Journal of Youth and Adolescence

, Volume 46, Issue 3, pp 483–504 | Cite as

Effectiveness of Positive Youth Development Interventions: A Meta-Analysis of Randomized Controlled Trials

  • Oana Ciocanel
  • Kevin Power
  • Ann Eriksen
  • Kirsty Gillings
Empirical Research

Abstract

Positive youth development is thought to be essential to the prevention of adolescent risk behavior and the promotion of thriving. This meta-analysis examined the effects of positive youth development interventions in promoting positive outcomes and reducing risk behavior. Ten databases and grey literature were scanned using a predefined search strategy. We included studies that focused on young people aged 10–19 years, implemented a positive youth development intervention, were outside school hours, and utilized a randomized controlled design. Twenty-four studies, involving 23,258 participants, met the inclusion criteria and were included in the analysis. The impact of the interventions on outcomes including behavioral problems, sexual risk behavior, academic achievement, prosocial behavior and psychological adjustment were assessed. Positive youth development interventions had a small but significant effect on academic achievement and psychological adjustment. No significant effects were found for sexual risk behaviors, problem behavior or positive social behaviors. Intervention effects were independent of program characteristics and participant age. Low-risk young people derived more benefit from positive youth development interventions than high-risk youth. The studies examined had several methodological flaws, which weakened the ability to draw conclusions. Substantial progress has been made in the theoretical understanding of youth development in the past two decades. This progress needs to be matched in the intervention literature, through the use of high-quality evaluation research of positive youth development programs.

Keywords

Positive youth development Sexual health Substance use Mental health Academic achievement Prosocial behavior Meta-analysis 

References

  1. References marked with an asterisk indicate studies included in the meta-analysis.Google Scholar
  2. *Allen, J. P., Philliber, S., Herrling, S., & Kuperminc, G. P. (1997). Preventing teen pregnancy and academic failure: Experimental evaluation of a developmentally based approach. Child Development, 68(4), 729–742. doi:10.1111/j.1467-8624.1997.tb04233.x.CrossRefGoogle Scholar
  3. Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50(4), 1088–1101.PubMedCrossRefGoogle Scholar
  4. Beinart, S., Anderson, B., Lee, S., & Utting, D. (2002). Youth at risk? A national survey of risk factors, protective factors and problem behaviour among young people in England, Scotland and Wales. London: Communities that Care.Google Scholar
  5. Bellis, M. A., Hughes, K., Calafat, A., Juan, M., Ramon, A., Rodriguez, J. A., et al. (2008). Sexual uses of alcohol and drugs and the associated health risks: A cross sectional study of young people in nine European cities. BMC Public Health, 8, 155. doi:10.1186/1471-2458-8-155.PubMedPubMedCentralCrossRefGoogle Scholar
  6. Benson, P. L., Scales, P. C., Hamilton, S. F., & Semsa, A, Jr. (2006). Positive youth development: Theory, research, and applications. In W. Damon, R. M. Lerner, & R. M. Lerner (Eds.), Handbook of child psychology, Vol. 1: Theoretical models of human development (6th ed., pp. 894–941). Hoboken, NJ: Wiley.Google Scholar
  7. Beyers, J. M., Toumbourou, J. W., Catalano, R. F., Arthur, M. W., & Hawkins, J. D. (2004). A cross-national comparison of risk and protective factors for adolescent substance use: The United States and Australia. Journal of Adolescent Health, 35(1), 3–16. doi:10.1016/j.jadohealth.2003.08.015.PubMedGoogle Scholar
  8. Biglan, A. (Ed.). (2004). Helping adolescents at risk: Prevention of multiple problem behaviors. New York: Guilford Press.Google Scholar
  9. *Bird, J. M. (2014). Evaluating the effects of a strengths-based, professional development intervention on adolescents’ academic, social, and emotional outcomes. (Unpublished doctoral thesis), University, of South Caroline, United States. Retrieved from University of South Caroline website http://scholarcommons.sc.edu/etd/2790/?utm_source=scholarcommons.sc.edu%2Fetd%2F2790&utm_medium=PDF&utm_campaign=PDFCoverPages.
