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27 - Preventing Risk Behaviors in Adolescence

from Part V - Parent Education, Intervention and Policy

Published online by Cambridge University Press:  01 December 2022

Amanda Sheffield Morris
Affiliation:
Oklahoma State University
Julia Mendez Smith
Affiliation:
University of North Carolina, Greensboro
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Summary

Risky behaviors such as substance use, unsafe sexual interactions, aggression, and antisocial behavior are often elevated during adolescence and can serve as powerful influences on both youth adjustment and long-term mental and physical health outcomes. The various stages of adolescence, from early adolescence to emerging adulthood, present novel opportunities and challenges, often introducing new risk-taking opportunities. Underlying adolescents’ risk behaviors during this developmental period are extensive cognitive, biological, and social factors including brain development, new and renegotiated relationships, and contextual considerations such as socioeconomic status, community resources, and identity-related stress. Current interventions target risk behaviors at a variety of levels, focusing on individuals, families, schools, and communities, with many of these efforts demonstrating success with different populations. Future research and prevention efforts will continue to benefit from targeting multiple co-occurring behaviors, considering social influences of underserved groups facing disparities in risk-taking behaviors, culturally adapting interventions, and including other caregivers such as fathers.

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Publisher: Cambridge University Press
Print publication year: 2022

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References

Albers, C. A., Gloverb, T. A., & Kratochwilla, T. R. (2007). Where are we, and where do we go now?: Universal screening for enhanced educational and mental health outcomes. Journal of School Psychology, 45, 257263. https://doi.org/10.1016/j.jsp.2006.12.003Google Scholar
Angus, G. & Nelson, R. B. (2019). School-wide positive behavior interventions and supports and student academic achievement. Contemporary School Psychology, 25, 443465. https://doi.org/10.1007/s40688–019-00245-0Google Scholar
Armstrong, H. L., Steiner, R. J., Jayne, P. E., & Beltran, O. (2016). Individual-level protective factors for sexual health outcomes among sexual minority youth: A systematic review of the literature. Sexual Health, 13, 311327. https://doi.org/10.1071/SH15200Google Scholar
Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55, 469480. https://doi.org/10.1037/0003-066X.55.5.469Google Scholar
Bandura, A., Ross, D., & Ross, S. A. (1963). Vicarious reinforcement and imitative social learning. Journal of Abnormal and Social Psychology, 67, 601607. https://doi.org/10.1037/h0045550Google Scholar
Berkel, C., Mauricio, A. M., Rudo-Stern, J., Dishion, T. J., & Smith, J. D. (2020). Motivational Interviewing and Caregiver Engagement in the Family Check-Up 4 Health. Prevention Science (online first), 22, 737746. https://doi.org/10.1007/s11121–020-01112-8Google Scholar
Beyers, W. & Seiffge-Krenke, I. (2010). Does identity precede intimacy? Testing Erikson’s theory on romantic development in emerging adults of the 21st century. Journal of Adolescent Research, 25, 387415. https://doi.org/10.1177/0743558410361370Google Scholar
Biro, F. M., Greenspan, L. C., Galvez, M. P. et al. (2013). Onset of breast development in a longitudinal cohort. Pediatrics, 132, 10191027.Google Scholar
Biro, F. M. & Kiess, W. (2016). Contemporary trends in onset and completion of puberty, gain in height and adiposity. In Puberty from Bench to Clinic (pp. 122133). Karger Publishers.Google Scholar
Blakemore, S. J. & Mills, K. L. (2014). Is adolescence a sensitive period for sociocultural processing? Annual Review of Psychology, 65, 187207. https://doi.org/10.1146/annurev-psych-010213-115202Google Scholar
Blakemore, S. J. & Robbins, T. W. (2012). Decision-making in the adolescent brain. Nature Neuroscience, 15, 11841191. https://doi.org/10.1038/nn.3177Google Scholar
Botvin, G. J., Griffin, K. W., Diaz, T., & Ifill-Williams, M. (2001). Drug abuse prevention among minority adolescents: Posttest and one-year follow-up of a school-based preventive intervention. Prevention Science, 2, 113. https://doi.org/10.1023/A:1010025311161CrossRefGoogle ScholarPubMed
