Growth in Adolescent Self-Regulation and Impact on Sexual Risk-Taking: A Curve-of-Factors Analysis
Adolescent self-regulation is increasingly seen as an important predictor of sexual risk-taking behaviors, but little is understood about how changes in self-regulation affect later sexual risk-taking. Family financial stress may affect the development of self-regulation and later engagement in sexual risk-taking. We examined whether family financial stress influences self-regulation in early adolescence (age 13) and growth in self-regulation throughout adolescence (from age 13–17 years). We then assessed the effects of family financial stress, baseline self-regulation, and the development of self-regulation on adolescent sexual risk-taking behaviors at age 18 years. Using a curve-of-factors model, we examined these relationships in a 6-year longitudinal study of 470 adolescents (52% female) and their parents from a large northwestern city in the United States. Results indicated that family financial stress was negatively associated with baseline self-regulation but not with growth in self-regulation throughout adolescence. Both baseline self-regulation and growth in self-regulation were predictive of decreased likelihood of engaging in sexual risk-taking. Family financial stress was not predictive of later sexual risk-taking. Intervening to support the development of self-regulation in adolescence may be especially protective against later sexual risk-taking.
KeywordsSelf-regulation Sexual risk-taking Family stress Growth curve analysis Structural equation modeling
We thank the College of Family, Home, and Social Science, and the many donors and supporters of the Family Studies Center at Brigham Young University who provided generous financial assistance for the Flourishing Families Project for many years. We also thank Jeremy B. Yorgason for his suggestions and careful review of our curve-of-factors Mplus code.
A.C. conceived of the study and the analytical design, performed statistical analyses and interpretation, and drafted the manuscript. B.M.M. and M.L.B.N. helped with the conceptualization and design of the study and interpretation of results. All authors helped draft the manuscript and read and approved the final manuscript.
The Flourishing Families Project was funded by Brigham Young University (U.S.) College of Family, Home, and Social Science (Principal Investigator: Randal D. Day).
Compliance with Ethical Standards
Conflict of Interests
The authors declare that they have no competing interests.
The Brigham Young University Institutional Review Board (IRB) approved the Flourishing Families Project. The Flourishing Families Project involved human participants who provided informed consent in accordance with the procedures established with the institutional ethics committee. This current study was a secondary data analysis using the Flourishing Families Project data.
- Centers for Disease Control and Prevention. (2016). Sexually transmitted disease surveillance 2015. Atlanta: U.S. Department of Health and Human Services.Google Scholar
- Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent variable growth curve modeling: Concepts, issues, and application. Mahway, New Jersey: Lawrence Erlbaum Associates, Inc.Google Scholar
- Eaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Flint, K. H., Hawkins, J., & Chyen, D. (2012). Youth risk behavior surveillance—United States, 2011. Morbidity and Mortality Weekly Report: Surveillance Summaries, 61(4), 1–162.Google Scholar
- Gibbons, F. X., Roberts, M. E., Gerrard, M., Li, Z., Beach, S. R., Simons, R. L., & Philibert, R. A. (2012). The impact of stress on the life history strategies of African American adolescents: Cognitions, genetic moderation, and the role of discrimination. Developmental Psychology, 48(3), 722.CrossRefPubMedPubMedCentralGoogle Scholar
- Harvard Center on the Developing Child (2014). Enhancing and practicing executive function skills with children from infancy to adolescence, www.developingchild.harvard.edu.
- Kautz, T., Heckman, J.J., Diris, R., Ter Weel, B., & Borghans, L. (2014). Fostering and measuring skills: Improving cognitive and non-cognitive skills to promote lifetime success (No. w20749). National Bureau of Economic Research. Paris, France: Organization for Economic Co-operation and Development.Google Scholar
- Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: The Guilford Press.Google Scholar
- Mullainathan, S., & Shafir, E. (2013). Scarcity: Why having too little means so much. Macmillan. New York, NY: Times BooksGoogle Scholar
- Murray, D. W., Rosanbalm, K., Christopoulos, C., & Hamoudi, A. (2015). Self-regulation and toxic stress: Foundations for understanding self-regulation from an applied developmental perspective. Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. OPRE Report #2015-21.Google Scholar
- Muthén, L., & Muthén, B. (1998–2012). Mplus user’s guide. Los Angeles: Muthen & Muthen.Google Scholar
- Niendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012). Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cognitive, Affective & Behavioral Neuroscience, 12(2), 241–268. doi: 10.3758/s13415-011-0083-5.CrossRefGoogle Scholar
- Spilman, S. K., & Burzette, R. G. (2006). Critical Transitions Project Technical Reports, F10 2003. Ames, IA: Family Transitions Project, Iowa State University.Google Scholar
- StataCorporation. (2014). Stata statistical software. College Station, TX.: StataCorp LP. Release 14.Google Scholar
- World Health Organization (2017). Maternal, newborn, child and adolescent health: Adolescent development, http://www.who.int/maternal_child_adolescent/topics/adolescence/dev/en/.
- Yeager, D. S., Henderson, M. D., Paunesku, D., Walton, G. M., D’Mello, S., Spitzer, B. J., & Duckworth, A. L. (2014). Boring but important: A self-transcendent purpose for learning fosters academic self-regulation. Journal of Personality and Social Psychology, 107(4), 559.CrossRefPubMedPubMedCentralGoogle Scholar