1. 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
- Author
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Chen, Eva Yi-Ju and Tung, Eli Yi-Liang
- Abstract
Background: Understanding similarities and differences between groups with intersecting social identities provides key information in research and practice to promote well-being. Building on the intersectionality literature indicating significant gender and racial/ethnic differences in depressive symptoms, the present study used quantile regression to systematically present the diversity in the development of depressive symptoms for individuals with intersecting gender, race/ethnicity, and levels of symptoms. Methods: Information from the National Longitudinal Survey of Youth 79: Child and Young Adult study was employed. A detailed picture of depressive symptom trajectories from low to high quantiles was illustrated by depicting 13 quantile-specific trajectories using follow-up data from ages 15 to 40 in six gender-race/ethnicity groups: both genders of Black, Hispanic, and non-Black, non-Hispanic individuals. Results: From low to high quantiles, Black and non-Black, non-Hispanic individuals showed mostly curved, and Hispanic individuals showed mostly flat trajectories. Across the six gender-race/ethnicity groups, the trajectories below 0.50 quantiles were similar in levels and shapes from mid-adolescence to young adulthood. The differences between the six gender-race/ethnicity groups widened, indicated by outspreading trajectories, especially at quantiles above 0.50. Furthermore, non-Black, non-Hispanic males and females showed especially fast-increasing patterns at quantiles above 0.75. Among those without or with only a high school degree, Black females and non-Black, non-Hispanic females tended to report similar levels of depressive symptoms higher than other groups at high quantiles. These unique longitudinal trajectory profiles cannot be captured by the mean trajectories. Conclusions: The intersectionality of gender, race/ethnicity, and quantile of symptoms on the development of depressive symptoms was identified. Further studying the mechanism explaining this diversity can help reduce mental health disparities.
- Published
- 2023
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