Branje, S. (2018). Development of parent–adolescent relationships: Conflict interactions as a mechanism of change. Child Development Perspectives, 12, 171176. https://doi.org/10.1111/cdep.12278CrossRefGoogle Scholar
Brener, N. D. & Collins, J. L. (1998). Co-occurrence of health-risk behaviors among adolescents in the United States. Journal of Adolescent Health, 22, 209213. https://doi.org/10.1016/S1054–139X(97)00161-4Google Scholar
Brito, N. H. & Noble, K. G. (2014). Socioeconomic status and structural brain development. Frontiers in Neuroscience, 8, 276. https://doi.org/10.3389/fnins.2014.00276Google Scholar
Brito, N. H., Piccolo, L. R., & Noble, K. G. (2017). Associations between cortical thickness and neurocognitive skills during childhood vary by family socioeconomic factors. Brain and Cognition, 116, 5462. https://doi.org/10.1016/j.bandc.2017.03.007Google Scholar
Brody, G. H., Kogan, S. M., & Chen, Y. F. (2012). Perceived discrimination and longitudinal increases in adolescent substance use: Gender differences and mediational pathways. American Journal of Public Health, 102, 10061011. https://doi.org/10.2105/ajph.2011.300588Google Scholar
Brody, G. H., Murry, V. M. B., Gerrard, M. et al. (2004). The Strong African American Families program: Translating research into prevention programming. Child Development, 75, 900917. https://doi.org/10.1111/j.1467-8624.2004.00713.xGoogle Scholar
Bronfenbrenner, U. (1979). The Ecology of Human Development. Harvard University Press.Google Scholar
Burke, M. D., Davis, J. L., Lee, Y., Hagan-Burke, S., Kwok, O., & Sugai, G. (2010). Universal screening for behavioral risk in elementary schools using SWPBS expectations. Journal of Emotional and Behavioral Disorders, 20, 3854. https://doi.org/10.1177/1063426610377328Google Scholar
Camenga, D. R., Klein, J. D., & Roy, J. (2006). The changing risk profile of the American adolescent smoker: Implications for prevention programs and tobacco interventions. Journal of Adolescent Health, 39, e1e10. https://doi.org/10.1016/j.jadohealth.2005.10.014Google Scholar
Carlson, D. L., McNulty, T. L., Bellair, P. E., & Watts, S. (2014). Neighborhoods and racial/ethnic disparities in adolescent sexual risk behavior. Journal of Youth and Adolescence, 43, 15361549. https://doi.org/10.1007/s10964–013-0052-0CrossRefGoogle ScholarPubMed
Caruthers, A. S., Van Ryzin, M. J., & Dishion, T. J. (2014). Preventing high-risk sexual behavior in early adulthood with family interventions in adolescence: Outcomes and developmental processes. Prevention Science, 15, 5969. https://doi.org/10.1007/s11121–013-0383-9Google Scholar
Castro, F. G., Barrera, M., Jr., & Martinez, C. R., Jr. (2004). The cultural adaptation of prevention interventions: Resolving tensions between fidelity and fit. Prevention Science, 5, 4145. https://doi.org/10.1023/B:PREV.0000013980.12412.cdGoogle Scholar
Centers for Disease Control and Prevention. (2018). Youth Risk Behavior Survey: Data summary and trends report 2007–2017. National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. www.cdc.gov/healthyyouth/data/yrbs/pdf/trendsreport.pdfGoogle Scholar
Chapman, R. L., Buckley, L., Sheehan, M. C., Shochet, I. M., & Romaniuk, M. (2011). The impact of school connectedness on violent behavior, transport risk-taking behavior, and associated injuries in adolescence. Journal of School Psychology, 49, 399410. https://doi.org/10.1016/j.jsp.2011.04.004Google Scholar
Chein, J., Albert, D., O’Brien, L., Uckert, K., & Steinberg, L. (2011). Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry. Developmental Science, 14, F1F10. https://doi.org/10.1111/j.1467-7687.2010.01035.xGoogle Scholar
Cho, H., Hallfors, D. D., & Sánchez, V. (2005). Evaluation of a high school peer group intervention for at-risk youth. Journal of Abnormal Child Psychology, 33, 363374. https://doi.org/10.1007/s10802–005-3574-4Google Scholar
Christenson, S. L. & Reschly, A. R. (2010). Preface. In Christenson, S. L. & Reschly, A. L. (Eds.), Handbook of school-family partnerships (pp. xiiixvii). Routledge.Google Scholar
Connell, A. M., McKillop, H. N., & Dishion, T. J. (2016). Long‐term effects of the Family Check‐Up in early adolescence on risk of suicide in early adulthood. Suicide and Life‐Threatening Behavior, 46, S15S22. https://doi.org/10.1111/sltb.12254Google Scholar