  10. Bonell, C., Allen, E., Strange, V., Copas, A., Oakley, A., Stephenson, J., et al. (2005). The effect of dislike of school on risk of teenage pregnancy: Testing of hypotheses using longitudinal data from a randomised trial of sex education. Journal of Epidemiology and Community Health, 59(3), 223–230. doi:10.1136/jech.2004.023374.PubMedPubMedCentralCrossRefGoogle Scholar
  11. Bonell, C., Fletcher, A., & McCambridge, J. (2007). Improving school ethos may reduce substance misuse and teenage pregnancy. BMJ, 334(7594), 614–616. doi:10.1136/bmj.39139.414005.AD.PubMedPubMedCentralCrossRefGoogle Scholar
  12. *Bonell, C., Maisey, R., Speight, S., Purdon, S., Keogh, P., Wollny, I., et al. (2013). Randomized controlled trial of “teens and toddlers”: A teenage pregnancy prevention intervention combining youth development and voluntary service in a nursery. Journal of Adolescence, 36(5), 859–870. doi:10.1016/j.adolescence.2013.07.005.PubMedCrossRefGoogle Scholar
  13. Borenstein, M., Hedges, V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester, UK: Wiley.CrossRefGoogle Scholar
  14. Bowers, E. P., Li, Y., Kiely, M. K., Brittian, A., Lerner, J. V., & Lerner, R. M. (2010). The five Cs model of positive youth development: A longitudinal analysis of confirmatory factor structure and measurement invariance. Journal of Youth and Adolescence, 39(7), 720–735. doi:10.1007/s10964-010-9530-9.PubMedCrossRefGoogle Scholar
  15. Brooks-Gunn, J., & Roth, J. (2014). Promotion and prevention in youth development: Two sides of the same coin? Journal of Youth and Adolescence, 43(6), 1004–1007. doi:10.1007/s10964-014-0122-y.PubMedCrossRefGoogle Scholar
  16. *Carter, S., Straits, K. J., & Hall, M. (2007). Project venture: Evaluation of an experiential, culturally based approach to substance abuse prevention with American Indian youth. The Journal of Experiential Education, 29(3), 397–400.CrossRefGoogle Scholar
  17. Catalano, R. F., Berglund, M. L., Ryan, J. A., Lonczak, H. S., & Hawkins, J. D. (2002). Positive youth development in the United States: Research findings on evaluations of positive youth development programs. Prevention and Treatment, 5(1), 15. doi:10.1037/1522-3736.5.1.515a.Google Scholar
  18. Catalano, R. F., Berglund, M. L., Ryan, J. A., Lonczak, H. S., & Hawkins, J. D. (2004). Positive youth development in the United States: Research findings on evaluations of positive youth development programs. The Annals of the American Academy of Political and Social Science, 591(1), 98–124. doi:10.1177/0002716203260102.CrossRefGoogle Scholar
  19. Clarke, A. M., Hussein, Y., Morreale, S., Field, C. A., & Barry, M. M. (2015). What works in enhancing social and emotional skills development during childhood and adolescence? A review of the evidence on the effectiveness of school-based and out-of-school programmes in the UK. Retrieved from National University of Ireland Galway. https://aran.library.nuigalway.ie/handle/10379/4981.
  20. Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Hillside. NJ: Lawrence Earlbaum Associates.Google Scholar
  21. Connell, C. M., Gilreath, T. D., & Hansen, N. B. (2009). A multiprocess latent class analysis of the co-occurrence of substance use and sexual risk behavior among adolescents. Journal of Studies on Alcohol and Drugs, 70(6), 943–951. doi:10.15288/jsad.2009.70.943.PubMedPubMedCentralCrossRefGoogle Scholar
  22. Cross, A. B., Gottfredson, D. C., Wilson, D. M., Rorie, M., & Connell, N. (2009). The impact of after-school programs on the routine activities of middle-school students: Results from a randomized, controlled trial. Criminology & Public Policy, 8(2), 391–412. doi:10.1111/j.1745-9133.2009.00555.x.CrossRefGoogle Scholar
  23. Damon, W. (2004). What is positive youth development? The Annals of the American Academy of Political and Social Science, 591(1), 13–24. doi:10.1177/0002716203260042.CrossRefGoogle Scholar
  24. *Deane, K. L. (2012). Project K in black & white: A theory-driven & randomised controlled trial evaluation of a youth development programme (Unpublished doctoral thesis) University of Auckland, New Zealand. Retrieved from University of Auckland website https://researchspace.auckland.ac.nz/handle/2292/19753.
  25. Degenhardt, L., Chiu, W. T., Sampson, N., Kessler, R. C., Anthony, J. C., Angermeyer, M., et al. (2008). Toward a global view of alcohol, tobacco, cannabis, and cocaine use: Findings from the WHO World Mental Health Surveys. PLoS Med, 5(7), e141. doi:10.1371/journal.pmed.0050141.PubMedPubMedCentralCrossRefGoogle Scholar
  26. Department of Health (2011). Abortion statistics, England and Wales: 2010. Retrieved from https://www.gov.uk/government/statistics/abortion-statistics-england-and-wales-2010.
  27. Dickson, K., Vigurs, C. A., & Newman, M. (2013). Youth work: A systematic map of the research literature. Dublin, Department of Children and Youth Affairs. Retrieved from http://www.drugs.ie/resourcesfiles/ResearchDocs/Ireland/2013/SystematicMapping.pdf.
