Relationship Breakup Impact on Mental Health and Safer Sex Among Men Who Have Sex with Men in the United Kingdom
Bibliographic record
Abstract
This study investigated the impact of breakup recency and relationship status on mental health (anxiety, depression, suicidal ideation, possible alcohol dependence, sexual unhappiness, worry about drug use) and safer sex (sexual assertiveness and non-steady condomless partners) among men who have sex with men (MSM) in the United Kingdom (UK). We analyzed data from 11,763 UK-based MSM in the European MSM Internet Survey. ANOVAs were run to explore differences in mental health across breakup recency (< 6 months, 6–12 months, 1–5 years, and >5 years ago). Logistic regressions (adjusting for age and HIV status) were used to compare partnered MSM on mental health and safer sex with MSM who had broken up in the last 6 months. ANOVAs revealed significant downward trends for anxiety/depression (F(1) = 11.384, G = −0.061, p < 0.001) and alcohol dependence (F(1) = 10.679, G = −0.084, p < 0.001), decreasing as time passed since the breakup. Sexual unhappiness followed a reverse pattern (F(1) = 82.15, G = 0.137, p < 0.001). Logistic regressions showed that compared to partnered MSM, those who broke up within the past 6 months reported significantly higher levels of anxiety/depression (aOR = 1.55, p < 0.001), suicidal ideation (aOR = 1.63, p < 0.001), alcohol dependence (aOR = 1.21, p < 0.001), and sexual unhappiness (aOR = 1.66, p < 0.001). MSM who have recently experienced breakups may face temporary mental/sexual health challenges, warranting targeted support.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".