Effectiveness of Fresh Start: A Randomized Study of a School-Based Program to Retain a Negative Attitude Toward Substance Use in Secondary School Freshmen

References

• Abraham, C., & Sheeran, P. (2005). The health belief model. In M. Conner & P. Norman (Eds.), Predicting health behaviour: Research and practice with social cognition models (2nd ed., pp. 28–80). Maidenhead: Open University Press.
   Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. doi:10.1016/0749-5978(91)90020-T.
   Google Scholar
• Andrews, J. A., & Duncan, S. C. (1998). The effect of attitude on the development of adolescent cigarette use. Journal of Substance Abuse, 10(1), 1–7. doi:10.1016/S0899-3289(99)80135-7.
   Google Scholar
• Bahr, S. J., Hoffmann, J. P., & Yang, X. (2005). Parental and peer influences on the risk of adolescent drug use. The Journal of Primary Prevention, 26, 529–551. doi:10.1007/s10935-005-0014-8.
   Google Scholar
• Behrendt, S., Wittchen, H. U., Höfler, M., Lieb, R., Ping Low, N. C., Rehm, J., & Beesdo, K. (2008). Risk and speed of transitions to first alcohol dependence symptoms in adolescents: A 10-source longitudinal community study in Germany. Addiction, 103, 1638–1647. doi:10.1111/j.1360-0443.2008.02324.x.
   Google Scholar
• Champion, V. L., & Skinner, C. S. (2008). The health belief model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior and health education: Theory, research, and practice (pp. 45–65). San Francisco: Jossey-Bass.
   Google Scholar
• Christie, D., & Viner, R. (2005). Adolescent development. British Medical Journal, 330, 301–304. doi:10.1136/bmj.330.7486.301.
   Google Scholar
• Cohen, J. A. (1992). A power primer. Psychological Bulletin, 112, 155–159. doi:10.1037/0033-2909.112.1.155.
   Google Scholar
• de Looze, M., van Dorsselaer, S., de Roos, S., Verdurmen, J., Stevens, G., Gommans, R., … Vollenbergh, W. (2014a). HBSC 2013. Gezondheid, welzijn en opvoeding van jongeren in Nederland. Utrecht: Trimbos-instituut.
   Google Scholar
• de Looze, M., Vermeulen-Smit, E., Ter Bogt, T. F., van Dorsselaer, S. A., Verdurmen, J., Schulten, I., … Vollebergh, W. A. (2014b). Trends in alcohol-specific parenting practices and adolescent alcohol use between 2007 and 2011 in the Netherlands. International Journal of Drug Policy, 25(1), 133–141. doi:10.1016/j.drugpo.2013.09.007.
   Google Scholar
• Eldridge, S. M., Ashby, D., & Kerry, S. (2006). Sample size for cluster randomized trials: Effect of coefficient of variation of cluster size and analysis method. International Journal of Epidemiology, 35, 1292–1300. doi:10.1093/ije/dyl129.
   Google Scholar
• European Monitoring Centre for Drugs and Drug Addiction. (2016). ESPAD Report 2015. results from the european school survey and other drugs. Lisbon: EMCDDA.
   Google Scholar
• Faggiano, F., Vigna-Taglianti, F. D., Versino, E., Zambon, A., Borraccino, A., & Lemma, P. (2005). School-based prevention for illicit drugs' use. Cochrane Database of Systematic Reviews, 18(2), 1–97. doi:10.1002/14651858.CD003020.pub2.
   Google Scholar
• Feingold, A. (2013). A regression framework for effect size assessments in longitudinal modeling of group differences. Review of General Psychology, 17, 111–121. doi:10.1037/a0030048.
   Google Scholar
• Forehand, R., & Wierson, M. (1993). The role of developmental factors in planning behavioral interventions for children: Disruptive behavior as an example. Behavior Therapy, 24, 117–141. doi:10.1016/S0005-7894(05)80259-X.
   Google Scholar
• Foxcroft, D. R., & Tsertsvadze, A. (2011). Universal school-based prevention programs for alcohol misuse in young people. Cochrane Database of Systematic Reviews, 11(5), 1–121. doi:10.1002/14651858.cd009113.
   Google Scholar
• Hanna, E. Z., Yi, H. Y., Dufour, M. C., & Whitmore, C. C. (2001). The relationship of early onset regular smoking to alcohol use, depression, illicit drug use, and other risky behaviors during early adolescence: Results from the youth supplement to the third national health and nutrition examination survey. Journal of Substance Abuse, 13, 265–282. doi:10.1016/S0899-3289(01)00077-3.