  28. *Dolan, P., Brady, B., O’Regan, C., Russell, D., Canavan, J., & Forkan, C. (2011). Big brothers big sisters of Ireland: Evaluation study: Report one: Randomised controlled trial and implementation report. Child and Family Research Centre, University of Galway, Foroige. Retrieved from http://www.foroige.ie/sites/default/files/big_brother_big_sister_report_3.pdf.
  29. Donnellan, M. B., Trzesniewski, K. H., Robins, R. W., Moffitt, T. E., & Caspi, A. (2005). Low self-esteem is related to aggression, antisocial behavior, and delinquency. Psychological Science, 16(4), 328–335. doi:10.1111/j.0956-7976.2005.01535.x.PubMedCrossRefGoogle Scholar
  30. Dryfoos, J. (1990). Adolescents at risk: Prevalence and prevention. New York: Oxford University Press.Google Scholar
  31. DuRant, R. H., Smith, J. A., Kreiter, S. R., & Krowchuk, D. P. (1999). The relationship between early age of onset of initial substance use and engaging in multiple health risk behaviors among young adolescents. Archives of Pediatrics and Adolescent Medicine, 153(3), 286–291. doi:10.1001/archpedi.153.3.286.PubMedCrossRefGoogle Scholar
  32. Durlak, J. A., & Weissberg, R. P. (2007). The impact of after-school programs that promote personal and social skills. Chicago, Illinois: Collaborative for Academic, Social, and Emotional Learning. Retrieved from http://www.uwex.edu/ces/4h/afterschool/partnerships/documents/ASP-Full.pdf.
  33. Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82(1), 405–432. doi:10.1111/j.1467-8624.2010.01564.x.PubMedCrossRefGoogle Scholar
  34. Durlak, J. A., Weissberg, R. P., & Pachan, M. (2010). A meta-analysis of after-school programs that seek to promote personal and social skills in children and adolescents. American Journal of Community Psychology, 45(3–4), 294–309. doi:10.1007/s10464-010-9300-6.PubMedCrossRefGoogle Scholar
  35. Eaton, D., Kann, L., Kinchen, S., Ross, J., Hawkins, J., Harris, W.A., Lowry, R., McManus, T., Chyen, D., Shanklin, S., Lim, C., Grunbaum, J.A., & Weschler, H. (2006). Youth risk behavior surveillance—United States 2005. Morbidity & Mortality Weekly Report 55(SS05), 1–108. Retrieved from Centers for Disease Prevention. https://www.cdc.gov/mmwr/preview/mmwrhtml/ss5505a1.htm.
  36. Emler, N. (2001). Self esteem: The costs and causes of low self worth. York, York Publishing Services. Retrieved from https://www.jrf.org.uk/report/self-esteem-costs-and-causes-low-self-worth.
  37. *Feinberg, M. E., Solmeyer, A. R., Hostetler, M. L., Sakuma, K. L., Jones, D., & McHale, S. M. (2013). Siblings are special: Initial test of a new approach for preventing youth behavior problems. Journal of Adolescent Health, 53(2), 166–173. doi:10.1016/j.jadohealth.2012.10.004.PubMedCrossRefGoogle Scholar
  38. Fergusson, D. M., Horwood, L. J., & Ridder, E. M. (2007). Conduct and attentional problems in childhood and adolescence and later substance use, abuse and dependence: Results of a 25-year longitudinal study. Drug and Alcohol Dependence, 88, S14–S26. doi:10.1016/j.drugalcdep.2006.12.011.PubMedCrossRefGoogle Scholar
  39. Field, A. P. (2001). Meta-analysis of correlation coefficients: A Monte Carlo comparison of fixed-and random-effects methods. Psychological Methods, 6(2), 161–180. doi:10.1037/1082-989X.6.2.161.PubMedCrossRefGoogle Scholar
  40. Flory, K., Lynam, D., Milich, R., Leukefeld, C., & Clayton, R. (2004). Early adolescent through young adult alcohol and marijuana use trajectories: Early predictors, young adult outcomes, and predictive utility. Development and Psychopathology, 16(01), 193–213. doi:10.1017/S0954579404044475.PubMedCrossRefGoogle Scholar
  41. Gavin, L. E., Catalano, R. F., David-Ferdon, C., Gloppen, K. M., & Markham, C. M. (2010). A review of positive youth development programs that promote adolescent sexual and reproductive health. Journal of Adolescent Health, 46(3), S75–S91. doi:10.1016/j.jadohealth.2009.11.215.PubMedCrossRefGoogle Scholar
  42. *Gottfredson, D. C., Cross, A., Wilson, D., Rorie, M., & Connell, N. (2010). An experimental evaluation of the All Stars prevention curriculum in a community after school setting. Prevention Science, 11(2), 142–154. doi:10.1007/s11121-009-0156-7.PubMedCrossRefGoogle Scholar
  43. *Grossman, J. B., & Sipe, C. L. (1992). Summer Training and Education Program (STEP): Report on long-term impacts. Retrieved from http://ppv.issuelab.org/resource/report_on_long_term_impacts_step_program.
