LGBTQ+ Stigma and Health Effects: A Systematic Review of the Global Literature
Bibliographic record
Abstract
This systematic review examines the global literature on LGBTQ+ stigma and health. Indeed, the LGBTQ+ community has experienced a poignant history of stigma, resulting in adverse health consequences. The current review synthesizes 46 articles conducted in multiple cultural settings. The focuses of the selected articles varied from mental health, physical health, suicide, drug and alcohol use, HIV stigma, and healthcare among LGBTQ+ communities. The selected studies similarly found that stigma and discrimination against LGBTQ+ individuals have fueled adverse mental health and health behaviors. These risky behaviors included eating disorders, self-harm, suicide, substance use, unprotected sex, avoidance of healthcare appointments, perceived stigma, as well as healthcare provider (HCP) stigma. Racism in the LGBTQ+ community, racial/ethnic identities of LGBTQ+ individuals, and cultural rejection of homosexuality were also discussed. Future research should pay more attention to intersectional stigma and the social networks of LGBTQ+ communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".