Involvement in sex work is associated with muscle dysmorphia symptomatology among a sample of Canadian adolescents and young adults
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to investigate the association between lifetime sex work involvement and muscle dysmorphia symptomatology. METHODS: Data from the Canadian Study of Adolescent Health Behaviours (N =912) were analysed. Multiple adjusted linear regression models were estimated with lifetime sex work involvement as the independent variable and muscle dysmorphia symptomatology, measured using the Muscle Dysmorphic Disorder Inventory, as the dependent variable. RESULTS: Among the sample, 3.7% of participants reported engaging in lifetime sex work. Significant associations were found between self-reported lifetime sex work and greater total muscle dysmorphia symptomatology (B =5.03, 95% CI 1.80, 8.26), greater Drive for Size symptomatology (B =2.36, 95% CI 0.74-3.97), and greater Functional Impairment symptomatology (B =2.11, 95% CI 0.54, 3.67), while adjusting for relevant sociodemographic variables. CONCLUSIONS: Findings from this study expand prior research that has documented poor mental health among individuals involved in sex work. Clinical and community health professionals should consider screening for muscle dysmorphia symptomatology among young people who have been involved in sex work.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".