  44. *Grossman, J. B., & Tierney, J. P. (1998). Does mentoring work? An impact study of the Big Brothers Big Sisters program. Evaluation Review, 22(3), 403–426. doi:10.1177/0193841X9802200304.CrossRefGoogle Scholar
  45. Gunning, N., Jotangia, D., Nicholson, S., Ogunbadejo, T., Reilly, N., Simmonds, N., et al. (2010). Smoking, drinking and drug use among young people in England in 2009. London: Information Centre for Health and Social Care.Google Scholar
  46. *Hahn, A., Leavitt T., & Aaron P. (1994). Evaluation of the Quantum Opportunities Program (QOP). Did the program work? A report on the post secondary outcomes and cost-effectiveness of the QOP program (19891993). Retrieved from http://files.eric.ed.gov/fulltext/ED385621.pdf.
  47. Hale, D. R., & Viner, R. M. (2012). Policy responses to multiple risk behaviours in adolescents. Journal of Public Health, 34(suppl 1), i11–i19. doi:10.1093/pubmed/fdr112.PubMedCrossRefGoogle Scholar
  48. Hallfors, D., Cho, H., Brodish, P. H., Flewelling, R., & Khatapoush, S. (2006). Identifying high school students “at risk” for substance use and other behavioral problems: Implications for prevention. Substance Use and Misuse, 41(1), 1–15. doi:10.1080/10826080500318509.PubMedCrossRefGoogle Scholar
  49. Harden, A., Brunton, G., Fletcher, A., Oakley, A., Burchett, H., & Backhans, M. (2006). Young people, pregnancy and social exclusion: A systematic synthesis of research evidence to identify effective, appropriate and promising approaches for prevention and support. London: Institute of Education.Google Scholar
  50. Hawkins, J. D., Catalano, R. F., Kosterman, R., Abbott, R., & Hill, K. G. (1999). Preventing adolescent health-risk behaviors by strengthening protection during childhood. Archives of Pediatrics and Adolescent Medicine, 153(3), 226–234. doi:10.1001/archpedi.153.3.226.PubMedCrossRefGoogle Scholar
  51. Hedges, L. V., & Vevea, J. L. (1998). Fixed-and random-effects models in meta-analysis. Psychological methods, 3(4), 486–504. doi:10.1037/1082-989X.3.4.486.CrossRefGoogle Scholar
  52. Higgins, J. P., Altman, D. G., Gøtzsche, P. C., Jüni, P., Moher, D., Oxman, A. D., et al. (2011). The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ, 343, d5928. doi:10.1136/bmj.d5928.PubMedPubMedCentralCrossRefGoogle Scholar
  53. Higgins, J. P., & Green, S. (Eds.). (2009). Cochrane handbook for systematic reviews of interventions (Vol. 5.0.2). Chichester: Wiley-Blackwell.Google Scholar
  54. Higgins, J., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539–1558. doi:10.1002/sim.1186.PubMedCrossRefGoogle Scholar
  55. Hill, C. L., LaValley, M. P., & Felson, D. T. (2002). Discrepancy between published report and actual conduct of randomized clinical trials. Journal of Clinical Epidemiology, 55(8), 783–786. doi:10.1016/S0895-4356(02)00440-7.PubMedCrossRefGoogle Scholar
  56. HM Government (2010). Positive for youth: A new approach to cross-government policy for young people aged 1319. Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/175496/DFE-00133-2011.pdf.
