Skip to main content

Advertisement

Log in

Preventing Drug Abuse Among Adolescent Girls: Outcome Data from an Internet-Based Intervention

  • Published:
Prevention Science Aims and scope Submit manuscript

Abstract

This study developed and tested an Internet-based gender-specific drug abuse prevention program for adolescent girls. A sample of seventh, eighth, and ninth grade girls (N = 236) from 42 states and 4 Canadian provinces were randomly assigned to an intervention or control group. All girls completed an online pretest battery. Following pretest, intervention girls interacted with a 12-session, Internet-based gender-specific drug prevention program. Girls in both groups completed the measurement battery at posttest and 6-month follow-up. Analysis of posttest scores revealed no differences between groups for 30-day reports of alcohol, marijuana, poly drug use, or total substance use (alcohol and drugs). At 6-month follow-up, between-group effects were found on measures of 30-day alcohol use, marijuana use, poly drug use, and total substance use. Relative to girls in the control group, girls exposed to the Internet-based intervention reported lower rates of use for these substances. Moreover, girls receiving the intervention achieved gains over girls in the control group on normative beliefs and self-efficacy at posttest and 6-month follow-up, respectively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavior change. Psychological Review, 84, 191–215.

    Article  CAS  PubMed  Google Scholar 

  • Blake, S. M., Amaro, H., Schwartz, P. M., & Flinchbaugh, L. J. (2001). A review of substance abuse prevention programs for young adolescent girls. Journal of Early Adolescence, 21, 294–324.

    Article  Google Scholar 

  • Borzekowski, D. L. G., & Rickert, V. I. (2001). Adolescents, the internet, and health issues of access and content. Applied Developmental Psychology, 22, 49–59.

    Article  Google Scholar 

  • Bosworth, K., Gustafson, D. H., & Hawkins, R. P. (1994). The BARN System: Use and impact of adolescent health promotion via computer. Computers in Human Behavior, 10, 467–482.

    Article  Google Scholar 

  • Botvin, G. J., Schinke, S. P., Epstein, J. A., Diaz, T., & Botvin, E. J. (1994). Effectiveness of culturally-focused and generic skills training approaches to alcohol and drug abuse prevention among minority youths. Psychology of Addictive Behaviors, 8, 116–127.

    Article  Google Scholar 

  • Centers for Disease Control and Prevention. (2004). Methodology of the youth risk behavior surveillance system. Morbidity and Mortality Weekly Report, 53(RR12), 1–13. Retrieved February 20, 2009, from http://www.cdc.gov/mmwr/preview/mmwrhtml/rr5312a1.htm.

  • Centers for Disease Control and Prevention. (2005). Youth Risk Behavior Survey. Retrieved February 20, 2009, from http://www.cdc.gov/healthyyouth/yrbs/.

  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.

    Article  CAS  PubMed  Google Scholar 

  • DeMaso, D. R., Marcus, N. E., Kinnamon, C., & Gonzalez-Heydrich, J. (2006). Depression experience journal: A computer-based intervention for families facing childhood depression. Journal of the American Academy of Child & Adolescent Psychiatry, 45, 158–165.

    Article  Google Scholar 

  • Di Noia, J., Schinke, S. P., Pena, J. B., & Schwinn, T. M. (2004). Evaluation of a brief computer-mediated intervention to reduce HIV risk among early adolescent females. Journal of Adolescent Health, 35, 62–64.

    PubMed  Google Scholar 

  • Elliot, D. L., Goldberg, L., Moe, E., Duncan, T., DeFrancesco, C., & Durham, M. (2002). ATHENA: Deterring drug use and disordered eating. Journal of Investigative Medicine, 50, 66A.

    Google Scholar 

  • Fearnow-Kenney, M., Hansen, W. B., & McNeal Jr., R. B. (2002). Comparison of psychosocial influences on substance use in adolescents: implications for prevention programming. Journal of Child and Adolescent Substance Abuse, 11(4), 1–24.

