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PROSPER delivery of universal preventive interventions with young adolescents: long-term effects on emerging adult substance misuse and associated risk behaviors

Published online by Cambridge University Press:  12 April 2017

R. Spoth ,
C. Redmond ,
C. Shin ,
M. T. Greenberg ,
M. E. Feinberg  and
L. Trudeau
R. Spoth*
Affiliation:
Partnerships in Prevention Science Institute, Iowa State University, Ames, Iowa, USA
C. Redmond
Affiliation:
Partnerships in Prevention Science Institute, Iowa State University, Ames, Iowa, USA
C. Shin
Affiliation:
Partnerships in Prevention Science Institute, Iowa State University, Ames, Iowa, USA
M. T. Greenberg
Affiliation:
Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA
M. E. Feinberg
Affiliation:
Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA
L. Trudeau
Affiliation:
Partnerships in Prevention Science Institute, Iowa State University, Ames, Iowa, USA
*
*Address for correspondence: R. Spoth, Ph.D., Partnerships in Prevention Science Institute, Iowa State University, 2625 N. Loop Drive, Suite 2400, Ames, IA 50010, USA. (Email: [email protected])
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Abstract

Background

Substance misuse and associated health-risking behaviors are prevalent in emerging adulthood. There is a knowledge gap concerning the post-high school effects of community-based delivery systems for universal preventive interventions implemented during young adolescence. This study reports effects of the PROSPER delivery system through age 19, 7.5 years past baseline.

Methods

A cohort sequential design included 28 public school districts randomly assigned to the PROSPER partnership delivery system or usual-programming conditions. PROSPER community teams implemented a family-focused intervention in 6th grade and a school-based intervention in 7th grade. Outcomes for the age 19, post-high school report included lifetime, current, and frequency of substance misuse, as well as antisocial and health-risking sexual behaviors. Intent-to-treat, multi-level analyses of covariance of point-in-time outcomes were conducted, along with analyses of risk-related moderation of intervention effects.

Results

Results showed emerging adults from PROSPER communities reported significantly lower substance misuse across a range of types of substances, with relative reduction rates of up to 41.0%. No significant findings were observed for associated antisocial and health-risking sexual behavior indices; or for lifetime rates of sexually transmitted infections. Risk-related moderation effects were non-significant, suggesting generally comparable outcomes across higher- and lower-risk subgroups of emerging adults.

Conclusions

The PROSPER delivery system for brief universal preventive interventions has potential for public health impact by reducing long-term substance misuse, with positive results extending beyond high school.

Keywords

Community-university partnership modeldelivery systememerging adult outcomesevidence-based interventionuniversal preventive intervention
Type
Original Articles
Information
Psychological Medicine , Volume 47 , Issue 13 , October 2017 , pp. 2246 - 2259
Copyright
Copyright © Cambridge University Press 2017 