Côté, J. E. (2014). The dangerous myth of emerging adulthood: An evidence-based critique of a flawed developmental theory. Applied Developmental Science, 18, 177188.Google Scholar
Crone, E. A. & Dahl, R. E. (2012). Understanding adolescence as a period of social–affective engagement and goal flexibility. Nature Reviews Neuroscience, 13, 636650. https://doi.org/10.1038/nrn3313Google Scholar
Crone, E. A., van Duijvenvoorde, A. C., & Peper, J. S. (2016). Annual Research Review: Neural contributions to risk‐taking in adolescence –developmental changes and individual differences. Journal of Child Psychology and Psychiatry, 57, 353368. https://doi.org/10.1111/jcpp.12502Google Scholar
Dahl, R. E., Allen, N. B., Wilbrecht, L., & Suleiman, A. B. (2018). Importance of investing in adolescence from a developmental science perspective. Nature, 554, 441450. https://doi.org/10.1038/nature25770Google Scholar
Danaher, B. G., Seeley, J. R., Stormshak, E. A. et al. (2018). The Family Check-Up Online program for parents of middle school students: Protocol for a randomized controlled trial. JMIR Research Protocols, 7, e11106. https://doi.org/10.2019/11106Google Scholar
DiClemente, R. J., Brown, J. L., Sales, J. M., & Rose, E. S. (2013). Rate of decay in proportion of condom-protected sex acts among adolescents after participation in an HIV risk-reduction intervention. JAIDS Journal of Acquired Immune Deficiency Syndromes, 63, S85S89. https://doi.org/10.1097/QAI.0b013e3182920173Google Scholar
Dishion, T. J. & Kavanagh, K. (2002). The Adolescent Transitions Program: A family-centered prevention strategy for schools. In Reid, J. B., Snyder, J. J., & Patterson, G. R. (Eds.), Antisocial behavior in children and adolescents: A developmental analysis and the Oregon model for intervention (pp. 257272). American Psychological Association.Google Scholar
Dishion, T. J. & Stormshak, E. A. (2007). Intervening in children’s lives: An ecological, family-centered approach to mental health care. American Psychological Association.Google Scholar
Dishion, T. J., Stormshak, E. A., & Kavanagh, K. (2012). Everyday parenting: A professional’s guide to building family management skills. Research Press.Google Scholar
Earnshaw, V. A., Bogart, L. M., Dovidio, J. F., & Williams, D. R. (2013). Stigma and racial/ethnic HIV disparities: Moving toward resilience. American Psychologist, 68, 225236. https://doi.org/10.1037/a0032705Google Scholar
Ellis, B. J., Del Giudice, M., Dishion, T. J. et al. (2012). The evolutionary basis of risky adolescent behavior: Implications for science, policy, and practice. Developmental Psychology, 48, 598. https://doi.org/10.1037/a0026220Google Scholar
Embry, D. D. & Biglan, A. (2008). Evidence-based kernels: Fundamental units of behavioral influence. Clinical Child and Family Psychology Review, 11, 75113 (2008). https://doi.org/10.1007/s10567–008-0036-xCrossRefGoogle ScholarPubMed
Farhat, T., Iannotti, R. J., & Simons-Morton, B. G. (2010). Overweight, obesity, youth, and health-risk behaviors. American Journal of Preventive Medicine, 38, 258267. https://doi.org/10.1016/j.amepre.2009.10.038Google Scholar
Forgatch, M. S. & Patterson, G. R. (2010). Parent management training-Oregon model: An intervention for antisocial behavior in children and adolescents. In Weisz, J. R. & Kazdin, A. E. (Eds.), Evidence-based psychotherapies for children and adolescents (pp. 159178). Guilford Press.Google Scholar
Fosco, G. M., Frank, J. L., Stormshak, E. A., & Dishion, T. J. (2013). Opening the “black box”: Family Check-Up intervention effects on self-regulation that prevents growth in problem behavior and substance use. Journal of School Psychology, 51, 455468.Google Scholar
Fosco, G. M., Stormshak, E. A., Dishion, T. J., & Winter, C. E. (2012). Family relationships and parental monitoring during middle school as predictors of early adolescent problem behavior. Journal of Clinical Child & Adolescent Psychology, 41, 202213. https://doi.org/10.1080/15374416.2012.651981Google Scholar
Fosco, G. M., Van Ryzin, M. J., Connell, A. M., & Stormshak, E. A. (2016). Preventing adolescent depression with the Family Check-Up: Examining family conflict as a mechanism of change. Journal of Family Psychology, 30, 8292. https://doi.org/10.1037/fam0000147CrossRefGoogle ScholarPubMed
Fox, H. B., McManus, M. A., & Arnold, K. N. (2010). Significant multiple risk behaviors among US high school students [Fact sheet]. The National Alliance to Advance Adolescent Health. www.thenationalalliance.org/publications/2017/7/23/significant-multiple-risk-behaviors-among-us-high-school-studentsGoogle Scholar