    Article  Google Scholar 

  • Graves, K. L., & Leigh, B. L. (1995). The relationship of substance use to sexual activity among young adults in the United States. Family Planning Perspectives, 27, 18–33.

    Article  CAS  PubMed  Google Scholar 

  • Hansen, W. B. (1992). School-based substance abuse prevention: A review of the state of the art in curriculum, 1908–1990. Health Education Research, 7, 403–430.

    Article  CAS  PubMed  Google Scholar 

  • Hansen, W. B, & McNeal Jr., R. B (2001). Self-initiated cessation from substance use: A longitudinal study of the relationship between postulated mediators and quitting. Journal of Drug Issues, 31, 957–974.

    Google Scholar 

  • Haerens, L., Deforche, B., Vandelanotte, C., Maes, L., & De Bourdeaudhuij, I. (2007). Acceptability, feasibility and effectiveness of a computer-tailored physical activity intervention in adolescents. Patient Education and Counseling, 66, 303–310.

    Article  PubMed  Google Scholar 

  • Horrigan, J. B. (July 2008). Home broadband adoption 2008. Pew Internet & American Life Project. Retrieved February 17, 2009, from http://www.pewinternet.org/PPF/r/257/report_display.asp.

  • Jernigan, D. H., Ostroff, J., Ross, C., & O’Hara, J. A. (2004). Sex differences in adolescent exposure to alcohol advertising in magazines. Archives of Pediatrics & Adolescent Medicine, 158, 629–634.

    Article  Google Scholar 

  • Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2007). Monitoring the Future national results on adolescent drug use: Overview of key findings, 2006 (NIH Publication no. 07-6202). Bethesda, MD: National Institute on Drug Abuse.

    Google Scholar 

  • Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2005). Monitoring the Future national survey results on drug use, 1975–2004: Volume I, Secondary school students (NIH Publication No. 05–5727). Bethesda, MD: National Institute on Drug Abuse.

    Google Scholar 

  • Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2006). Demographic subgroup trends for various licit and illicit drugs, 1975–2005. (Monitoring the Future Occasional Paper No. 63). Ann Arbor, MI: Institute for Social Research.

    Google Scholar 

  • Mendelson, B. K., White, D. R., & Mendelson, M. J. (1998). Manual for the body esteem scale for adolescents and adults. Montréal: Concordia University.

    Google Scholar 

  • Naimi, T. S., Lipscomb, L. E., Brewer, R. D., & Gilbert, B. C. (2003). Binge drinking in the preconception period and the risk of unintended pregnancy: Implications for women and their children. Pediatrics, 111, 1136–1141.

    PubMed  Google Scholar 

  • Nation, M., Crusto, C. A., Wandersman, A., Kumpfer, K. L., Seybolt, D., et al. (2003). What works in prevention: Principles of effective prevention programs. American Psychologist, 58, 449–456.

    Article  PubMed  Google Scholar 

  • National Institute on Drug Abuse. (March 2006). NIDA INFO Facts. US Department of Health and Human Services. Retrieved February 20, 2009, from http://www.drugabuse.gov/pdf/infofacts/HSYouthTrends06.pdf.

  • Pallonen, U. E., Velicer, W. F., Prochaska, J. O., Rossi, J. S., Bellis, J. M., Tsoh, J. Y., et al. (1998). Computer-based smoking cessation interventions in adolescents: Description, feasibility and six month follow-up findings. Substance Abuse and Misuse, 33, 935–965.

    Article  CAS  Google Scholar 

  • Poulin, C., & Graham, L. (2001). The association between substance use, unplanned sexual intercourse and other sexual behaviours among adolescent students. Addiction, 96, 607–621.

    Article  CAS  PubMed  Google Scholar 

  • Ridenour, T. A., Lanza, S. T., Donny, E. C., & Clark, D. B. (2006). Different lengths of times for progressions in adolescent substance involvement. Addictive Behaviors, 31, 962–983.