  57. Hoffman, S. D., & Maynard, R. A. (2008). Kids having kids: Economic costs and social consequences of teen pregnancy. Washington DC: The Urban Institute.Google Scholar
  58. Jackson, C., Geddes, R., Haw, S., & Frank, J. (2012a). Interventions to prevent substance use and risky sexual behaviour in young people: A systematic review. Addiction, 107(4), 733–747. doi:10.1111/j.1360-0443.2011.03751.x.PubMedCrossRefGoogle Scholar
  59. Jackson, C., Sweeting, H., & Haw, S. (2012b). Clustering of substance use and sexual risk behaviour in adolescence: Analysis of two cohort studies. BMJ Open, 2(1), e000661. doi:10.1136/bmjopen-2011-000661.PubMedPubMedCentralCrossRefGoogle Scholar
  60. *Karcher, M. J. (2005). The effects of developmental mentoring and high school mentors’ attendance on their younger mentees’ self-esteem, social skills, and connectedness. Psychology in the Schools, 42(1), 65–77. doi:10.1002/pits.20025.CrossRefGoogle Scholar
  61. *Karcher, M. J., Davis, C, I. I. I., & Powell, B. (2002). The effects of developmental mentoring on connectedness and academic achievement. School Community Journal, 12(2), 35–50.Google Scholar
  62. Kipping, R. R., Campbell, R. M., MacArthur, G. J., Gunnell, D. J., & Hickman, M. (2012). Multiple risk behaviour in adolescence. Journal of Public Health, 34(suppl 1), i1–i2. doi:10.1093/pubmed/fdr122.PubMedCrossRefGoogle Scholar
  63. *Komro, K. A., Perry, C. L., Veblen-Mortenson, S., Farbakhsh, K., Toomey, T. L., Stigler, M. H., et al. (2008). Outcomes from a randomized controlled trial of a multi-component alcohol use preventive intervention for urban youth: Project Northland Chicago. Addiction, 103(4), 606–618. doi:10.1111/j.1360-0443.2007.02110.x.PubMedPubMedCentralCrossRefGoogle Scholar
  64. Komro, K. A., Perry, C. L., Williams, C. L., Stigler, M. H., Farbakhsh, K., & Veblen-Mortenson, S. (2001). How did Project Northland reduce alcohol use among young adolescents? Analysis of mediating variables. Health Education Research, 16(1), 59–70. doi:10.1093/her/16.1.59.PubMedCrossRefGoogle Scholar
  65. Larson, R. W. (2000). Towards a psychology of positive youth development. American Psychologist, 55, 170–183.PubMedCrossRefGoogle Scholar
  66. *LeCroy, C. W. (2004). Experimental evaluation of “Go Grrrl” preventive intervention for early adolescent girls. Journal of Primary Prevention, 25(4), 457–473. doi:10.1023/B:JOPP.0000048112.10700.89.CrossRefGoogle Scholar
  67. Lerner, R. M. (2006). Developmental science, developmental systems, and contemporary theories. In W. Damon, R. M. Lerner, & R. M. Lerner (Eds.), Handbook of child psychology, Vol. 1: Theoretical models of human development (6th ed., pp. 1–17). Hoboken, NJ: Wiley.Google Scholar
  68. Lipsey, m W, & Wilson, D. B. (2001). Practical meta-analysis (Vol. 49). Thousand Oaks, CA: Sage publications.Google Scholar
  69. *LoSciuto, L., Rajala, A. K., Townsend, T. N., & Taylor, A. S. (1996). An outcome evaluation of across ages: An intergenerational mentoring approach to drug prevention. Journal of Adolescent Research, 11(1), 116–129. doi:10.1177/0743554896111007.CrossRefGoogle Scholar
  70. Maguin, E., & Loeber, R. (1996). Academic performance and delinquency. Crime and Justice, 20, 145–264.CrossRefGoogle Scholar
  71. *Maxfield, M., Castner, L., Maralani, V., & Vencill, M. (2003). The Quantum Opportunity Program Demonstration: Implementation findings. Washington, DC: Mathematica Policy Research Inc.Google Scholar
  72. Maynard, R. A. (1996). Kids having kids: A special report on the cost of adolescent childbearing. New York: Robin Wood Foundation.Google Scholar
  73. McVie, S., & Bradshaw, P. (2005). Adolescent smoking, drinking and drug use. Centre for Law and Society: University of Edinburgh.Google Scholar
  74. Mirza, K. A. H., & Mirza, S. (2008). Adolescent substance misuse. Psychiatry, 7(8), 357–362. doi:10.1016/j.mppsy.2008.05.011.CrossRefGoogle Scholar
  75. Mistry, R., McCarthy, W. J., Yancey, A. K., Lu, Y., & Patel, M. (2009). Resilience and patterns of health risk behaviors in California adolescents. Preventive Medicine, 48(3), 291–297. doi:10.1016/j.ypmed.2008.12.013.PubMedCrossRefGoogle Scholar
  76. Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269. doi:10.7326/0003-4819-151-4-200908180-00135.PubMedCrossRefGoogle Scholar
  77. *Monahan, D., Greene, V. L., Ditmar, M., & Roloson, T. (2011). Effectiveness of an abstinence-only intervention sited in a neighborhood community center. Journal of Children and Poverty,. doi:10.1080/10796126.2011.532481.Google Scholar
  78. Morton, M., & Montgomery, P. (2011). Youth empowerment programs for improving self-efficacy and self-esteem of adolescents. Campbell Systematic Reviews, 7, 5.Google Scholar
  79. National Youth Agency (2007). The NYA Guide to Youth Work in England. Leicester: National Youth Agency. Retrieved from http://www.nya.org.uk/wp-content/uploads/2014/06/The_NYA_Guide_to_Youth_Work_and_Youth_Services.pdf.