Garbacz, S. A., McIntosh, K., Eagle, J. W., Dowd-Eagle, S. E., Ruppert, T., & Hirano, K. (2016). Family engagement within schoolwide positive behavioral interventions and supports. Preventing School Failure: Alternative Education for Children and Youth, 60, 6069. https://doi.org/10.1080/1045988X.2014.976809Google Scholar
Goldbach, J. T., Tanner-Smith, E. E., Bagwell, M., & Dunlap, S. (2014). Minority stress and substance use in sexual minority adolescents: A meta-analysis. Prevention Science, 15, 350363. https://doi.org/10.1007/s11120–013-0390-7CrossRefGoogle ScholarPubMed
Griffin, K. W. & Botvin, G. J. (2010). Evidence-based interventions for preventing substance use disorders in adolescents. Child and Adolescent Psychiatric Clinics, 19, 505526. https://doi.org/10.1016/j.chc.2010.03.005Google Scholar
Griskevicius, V., Tybur, J. M., Delton, A. W., & Robertson, T. E. (2011). The influence of mortality and socioeconomic status on risk and delayed rewards: A life history theory approach. Journal of Personality and Social Psychology, 100, 10151026. https://doi.org/10.1037/a0022403Google Scholar
Grossman, K., Grossman, K. E., Fremmer‐Bombik, E., Kindler, H., Scheurer‐English, H., & Zimmermann, P. (2002). The uniqueness of the child‐father attachment relationship: Fathers’ sensitive and challenging play as a pivotal variable in a 16‐year-long study. Social Development, 11, 307331. https://doi.org/10.1111/1467-9507.00202Google Scholar
Hadley, W., Houck, C. D., Barker, D. H. et al. (2013). Eliciting affect via immersive virtual reality: A tool for adolescent risk reduction. Journal of Pediatric Psychology, 39, 358368. https://doi.org/10.1093/jpepsy/jst092Google Scholar
Hadley, W., Houck, C., Brown, L., Spitalnick, J., Ferrer, M. & Barker, D. (2019). Moving beyond role-play: Evaluating the use of virtual reality to teach emotion regulation for the prevention of adolescent risk behavior within a randomized pilot trial. Journal of Pediatric Psychology, 44, 425435. https://doi.org/10.1093/jpepsy/jsy092Google Scholar
Hale, D. R., Fitzgerald-Yau, N., & Viner, R. M. (2014). A systematic review of effective interventions for reducing multiple health risk behaviors in adolescence. American Journal of Public Health, 104, e19e41. https://doi.org/10.2105/ajph.2014.301874Google Scholar
Han, W. J., Miller, D. P., & Waldfogel, J. (2010). Parental work schedules and adolescent risky behaviors. Developmental Psychology, 46, 12451267. https://doi.org/10.1037/a0020178Google Scholar
Hecht, M. L. & Krieger, J. L. R. (2006). The principle of cultural grounding in school-based substance abuse prevention: The drug resistance strategies project. Journal of Language and Social Psychology, 25, 301319. https://doi.org/10.1177/0261927X06289476Google Scholar
Herman-Giddens, M. E., Steffes, J., Harris, D. et al. (2012). Secondary sexual characteristics in boys: data from the Pediatric Research in Office Settings Network. Pediatrics, 130, e1058e1068.Google Scholar
Hill, L. G. (2019). Expanding our horizons: Risk, protection, and intervention in emerging adulthood. Prevention Science, 20, 385389. https://doi.org/10.1007/s11121–019-00996-5CrossRefGoogle ScholarPubMed
Holder, H. D., Gruenewald, P. J., Ponicki, W. R. et al. (2000). Effect of community-based interventions on high-risk drinking and alcohol-related injuries. JAMA, 284, 23412347. https://doi.org/10.1001/jama.284.18.2341Google Scholar
Institute of Medicine Committee on lesbian gay bisexual and transgender health issues and research gaps and opportunities. (2011). The health of lesbian, gay, bisexual, and transgender people: Building a foundation for better understanding. National Academies Press.Google Scholar
Jackson, C. A., Henderson, M., Frank, J. W., & Haw, S. J. (2012). An overview of prevention of multiple risk behaviour in adolescence and young adulthood. Journal of Public Health, 34, i31i40. https://doi.org/10.1093/pubmed/fdr113CrossRefGoogle ScholarPubMed
Jiang, G., Sun, F., & Marsiglia, F. F. (2016). Rural–urban disparities in adolescent risky behaviors: A family social capital perspective. Journal of Community Psychology, 44, 10271039. https://doi.org/10.1002/jcop.21825CrossRefGoogle Scholar
Kandel, D. & Kandel, E. (2015). The Gateway Hypothesis of substance abuse: Developmental, biological and societal perspectives. Acta Paediatrica, 104, 130137. https://doi.org/10.1111/apa.12851Google Scholar
