ArticleSocial psychiatry and psychiatric epidemiology2022
Trajectories of depressive symptoms among young adults in Texas 2014-2018: a multilevel growth curve analysis using an intersectional lens.
Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Depressive symptoms predict cannabis vaping initiation among young adults.Drug and alcohol dependence · 2024Article
- Similarities and Differences in the Longitudinal Trajectories of Depressive Symptoms from Mid-Adolescence to Young Adulthood: the Intersectionality of Gender, Race/Ethnicity, and Levels of Depressive Symptoms.Journal of racial and ethnic health disparities · 2024Article
- Depressive symptoms prospectively increase risk for new onset cigarette and ENDS dependence symptoms.Addictive behaviors · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
introductionResearch 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.
methodsMultilevel 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.
resultsYoung 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.
conclusionEvaluating 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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