  80. O’Donnell, L., San Doval, A., Duran, R., Haber, D., Atnafou, R., Piessens, P., et al. (2003). Reach for health: A school sponsored community youth service intervention for middle school students. Los Altos, CA: Sociometrics.Google Scholar
  81. *O’Donnell, L., Stueve, A., O’Donnell, C., Duran, R., San Doval, A., Wilson, R., et al. (2002). Long-term reductions in sexual initiation and sexual activity among urban middle schoolers in the Reach for Health service learning program. Journal of Adolescent Health, 31(1), 93–100. doi:10.1016/S1054-139X(01)00389-5.PubMedCrossRefGoogle Scholar
  82. O’Connell, M. E., Boat, T., & Warner, K. E. (Eds.). (2009). Preventing mental, emotional, and behavioral disorders among young people: Progress and possibilities. Washington: National Academies Press.Google Scholar
  83. O’Donnell, L., Stueve, A., San Doval, A., Duran, R., Haber, D., Atnafou, R., et al. (1999). The effectiveness of the Reach for Health Community Youth Service learning program in reducing early and unprotected sex among urban middle school students. American Journal of Public Health, 89(2), 176–181. doi:10.2105/AJPH.89.2.176.PubMedPubMedCentralCrossRefGoogle Scholar
  84. Overton, W. F. (2013). A new paradigm for developmental science: Relationism and relational-developmental systems. Applied Developmental Science, 17(2), 94–107.CrossRefGoogle Scholar
  85. Parkes, A., Wight, D., Henderson, M., & Hart, G. (2007). Explaining associations between adolescent substance use and condom use. Journal of Adolescent Health, 40(2), 180-e1. doi:10.1016/j.jadohealth.2006.09.012.CrossRefGoogle Scholar
  86. Parsonage, M. (2009). Diversion: A better way for criminal justice and mental health. London: Sainsbury Centre for Mental Health.Google Scholar
  87. Perry, C. L., Lee, S., Stigler, M. H., Farbakhsh, K., Komro, K. A., Gewirtz, A. H., et al. (2007). The impact of Project Northland on selected MMPI-A problem behavior scales. Journal of Primary Prevention, 28(5), 449–465.PubMedCrossRefGoogle Scholar
  88. Perry, C. L., Williams, C. L., Komro, K. A., Veblen-Mortenson, S., Forster, J. L., Bernstein-Lachter, R., et al. (2000). Project Northland high school interventions: Community action to reduce adolescent alcohol use. Health Education & Behavior, 27(1), 29–49. doi:10.1177/109019810002700105.CrossRefGoogle Scholar
  89. Perry, C. L., Williams, C. L., Komro, K. A., Veblen-Mortenson, S., Stigler, M. H., Munson, K. A., et al. (2002). Project Northland: Long-term outcomes of community action to reduce adolescent alcohol use. Health Education Research, 17(1), 117–132. doi:10.1093/her/17.1.117.PubMedCrossRefGoogle Scholar
  90. *Perry, C. L., Williams, C. L., Veblen-Mortenson, S., Toomey, T. L., Komro, K. A., Anstine, P. S., et al. (1996). Project Northland: Outcomes of a communitywide alcohol use prevention program during early adolescence. American Journal of Public Health, 86(7), 956–965. doi:10.2105/AJPH.86.7.956.PubMedPubMedCentralCrossRefGoogle Scholar
  91. Pettit, G. S., Laird, R. D., Bates, J. E., & Dodge, K. A. (1997). Patterns of after-school care in middle childhood: Risk factors and developmental outcomes. Merrill-Palmer Quarterly, 1982, 515–538.Google Scholar
  92. *Philliber, S., Kaye, J., & Herrling, S. (2001). The national evaluation of the Children’s Aid Society Carrera-Model Program to prevent teen pregnancy. Accord, NY: Philliber Research Associates.Google Scholar
  93. Philliber, S., Kaye, J. W., Herrling, S., & West, E. (2002). Preventing pregnancy and improving health care access among teenagers: An evaluation of the Children’s Aid Society-Carrera Program. Perspectives on Sexual and Reproductive Health, 34(5), 244–251. doi:10.2307/3097823.PubMedCrossRefGoogle Scholar
  94. Qiao, C., & McNaught, H. (2007). Evaluation of project K. Retrieved from Ministry of Social Development website http://thehub.superu.govt.nz/sites/default/files/40181_project_k_0.pdf.