Kendall, P. C. & Braswell, L. (1982). Cognitive-behavioral self-control therapy for children: A components analysis. Journal of Consulting and Clinical Psychology, 5, 672689. http://doi.org/10.1037/0022-006X.50.5.672Google Scholar
Kogan, S. M., Lei, M. K., Brody, G. H., Futris, T. G., Sperr, M., & Anderson, T. (2015). Implementing family-centered prevention in rural African American communities: A randomized effectiveness trial of the Strong African American Families program. Prevention Science, 17, 248258. https://doi.org/10.1007/s11121–015-0614-3CrossRefGoogle Scholar
Konrad, K., Firk, C., & Uhlhaas, P. J. (2013). Brain development during adolescence: Neuroscientific insights into this developmental period. Deutsches Ärzteblatt International, 110, 425431. https://doi.org/10.3238/arztebl.2013.0425Google ScholarPubMed
Kumpfer, K., Magalhães, C., & Xie, J. (2017). Cultural adaptation and implementation of family evidence-based interventions with diverse populations. Prevention Science, 18, 649659. https://doi.org/10.1007/s11121-016-0719-3Google Scholar
Latimer, J. (2001). A meta-analytic examination of youth delinquency, family treatment, and recidivism. Canadian Journal of Criminology, 43, 237253. https://doi.org/10.3138/cjcrim.43.2.237Google Scholar
Lerner, R. M. & Steinberg, L. (Eds.). (2009). Handbook of adolescent psychology, volume 1: Individual bases of adolescent development (Vol. 1). John Wiley & Sons.Google Scholar
Lochman, J. E., Baden, R. E., Boxmeyer, C. L. et al. (2014). Does a booster intervention augment the preventive effects of an abbreviated version of the coping power program for aggressive children? Journal of Abnormal Child Psychology, 42, 367381. https://doi.org/10.1007/s10802–013-9727-yCrossRefGoogle ScholarPubMed
Lochman, J. E. & Wells, K. C. (2002). The Coping Power program at the middle-school transition: Universal and indicated prevention effects. Psychology of Addictive Behaviors, 16, S40S54. https://doi.org/10.1037/0893-164X.16.4S.S40Google Scholar
Luciano, E. C., & Orth, U. (2017). Transitions in romantic relationships and development of self-esteem. Journal of Personality and Social Psychology, 112, 307328. https://doi.org/10.1037/pspp0000109Google Scholar
Luiselli, J. K., Putman, R. F., & Sunderland, M. (2002). Longitudinal evaluation of behavior support intervention in a public middle school. Journal of Positive Behavior Interventions, 4, 182188. https://doi.org/10.1177/10983007020040030701Google Scholar
Madkour, A. S., Farhat, T., Halpern, C. T., Godeau, E., & Gabhainn, S. N. (2010). Early adolescent sexual initiation as a problem behavior: A comparative study of five nations. Journal of Adolescent Health, 47, 389398. https://doi.org/10.1016/j.jadohealth.2010.02.008Google Scholar
Mann, F. D., Kretsch, N., Tackett, J. L., Harden, K. P., & Tucker-Drob, E. M. (2015). Person× environment interactions on adolescent delinquency: Sensation seeking, peer deviance and parental monitoring. Personality and Individual Differences, 76, 129134. https://doi.org/10.1016/j.paid.2014.11.055CrossRefGoogle ScholarPubMed
McAllister, F., Burgess, A., Kato, J. & Barker, G. (2012). Fatherhood parenting programmes and policy: A critical review of best practice. Fatherhood Institute.Google Scholar
McNeely, C. & Falci, C. (2004). School connectedness and the transition into and out of Health‐Risk behavior among adolescents: A comparison of social belonging and teacher support. Journal of School Health, 74, 284292. https://doi.org/10.1111/j.1746-1561.2004.tb08285.xGoogle Scholar
Meichenbaum, D. (1977). Cognitive-behavioral modification: An integrated approach. Guilford Press.CrossRefGoogle Scholar
Miller, W. R. & Rollnick, S. (2002). Motivational interviewing: Preparing people for change (2nd ed.). Guilford Press.Google Scholar
Mohr, D. C., Cuijpers, P., & Lehman, K. (2011). Supportive accountability: A model for providing human support to enhance adherence to eHealth interventions. Journal of Medical Internet Research, 13, e30. https://doi.org/10.2196/jmir.1602Google Scholar
Moore, K. J., Garbacz, S. A., Gau, J. M. et al. (2016). Proactive parent engagement in public schools: Using a brief strengths and needs assessment in a multiple-gating risk management strategy. Journal of positive behavior interventions, 18, 230240. https://doi.org/10.1177/1098300716632590Google Scholar
