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Race/Ethnicity, Gender, and Trajectories of Depressive Symptoms Across Early- and Mid-Life Among the Add Health Cohort.

ABSTRACT: While disparities in depressive symptoms by race/ethnicity and gender have been documented, left unclear is how such status characteristics intersect to influence mental health, particularly across early life and among a diverse set of population subgroups. This study investigates how intra- and inter-individual trends in depressive symptoms unfold across a 30-year span (ages 12-42) and are structured by the intersection of race/ethnicity and gender among White, Black, Hispanic, and Asian American young adults (N = 18,566). Analyses use data from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study of adolescents who have been followed through their fourth decade of life. We draw on Waves I-IV and a representative subsample of the brand new Wave V data. Growth curve models indicated depressive symptoms decreased across adolescence and young adulthood before increasing in the early 30s. Racial/ethnic minorities reported more depressive symptoms than Whites. Women reported more depressive symptoms than men and experienced especially steep increases in their late 30s. Racial/ethnic-gender disparities remained stable with age, except for Hispanic-White disparities among women and Asian American-White disparities among men, which narrowed with age. Overall, findings demonstrate dynamic inequalities across a longer period of the life span than was previously known, as well as heterogeneity in trajectories of poor mental health within and between racial/ethnic-gender groups. Results also suggest that Black and Asian American women experience the highest mental health risks and that interventions for reducing disparities in depressive symptoms should focus on adults in their late 20s/early 30s, particularly women of color.

SUBMITTER: Hargrove TW

PROVIDER: S-EPMC7338256 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ImportanceConcerns about the mental health of youths going through gender identity transitions have received increased attention. There is a need for empirical evidence to understand how transitions in self-reported gender identity are associated with mental health.ObjectiveTo examine whether and how often youths changed self-reported gender identities in a longitudinal sample of sexual and gender minority (SGM) youths, and whether trajectories of gender identity were associated with depressive symptoms.Design, setting, and participantsThis cohort study used data from 4 waves (every 9 months) of a longitudinal community-based study collected in 2 large cities in the US (1 in the Northeast and 1 in the Southwest) between November 2011 and June 2015. Eligible participants included youths who self-identified as SGM from community-based agencies and college groups for SGM youths. Data analysis occurred from September 2022 to June 2023.ExposureGender identity trajectories and gender identity variability.Main outcomes and measuresThe Beck Depression Inventory for Youth (BDI-Y) assessed depressive symptoms. Gender identity variability was measured as the number of times participants' gender identity changed. Hierarchical linear models investigated gender identity trajectories and whether gender identity variability was associated with depressive symptoms over time.ResultsAmong the 366 SGM youths included in the study (mean [SD] age, 18.61 [1.71] years; 181 [49.4%] assigned male at birth and 185 [50.6%] assigned female at birth), 4 gender identity trajectory groups were identified: (1) cisgender across all waves (274 participants ), (2) transgender or gender diverse (TGD) across all waves (32 participants), (3) initially cisgender but TGD by wave 4 (ie, cisgender to TGD [28 participants]), and (4) initially TGD but cisgender by wave 4 (ie, TGD to cisgender [32 participants]). One in 5 youths (18.3%) reported a different gender identity over a period of approximately 3.5 years; 28 youths varied gender identity more than twice. The cisgender to TGD group reported higher levels of depression compared with the cisgender group at baseline (Β = 4.66; SE = 2.10; P = .03), but there was no statistical difference once exposure to lesbian, gay, bisexual, and transgender violence was taken into account (Β = 3.31; SE = 2.36; P = .16). Gender identity variability was not associated with within-person change in depressive symptoms (Β = 0.23; SE = 0.74; P = .75) or the level of depressive symptoms (Β = 2.43; SE = 2.51; P = .33).ConclusionsThese findings suggest that gender identity can evolve among SGM youths across time and that changes in gender identity are not associated with changes in depressive symptoms. Further longitudinal work should explore gender identity variability and adolescent and adult health.

