An empirical examination and extension of the psychological mediation framework among gay and bisexual men: a mixed methods study
Bibliographic record
Abstract
Compared to heterosexual men, gay and bisexual men (GBM) are at an increased risk of adverse mental and sexual health outcomes. Minority Stress Theory (MST) proposes that GBM experience an increased prevalence of poor mental health outcomes as a result of minority stress. Building upon MST, the Psychological Mediation Framework (PMF) posits that minority stress leads to changes in general cognitive, affective, and social psychological processes, thereby leading to negative mental health outcomes. The present mixed methods study focused on three primary objectives in a sample of 261 GBM: (a) testing the indirect effects of general psychological processes in the relationship between minority stress and poor mental health outcomes; (b) evaluating whether these processes also account for the relationship between minority stress and poor sexual health outcomes; and (c) qualitatively exploring and further clarifying the PMF. Quantitative results provided support for the PMF by demonstrating that experiences of objective stigma were associated with elevations in psychological risk factors, which were in turn associated with adverse mental health outcomes. When each mediator was examined separately, affective processes had a significant effect on mental health outcomes whereas cognitive and social processes were non-significant. For sexual health, the total indirect effect of general psychological mediators in the relationship between stigma and sexual health outcomes was non-significant. However, when mediators were examined separately, cognitive processes did appear to have a significant indirect effect in this relationship, whereas affective and social processes were non-significant. Qualitative results provided partial support for the PMF; many, but not all, of the key components of the model were discussed by participants, and a number of novel themes emerged that expand beyond variables described in the PMF. These findings have important theoretical implications by helping to refine the PMF and future studies of minority stress. Further, by offering a better understanding of the mechanisms linking minority stress and poor health outcomes, this study may help guide future psychological interventions aimed at improving the health of GBM.
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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 | 0.097 | 0.120 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".