Morrissey, K. L., Bohanon, H., & Fenning, P. (2010). Positive behavior support: Teaching and acknowledging expected behaviors in an urban high school. Teaching Exceptional Children, 42, 2635. https://doi.org/10.1177/004005991004200503Google Scholar
Murry, V. M. B., Berkel, C., Brody, G. H., Gibbons, M., & Gibbons, F. X. (2007). The Strong African American Families program: Longitudinal pathways to sexual risk reduction. Journal of Adolescent Health, 41, 333342. https://doi.org/10.1016/j.jadohealth.2007.04.003Google Scholar
Mustanski, B. (2015). Future directions in research on sexual minority adolescent mental, behavioral, and sexual health. Journal of Clinical Child & Adolescent Psychology, 44, 204219. https://doi.org/10.1080/15374416.2014.982756Google Scholar
National Center for Education Statistics (NCES), United States Department of Education (2019). Postbaccalaureate enrollment. Institute of Educational Sciences. https://nces.ed.gov/programs/coe/pdf/Indicator_CHB/coe_chb_2019_05.pdfGoogle Scholar
Nierkens, V., Hartman, M. A., Nicolaou, M. et al. (2013). Effectiveness of cultural adaptations of interventions aimed at smoking cessation, diet, and/or physical activity in ethnic minorities. A systematic review. PLoS ONE, 8, e73373. https://doi.org/10.1371/journal.pone.0073373Google Scholar
Noble, K. G., Houston, S. M., Kan, E., & Sowell, E. R. (2012). Neural correlates of socioeconomic status in the developing human brain. Developmental Science, 15, 516527. https://doi.org/10.1111/j.1467-7687.2012.01147.xGoogle Scholar
Odgers, C. L., Caspi, A., Russell, M. A., Sampson, R. J., Arseneault, L., & Moffit, T. E. (2012). Supportive parenting mediates neighborhood socioeconomic disparities in children’s antisocial behavior from ages 5–12. Development and Psychopathology, 24, 705721. https://doi.org/10.1017/S0954579412000326Google Scholar
Panter‐Brick, C., Burgess, A., Eggerman, M., McAllister, F., Pruett, K., & Leckman, J. F. (2014). Practitioner review: Engaging fathers – recommendations for a game change in parenting interventions based on a systematic review of the global evidence. Journal of Child Psychology and Psychiatry, 55, 11871212. https://doi.org/10.1111/jcpp.12280Google Scholar
Pantin, H., Prado, G., Lopez, B. et al. (2009). A randomized controlled trial of Familias Unidas for Hispanic adolescents with behavior problems. Psychosomatic Medicine, 71, 987995. https://doi.org/10.1097/PSY.0b013e3181bb2913Google Scholar
Peper, J. S. & Dahl, R. E. (2013). The teenage brain: Surging hormones – Brain–behavior interactions during puberty. Current Directions in Psychological Science, 22, 134139. https://doi.org/10.1177/0963721412473755Google Scholar
Raver, C. C., Gershoff, E. T., & Aber, J. L. (2007). Testing equivalence of mediating models of income, parenting, and school readiness for White, Black, and Hispanic children in a national sample. Child Development, 78, 96115. https://doi.org/10.1111/j.1467-8624.2007.00987.xGoogle Scholar
Rekker, R., Keijsers, L., Branjea, S., Koot, H., & Meeus, W. (2017). The interplay of parental monitoring and socioeconomic status in predicting minor delinquency between and within adolescents. Journal of Adolescence, 59, 155165. https://doi.org/10.1016/j.adolescence.2017.06.001Google Scholar
Roditis, M. L., Delucchi, K., Chang, A., & Halpern-Felsher, B. (2016). Perceptions of social norms and exposure to pro-marijuana messages are associated with adolescent marijuana use. Preventive Medicine, 93, 171176.Google Scholar
Romer, D., Reyna, V. F., & Satterthwaite, T. D. (2017). Beyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context. Developmental Cognitive Neuroscience, 27, 1934. https://doi.org/10.1016/j.dcn.2017.07.007Google Scholar
Rosario, M., Corliss, H. L., Everett, B. G. et al. (2014). Sexual orientation disparities in cancer-related risk behaviors of tobacco, alcohol, sexual behaviors, and diet and physical activity: Pooled Youth Risk Behavior Surveys. American Journal of Public Health, 104, 245254. https://doi.org/10.2105/ajph.2013.301506Google Scholar
Sanders, M. R., Turner, K. M. T., & McWilliam, J. (2016). The Triple P – Positive Parenting Program: A community-wide approach to parenting and family support. In Van Ryzin, M. J., Kumpfer, K. L., Fosco, G. M., & Greenberg, M. T. (Eds.), Family-based prevention programs for children and adolescents: Theory, research, and large-scale dissemination (p. 134159). Psychology Press.Google Scholar
