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Growth in Adolescent Self-Regulation and Impact on Sexual Risk-Taking: A Curve-of-Factors Analysis

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Abstract

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.

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Notes

  1. The current study included these five items from the Sexual Risk Survey, items 8, 16, 17, 19 and 22.

References

  • Barbarin, O. (2013). A longitudinal examination of socioemotional learning in African American and Latino boys across the transition from pre‐K to kindergarten. American Journal of Orthopsychiatry, 83(2–3), 156.

    Article  PubMed  Google Scholar 

  • Birthrong, A., & Latzman, R. D. (2014). Aspects of impulsivity are differentially associated with risky sexual behaviors. Personality and Individual Differences, 57, 8–13.

    Article  Google Scholar 

  • Blair, C. (2010). Stress and the development of self-regulation in context. Child Development Perspectives, 4(3), 181–188. doi:10.1111/j.1750-8606.2010.00145.x.

    Article  PubMed  PubMed Central  Google Scholar 

  • Browning, C. R., Burrington, L. A., Leventhal, T., & Brooks-Gunn, J. (2008). Neighborhood structural inequality, collective efficacy, and sexual risk behavior among urban youth. Journal of Health and Social Behavior, 49(3), 269–285.

    Article  PubMed  PubMed Central  Google Scholar 

  • Cavazos-Rehg, P. A., Spitznagel, E. L., Bucholz, K. K., Nurnberger, J., Edenberg, H. J., Kramer, J. R., & Bierut, L. J. (2010). Predictors of sexual debut at age 16 or younger. Archives of Sexual Behavior, 39(3), 664–673.

    Article  PubMed  Google Scholar 

  • Centers for Disease Control and Prevention. (2016). Sexually transmitted disease surveillance 2015. Atlanta: U.S. Department of Health and Human Services.

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255.

    Article  Google Scholar 

  • Crandall, A., Magnusson, B. M., Novilla, M. L. B., Novilla, L. K. B., & Dyer, W. J. (2017). Family financial stress and adolescent sexual risk-taking: The role of self-regulation. Journal of Youth and Adolescence, 46(1), 45–62. doi:10.1007/s10964-016-0543-x.

    Article  PubMed  Google Scholar 

  • Crichton, J., Hickman, M., Campbell, R., Heron, J., Horner, P., & Macleod, J. (2014). Prevalence of chlamydia in young adulthood and association with life course socioeconomic position: Birth cohort study. Plos One, 9(8), e104943.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dahlin, E., Nyberg, L., Bäckman, L., & Neely, A. S. (2008). Plasticity of executive functioning in young and older adults: Immediate training gains, transfer, and long-term maintenance. Psychology and Aging, 23(4), 720–730.

    Article  PubMed  Google Scholar 

  • Dariotis, J. K., Sifakis, F., Pleck, J. H., Astone, N. M., & Sonenstein, F. L. (2011). Racial and ethnic disparities in sexual risk behaviors and STDs during young men’s transition to adulthood. Perspectives on Sexual and Reproductive Health, 43(1), 51–59.

    Article  PubMed  PubMed Central  Google Scholar 

  • Diamond, A., Barnett, W. S., Thomas, J., & Munro, S. (2007). Preschool program improves cognitive control. Science (New York, N.Y.), 318(5855), 1387.

    Article  Google Scholar 

  • Duckworth, A. L., Grant, H., Loew, B., Oettingen, G., & Gollwitzer, P. M. (2011). Self‐regulation strategies improve self‐discipline in adolescents: Benefits of mental contrasting and implementation intentions. Educational Psychology, 31(1), 17–26.

    Article  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 

  • El-Sadr, W. M., Mayer, K. H., & Hodder, S. L. (2010). AIDS in America—forgotten but not gone. The New England Journal of Medicine, 362(11), 967.

    Article  PubMed  PubMed Central  Google Scholar 

  • Evans, G. W., & Rosenbaum, J. (2008). Self-regulation and the income-achievement gap. Early Childhood Research Quarterly, 23(4), 504–514. doi:10.1016/j.ecresq.2008.07.002.

    Article  Google Scholar 

  • Finer, L. B., & Zolna, M. R. (2016). Declines in unintended pregnancy in the United States, 2008–2011. New England Journal of Medicine, 374(9), 843–852.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fuhrmann, D., Knoll, L. J., & Blakemore, S.-J. (2015). Adolescence as a sensitive period of brain development. Trends in Cognitive Sciences, 19(10), 558–566. doi:10.1016/j.tics.2015.07.008.

    Article  PubMed  Google Scholar 

  • Gestsdottir, S., & Lerner, R. M. (2008). Positive development in adolescence: The development and role of intentional self-regulation. Human Development, 51(3), 202–224.

    Article  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.

    Article  PubMed  PubMed Central  Google Scholar 

  • Griffin, K. W., Scheier, L. M., Acevedo, B., Grenard, J. L., & Botvin, G. J. (2012). Long-term effects of self-control on alcohol use and sexual behavior among urban minority young women. International Journal of Environmental Research and Public Health, 9(1), 1–23.

    PubMed  Google Scholar 

  • Hackman, D. A., Gallop, R., Evans, G. W., & Farah, M. J. (2015). Socioeconomic status and executive function: Developmental trajectories and mediation. Developmental Science, 18(5), 686–702. doi:10.1111/desc.12246.

