The relationship between sexual and gender stigma and suicide attempt and ideation among LGBTQI + populations in Thailand: findings from a national survey
Bibliographic record
Abstract
PURPOSE: Thailand has one of the highest suicide rates in Southeast Asia; yet, little is known about suicidality among lesbian, gay, bisexual, trans, queer, intersex, and other gender and sexually diverse (LGBTQI +) people living in the region, who may experience elevated risk for suicide. We sought to identify the prevalence of lifetime suicidal attempts and ideation among a nationally recruited sample of LGBTQI + people in Thailand. We further examined the relationship between levels of sexual/gender stigma and suicidal attempt and ideation. METHODS: Data were derived from a national online survey of Thai LGBTQI + individuals between January and March 2018. Multivariable logistic regression was used to examine the relationship between sexual/gender stigma scales, adapting a previously validated instrument, and suicide attempt and ideation. RESULTS: Among 1,290 LGBTQI + participants, the median age was 27 years. The prevalence of suicide attempt and ideation was 16.8% and 50.7%, respectively. In multivariable analyses, after adjusting for potential confounders, experiences of perceived and enacted sexual/gender stigma were independently and positively associated with suicide attempt (adjusted odds ratio [AOR] = 1.25; 95% confidence interval CI:1.10-1.41 and AOR = 1.31; 95% CI:1.11-1.55, respectively) and ideation (AOR = 1.30; 95% CI:1.17-1.43 and AOR = 1.34; 95% CI:1.14-1.58, respectively). CONCLUSION: One-sixth of the sample reported a suicide attempt, while a half reported ever contemplating suicide. Both experiences of perceived and enacted sexual/gender stigma were associated with lifetime suicide attempt and ideation. Multi-level interventions are needed to decrease stigma and in turn suicide among LGBTQ + people in Thailand, including anti-discrimination policies and support for mental health and well-being.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".