Severson, H. H., Walker, H. M., Hope-Doolittle, J., Kratochwill, T. R., & Gresham, F. M. (2007). Proactive, early screening to detect behaviorally at-risk students: Issues, approaches, emerging innovations, and professional practices. Journal of School Psychology, 45, 257263. https://doi.org/10.1016/j.jsp.2006.11.003Google Scholar
Sheridan, S. M., Eagle, J. W., Cowan, R. J., & Mickelson, W. (2001). The effects of conjoint behavioral consultation: Results of a 4-year investigation. Journal of School Psychology, 39, 361385. https://doi.org/10.1016/S0022–4405(01)00079-6Google Scholar
Sheridan, S. M. & Kratochwill, T. R. (2008). Conjoint behavioral consultation: Promoting family–school connections and interventions (2nd ed.). Springer Science+Business Media, LLC.Google Scholar
Shortt, A. L., Hutchinson, D. M., Chapman, R., & Toumbourou, J. W. (2007). Family, school, peer and individual influences on early adolescent alcohol use: First‐year impact of the resilient families programme. Drug and Alcohol Review, 26, 625634. https://doi.org/10.1080/09595230701613817Google Scholar
Shulman, E. P., Smith, A. R., Silva, K. et al. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103117. https://doi.org/10.1016/j.dcn.2015.12.010Google Scholar
Smith, J. D. & Polaha, J. (2017). Using implementation science to guide the integration of evidence-based family interventions into primary care. Families, Systems, & Health, 35, 125135. https://doi.org/10.1037/fsh0000252Google Scholar
Spoth, R. L., Redmond, C., & Shin, C. (2001). Randomized trial of brief family interventions for general populations: Adolescent substance use outcomes 4 years following baseline. Journal of Consulting and Clinical Psychology, 69, 627642. https://doi.org/10.1037/0022-006x.69.4.627Google Scholar
Steinberg, L. (2014). Age of opportunity: Lessons from the new science of adolescence. Houghton Mifflin Harcourt.Google Scholar
Steinberg, L., Icenogle, G., Shulman, E. P. et al. (2018). Around the world, adolescence is a time of heightened sensation seeking and immature self-regulation. Developmental Science, 21, 10.1111/desc.12532. https://doi.org/10.1111/desc.12532Google Scholar
Stormshak, E., Caruthers, A., Chronister, K. et al. (2019). Reducing risk behavior with family-centered prevention during the young adult years. Prevention Science, 20, 321330. https://doi.org/10.1007/s11121–018-0917-2CrossRefGoogle ScholarPubMed
Stormshak, E. A., Caruthers, A. S., Gau, J. M., & Winter, C. (2019). The impact of recreational marijuana legalization on rates of use and behavior: A 10-year comparison of two cohorts from high school to young adulthood. Psychology of Addictive Behaviors, 33, 595602.Google Scholar
Stormshak, E. A., Connell, A. M., & Dishion, T. J. (2009). An adaptive approach to family-centered intervention in schools: Linking intervention engagement to academic outcomes in middle and high school. Prevention Science, 10, 221235.Google Scholar
Stormshak, E. A., Connell, A. M., Véronneau, M. H. et al. (2011). An ecological approach to promoting early adolescent mental health and social adaptation: Family‐centered intervention in public middle schools. Child Development, 82, 209225. https://doi.org/10.1111/j.1467-8624.2010.01551.xGoogle Scholar
Stormshak, E. A. & Dishion, T. J. (2009). A school-based, family-centered intervention to prevent substance use: The family check-up. The American Journal of Drug and Alcohol Abuse, 35, 227232. https://doi.org/10.1080/00952990903005908Google Scholar
Stormshak, E. A., Seeley, J. R., Caruthers, A. S. et al. (2019). Evaluating the efficacy of the Family Check-Up Online: A school-based, ehealth model for the prevention of problem behavior during the middle school years. Development and Psychopathology, 31, 18731886. https://doi.org/10.1017/S0954579419000907Google Scholar
Sugai, G. & Horner, R. (2002). The evolution of discipline practices: School-wide positive behavior supports. Child & Family Behavior Therapy, 24, 2350. https://doi.org/10.1300/J019v24n01_03Google Scholar
Suleiman, A. B. & Dahl, R. (2019). Parent–child relationships in the puberty years: Insights from developmental neuroscience. Family Relations, 68, 279287. https://doi.org/10.1111/fare.12360CrossRefGoogle Scholar
Syed, M. & Mitchell, L. L. (2013). Race, ethnicity, and emerging adulthood: Retrospect and prospects. Emerging Adulthood, 1, 8395.Google Scholar