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References

Anthony, J (2003, August 1). Selected issued pertinent to epidemiology of adolescent drug use and dependence. Invited presentation to the Annenberg Commission on Adolescent Substance Abuse meeting. Philadelphia, PA.Google Scholar
Blanchard, KA, Morgenstern, J, Morgan, TJ, Lobouvie, EW, Bux, DA (2013). Assessing consequences of substance use: psychometric properties of the inventory of drug use consequences. Psychology of Addictive Behaviors 17, 328–331.CrossRefGoogle Scholar
Botvin, GJ (1996). Life Skills Training: Promoting Health and Personal Devlopment. Princeton, NJ: Princeton Health Press.Google Scholar
Botvin, GJ (2000). Life Skills Training. Princeton Health Press: Princeton, NJ.Google ScholarPubMed
Botvin, GJ, Griffin, KW (2014 a). Life skills training: preventing substance misuse by enhancing individual and social competence. New Directions for Youth Development 141, 57–65.CrossRefGoogle Scholar
Botvin, GJ, Griffin, KW (2014 b). Toward the development of preventive interventions to reduce HRSB, HIV/AIDS, and multiple problem behaviors. Prevention Science 15(S1), S81–S83.CrossRefGoogle ScholarPubMed
Chen, C-Y, Dormitzer, CM, Gutierrez, U, Vittetoe, K, Gonzalez, GB, Anthony, JC (2004). The adolescent behavioral repertoire as a context for drug exposure: behavioral autarcesis at play. Addiction 99, 897–906.CrossRefGoogle ScholarPubMed
Coffey, C, Patton, G (2016). Cannabis use in adolescence and young adulthood: a review of findings from the Victorian Adolescent Health Cohort Study. Canadian Journal of Psychiatry-Revue 61, 318–327.CrossRefGoogle Scholar
Crowley, DM, Jones, DE, Greenberg, MT, Feinberg, ME, Spoth, RL (2012). Resource consumption of a dissemination model for prevention programs: The PROSPER delivery system. Journal of Adolescent Health 50, 256–263.CrossRefGoogle Scholar
Degenhardt, L, Chiu, W-T, Sampson, N, Kessler, RC, Anthony, JC, Angermeyer, M, Bruffaerts, R, de Girolamo, G, Gureje, O, Huang, Y, Karam, A, Kostyuchenko, S, Lepine, JP, Mora, ME, Neumark, Y, Ormel, JH, Pinto-Meza, A, Posada-Villa, J, Stein, DJ, Takeshima, T, Wells, JE (2008) Toward a global view of alcohol, tobacco, cannabis, and cocaine use: findings from the WHO World Mental Health Surveys. PLoS Medicine 5, e141.CrossRefGoogle Scholar
Elliott, DS, Huizinga, D, Ageton, SS (1985). Explaining Delinquency and Drug use. Beverly Hills: Sage.Google Scholar
Fergusson, DM, Boden, JM (2008). Cannabis use and later life outcomes. Addiction 103, 969–976.CrossRefGoogle ScholarPubMed
Fischer, JA, Clavarino, AM, Plotnikova, M, Najman, JM (2015). Cannabis use and quality of life of adolescents and young adults: findings from an Australian birth cohort. Journal of Psychoactive Drugs 47, 107–116.CrossRefGoogle Scholar
Grant, BF, Dawson, DA (1998). Age of onset of drug use and its association with DSM-IV drug abuse and dependence: results from the national longitudinal alcohol epidemiologic survey. Journal of Substance Abuse 10, 163–173.CrossRefGoogle ScholarPubMed
Grant, BF, Stinson, FS, Harford, TC (2001). Age at onset of alcohol use and DSM-IV alcohol abuse and dependence: a 12-year follow-up. Journal of Substance Abuse 13, 493–504.CrossRefGoogle Scholar
Grumbach, K, Mold, JW (2009). A health care cooperative extension service: transforming primary care and community health. Journal of the American Medical Association 301, 2589–2591.CrossRefGoogle ScholarPubMed
Hansen, WB (1996). Pilot test results comparing the All Stars program with seventh grade D.A.R.E. program integrity and mediating variable analysis. Substance Use and Misuse 31, 1359–1377.CrossRefGoogle ScholarPubMed
Hawkins, JD, Catalano, RF Jr., and Associates (1992). Communities that Care: Action for Drug Abuse Prevention, 1st edn. Jossey-Bass: San Francisco.Google Scholar
Hawkins, JD, Catalano, RF, Arthur, MW, Egan, E, Brown, EC, Abbott, RD, Murray, DM (2008 a). Testing communities that care: the rationale, design and behavioral baseline equivalence of the community youth development study. Prevention Science 9, 178–190.CrossRefGoogle ScholarPubMed
Hawkins, JD, Kosterman, R, Catalano, RF, Hill, KG, Abbott, RD (2005). Promoting positive adult functioning through social development intervention in childhood: long term effects from the Seattle Social Development Project. Archives of Pediatrics and Adolescent Medicine 159, 25–31.CrossRefGoogle ScholarPubMed
