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Gender differences in trajectories of depressive symptomatology and substance use during the transition from adolescence to young adulthood

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  • Needham, Belinda L.

Abstract

This study examines gender differences in the association between symptoms of depression and substance use during the transition from adolescence to young adulthood. Data are from three waves of the US-based National Longitudinal Study of Adolescent Health (n=10,828). Results from latent growth curve analysis demonstrate that the association between depressive symptomatology and substance use is bi-directional. Adolescents who are initially more depressed begin the study period with substantially higher levels of substance use than their better-adjusted peers, yet they are less vulnerable to increases in smoking (girls only), binge drinking (girls and boys), and illicit drug use (girls only) across the transition to young adulthood. Also, adolescents who start out with higher than average cigarette, alcohol, and illicit drug use experience a faster rate of decline in symptoms of depression over time compared to those who start out with lower levels of substance use. This association appears to be more pronounced for girls than for boys. Despite their faster rate of decline in depressive symptoms, girls and boys who have higher initial levels of substance use report higher levels of depressive symptomatology at all three time points.

Suggested Citation

  • Needham, Belinda L., 2007. "Gender differences in trajectories of depressive symptomatology and substance use during the transition from adolescence to young adulthood," Social Science & Medicine, Elsevier, vol. 65(6), pages 1166-1179, September.
    • Handle: RePEc:eee:socmed:v:65:y:2007:i:6:p:1166-1179
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    1. Courtenay, Will H., 2000. "Constructions of masculinity and their influence on men's well-being: a theory of gender and health," Social Science & Medicine, Elsevier, vol. 50(10), pages 1385-1401, May.
    2. Wu, L.-T. & Anthony, J.C., 1999. "Tobacco smoking and depressed mood in late childhood and early adolescence," American Journal of Public Health, American Public Health Association, vol. 89(12), pages 1837-1840.
    3. Dale Dannefer, 2003. "Cumulative Advantage/Disadvantage and the Life Course: Cross-Fertilizing Age and Social Science Theory," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(6), pages 327-337.
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    1. Mossakowski, Krysia N., 2008. "Is the duration of poverty and unemployment a risk factor for heavy drinking?," Social Science & Medicine, Elsevier, vol. 67(6), pages 947-955, September.
    2. Andrew J. Hussey & Debjani Kanjilal & Albert A. Okunade, 2013. "Effects of Peers and Social Environment on Adolescent Psychological Well-Being," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 3(2), pages 69-83, February.
    3. Pasqualini, M. & Lanari, D. & Pieroni, L., 2018. "Parents who exit and parents who enter. Family structure transitions, child psychological health, and early drinking," Social Science & Medicine, Elsevier, vol. 214(C), pages 187-196.
    4. Fletcher, Jason M., 2009. "Childhood mistreatment and adolescent and young adult depression," Social Science & Medicine, Elsevier, vol. 68(5), pages 799-806, March.

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