4.4 Article

Trajectories of depressive symptoms among young adults in Texas 2014-2018: a multilevel growth curve analysis using an intersectional lens

期刊

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00127-022-02217-x

关键词

Intersectionality; Depression; Young adults; Multilevel modeling

资金

  1. National Institutes of Health from the National Cancer Institute (NCI) [1 P50 CA180906, 1 R01 CA249883-01A1]
  2. FDA Center for Tobacco Products (CTP)
  3. National Heart, Lung, and Blood Institute at the Steve Hicks School of Social Work at the University of Texas at Austin [T32HL140290]
  4. Eunice Kennedy Shriver National Institute of Child Health and Human Development [P2CHD042849]

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This study examines trajectories of depressive symptoms among young adults in Texas through an intersectional lens. The results show an increase in depressive symptoms from 2014-2018, with certain groups experiencing more symptoms. Intersectional identities contribute to a small portion of the variance in depressive symptoms.
Introduction Research has demonstrated disparities in depressive symptoms among people who are marginalized. However, more work should examine depressive symptoms through an intersectional lens, recognizing that multiple systems of privilege and oppression interlock to create unique struggles where multiple marginalized identities meet. Recent methodological developments have advanced quantitative intersectionality research using multilevel modeling to partition variance in depressive symptoms to person-level sociodemographic variables and intersectional-level social strata. The purpose of this study is to leverage these methods to examine trajectories of depressive symptoms among young adults in Texas through an intersectional lens. Methods Multilevel modeling was used to examine the longitudinal trajectories of depressive symptoms among 3575 young adults from 24 colleges in Texas assessed seven times between Fall 2014 and Spring 2018. Intersectional identities included sex, race/ethnicity, and sexual and gender minority identities. The model examined time nested within individuals and individuals nested within intersectional social strata. Results Young adults in Texas experienced an increase in depressive symptoms from 2014-2018. Those with female, Hispanic, AAPI, other race/ethnicity, or LGBTQ + identities experienced more depressive symptoms. After controlling for the main effects of the sociodemographic variables, 0.08% of variance in depressive symptoms remained attributed to the effects of intersectional identities. Conclusion Evaluating disparities in depressive symptoms through an intersectional lens offers a more complete description of the epidemiology of depressive symptoms. Communities and institutions that serve marginalized people should consider the elevated burden of depressive symptoms that marginalized people may carry, and integrate culturally competent psychoeducation, assessments, and therapies where possible.

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