Relative strength of the associations of body fat, muscularity, height, and penis size dissatisfaction with psychological quality of life impairment among sexual minority men.
Bibliographic record
Abstract
To date, there is scant research on whether different domains of male body dissatisfaction vary in the strengthof their relationships with psychological well-being. This paucity also extends to sexual minority men (i.e.,men who report their sexual orientation as gay or bisexual). Thus, among sexual minority men, we examinedthe relative strength of the associations of four key male body dissatisfaction domains body fat, muscularity,height, and penis sizewith psychological quality of life impairment. A geographically representative sampleof 2,733 sexual minority men completed a self-report survey, which was advertised nationwide acrossAustralia and New Zealand to users of a popular geosocial-networking smartphone application. Participantscompleted a measure of psychological quality of life in addition to measures of body fat, muscularity, height,and penis size dissatisfaction. Results indicated that increased dissatisfaction with each domain of male bodydissatisfaction was uniquely associated with psychological quality of life impairment. The strongest relationshipwith quality of life impairment was observed for muscularity dissatisfaction (effect size small tomedium), followed by dissatisfaction with body fat (small), height (small), and penis size (very small). Theserelationships were not moderated by participants sexual orientation (exclusively gay vs. bisexual), culturalbackground, or relationship status. The findings emphasize the need to prioritize research on muscularitydissatisfaction and related psychopathology, a category inclusive of muscularity-oriented disordered eating,muscle dysmorphia, and anabolic steroid misuse and dependence. Contrary to common disparaging stereotypesabout men and their body image concerns, penis dissatisfaction was relatively uncommon and evidencedthe weakest association with quality of life impairment.
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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 | 0.002 | 0.004 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".