Hawkins, JD, Kosterman, R, Catalano, RF, Hill, KG, Abbott, RD (2008 b). Effects of social development intervention in childhood fifteen years later. Archives of Pediatrics and Adolescent Medicine 162, 1133–1141.CrossRefGoogle Scholar
Hawkins, JD, Oesterle, S, Brown, EC, Monahan, KC, Abbott, RD, Arthur, MW (2012). Sustained decreases in risk exposure and youth problem behaviors after installation of the Communities That Care prevention system in a randomized trial. Archives of Pediatrics & Adolescent Medicine 166, 141–148.CrossRefGoogle ScholarPubMed
Johnston, LD, O'Malley, PM, Bachman, JG, Schulenberg, JE, Miech, RA (2015 a). Monitoring the Future National Survey Results on Drug use, 1975–2104: Volume 2, College Students and Adults ages 19–55 . Institute for Social Research, The University of Michigan: Ann Arbor.Google Scholar
Johnston, LD, O'Malley, PM, Bachman, JG, Schulenberg, JE, Patrick, ME, Miech, RA (2015 b). HIV/AIDS: Risk & Protective Behaviors among Adults Ages 21 to 40 in the U.S., 2004–2014 . Institute for Social Research, The University of Michigan: Ann Arbor.Google Scholar
Kellam, SG, Wang, W, Mackenzie, AC, Brown, CH, Ompad, DC, Or, F, Ialongo, NS, Poduska, JM, Windham, A (2014). The impact of the Good Behavior Game, a universal classroom-based preventive intervention in first and second grades, on high-risk sexual behaviors and drug abuse and dependence disorders into young adulthood. Prevention Science 15(S1), S6–S18.CrossRefGoogle Scholar
Loeber, R, Farrington, DP, Stouthamer-Loeber, M, White, HR (2008). Violence and Serious Theft: Development and Prediction from Childhood to Adulthood. Lawrence Erlbaum: Mahwah, NJ.CrossRefGoogle Scholar
Molgaard, VM, Kumpfer, KK, Fleming, E (1997). Strengthening Families Program for Parents and Youth 10-14: A Video-Based Curriculum. Institute for Social and Behavioral Research: Ames, IA.Google Scholar
Murray, DM, O'Connell, CM, Schmid, LA, Perry, CI (1987). The validity of smoking self-reports by adolescents: a reexamination of the bogus pipeline procedure. Addictive Behavior 12, 7–15.CrossRefGoogle ScholarPubMed
Murray, J, Farrington, DP (2010). Risk factors for conduct disorder and delinquency: key findings from longitudinal studies. Canadian Journal of Psychiatry 55, 633–642.CrossRefGoogle ScholarPubMed
National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (2013). Incidence, prevalence, and cost of sexually transmitted infections in the United States. Center for Disease Control and Prevention. (http://www.cdc.gov/std/stats/sti-estimates-fact-sheet-feb-2013.pdf). Accessed 24 December 2016.Google Scholar
National Institute on Drug Abuse (February, 2016 a). Abuse of prescription (Rx) drugs affects young adults most (https://www.drugabuse.gov/related-topics/trends-statistics/infographics/abuse-prescription-rx-drugs-affects-young-adults-most). Accessed 24 February 2016.Google Scholar
National Institute on Drug Abuse (February, 2016 b). Trends & Statistics. (https://www.drugabuse.gov/related-topics/trends-statistics). Accessed 24 February 2016.Google Scholar
National Research Council and Institute of Medicine (2009). Preventing Mental, Emotional, and Behavioral Disorders among Young People: Progress and Possibilities (ed. O'Connell, M. E., Boat, T. and Warner, K. E.). Committee on the prevention of Mental Disorders and Substance Abuse Among Children, Youth and Young Adults; Research Advances and Promising Interventions; Board on Children, Youth and Families, Division of Behavioral and Social Sciences and Education. The National Academies Press: Washington, DC. (http://www.nap.edu/catalog/12480/preventing-mental-emotional-and-behavioral-disorders-among-young-people-progress). Accessed 5 May 2016.Google Scholar
Oesterle, S, Hawkins, JD, Kuklinski, MR, Fagan, AA, Fleming, C, Rhew, IC, Brown, EC Abbott, RD, Catalano, RF (2015). Effects of Communities That Care on males’ and females’ drug use and delinquency 9 years after baseline in a community-randomized trial. American Journal of Community Psychology 56, 217–228.CrossRefGoogle Scholar
Offord, DR, Bennett, KJ (2002). Prevention. In Child and Adolescent Psychiatry, 4th edn. (ed. Rutter, M. and Taylor, E.), pp. 881–889. Blackwell Scientific: Oxford, England.Google Scholar
