR: New evidence on the monetary value of saving a high risk youth. J Quant Criminol 2009; 25:25–49CrossrefGoogle Scholar

9 Kazdin AE: Parent management training: treatment for oppositional, aggressive, and antisocial behavior in children and adolescents. New York, Oxford University Press, 2005Google Scholar

10 Wilson C: Indiana court upholds life sentence for teen killer, Associated Press, Aug 1, 2012.Google Scholar

11 Benjamin G: Prevention funding: one step forward, two steps back. Health Affairs Blog. http://healthaffairs.org/blog/2012/03/01/prevention-funding-one-step-forward-two-steps-back/Google Scholar

12 Conduct Problems Prevention Research Group: A developmental and clinical model for the prevention of conduct disorders: the FAST Track Program. Dev Psychopathol 1992; 4:509–527CrossrefGoogle Scholar

13 Patterson GR, Yoerger K: A developmental model for early- and late-onset antisocial behavior, in Antisocial Behavior in Children and Adolescents: A Developmental Analysis and Model for Intervention. Edited by Reid JB, Snyder J, Patterson GR. Washington, DC, American Psychological Association, 2002, pp 147–172CrossrefGoogle Scholar

14 Lochman JE, Wells KC: Effectiveness study of coping power and classroom intervention with aggressive children: outcomes at a one-year follow-up. Behav Ther 2003; 3:493–515CrossrefGoogle Scholar

15 Oden S, Asher SR: Coaching children in social skills for friendship making. Child Dev 1977; 48:495–506CrossrefGoogle Scholar

16 Coie JD, Krehbiel G: Effects of academic tutoring on the social status of low-achieving, socially-rejected children. Child Dev 1978; 55:1465–1478CrossrefGoogle Scholar

17 Greenberg MT, Kusche CA, Cook ET, Quamma JP: Promoting emotional competence in school-aged children: the effects of the PATHS curriculum. Dev Psychopathol 1995; 7:117–136CrossrefGoogle Scholar

18 Dodge KA, Greenberg MT, Malone PS; Conduct Problems Prevention Research Group: Testing an idealized dynamic cascade model of the development of serious violence in adolescence. Child Dev 2008; 79:1907–1927Crossref, MedlineGoogle Scholar

19 Conduct Problems Prevention Research Group: Initial impact of the Fast Track prevention trial for conduct problems, I: the high-risk sample. J Consult Clin Psychol 1999; 67:631–647Crossref, MedlineGoogle Scholar

20 Conduct Problems Prevention Research Group: Evaluation of the first 3 years of the Fast Track prevention trial with children at high risk for adolescent conduct problems. J Abnorm Child Psychol 2002; 30:19–35Crossref, MedlineGoogle Scholar

21 Bierman KL, Coie JD, Dodge KA, Foster EM, Greenberg MT, Lochman JE, McMahon RJ, Pinderhughes EE; Conduct Problems Prevention Research Group: The effects of the Fast Track program on serious problem outcomes at the end of elementary school. J Clin Child Adolesc Psychol 2004; 33:650–661Crossref, MedlineGoogle Scholar

22 Conduct Problems Prevention Research Group: Fast Track randomized controlled trial to prevent externalizing psychiatric disorders: findings from grades 3 to 9. J Am Acad Child Adolesc Psychiatry 2007; 46:1250–1262Crossref, MedlineGoogle Scholar

23 Conduct Problems Prevention Research Group: Fast Track intervention effects on youth arrests and delinquency. J Exp Criminol 2010; 6:131–157Crossref, MedlineGoogle Scholar

24 Conduct Problems Prevention Research Group: The difficulty of maintaining positive intervention effects: a look at disruptive behavior, deviant peer relations, and social skills during the middle school years. J Early Adolesc 2010; 30:593–624CrossrefGoogle Scholar

25 Conduct Problems Prevention Research Group: The effects of the Fast Track preventive intervention on the development of conduct disorder across childhood. Child Dev 2011; 82:331–345Crossref, MedlineGoogle Scholar

26 Lochman JE; Conduct Problems Prevention Research Group: Screening of child behavior problems for prevention programs at school entry. J Consult Clin Psychol 1995; 63:549–559Crossref, MedlineGoogle Scholar

27 Werthamer-Larsson L, Kellam S, Wheeler L: Effect of first-grade classroom environment on shy behavior, aggressive behavior, and concentration problems. Am J Community Psychol 1991; 19:585–602Crossref, MedlineGoogle Scholar

28 Achenbach TM: Manual for the Child Behavior Checklist and 1991 Profile. Burlington, Vt, University of Vermont Department of Psychiatry, 1991Google Scholar

