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Associations Between Changing Developmental Contexts and Risky Sexual Behavior in the Two Years Following High School

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Abstract

The present study tested associations between common developmental contexts (relationship involvement, independent living, college attendance, work) and risky sexual behavior (casual sex, inconsistent condom use, high-risk sex) across the 2 years following high school. Data were drawn from the Raising Healthy Children project, and included 801 participants aged 18–21 years. Longitudinal analyses, which controlled for early sexual debut, high school substance use, and high school grades, showed that living with a parent was protective against all three sexual risk behavior outcomes (ORs about 0.70). Being in a romantic relationship was associated with a lower probability of casual sex, but a higher probability of inconsistent condom use. Attending college was associated with a lower probability of high-risk sex (OR = 0.67). Working was not related to the sexual risk behaviors examined. Levels of sexual risk behavior showed little change across the 2 years following high school. Findings from this study suggest that developmental context may affect young adults’ engagement in risky sexual behavior. Programs aimed at promoting sexual health and reducing risk behaviors for STIs among young adults should consider targeting those in romantic relationships, those not living with parents, and those not attending college. Further, to develop effective prevention programs for these targeted youth, it is critical that we understand the mechanisms leading to risky sex in these groups.

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Notes

  1. The imputation model included 52 variables. Time-invariant variables included gender, ethnicity, age at study entry, experimental condition, cohort, early sexual debut, high school drug use, and high school GPA. A number of time-varying variables also were included, all measured at Time 1, Time 2, Time 3, and—with the exception of sex outside a committed relationship for the younger cohort—Time 4: sexually active/non-active, multiple partners, sex outside a committed relationship, sex with a partner known less than 2 weeks, inconsistent condom use, sex with a high-risk partner, romantic relationship status, college attendance, living arrangement, full-time work, and part-time work. The imputation model converged in 65 iterations. Two thousand imputations were performed, with one dataset saved every hundred imputations, following ~2 × EM-convergence rule (Graham & Hofer, 2000), for a total of 20 datasets.

References

  • Abma, J. C., Martinez, G. M., Mosher, W. D., & Dawson, B. S. (2004). Teenagers in the United States: Sexual activity, contraceptive use, and childbearing, 2002. Washington, DC: National Center for Health Statistics.

    Google Scholar 

  • Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55, 469–480.

    Article  PubMed  Google Scholar 

  • Arnett, J. J. (2005). The developmental context of substance use in emerging adulthood. Journal of Drug Issues, 35, 235–254.

    Google Scholar 

  • Bachman, J. G., Safron, D. J., Sy, S. R., & Schulenberg, J. E. (2003). Wishing to work: New perspectives on how adolescents’ part-time work intensity is linked to educational disengagement, substance use, and other problem behaviours. International Journal of Behavioral Development, 27, 301–315.

    Article  Google Scholar 

  • Bachman, J. G., Wasdsworth, K. N., O’Malley, P. M., Johnston, L. D., & Schulenberg, J. E. (1997). Smoking, drinking, and drug use in young adulthood: The impacts of new freedoms and new responsibilities. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Bailey, J. A., Fleming, C. B., Henson, J. N., Catalano, R. F., & Haggerty, K. P. (2008). Sexual risk behavior 6 months post-high school: Associations with college attendance, living with a parent, and prior risk behavior. Journal of Adolescent Health, 42, 573–579.

    Article  PubMed  Google Scholar 

  • Bauman, L. J., & Berman, R. (2005). Adolescent relationships and condom use: Trust, love and commitment. AIDS and Behavior, 9, 211–222.

    Article  PubMed  Google Scholar 

  • Bearinger, L. H., & Resnick, M. D. (2003). Dual method use in adolescents: A review and framework for research on use of STD and pregnancy protection. Journal of Adolescent Health, 32, 340–349.

    Article  PubMed  Google Scholar 

  • Breslin, F. C., & Adlaf, E. M. (2005). Part-time work and adolescent heavy episodic drinking: The influence of family and community context. Journal of Studies on Alcohol, 66, 784–794.

    PubMed  Google Scholar 

  • Catalano, R. F., & Hawkins, J. D. (1996). The social development model: A theory of antisocial behavior. In J. D. Hawkins (Ed.), Delinquency and crime: Current theories (pp. 149–197). New York: Cambridge University Press.