   Google Scholar
• Helms, S. W., Choukas-Bradley, S., Widman, L., Giletta, M., Cohen, G. L., & Prinstein, M. J. (2014). Adolescents misperceive and are influenced by high-status peers’ health risk, deviant, and adaptive behavior. Developmental Psychology, 50, 2697–2714. doi:10.1037/a0038178.
   Google Scholar
• Henry, D. B., Kobus, K., & Schoeny, M. E. (2011). Accuracy and bias in youths' perceptions of friends' substance use. Psychology of Addictive Behaviors, 25, 80–89. doi:10.1037/a0021874.
   Google Scholar
• Janssen, M. M. (2014). Social marketing in alcohol prevention. Intervention development for adolescents. Dongen: Ipskamp drukkers.
   Google Scholar
• Koning, I. M., Vollebergh, W. A. M., Smit, F., Verdurmen, J. E. E., Van den Eijnden, R. J. J. M., Ter Bogt, T. F. M., … Engels, R. C. M. E. (2009). Preventing heavy alcohol use in adolescents (PAS): Cluster randomized trial of a parent and student intervention offered separately and simultaneously. Addiction, 104, 1669–1678. doi:10.1111/j.1360-0443.2009.02677.x.
   Google Scholar
• Kosterman, R., Hawkins, J. D., Guo, J., Catalano, R. F., & Abbott, R. D. (2000). The dynamics of alcohol and marijuana initiation: Patterns and predictors of first use in adolescence. American Journal of Public Health, 90, 360–366. doi:10.2105/AJPH.90.3.360.
   Google Scholar
• Masten, A. S., Faden, V. B., Zucker, R. A., & Spear, L. P. (2008). Underage drinking: A developmental framework. Pediatrics, 121, 235–251. doi:10.1542/peds.2007-2243A.
   Google Scholar
• Mathijssen, J., Janssen, M., Van Bon-Martens, M., & Van de Goor, I. (2012). Adolescents and alcohol: An explorative audience segmentation analysis. BMC Public Health, 12, 742. doi:10.1186/1471-2458-12-742.
   Google Scholar
• Norberg, M. M., Kezelman, S., & Lim-Howe, N. (2013). Primary prevention of cannabis use: A systematic review of randomized controlled trials. PloS One, 8, e53187. doi:10.1371/journal.pone.0053187.
   Google Scholar
• Onrust, S. A., Otten, R., Lammers, J., & Smit, F. (2016). School-based programmes to reduce and prevent substance use in different age groups: What works for whom? Systematic review and meta-regression analysis. Clinical Psychology Review, 44, 45–59. doi:10.1016/j.cpr.2015.11.002.
   Google Scholar
• Perkins, H. W., & Berkowitz, A. D. (1986). Perceiving the community norms of alcohol use among students: Some research implications for campus alcohol education programming. International Journal of the Addictions, 21, 961–976. doi:10.3109/10826088609077249.
   Google Scholar
• Prochaska, J. O., & Diclemente, C. C. (1982). Transtheoretical therapy: Toward a more integrative model of change. Psychotherapy: Theory, Research and Practice, 19, 276–278. doi:10.1037/h0088437.
   Google Scholar
• U.S. Department of Health and Human Services. (2014). The Health Consequences of Smoking—50 Sources of Progress: A Report of the Surgeon General. Atlanta: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.
   Google Scholar
• Vadrucci, S., Vigna-Taglianti, F. D., van der Kreeft, P., Vassara, M., Scatigna, M., Faggiano, F., & Burkhart, G. (2016).& the EU-DAP Study Group. The theoretical model of the school-based prevention programme Unplugged. Global Health Promotion, 23, 49–58. doi:10.1177/1757975915579800.
   Google Scholar
• van Dorsselaer, S., Tuithof, M., Verdurmen, J., Spit, M., van Laar, M., & Monshouwer, K. (2016). Jeugd en riskant gedrag 2015. Kerngegevens uit het Peilstationsonderzoek Scholieren. Utrecht: Trimbos-instituut.
   Google Scholar
• Varlinskaya, E. I., Vetter-O'Hagen, C. S., & Spear, L. P. (2013). Puberty and gonadal hormones: Role in adolescent-typical behavioral alterations. Hormones and behavior, 64, 343–349. doi:10.1016/j.yhbeh.2012.11.012.
   Google Scholar