29 Achenbach TM: Manual for the Teacher’s Report Form and 1991 Profile. Burlington, Vt, University of Vermont Department of Psychiatry, 1991Google Scholar

30 Bierman KL, Greenberg MT; Conduct Problems Prevention Research Group: Social skills training in the Fast Track program, in Preventing Childhood Disorders, Substance Abuse, and Delinquency. Edited by Peters RDev, McMahon RJ. Thousand Oaks, Calif, Sage, 1996:65–89CrossrefGoogle Scholar

31 McMahon RJ, Slough N; Conduct Problems Prevention Research Group: Family-based intervention in the Fast Track program, in Preventing Childhood Disorders, Substance Abuse, and Delinquency. Edited by Peters RDev, McMahon RJ. Thousand Oaks, Calif, Sage, 1996:90–110CrossrefGoogle Scholar

32 Greenberg MT, Kusche CA; Conduct Problems Prevention Research Group: The PATHS (Promoting Alternative Thinking Strategies) Curriculum. Deerfield, Mass, Channing-Bete Co, 2014Google Scholar

33 Oyserman D: School-to-Jobs Facilitators Manual: After-School Program. Ann Arbor, University of Michigan, 2000Google Scholar

34 Conduct Problems Prevention Research Group: The implementation of the Fast Track program: an example of a large-scale prevention science efficacy trial. J Abnorm Child Psychol 2002; 30:1–17Crossref, MedlineGoogle Scholar

35 Cernkovich SA, Giordano PC: Stability and change in antisocial behavior: the transition from adolescence to early adulthood. Criminology 2001; 39:371–410CrossrefGoogle Scholar

36 Achenbach TM, Rescorla LA: Manual for the ASEBA Adult Forms and Profiles. Burlington, Vt, University of Vermont, Research Center or Children, Youth, and Families, 2003Google Scholar

37 Bureau of Labor Statistics, US Department of Labor: National Longitudinal Survey of Youth 1997 Cohort, 1997–2001 (produced by the National Opinion Research Center, the University of Chicago, and distributed by the Center for Human Resource Research). Washington, DC, US Department of Labor, Bureau of Labor Statistics, 2002Google Scholar

38 Robins LN, Helzer JE, Croughan J, Ratcliff KS: National Institute of Mental Health Diagnostic Interview Schedule: its history, characteristics, and validity. Arch Gen Psychiatry 1981; 38:381–389Crossref, MedlineGoogle Scholar

39 Ware JE Jr, Sherbourne CD: The MOS 36-item Short-Form Health Survey (SF-36), I: conceptual framework and item selection. Med Care 1992; 30:473–483Crossref, MedlineGoogle Scholar

40 Howe D, Frazis D: What researchers have learned from the National Longitudinal Surveys about Youth Unemployment (no 828), Washington, DC, US Department of Labor, Bureau of Labor Statistics, 1992Google Scholar

41 Capaldi DM, Stoolmiller M, Clark S, Owen LD: Heterosexual risk behaviors in at-risk young men from early adolescence to young adulthood: prevalence, prediction, and association with STD contraction. Dev Psychol 2002; 38:394–406Crossref, MedlineGoogle Scholar

42 Holtzworth-Monroe A, Rehman U, Herron C: General and spouse specific anger and hostility in subtypes of maritally violent men and nonviolent men. Behav Ther 2000; 31:603–630CrossrefGoogle Scholar

43 Straus M: Measuring intrafamily conflict and violence: the Conflict Tactics Scales. J March Fam 1979; 41:75–88CrossrefGoogle Scholar

44 McQuay HJ, Moore RA: Using numerical results from systematic reviews in clinical practice. Ann Intern Med 1997; 126:712–720Crossref, MedlineGoogle Scholar

45 Long JS, Freese J: Regression models for categorical and limited dependent variables with Stata. College Station, Tex, Stata Press, 2001Google Scholar

46 Masten AS, Roisman GI, Long JD, Burt KB, Obradovic J, Riley JR, Boelcke-Stennes K, Tellegen A: Developmental cascades: linking academic achievement and externalizing and internalizing symptoms over 20 years. Dev Psychol 2005; 41:733–746Crossref, MedlineGoogle Scholar

47 Olds D, Henderson CR Jr, Cole R, Eckenrode J, Kitzman H, Luckey D, Pettitt L, Sidora K, Morris P, Powers J: Long-term effects of nurse home visitation on children’s criminal and antisocial behavior: 15-year follow-up of a randomized controlled trial. JAMA 1998; 280:1238–1244Crossref, MedlineGoogle Scholar