Osgood, DW, Feinberg, ME, Gest, SD, Moody, J, Ragan, DT, Spoth, R, Greenberg, M, Redmond, C (2013). Effects of PROSPER on the influence potential of prosocial versus antisocial youth in adolescent friendship networks. Journal of Adolescent Health 53, 174–179.CrossRefGoogle ScholarPubMed
Perrino, T, Pantin, H, Huang, S, Brincks, A, Brown, CH, Prado, G (2016). Reducing the risk of internalizing symptoms among high-risk Hispanic youth through a family intervention: a randomized controlled trial. Family Process 55, 91–106.CrossRefGoogle ScholarPubMed
Piquero, AF, Farrington, D, Blumstein, A (2007). Key Issues in Criminal Career Research. Cambridge University Press: New York.CrossRefGoogle Scholar
Poduska, JM, Kellam, SG, Wang, W, Brown, CH, Ialongo, NS, Toyinbo, P (2008). Impact of the Good Behavior Game, a universal classroom-based behavior intervention, on young adult service use for problems with emotions, behavior, or drugs or alcohol. Drug and Alcohol Dependence 95, S29–S44.CrossRefGoogle ScholarPubMed
Redmond, C, Spoth, RL, Shin, C, Schainker, L, Greenberg, M, Feinberg, M (2009). Long-term protective factor outcomes of evidence-based interventions implemented by community teams through a community-university partnership. Journal of Primary Prevention 30, 513–530.CrossRefGoogle ScholarPubMed
Rehm, J (2011). The risks associated with alcohol use and alcoholism. Alcohol Research & Health 34, 135–143.Google ScholarPubMed
Riggs, N, Chou, C, Pentz, M (2009) Preventing growth in amphetamine use: long term effects of the Midwestern Prevention Project (MPP) from early adolescence to early adulthood. Addiction 104, 1691–1699.CrossRefGoogle ScholarPubMed
Rosenstock, IM, Strecher, VJ, Becker, MH (1988). Social learning theory and the Health Belief Model. Health Education Quarterly 88, 175–183.CrossRefGoogle Scholar
Sameroff, AJ, Peck, SC, Eccles, JS (2004). Changing econolgical determinants of conduct problems from early adolescence to early adulthood. Development and Psychopathology 16, 873–896.CrossRefGoogle ScholarPubMed
Smith, GT, McCarthy, DM, Goldman, MS (1995). Self-reported drinking and alcohol-related problems among early adolescents: dimensionality and validity over 24 months. Journal of Studies on Alcohol and Drugs 36, 383–394.CrossRefGoogle Scholar
Spoth, R, Clair, S, Trudeau, L (2014 a). Universal family-focused intervention with young adolescents: effects on health-risking sexual behaviors and STDs among young adults. Prevention Science 15, S47–S58.CrossRefGoogle ScholarPubMed
Spoth, R, Clair, S, Greenberg, M, Redmond, C, Shin, C (2007 a). Toward dissemination of evidence-based family interventions: maintenance of community-based partnership recruitment results and associated factors. Journal of Family Psychology 21, 137–146.CrossRefGoogle ScholarPubMed
Spoth, R, Greenberg, M (2011). Impact challenges in community science-with-practice: lessons from PROSPER on transformative practitioner-scientist partnerships and prevention infrastructure development. American Journal of Community Psychology 48, 106–119.CrossRefGoogle ScholarPubMed
Spoth, R, Greenberg, M, Bierman, K, Redmond, C (2004). PROSPER community-university partnership model for public education systems: capacity-building for evidence-based, competence-building prevention. Prevention Science 5, 31–39.CrossRefGoogle ScholarPubMed
Spoth, R, Guyll, M, Lillehoj, CJ, Redmond, C, Greenberg, M (2007 b). PROSPER study of evidence-based intervention implementation quality by community-university partnerships. Journal of Community Psychology 35, 981–999.CrossRefGoogle ScholarPubMed
Spoth, R, Guyll, M, Shin, C (2009 a). Universal intervention as a protective shield against exposure to substance use: long-term outcomes and public health significance. American Journal of Public Health 99, 2026–2033.CrossRefGoogle ScholarPubMed
Spoth, R, Redmond, C, Clair, S, Shin, C, Greenberg, M, Feinberg, M (2011). Preventing substance misuse through community-university partnerships: randomized controlled trial outcomes 4.5 years past baseline. American Journal of Preventive Medicine 40, 440–447.CrossRefGoogle ScholarPubMed
Spoth, R, Redmond, C, Shin, C (2001). Randomized trial of brief family interventions for general populations: adolescent substance use outcomes four years following baseline. Journal of Consulting and Clinical Psychology 69, 627–642.CrossRefGoogle Scholar
