The Fast Track intervention's impact on behaviors of despair in adolescence and young adulthood

Jennifer W Godwin, Conduct Problems Prevention Research Group, Karen L Bierman, John D Coie, Daniel M Crowley, Kenneth A Dodge, Mark T Greenberg, John E Lochman, Robert J McMahon, Ellen E Pinderhughes, Jennifer W Godwin, Conduct Problems Prevention Research Group, Karen L Bierman, John D Coie, Daniel M Crowley, Kenneth A Dodge, Mark T Greenberg, John E Lochman, Robert J McMahon, Ellen E Pinderhughes

Abstract

How to mitigate the dramatic increase in the number of self-inflicted deaths from suicide, alcohol-related liver disease, and drug overdose among young adults has become a critical public health question. A promising area of study looks at interventions designed to address risk factors for the behaviors that precede these -often denoted-"deaths of despair." This paper examines whether a childhood intervention can have persistent positive effects by reducing adolescent and young adulthood (age 25) behaviors that precede these deaths, including suicidal ideation, suicide attempts, hazardous drinking, and opioid use. These analyses test the impact and mechanisms of action of Fast Track (FT), a comprehensive childhood intervention designed to decrease aggression and delinquency in at-risk kindergarteners. We find that random assignment to FT significantly decreases the probability of exhibiting any behavior of despair in adolescence and young adulthood. In addition, the intervention decreases the probability of suicidal ideation and hazardous drinking in adolescence and young adulthood as well as opioid use in young adulthood. Additional analyses indicate that FT's improvements to children's interpersonal (e.g., prosocial behavior, authority acceptance), intrapersonal (e.g., emotional recognition and regulation, social problem solving), and academic skills in elementary and middle school partially mediate the intervention effect on adolescent and young adult behaviors of despair and self-destruction. FT's improvements to interpersonal skills emerge as the strongest indirect pathway to reduce these harmful behaviors. This study provides evidence that childhood interventions designed to improve these skills can decrease the behaviors associated with premature mortality.

Keywords: alcohol misuse; opioids; prevention; suicide.

Conflict of interest statement

The authors declare no competing interest.

Figures

Fig. 1.
Fig. 1.
Prevalence of behaviors of despair, adolescence through young adulthood (ages 15 to 20 and 25). *Weekly opioid use is based on data collected at ages 19, 20, and 25 only.
Fig. 2.
Fig. 2.
FT intervention effect on behaviors of despair in adolescence to young adulthood (ages 15 to 20 and 25) from full-information maximum likelihood (FIML) models (n = 891). *Weekly opioid use is based on data collected at ages 19, 20, and 25 only.
Fig. 3.
Fig. 3.
Mediation of FT intervention effect on any behavior of despair in adolescence to young adulthood (ages 15 to 20 and 25). The intervention OR in parentheses corresponds to the intervention effect when elementary and middle school skills are not included in the model. *P < 0.10; **P < 0.05; ***P < 0.01.