  95. Resnick, M. D., Bearman, P. S., Blum, R. W., Bauman, K. E., Harris, K. M., Jones, J., et al. (1997). Protecting adolescents from harm: Findings from the National Longitudinal Study on Adolescent Health. JAMA, 278(10), 823–832. doi:10.1001/jama.1997.03550100049038.PubMedCrossRefGoogle Scholar
  96. *Reyna, V. F., & Mills, B. A. (2014). Theoretically motivated interventions for reducing sexual risk taking in adolescence: A randomized controlled experiment applying fuzzy-trace theory. Journal of Experimental Psychology: General, 143(4), 1627–1648. doi:10.1037/a0036717.CrossRefGoogle Scholar
  97. Rhodes, J. E., Reddy, R., & Grossman, J. B. (2005). The protective influence of mentoring on adolescents’ substance use: Direct and indirect pathways. Applied Developmental Science, 9(1), 31–47. doi:10.1207/s1532480xads0901_4.CrossRefGoogle Scholar
  98. Rhodes, J. E., Reddy, R., Grossman, J. B., & Maxine Lee, J. (2002). Volunteer mentoring relationships with minority youth: An analysis of same-versus cross-race matches. Journal of Applied Social Psychology, 32(10), 2114–2133. doi:10.1111/j.1559-1816.2002.tb02066.x.CrossRefGoogle Scholar
  99. Rodríguez-Planas, N. (2010). Longer-term impacts of mentoring, educational services, and incentives to learn: Evidence from a randomized trial in the United States. Bonn, Institute for the Stud of Labor. Retrieved from ftp.iza.org/dp4754.pdf.
  100. Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638–641. doi:10.1037/0033-2909.86.3.638.CrossRefGoogle Scholar
  101. Roth, J. L., & Brooks-Gunn, J. (2003a). What exactly is a youth development program? Answers from research and practice. Applied Developmental Science, 7, 94–111.CrossRefGoogle Scholar
  102. Roth, J. L., & Brooks-Gunn, J. (2003b). Youth development programs: Risk, prevention and policy. Journal of Adolescent Health, 32(3), 170–182.PubMedCrossRefGoogle Scholar
  103. Roth, J. L., & Brooks-Gunn, J. (2016). Evaluating youth development programs: Progress and promise. Applied Developmental Science, 20(3), 188–202. doi:10.1080/10888691.2015.1113879.PubMedCrossRefGoogle Scholar
  104. Roth, J., Brooks-Gunn, J., Murray, L., & Foster, W. (1998). Promoting healthy adolescents: Synthesis of youth development program evaluations. Journal of Research on Adolescence, 8(4), 423–459. doi:10.1207/s15327795jra0804_2.CrossRefGoogle Scholar
  105. Scales, P. C., Benson, P. L., Oesterle, S., Hill, K. G., Hawkins, J. D., & Pashak, T. J. (2016). The dimensions of successful young adult development: A conceptual and measurement framework. Applied Developmental Science, 20(3), 150–174.CrossRefGoogle Scholar
  106. Schirm, A., & Rodriguez-Planas, N. (2004). The Quantum Opportunity Program demonstration: Initial post-intervention impacts. Washington, DC: Mathematica Policy Research Inc.Google Scholar
  107. Schirm, A., Rodriguez-Planas, N., Maxfield, M., & Tuttle, C. (2003). The Quantum Opportunity Program demonstration: Short-term impacts. Washington, DC: Mathematica Policy Research Inc.Google Scholar
  108. Scott, S., Knapp, M., Henderson, J., & Maughan, B. (2001). Financial cost of social exclusion: Follow up study of antisocial children into adulthood. BMJ, 323(7306), 191. doi:10.1136/bmj.323.7306.191.PubMedPubMedCentralCrossRefGoogle Scholar
  109. Scottish Government. (2009). Valuing Young people: Principles and connections to support young people achieve their potential. Edinburgh: Scottish Government.Google Scholar
  110. Shepherd, J., Kavanagh, J., Picot, J., Cooper, K., Harden, A., Barnett-Page, E., et al. (2010). The effectiveness and cost-effectiveness of behavioural interventions for the prevention of sexually transmitted infections in young people aged 13–19: A systematic review and economic evaluation. Health Technology Assessment, 14(7), 1–230. doi:10.3310/hta14070.CrossRefGoogle Scholar
  111. Spencer, M. B., & Spencer, T. R. (2014). Exploring the promises, intricacies and challenges to positive youth development. Journal of Youth and Adolescence, 43, 1027–1035.PubMedCrossRefGoogle Scholar
  112. Steinberg, L. (2004). Risk taking in adolescence: What changes, and why? Annals of the New York Academy of Sciences, 1021(1), 51–58. doi:10.1196/annals.1308.005.PubMedCrossRefGoogle Scholar
  113. Sterne, J. A., & Egger, M. (2001). Funnel plots for detecting bias in meta-analysis: Guidelines on choice of axis. Journal of Clinical Epidemiology, 54(10), 1046–1055. doi:10.1016/S0895-4356(01)00377-8.PubMedCrossRefGoogle Scholar
  114. Stigler, M. H., Perry, C. L., Komro, K. A., Cudeck, R., & Williams, C. L. (2006). Teasing apart a multiple component approach to adolescent alcohol prevention: What worked in Project Northland? Prevention Science, 7(3), 269–280.PubMedCrossRefGoogle Scholar
  115. Tierney, J.P., Grossman, J., & Resch, N. (1995). Making a difference: An impact study of big brother big sisters. Philadephia, CA, Public/Private Ventures. Retrieved from http://www.ppv.org/ppv/publications/assets/111_publication.pdf.