Spoth, R, Redmond, C, Shin, C, Greenberg, M, Clair, S, Feinberg, M (2007 c). Substance use outcomes at 18 months past baseline: the PROSPER community-university partnership trial. American Journal of Preventive Medicine 32, 395–402.CrossRefGoogle ScholarPubMed
Spoth, R, Redmond, C, Shin, C, Greenberg, M, Feinberg, M, Schainker, L (2013 a). PROSPER community-university partnership delivery system effects on substance misuse through 6½ years past baseline from a cluster randomized controlled intervention trial. Preventive Medicine 56, 190–196.CrossRefGoogle ScholarPubMed
Spoth, R, Trudeau, L, Guyll, M, Shin, C, Redmond, C (2009 b). Universal intervention effects on substance use among young adults mediated by delayed adolescent substance initiation. Journal of Consulting and Clinical Psychology 77, 620–632.CrossRefGoogle ScholarPubMed
Spoth, R, Trudeau, L, Redmond, C, Shin, C (2014 b). Replication RCT of early universal prevention effects on young adult substance misuse. Journal of Consulting and Clinical Psychology 82, 949–963.CrossRefGoogle Scholar
Spoth, R, Trudeau, L, Redmond, C, Shin, C (2016). Replicating and extending a model of effects of universal preventive intervention during early adolescence on young adult substance misuse. Journal of Consulting and Clinical Psychology 84, 913–921.CrossRefGoogle Scholar
Spoth, R, Trudeau, L, Shin, C, Ralston, E, Redmond, C, Greenberg, M, Feinberg, M (2013 b). Longitudinal effects of universal preventive intervention on prescription drug misuse: three randomized controlled trials with late adolescents and young adults. American Journal of Public Health 103, 665–672.CrossRefGoogle ScholarPubMed
Spoth, RL, Trudeau, LS, Redmond, C, Shin, C, Greenberg, MT, Feinberg, ME, Hyun, GH (2015). PROSPER partnership delivery system: effects on conduct problem behavior outcomes through 6.5 years past baseline. Journal of Adolescence 45, 44–55.CrossRefGoogle ScholarPubMed
Stone, AL, Becker, LG, Huber, AM, Catalano, RF (2012). Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive Behaviors 37, 747–775.CrossRefGoogle ScholarPubMed
Sussman, S (2013). A lifespan developmental-stage approach to tobacco and other drug abuse prevention. ISRN Addiction, vol. 2013, Article ID 745783. (http://dx.doi.org/10.1155/2013/745783). Accessed 5 May 2016.CrossRefGoogle ScholarPubMed
Swendsen, J, Conway, KP, Degenhardt, L, Glantz, M, Jin, R, Merikangas, KR, Sampson, N, Kessler, RC (2010). Mental disorders as risk factors for substance use, abuse and dependence: results from the 10-year follow-up of the National Comorbidity Survey. Addiction 105, 1117–1128.CrossRefGoogle ScholarPubMed
Trudeau, L, Spoth, R, Mason, WA, Randall, GK, Redmond, C, Schainker, L (2016). Effects of an adolescent universal substance misuse preventive intervention on young adult depression symptoms: mediational modeling. Journal of Abnormal Child Psychology 44, 257–268.CrossRefGoogle Scholar
Trudeau, L, Spoth, R, Randall, K, Mason, WA, Shin, C (2012). Internalizing symptoms: effects of a preventive intervention on developmental pathways from early adolescence to young adulthood. Journal of Youth & Adolescence 41, 788–801.CrossRefGoogle ScholarPubMed
US Department of Justice, Drug Enforcement Administration (May, 2014). The dangers and consequences of marijuana abuse. (http://www.dea.gov/docs/dangers-consequences-marijuana-abuse.pdf). Accessed 24 February 2016.Google Scholar
US Department of Health and Human Services (HHS), Office of the Surgeon General (2016). Facing Addiction in America: The Surgeon General's Report on Alcohol, Drugs, and Health. HHS: Washington, DC.Google Scholar
Van Ryzin, MJ, Johnson, AB, Leve, LD, Kim, HK (2011). The number of sexual partners and health-risking sexual behavior: prediction from high school entry to high school exit. Archives of Sexual Behavior, 40, 939–949.CrossRefGoogle ScholarPubMed
Volkow, ND, Compton, WM, Weiss, SRB (2014). Adverse health effects of marijuana use REPLY. New England Journal of Medicine 371, 879–879.Google Scholar
Welsh, J, Chilenski, SM, Johnson, L, Greenberg, MT, Spoth, RL (2016). Pathways to sustainability: 8-year outcomes from the PROSPER project. Journal of Primary Prevention 37, 263–286.CrossRefGoogle Scholar
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