References

    1. Woolf S. H., et al. , Changes in midlife death rates across racial and ethnic groups in the United States: Systematic analysis of vital statistics. BMJ 362, k3096 (2018).
    1. Case A., Deaton A., Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century. Proc. Natl. Acad. Sci. U.S.A. 112, 15078–15083 (2015).
    1. Curtin S. C., Arias E., “Mortality trends by race and ethnicity among adults aged 25 and over, 2000–2017” (NCHS Data Brief 342, National Center for Health Statistics, Hyattsville, MD, 2019).
    1. NCHS , 2018 Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, Web-Based Injury Statistics Query and Reporting System (WISQARS) (2020). . Accessed 20 May 2020.
    1. Hedegaard H., Miniño A. M., Warner M., “Drug overdose deaths in the United States, 1999–2017” (NCHS Data Brief 329, National Center for Health Statistics, Hyattsville, MD, 2018).
    1. Cooper J., et al. , Suicide after deliberate self-harm: A 4-year cohort study. Am. J. Psychiatry 162, 297–303 (2005).
    1. Stahre M., Roeber J., Kanny D., Brewer R. D., Zhang X., Contribution of excessive alcohol consumption to deaths and years of potential life lost in the United States. Prev. Chronic Dis. 11, E109 (2014).
    1. Bohnert A. S. B., et al. , Association between opioid prescribing patterns and opioid overdose-related deaths. JAMA 305, 1315–1321 (2011).
    1. Maciejewski D. F., et al. , Overlapping genetic and environmental influences on nonsuicidal self-injury and suicidal ideation: Different outcomes, same etiology? JAMA Psychiatry 71, 699–705 (2014).
    1. Heath A. C., et al. , Genetic and environmental contributions to alcohol dependence risk in a national twin sample: Consistency of findings in women and men. Psychol. Med. 27, 1381–1396 (1997).
    1. Wang J. C., Kapoor M., Goate A. M., The genetics of substance dependence. Annu. Rev. Genomics Hum. Genet. 13, 241–261 (2012).
    1. Bridge J. A., Goldstein T. R., Brent D. A., Adolescent suicide and suicidal behavior. J. Child Psychol. Psychiatry 47, 372–394 (2006).
    1. Whelan R. et al. .; IMAGEN Consortium , Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature 512, 185–189 (2014).
    1. Cragg A., et al. , Risk factors for misuse of prescribed opioids: A systematic review and meta-analysis. Ann. Emerg. Med. 74, 634–646 (2019).
    1. Shanahan L., et al. , Does despair really kill? A roadmap for an evidence-based answer. Am. J. Public Health 109, 854–858 (2019).
    1. Kashden J., Fremouw W. J., Callahan T. S., Franzen M. D., Impulsivity in suicidal and nonsuicidal adolescents. J. Abnorm. Child Psychol. 21, 339–353 (1993).
    1. Moeller F., Dougherty D., Impulsivity and substance abuse: What is the connection? Addict. Disord. Their Treat. 1, 3–10 (2002).
    1. Horwitz A. G., Hill R. M., King C. A., Specific coping behaviors in relation to adolescent depression and suicidal ideation. J. Adolesc. 34, 1077–1085 (2011).
    1. Wagner E. F., Myers M. G., McIninch J. L., Stress-coping and temptation-coping as predictors of adolescent substance use. Addict. Behav. 24, 769–779 (1999).
    1. Brown G. K., Beck A. T., Steer R. A., Grisham J. R., Risk factors for suicide in psychiatric outpatients: A 20-year prospective study. J. Consult. Clin. Psychol. 68, 371–377 (2000).
    1. Krank M., et al. , Structural, concurrent, and predictive validity of the substance use risk profile scale in early adolescence. Addict. Behav. 36, 37–46 (2011).
    1. Capaldi D., Co-occurrence of conduct problems and depressive symptoms in early adolescent boys. II. A 2-year follow-up at grade 8. Dev. Psychopathol. 4, 125–144 (1992).
    1. Thompson M. P., Ho C. H., Kingree J. B., Prospective associations between delinquency and suicidal behaviors in a nationally representative sample. J. Adolesc. Health 40, 232–237 (2007).
    1. Kosterman R., et al. , Young adult social development as a mediator of alcohol use disorder symptoms from age 21 to 30. Psychol. Addict. Behav. 28, 348–358 (2014).
    1. Lynskey M. T., Fergusson D. M., Childhood conduct problems, attention deficit behaviors, and adolescent alcohol, tobacco, and illicit drug use. J. Abnorm. Child Psychol. 23, 281–302 (1995).
    1. Dodge K. A., et al. , A dynamic cascade model of the development of substance-use onset. Monogr. Soc. Res. Child Dev. 74, vii-119 (2009).
    1. Capaldi D. M., Kerr D. C. R., Tiberio S. S., Owen L. D., Men’s misuse of prescription opioids from early to middle adulthood: An examination of developmental and concurrent prediction models. J. Consult. Clin. Psychol. 87, 893–903 (2019).
    1. Conduct Problems Prevention Research Group , The Fast Track Program for Children at Risk: Preventing Antisocial Behavior (Guilford, 2019).