    Google Scholar 

  • Catalano, R. F., Mazza, J. J., Harachi, T. W., Abbott, R. D., Haggerty, K. P., & Fleming, C. B. (2003). Raising healthy children through enhancing social development in elementary school: Results after 1.5 years. Journal of School Psychology, 41, 143–164.

    Article  Google Scholar 

  • Centers for Disease Control and Prevention. (2003a). Sexually transmitted disease surveillance, 2002. Atlanta, GA: U.S. Department of Health and Human Services.

    Google Scholar 

  • Centers for Disease Control and Prevention. (2003b, May 5, 2004). YRBSS: Youth online comprehensive results. Retrieved August 9, 2004, from http://apps.nccd.cdc.gov/yrbss/CategoryQuestions.asp?Cat=4&desc=Sexual%20Behaviors.

  • Centers for Disease Control and Prevention. (2009). Sexually Transmitted Disease Surveillance, 2008. Atlanta, GA: U.S. Department of Health and Human Services.

    Google Scholar 

  • Congdon, R., Raudenbush, S., & Bryk, A. (2005–2009). HLM (Version 6.06). Lincolnwood, IL: Scientific Software International.

  • Cooper, M. L. (2002). Alcohol use and risky sexual behavior among college students and youth: Evaluating the evidence. Journal of Studies on Alcohol, Suppl 14, 101–117.

    Google Scholar 

  • Cooper, M. L., Shapiro, C. M., & Powers, A. M. (1998). Motivations for sex and risky sexual behavior among adolescents young adults: A functional perspective. Journal of Personality and Social Psychology, 75, 1528–1558.

    Article  PubMed  Google Scholar 

  • Corbin, W. R., & Fromme, K. (2002). Alcohol use and serial monogamy as risks for sexually transmitted diseases in young adults. Health Psychology, 21, 229–236.

    Article  PubMed  Google Scholar 

  • Dalton, A. L., & Galambos, N. L. (2009). Affect and sexual behavior in the transition to university. Archives of Sexual Behavior, 38, 675–687.

    Article  PubMed  Google Scholar 

  • Dariotis, J. K., Sonenstein, F. L., Gates, G. J., Capps, R., Astone, N. M., Pleck, J. H., et al. (2008). Changes in sexual risk behavior as young men transition to adulthood. Perspectives on Sexual and Reproductive Health, 40, 218–225.

    Article  PubMed  Google Scholar 

  • Dunne, E. F., Unger, E. R., Sternberg, M., McQuillan, G., Swan, D. C., Patel, S. S., & Markowitz, L. E. (2007). Prevalence of HPV infection among females in the United States. Journal of the American Medical Association, 297, 813–819.

    Article  PubMed  Google Scholar 

  • Graham, J. W., & Hofer, S. M. (2000). Multiple imputation in multivariate research. In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multi-group data: Practical issues, applied approaches, and specific examples (pp. 201–218, 269–281). Hillsdale, NJ: Lawrence Erlbaum.

  • Graham, J. W., Hofer, S. M., Donaldson, S. I., MacKinnon, D. P., & Schafer, J. L. (1997). Analysis with missing data in prevention research. In K. J. Bryant, M. T. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 325–366). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Haggerty, K. P., Catalano, R. F., Harachi, T. W., & Abbott, R. D. (1998). Description de l’implementation d’un programme de prévention des problèmes de comportement à l’adolescence [Preventing adolescent problem behaviors: A comprehensive intervention description]. Criminologie, 31, 25–47.

    Google Scholar 

  • Hawkins, J. D., & Weis, J. G. (1985). The social development model: An integrated approach to delinquency prevention. Journal of Primary Prevention, 6, 73–97.

    Article  Google Scholar 

  • King, K. M., Meehan, B. T., Trim, R. S., & Chassin, L. (2006). Marker or mediator? The effects of adolescent substance use on young adult educational attainment. Addiction, 101, 1730–1740.

    Article  PubMed  Google Scholar 

  • Longmore, M. A., Manning, W. D., & Giordano, P. C. (2001). Preadolescent parenting strategies and teens’ dating and sexual initiation: A longitudinal analysis. Journal of Marriage & Family, 63, 322–335.

    Article  Google Scholar 

  • Masten, A. S., Roisman, G. I., Long, J. D., Burt, K. B., Obradovic, J., Riley, J. R., et al. (2005). Developmental cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology, 41, 733–746.