Project description:ObjectiveTo describe disparities along the depression treatment cascade, from indication for antidepressant treatment to effective treatment, in HIV-infected individuals by gender and race/ethnicity.MethodsThe Center for AIDS Research (CFAR) Network of Integrated Clinical Systems (CNICS) cohort includes 31,000 HIV-infected adults in routine clinical care at 8 sites. Individuals were included in the analysis if they had a depressive symptoms measure within one month of establishing HIV care at a CNICS site. Depressive symptoms were measured using the validated Patient Health Questionnaire-9 (PHQ-9). Indication for antidepressant treatment was defined as PHQ-9 ≥ 10 or a current antidepressant prescription. Antidepressant treatment was defined as a current antidepressant prescription. Evidence-based antidepressant treatment was considered treatment changes based on a person's most recent PHQ-9, in accordance with clinical guidelines. We calculated the cumulative probability of moving through the depression treatment cascade within 24 months of entering CNICS HIV care. We used multivariable Cox proportional hazards models to estimate associations between gender, race/ethnicity, and a range of depression outcomes.ResultsIn our cohort of HIV-infected adults in routine care, 47% had an indication for antidepressant treatment. Significant drop-offs along the depression treatment cascade were seen for the entire study sample. However, important disparities existed. Women were more likely to have an indication for antidepressant treatment (HR 1.54; 95% CI 1.34, 1.78), receive antidepressant treatment (HR 2.03; 95% CI 1.53, 2.69) and receive evidence-based antidepressant treatment (HR 1.67; 95% CI 1.03, 2.74), even after accounting for race/ethnicity. Black non-Hispanics (HR 0.47, 95% CI 0.35, 0.65), Hispanics (HR 0.63, 95% CI 0.44, 0.89) and other race/ethnicities (HR 0.35, 95% CI 0.17, 0.73) were less likely to initiate antidepressant treatment, compared to white non-Hispanics.ConclusionsIn our cohort of HIV-infected adults depressive symptoms were common. Important disparities in the prevalence of depressive symptoms and receipt of antidepressant treatment existed by gender and race/ethnicity.

Project description:Background and objectivesDrawing on the counterbalancing framework, this study examined the counteracting roles of coronavirus disease (COVID)-related stressors (i.e., infection threat, family activity disruption, economic impact) and psychological resilience in explaining racial-ethnic disparities in depressive symptoms during the COVID-19 pandemic.Research design and methodsA competitive mediation model was fitted using nationally representative data from the Health and Retirement Study COVID-19 Project, which were collected in June 2020 (N = 1,717). A competitive mediation model was specified within which the associations between race-ethnicity categories and depressive symptoms were mediated by infection threat, family activity disruption, economic impact, and psychological resilience. A list of pre-COVID covariates and pre-COVID depressive symptoms were adjusted for in this model.ResultsInfection threat, family activity disruption, economic impact, and psychological resilience were all higher among non-Hispanic Blacks and Hispanics than among non-Hispanic Whites. Economic impact had a positive whereas psychological resilience had a negative direct effect on depressive symptoms net of pre-COVID covariates and pre-COVID depressive symptoms. Mediation analyses revealed that, compared to non-Hispanic Whites, non-Hispanic Blacks and Hispanics had higher depressive symptoms due to their higher family activity disruption and higher economic impact, but their higher levels of psychological resilience also reduced depressive symptoms. The counteracting indirect effects offset each other, resulting in a null total effect of race-ethnicity on depressive symptoms.Discussion and implicationsThese findings suggest that interventions addressing the mental health impact of COVID should consider race/ethnicity-specific vulnerabilities and resilience. Future studies need to consider the complex and potentially counterbalancing mechanisms linking race-ethnicity and mental health.

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Race/Ethnicity, Gender, and Trajectories of Depressive Symptoms Across Early- and Mid-Life Among the Add Health Cohort.

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