    1. Conduct Problems Prevention Research Group , Initial impact of the Fast Track prevention trial for conduct problems. I. The high-risk sample. Conduct problems prevention research group. J. Consult. Clin. Psychol. 67, 631–647 (1999).
    1. Moffitt T. E., Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychol. Rev. 100, 674–701 (1993).
    1. Patterson G. R., Reid J. B., Dishion T. J., Antisocial Boys (Castalia, 1992).
    1. Chamberlain P., Reid J. B., Ray J., Capaldi D. M., Fisher P., “Parent inadequate discipline (PID)” in DSM–IV Sourcebook, Widiger T. A., Frances A. J., Pincus H. A., First M. B., Ross R., Davis W. W., Eds. (American Psychiatric Association, Washington, DC, ed. 1, 1997), pp. 569–629.
    1. Dodge K. A., Bates J. E., Pettit G. S., Mechanisms in the cycle of violence. Science 250, 1678–1683 (1990).
    1. Coie J. D., Dodge K. A., “Aggression and antisocial behavior” in Handbook of Child Psychology: Social, Emotional, and Personality Development, Damon W., Eisenberg N., Eds. (John Wiley & Sons Inc., Hoboken, NJ, 1998), pp. 779–862.
    1. Bierman K., 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. 30, 19–35 (2002).
    1. Bierman K. L. et al. .; Conduct Problems Prevention Research Group , Using the Fast Track randomized prevention trial to test the early-starter model of the development of serious conduct problems. Dev. Psychopathol. 14, 925–943 (2002).
    1. Bierman K. L. et al. .; 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. 33, 650–661 (2004).
    1. 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. 30, 593–624 (2010).
    1. Dodge K. A.; 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 46, 1250–1262 (2007).
    1. Conduct Problems Prevention Research Group , Fast Track intervention effects on youth arrests and delinquency. J. Exp. Criminol. 6, 131–157 (2010).
    1. Conduct Problems Prevention Research Group , The effects of the Fast Track preventive intervention on the development of conduct disorder across childhood. Child Dev. 82, 331–345 (2011).
    1. Dodge K. A. et al. .; Conduct Problems Prevention Research Group , Impact of early intervention on psychopathology, crime, and well-being at age 25. Am. J. Psychiatry 172, 59–70 (2015).
    1. Barnett W. S., Lives in the Balance: Age-27 Benefit-Cost Analysis of the High/Scope Perry Preschool Program (High/Scope Press, 1996).
    1. Heckman J., Policies to foster human capital. Res. Econ. 54, 3–56 (2000).
    1. Reynolds A. J., et al. , Effects of a school-based, early childhood intervention on adult health and well-being: A 19-year follow-up of low-income families. Arch. Pediatr. Adolesc. Med. 161, 730–739 (2007).
    1. Dodge K. A., Godwin J.; Conduct Problems Prevention Research Group , Social-information-processing patterns mediate the impact of preventive intervention on adolescent antisocial behavior. Psychol. Sci. 24, 456–465 (2013).
    1. Sorensen L. C., Dodge K. A.; Conduct Problems Prevention Research Group , How does the Fast Track intervention prevent adverse outcomes in young adulthood? Child Dev. 87, 429–445 (2016).
    1. Lochman J. E., Screening of child behavior problems for prevention programs at school entry. The Conduct Problems Prevention Research Group. J. Consult. Clin. Psychol. 63, 549–559 (1995).
    1. 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. 19, 585–602 (1991).
    1. Achenbach T. M., Manual for the Child Behavior Checklist/4-18 and 1991 Profile (University of Vermont, Department of Psychiatry, 1991).
    1. Bierman K., Predictor variables associated with positive Fast Track outcomes at the end of third grade. J. Abnorm. Child Psychol. 30, 37–52 (2002).
    1. Shaffer D., Fisher P., Lucas C. P., Dulcan M. K., Schwab-Stone M. E., NIMH diagnostic interview Schedule for children version IV (NIMH DISC-IV): Description, differences from previous versions, and reliability of some common diagnoses. J. Am. Acad. Child Adolesc. Psychiatry 39, 28–38 (2000).
    1. Harris K. M., et al. , The National Longitudinal Study of Adolescent to Adult Health: Research Design (2009). . Accessed 11 November 2019.
    1. Achenbach T. M., Rescorla L. A., Manual for the ASEBA Adult Forms & Profiles (University of Vermont, Research Center for Children, Youth, & Families, Burlington, VT, 2003).
    1. Edwards G., Arif A., Hadgson R., Nomenclature and classification of drug- and alcohol-related problems: A WHO memorandum. Bull. World Health Organ. 59, 225–242 (1981).
    1. Reid M. C., Fiellin D. A., O’Connor P. G., Hazardous and harmful alcohol consumption in primary care. Arch. Intern. Med. 159, 1681–1689 (1999).
    1. Bureau of Labor Statistics, US Department of Labor , National Longitudinal Survey of Youth 1997 Cohort, 1997-2001 (National Opinion Research Center, the University of Chicago, 2002).

Source: PubMed

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