  116. Tolan, P. (2016). Positive youth development interventions: Advancing evaluation theory and practice. Applied Developmental Science, 20(3), 147–149. doi:10.1080/10888691.2015.1014485.CrossRefGoogle Scholar
  117. Tolan, P. H., Guerra, N. G., & Kendall, P. C. (1995). A developmental-ecological perspective on anti-social behaviour in children and adolescents: Toward a unified risk and intervention framework. Journal of Consulting and Clinical Psychology, 63(4), 579–584. doi:10.1037/0022-006X.63.4.579.PubMedCrossRefGoogle Scholar
  118. Trenholm, C., Devaney, B., Fortson, K., Clark, M., Quay, L., & Wheeler, J. (2008). Impacts of abstinence education on teen sexual activity, risk of pregnancy, and risk of sexually transmitted diseases. Journal of Policy Analysis and Management, 27(2), 255–276. doi:10.1002/pam.20324.PubMedCrossRefGoogle Scholar
  119. *Trenholm, C., Devaney, B., Fortson, K., Quay, K., Wheeler, J., & Clark, M. (2007). Impacts of Four Title V, Section 510 Abstinence Education Programs. Final Report. Department of Health and Human Services, US, Mathematica Policy Research, Inc.Google Scholar
  120. Walker G., & Vilella-Velez, F (1992). Testing the model. In: Anatomy of a demonstration: The Summer Training and Education Program (STEP) from pilot through replication and post program impacts. Philadelphia, PA: Public/Private Ventures.Google Scholar
  121. Walker G., & Vilella-Velez, F. (1992). Long-term impacts. In: Anatomy of a demonstration: The Summer Training and Education Program (STEP) from pilot through replication and post program impacts. Philadelphia, PA: Public/Private Ventures.Google Scholar
  122. Wellings, K., Nanchahal, K., Macdowall, W., McManus, S., Erens, B., Mercer, C. H., et al. (2001). Sexual behaviour in Britain: Early heterosexual experience. The Lancet, 358(9296), 1843–1850. doi:10.1016/S0140-6736(01)06885-4.CrossRefGoogle Scholar
  123. *West, B., Abatemarco, D., Ohman-Strickland, P. A., Zec, V., Russo, A., & Milic, R. (2008). Project Northland in Croatia: Results and lessons learned. Journal of Drug Education, 38(1), 55–70. doi:10.2190/DE.38.1.e.PubMedCrossRefGoogle Scholar
  124. Wheeler, S. B. (2010). Effects of self-esteem and academic performance on adolescent decision-making: An examination of early sexual intercourse and illegal substance use. Journal of Adolescent Health, 47(6), 582–590. doi:10.1016/j.jadohealth.2010.04.009.PubMedCrossRefGoogle Scholar
  125. Wiefferink, C. H., Peters, L., Hoekstra, F., Ten Dam, G., Buijs, G. J., & Paulussen, T. G. (2006). Clustering of health-related behaviors and their determinants: Possible consequences for school health interventions. Prevention Science, 7(2), 127–149.PubMedCrossRefGoogle Scholar
  126. World Health Organisation. (2014). Global status report on health and alcohol. Geneva: Switzerland, World Health Organization.Google Scholar
  127. Zief, S. G., Lauver, S., & Maynard, R. A. (2006). Impacts of after-school programs on student outcomes: A systematic review. Campbell Systematic Reviews,. doi:10.4073/csr.2006.3.Google Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Sexual Health and Blood Borne Virus Team, Kings Cross HospitalNHS TaysideDundeeUK
  2. 2.School of Natural SciencesUniversity of StirlingStirlingUK
  3. 3.Area Psychological Therapies ServiceNHS TaysideDundeeUK
  4. 4.Psychology Department, Stratheden HospitalNHS FifeCupar, FifeScotland

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