    Article  PubMed  Google Scholar 

  • Rhodes, S. D., Bowie, D. A., & Hergenrather, K. C. (2003). Collecting behavioural data using the World Wide Web: Considerations for researchers. Journal of Epidemiology and Community Health, 57, 68–73.

    Article  CAS  PubMed  Google Scholar 

  • Rotheram-Borus, M. J. (2000). Expanding the range of interventions to reduce HIV among adolescents. AIDS, 14, S33–S40.

    Article  PubMed  Google Scholar 

  • Schinke, S. P., Di Noia, J., & Glassman, J. R. (2004). Computer-mediated intervention to prevent drug abuse and violence among high-risk youth. Addictive Behaviors, 29, 225–229.

    Article  PubMed  Google Scholar 

  • Schinke, S. P., Moncher, M. S., & Singer, B. R. (1994). Native American youths and cancer risk reduction: Effects of software intervention. Journal of Adolescent Health, 15, 105–110.

    Article  CAS  PubMed  Google Scholar 

  • Schinke, S. P., & Schwinn, T. M. (2005). Gender-specific computer-based intervention for preventing drug abuse among girls. American Journal of Drug and Alcohol Abuse, 31, 609–616.

    Article  PubMed  Google Scholar 

  • Schinke, S. P., Schwinn, T. M., & Cole, K. (2006). Preventing alcohol abuse among early adolescents through family and computer-based interventions: Four-year outcomes and mediating variables. Journal of Developmental and Physical Disabilities, 18, 149–161.

    Article  PubMed  Google Scholar 

  • Schinke, S. P., Schwinn, T. M., Di Noia, J., & Cole, K. C. (2004). Reducing the risks of alcohol use among urban youth: 3-year effects of a computer-based intervention with and without parent involvement. Journal of Studies on Alcohol, 65, 443–450.

    PubMed  Google Scholar 

  • Thalheimer, W., & Cook, S. (2002, August). How to calculate effect sizes from published research articles: A simplified methodology. Retrieved February 20, 2009, from http://work-learning.com/effect_sizes.htm.

  • Tobler, N. S., & Stratton, H. H. (1997). Effectiveness of school-based drug prevention programs: A meta-analysis of research. The Journal of Primary Prevention, 18, 71–128.

    Article  Google Scholar 

  • Valois, R. F., Oeltmann, J. E., Waller, J., & Hussey, J. R. (1999). Relationship between number of sexual intercourse partners and selected health risk behaviors among public high school adolescents. Journal of Adolescent Health, 25, 328–335.

    Article  CAS  PubMed  Google Scholar 

  • Wallace, J. M., Bachman, J. G., O’Malley, P. M., Schutenberg, J. E., Cooper, S. M., & Johnston, L. D. (2003). Gender and ethnic differences in smoking, drinking and illicit drug use among American 8th, 10th, and 12th grade students, 1976–2000. Addiction, 8, 225–234.

    Article  Google Scholar 

  • Werch, C., Jobli, E. C., Moore, M. J., DiClemente, C. C., Dore, H. S., & Hendricks Brown, C. (2006). Do alcohol consumption patterns of adolescents differ by beverage type? Journal of Child and Adolescent Substance Abuse, 15, 45–62.

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by National Institute on Drug Abuse Grant DA13305. We also thank Berlin Productions, Inc. for their technical support of the RealTeen program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Traci M. Schwinn.

Additional information

Supported by funding from Grant DA13305 from the National Institute on Drug Abuse.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schwinn, T.M., Schinke, S.P. & Di Noia, J. Preventing Drug Abuse Among Adolescent Girls: Outcome Data from an Internet-Based Intervention. Prev Sci 11, 24–32 (2010). https://doi.org/10.1007/s11121-009-0146-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11121-009-0146-9

Keywords

Navigation