Minority Stress and Loneliness in a Global Sample of Sexual Minority Adults: The Roles of Social Anxiety, Social Inhibition, and Community Involvement
Bibliographic record
Abstract
Research suggests that loneliness among sexual minority adults is associated with marginalization, but it is unclear which processes may underlie this relationship. This cross-sectional study examined five possibilities: stigma preoccupation, internalized homonegativity, sexual orientation concealment, social anxiety, and social inhibition. The study also examined the possible protective role of LGBTQ community involvement. Respondents were 7856 sexual minority adults aged 18-88 years from 85 countries who completed an online survey. Results of structural equation modeling indicated that marginalization was positively associated with both social and emotional loneliness, and that part of this relationship was indirect via proximal minority stress factors (especially stigma preoccupation) and, in turn, social anxiety and social inhibition. Moreover, while LGBTQ community involvement was associated with greater marginalization, it was also associated with lower levels of proximal stress and both forms of loneliness. Among those who were more involved in the LGBTQ community, the associations between marginalization and proximal stress were somewhat weaker, as were those between stigma preoccupation and social anxiety, and between social inhibition and social loneliness. In contrast, the associations between concealment and social anxiety were somewhat stronger. Model fit and patterns of association were similar after controlling for the possible confounding effect of dispositional negative affectivity, but several coefficients were lower. Findings underscore the continuing need to counter marginalization of sexual minorities, both outside and within the LGBTQ community, and suggest possible avenues for alleviating loneliness at the individual level, such as cognitive-behavioral interventions targeting stigma preoccupation and social anxiety.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".