    Article  PubMed  Google Scholar 

  • McMorris, B. J., Petrie, R. S., Catalano, R. F., Fleming, C. B., Haggerty, K. P., & Abbott, R. D. (2009). Use of Web and in-person survey modes to gather data from young adults on sex and drug use: An evaluation of cost, time, and survey error based on a randomized mixed-mode design. Evaluation Review, 33, 138–158.

    Article  PubMed  Google Scholar 

  • Miller, B. C., Benson, B., & Galbraith, K. A. (2001). Family relationships and adolescent pregnancy risk: A research synthesis. Developmental Review, 21, 1–38.

    Article  Google Scholar 

  • Padilla-Walker, L. M., Nelson, L. J., Madsen, S. D., & Barry, C. M. (2008). The role of perceived parental knowledge on emerging adults’ risk behaviors. Journal of Youth & Adolescence, 37, 847–859.

    Article  Google Scholar 

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.

    Google Scholar 

  • Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., & Congdon, R. T. (2004). HLM 6: Hierarchical linear and nonlinear modeling. Lincolnwood, IL: Scientific Software International.

    Google Scholar 

  • Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.

    Book  Google Scholar 

  • Santelli, J. S., Lowry, R., Brener, N. D., & Robin, L. (2000). The association of sexual behaviors with socioeconomic status, family structure, and race/ethnicity among U.S. adolescents. American Journal of Public Health, 90, 1582–1588.

    Article  PubMed  Google Scholar 

  • Schafer, J. L. (1997). Analysis of incomplete multivariate data. London: Chapman and Hall.

    Book  Google Scholar 

  • Schafer, J. L., & Olsen, M. K. (1998). Multiple imputation for multivariate missing-data problems: A data analyst’s perspective. Multivariate Behavioral Research, 33, 545–571.

    Article  Google Scholar 

  • Schulenberg, J. E., Maggs, J. L., & O’Malley, P. M. (2003). How and why the understanding of developmental continuity and discontinuity is important. In J. T. Mortimer & M. J. Shanahan (Eds.), Handbook of the life course (pp. 413–436). New York: Kluwer Academic/Plenum.

    Chapter  Google Scholar 

  • Siegel, D. M., Klein, D. I., & Roghmann, K. J. (1999). Sexual behavior, contraception, and risk among college students. Journal of Adolescent Health, 25, 336–343.

    Article  PubMed  Google Scholar 

  • Valois, R. F., Dunham, A., Jackson, K. L., & Waller, J. (1999). Association between employment and substance abuse behaviors among public high school adolescents. Journal of Adolescent Health, 25, 256–263.

    Article  PubMed  Google Scholar 

  • Wetherill, R. R., Neal, D. J., & Fromme, K. (2010). Parents, peers, and sexual values influence sexual behavior during the transition to college. Archives of Sexual Behavior, 39, 682–694.

    Article  PubMed  Google Scholar 

  • White, H. R., & Jackson, K. (2004/2005). Social and psychological influences on emerging adult drinking behavior. Alcohol Research & Health, 28, 182–190.

    Google Scholar 

  • White, H. R., Labouvie, E. W., & Papadaratsakis, V. (2005). Changes in substance use during the transition to adulthood: A comparison of college students and their non-college age peers. Journal of Drug Issues, 35, 281–306.

    Google Scholar 

  • White, H. R., McMorris, B. J., Catalano, R. F., Fleming, C. B., Haggerty, K. P., & Abbott, R. D. (2006). Increases in alcohol and marijuana use during the transition out of high school into emerging adulthood: The effects of leaving home, going to college, and high school protective factors. Journal of Studies on Alcohol, 67, 810–822.

    PubMed  Google Scholar 

  • Wood, M. D., Read, J. P., Mitchell, R. E., & Brand, N. H. (2004). Do parents still matter? Parent and peer influences on alcohol involvement among recent high school graduates. Psychology of Addictive Behaviors, 18, 49–55.

    Article  Google Scholar 

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Acknowledgements

This project was supported by Grant #R01DA08093-16 from the National Institute on Drug Abuse, Washington, DC. The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of the funding agency. The authors gratefully acknowledge the staff, families, and students of the participating project schools for their support and cooperation in the Raising Healthy Children project.

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Correspondence to Jennifer A. Bailey.

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Bailey, J.A., Haggerty, K.P., White, H.R. et al. Associations Between Changing Developmental Contexts and Risky Sexual Behavior in the Two Years Following High School. Arch Sex Behav 40, 951–960 (2011). https://doi.org/10.1007/s10508-010-9633-0

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