An Online Drug Abuse Prevention Program for Adolescent Girls: Posttest and 1-Year Outcomes
Early adolescent girls’ rates of drug use have matched, and in some instances, surpassed boys’ rates. Though girls and boys share risk factors for drug use, girls also have gender-specific risks. Tailored interventions to prevent girls’ drug use are warranted. This study developed and tested a web-based, drug abuse prevention program for adolescent girls. The nationwide sample of 13- and 14-year-old girls (N = 788) was recruited via Facebook ads. Enrolled girls were randomly assigned to the intervention or control condition. All girls completed pretest measures online. Following pretest, intervention girls interacted with the 9-session, gender-specific prevention program online. The program aimed to reduce girls’ drug use and associated risk factors by improving their cognitive and behavioral skills around such areas as coping with stress, managing mood, maintaining a healthy body image, and refusing drug use offers. Girls in both conditions again completed measures at posttest and 1-year follow-up. At posttest, and compared to girls in the control condition, girls who received the intervention smoked fewer cigarettes and reported higher self-esteem, goal setting, media literacy, and self-efficacy. At 1-year follow-up, and compared to girls in the control condition, girls who received the intervention reported engaging in less binge drinking and cigarette smoking; girls assigned to the intervention condition also had higher alcohol, cigarette, and marijuana refusal skills, coping skills, and media literacy and lower rates of peer drug use. This study’s findings support the use of tailored, online drug abuse prevention programming for early adolescent girls.
KeywordsFemale Adolescent Drug abuse Prevention Intervention Online
- Anker, J. J., & Carroll, M. E. (2011). Females are more vulnerable to drug abuse than males: Evidence from preclinical studies and the role of ovarian hormones. In J. C. Neill & J. Kulkarni (Eds.), Biological basis of sex differences in psychopharmacology (pp. 73–96). Berlin, Germany: Springer-Verlag.Google Scholar
- Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
- Cash, T. (2000). The multidimensional body self relations questionnaire. Virginia, VA: Old Dominion University.Google Scholar
- Catalano, R. F., Haggerty, K. P., Hawkins, J. D., & Elgin, J. (2011). Prevention of substance use and substance use disorders: The role of risk and protective factors. In Y. Kaminer & K. C. Winters (Eds.), Clinical manual of adolescent substance abuse treatment (pp. 25–63). Washington, DC: American Psychiatric Publishing.Google Scholar
- Centers for Disease Control and Prevention. (2005). Youth Risk Behavior Survey. http://www.cdc.gov/YRBSS.
- Centers for Disease Control and Prevention. (2013). Methodology of the youth risk behavior surveillance system—2013. Morbidity and Mortality Weekly Report, 62(RR01), 1–23. https://www.cdc.gov/mmwr/preview/mmwrhtml/rr6201a1.htm.Google Scholar
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences. 2nd edn. Hillsdale, NJ: Erlbaum.Google Scholar
- Derogatis, L. R. (1993). Brief Symptom Inventory (BSI): Administration, scoring, and procedure manual (4th ed.). Minneapolis, MN: National Computer Systems Pearson.Google Scholar
- Elliot, D. L., Goldberg, L., Moe, E. L., DeFrancesco, C. A., Durham, M. B., McGinnis, W., & Lockwood, C. (2008). Long-term outcomes of the ATHENA (Athletes Targeting Health Exercise & Nutrition Alternatives) program for female high school athletes. Journal of Alcohol and Drug Education, 52, 73–92.PubMedPubMedCentralGoogle Scholar
- Haas, A. L., Barthel, J. M., & Taylor, S. (2016). Sex and drugs and starting school: Differences in precollege alcohol-related sexual risk taking by gender and recent blackout activity. The Journal of Sex Research, 54, 741–751. doi:10.1080/00224499.2016.1228797.
- Hodder, R. K., Freund, M., Wolfenden, L., Bowman, J., Nepal, S., Dray, J., et al. (2017). Systematic review of universal school-based ‘resilience’ interventions targeting adolescent tobacco, alcohol or illicit substance use: A meta-analysis. Preventive Medicine, 100, 248–268.CrossRefPubMedGoogle Scholar
- Johnston, L. D., O’Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2016a). Demographic subgroup trends among adolescents in the use of various licit and illicit drugs, 1975–2015 (Monitoring the Future Occasional Paper No. 86). Ann Arbor, MI: Institute for Social Research, University of Michigan.Google Scholar
- Johnston, L. D., O’Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2016b). Monitoring the Future national survey results on drug use, 1975–2015: Overview, key findings on adolescent drug use. Ann Arbor: Institute for Social Research, The University of Michigan.Google Scholar
- Masten, A. S., & Powell, J. L. (2003). A resilience framework for research, policy, and practice. In S. S. Luthar (Ed.), Resilience and vulnerability: Adaptation in the context of childhood adversities (pp. 1–28). New York, NY: Cambridge University Press.Google Scholar
- NIDA. (2016). Substance Use in Women. https://www.drugabuse.gov/publications/research-reports/substance-use-in-women.
- Rosenberg, M. (1989). Society and the adolescent self-image. Princeton, NJ: Princeton University Press.Google Scholar
- Schwarzer, R., & Jerusalem, M. (1995). Generalized self-sfficacy scale. In J. Weinman, S. Wright & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35–37). Windsor, UK: NFER-Nelson.Google Scholar
- U.S. Department of Health and Human Services. (2014). The health consequences of smoking—50 yearsof progress: A report of the Surgeon General. Atlanta, GA: 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. https://www.surgeongeneral.gov/library/reports/50-years-of-progress/exec-summary.pdf.
- Wechsberg, W. M., Deren, S., Myers, B., Kirtadze, I., Zule, W. A., Howard, B., & El-Bassel., N. (2015). Gender-specific HIV prevention interventions for women who use alcohol and other drugs: State of the science and future directions. Journal of Acquired Immune Deficiency Syndromes, 69, 128–139.CrossRefGoogle Scholar
- Weiss, F. L., & Nicholson, H. J. (1998). Friendly PEERsuasion against substance abuse: The Girls Incorporated model and evaluation. In J. Valentine, J. A. De Jonc & N. J. Kennedy (Eds.), Substance abuse prevention in multicultural communities. New York, NY: Haworth Press.Google Scholar
- Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression models for count data in R. Journal of Statistical Software, 27, 1–25.Google Scholar