Associations Among Religiosity, Religious Rejection, Mental Health, and Suicidal Ideation in Transgender and Gender Nonconforming Adults
Bibliographic record
Abstract
OBJECTIVES: Religiosity has generally been shown to be a protective factor against adverse mental health in the general population. Transgender and gender non-conforming (TGNC) individuals, however, may not experience the same protective effects, as many religions are unsupportive of diverse gender identities. This study examined whether increased religiosity and having been rejected by a religious community because of one's gender identity were associated with mental health issues in TGNC individuals. METHODS: = 154), predominantly from the United States, completed an online survey assessing these constructs. RESULTS: These constructs were highly represented in the sample, with 46.1% of participants having experienced religious rejection at some point throughout their lifetime because of their gender identity, 40.3% currently experiencing symptoms of elevated depression and 34.4% of elevated anxiety, and 48.7% with suicidal ideation over the past 2 weeks. Religious rejection was associated with increased depression, anxiety, and suicidal ideation. Neither interpersonal nor intrapersonal religiosity was associated in a bivariate way with any of the three mental health outcomes. However, among participants who experienced rejection by one's religious community, interpersonal religiosity was strongly associated with increased depression symptoms and suicidal ideation, whereas conversely among TGNC individuals who had not experienced rejection by their religious community, interpersonal religiosity was weakly associated with depression and suicidal ideation. CONCLUSION: The results underscore the extremely harmful effects of religious rejection due to one's gender identity on religious TGNC individuals, pointing to the active contributions of the behaviors of traditional religious groups towards TGNC mental health problems and suicide.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".