Snyder, T. D. (1993). 120 years of American education: A statistical portrait. National Center for Education Statistics. https://nces.ed.gov/pubs93/93442.pdfGoogle Scholar
Szapocznik, J. & Prado, G. (2007). Negative effects on family functioning from psychosocial treatments: A recommendation for expanded safety monitoring. Journal of Family Psychology, 21, 468478. https://doi.org/10.1037/0893-3200.21.3.468Google Scholar
Takesian, A. E. & Hensch, T. K. (2013). Balancing plasticity/stability across brain development. Progress in Brain Research, 207, 334. https://doi.org/10.1016/B978-0-444-63327-9.00001-1Google Scholar
Telzer, E. H. (2016). Dopaminergic reward sensitivity can promote adolescent health: A new perspective on the mechanism of ventral striatum activation. Developmental Cognitive Neuroscience, 17, 5767. https://doi.org/10.1016/j.dcn.2015.10.010CrossRefGoogle ScholarPubMed
Terzian, M. A., Andrews, K. M., & Moore, K. A. (2011). Preventing multiple risky behaviors among adolescents: Seven strategies [Brief]. Child Trends, 24, 112.Google Scholar
Tully, L. A., Piotrowska, P. J., Collins, D. A. et al. (2017). Optimising child outcomes from parenting interventions: Fathers’ experiences, preferences and barriers to participation. BMC Public Health, 17, 550. https://doi.org/10.1186/s12889–017-4426-1Google Scholar
United States Census Bureau. (2019a). Median age at first marriage: 1890 to present [Data file]. www.census.gov/data/tables/time-series/demo/families/marital.htmlGoogle Scholar
Valencia, R., Wang, L. Y., Dunville, R., Sharma, A., Sanchez, T., & Rosenberg, E. (2018). Sexual risk behaviors in adolescent sexual minority males: A systematic review and meta-analysis. The Journal of Primary Prevention, 39, 619645. https://doi.org/10.1007/s10935–018-0525-8Google Scholar
Van Ryzin, M. J., Fosco, G. M., & Dishion, T. J. (2012). Family and peer predictors of substance use from early adolescence to early adulthood: An 11-year prospective analysis. Addictive Behaviors, 37, 13141324. https://doi.org/10.1016/j.addbeh.2012.06.020Google Scholar
Véronneau, M. H. & Dishion, T. J. (2010). Predicting change in early adolescent problem behavior in the middle school years: A mesosystemic perspective on parenting and peer experiences. Journal of Abnormal Child Psychology, 38, 11251137. https://doi.org/10.1007/s10802-010-9431-0Google Scholar
Véronneau, M. H., Dishion, T. J., Connell, A. M., & Kavanagh, K. (2016). A randomized, controlled trial of the family check-up model in public secondary schools: Examining links between parent engagement and substance use progressions from early adolescence to adulthood. Journal of Consulting and Clinical Psychology, 84, 526543. https://doi.org/10.1037/a0040248Google Scholar
Voisin, D. R., Patel, S., Hong, J. S., Takahashi, L., & Gaylord-Harden, N. (2016). Behavioral health correlates of exposure to community violence among African-American adolescents in Chicago. Children and Youth Services Review, 69, 97105. https://doi.org/10.1016/j.childyouth.2016.08.006Google Scholar
Weisz, J., Chorpita, B., Palinkas, L. et al. (2012). Testing standard and modular designs for psychotherapy treating depression, anxiety, and conduct problems in youth. Archives of General Psychiatry, 69, 274282. https://doi.org/10.1001/archgenpsychiatry.2012.513Google Scholar
Wertz, J., Wright, K., Agnew-Blais, J. et al. (2016). Parental monitoring and knowledge: A test of bidirectional associations with youths’ antisocial behavior. Development and Psychopathology, 28, 623638. https://doi.org/10.1017/S0954579416000213Google Scholar
Whittle, S., Vijayakumar, N., Simmons, J. G. et al. (2017). Role of positive parenting in the association between neighborhood social disadvantage and brain development across adolescence. JAMA Psychiatry, 74, 824832. https://doi.org/10.1001/jamapsychiatry.2017.1558Google Scholar
Wiefferink, C. H., Peters, L., Hoekstra, F., Dam, G. T., Buijs, G. J., & Paulussen, T. G. (2006). Clustering of health-related behaviors and their determinants: possible consequences for school health interventions. Prevention Science, 7, 127149. https://doi.org/10.1007/s11121-005-0021-2Google Scholar
Willoughby, T., Good, M., Adachi, P. J., Hamza, C., & Tavernier, R. (2013). Examining the link between adolescent brain development and risk taking from a social–developmental perspective (reprinted). Brain and Cognition, 89, 7078. https://doi.org/10.1016/j.bandc.2014.07.006Google Scholar

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