Typologies of Minority Stressors and Depressive Symptoms among LGBTQ Employees in the Workplace: A Moderated Mediation Model of Workplace Climate and Resilience
Bibliographic record
Abstract
Abstract Introduction The pathways between minority stressors and depressive symptoms require a nuanced understanding of how these stressors affect the mental health of sexual and gender minority people. It remains unclear whether minority stressors are associated with depressive symptoms through perception of workplace climate and if resilience moderates these effects. Methods This study examined the direct and indirect effects of different minority stressors (experiences of discrimination, internalized homophobia, expectations of rejection, and concealment of identity) on depressive symptoms through the mediating factor of perception of workplace climate and the moderating factor of resilience. Chinese lesbian, gay, bisexual, trans, and queer (LGBTQ) employees ( N = 706) completed a cross-sectional online survey in 2021–2022. We examined the moderated mediating effects using PROCESS macro with a bootstrapping approach. Results Mediation results showed that the four minority stressors were each negatively associated with perceptions of workplace climate, which were associated with higher levels of depressive symptoms among Chinese LGBTQ employees. Moderated mediation models demonstrated that the conditional indirect effects of different types of minority stressors on depressive symptoms through perception of workplace climate were only significant for those with lower levels of resilience. Conclusions Extending the minority stress model to work settings, this study offers new knowledge about the mediating role of perception of workplace climate in the relationship between minority stressors and depressive symptoms. Knowledge about the moderating role of resilience also informs targeted interventions. Policy Implications Interventions targeted at reducing minority stressors, enhancing perceived workplace climate, and promoting resilience are vital to enhance LGBTQ individuals’ mental health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".