    Article  PubMed  Google Scholar 

  • Hampson, S. E., Andrews, J. A., Barckley, M., Gerrard, M., & Gibbons, F. X. (2016). Harsh environments, life history strategies, and adjustment: A longitudinal study of oregon youth. Personality and Individual Differences, 88, 120–124.

    Article  PubMed  PubMed Central  Google 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.

  • Kavanaugh, M. L., Kost, K., Frohwirth, L., Maddow-Zimet, I., & Gor, V. (2017). Parents’ experience of unintended childbearing: A qualitative study of factors that mitigate or exacerbate effects. Social Science & Medicine, 174, 133–141.

    Article  Google Scholar 

  • King, K. M., Lengua, L. J., & Monahan, K. C. (2012). Individual differences in the development of self-regulation during pre-adolescence: Connections to context and adjustment. Journal of Abnormal Child Psychology, 41(1), 57–69. doi:10.1007/s10802-012-9665-0.

    Article  Google Scholar 

  • Li, M., Riis, J. L., Ghazarian, S. R., & Johnson, S. B. (2017). Income, family context, and self-regulation in 5-year-old children. Journal of Developmental & Behavioral Pediatrics,. doi:10.1097/dbp.0000000000000380. Publish Ahead of Print.

    Google Scholar 

  • Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: The Guilford Press.

    Google Scholar 

  • Lupien, S. J., McEwen, B. S., Gunnar, M. R., & Heim, C. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience, 10(6), 434–445.

    Article  PubMed  Google Scholar 

  • Moilanen, K. L. (2015). Short-and long-term self-regulation and sexual risk-taking behaviors in unmarried heterosexual young adults. The Journal of Sex Research, 52(7), 758–769.

    Article  PubMed  Google Scholar 

  • Mullainathan, S., & Shafir, E. (2013). Scarcity: Why having too little means so much. Macmillan. New York, NY: Times Books

  • 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.

    Article  Google Scholar 

  • Novak, S. P., & Clayton, R. R. (2001). The influence of school environment and self-regulation on transitions between stages of cigarette smoking: A multilevel analysis. Health Psychology, 20(3), 196–207. doi:10.1037/0278-6133.20.3.196.

    Article  PubMed  Google Scholar 

  • Ponnet, K., Van Leeuwen, K., Wouters, E., & Mortelmans, D. (2015). A family system approach to investigate family-based pathways between financial stress and adolescent problem behavior. Journal of Research on Adolescence, 25(4), 765–780. doi:10.1111/jora.12171.

    Article  Google Scholar 

  • Shonkoff, J. P., Garner, A. S., Siegel, B. S., Dobbins, M. I., Earls, M. F., McGuinn, L., & Care, D. (2012). The lifelong effects of early childhood adversity and toxic stress. Pediatrics, 129(1), e232–e246.

    Article  PubMed  Google Scholar 

  • Spilman, S. K., & Burzette, R. G. (2006). Critical Transitions Project Technical Reports, F10 2003. Ames, IA: Family Transitions Project, Iowa State University.

  • StataCorporation. (2014). Stata statistical software. College Station, TX.: StataCorp LP. Release 14.

    Google Scholar 

  • Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78–106.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tsevat, D. G., Wiesenfeld, H. C., Parks, C., & Peipert, J. F. (2017). Sexually transmitted diseases and infertility. American Journal of Obstetrics and Gynecology, 216(1), 1–9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Turchik, J. A., & Garske, J. P. (2008). Measurement of sexual risk taking among college students. Archives of Sexual Behavior, 38(6), 936–948. doi:10.1007/s10508-008-9388-z.

    Article  PubMed  Google Scholar 

  • Umberson, D., Williams, K., Powers, D. A., Liu, H., & Needham, B. (2005). Stress in childhood and adulthood: Effects on marital quality over time. Journal of Marriage and Family, 67(5), 1332–1347. doi:10.1111/j.1741-3737.2005.00220.x.

    Article  PubMed  PubMed Central  Google Scholar 

  • Volkow, N. D., Baler, R. D., Compton, W. M., & Weiss, S. R. B. (2014). Adverse health effects of marijuana use. New England Journal of Medicine, 370(23), 2219–2227. doi:10.1056/NEJMra1402309.

    Article  PubMed  PubMed Central  Google Scholar 

  • Woltering, S., & Lewis, M. D. (2009). Developmental pathways of emotion regulation in childhood: A neuropsychological perspective. Mind, Brain, and Education, 3(3), 160–169.

    Article  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.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

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.

Author Contributions

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.

Funding

The Flourishing Families Project was funded by Brigham Young University (U.S.) College of Family, Home, and Social Science (Principal Investigator: Randal D. Day).

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Correspondence to AliceAnn Crandall.

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The authors declare that they have no competing interests.

Ethical Approval

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.

Appendix A: Mplus Code for Curve-of-Factors Model

Appendix A: Mplus Code for Curve-of-Factors Model

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Crandall, A., Magnusson, B.M. & Novilla, M.L.B. Growth in Adolescent Self-Regulation and Impact on Sexual Risk-Taking: A Curve-of-Factors Analysis. J Youth Adolescence 47, 793–806 (2018). https://doi.org/10.1007/s10964-017-0706-4

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