Muscle dysmorphia symptomatology among a national sample of Canadian adolescents and young adults
Bibliographic record
Abstract
The aim of this study was to describe muscle dysmorphia (MD) symptomatology among a large, diverse, and national sample of adolescents and young adults in Canada. Data from the Canadian Study of Adolescent Health Behaviors (N = 2256) were analyzed. MD symptomatology was assessed using the Muscle Dysmorphic Disorder Inventory (MDDI). Men (mean [M] = 33.9, standard deviation [SD] = 8.6) reported significantly greater overall MD symptomatology compared to women (M = 30.1, SD = 7.3) and transgender/gender non-conforming (TGNC; M = 31.5, SD = 7.6) participants. Similarly, the prevalence of clinical MD risk was also highest among men (25.7 %). In regression analyses, participants who identified as South Asian (B 1.97, 95 % confidence interval [CI] 0.41, 3.52) or Middle Eastern (B 2.92, 95 % CI 0.50,5.35), compared to White participants, or identified as gay or lesbian (B 2.65, 95 % CI 1.19, 4.10), compared to heterosexual participants, had greater MD symptomatology. Findings are the first to describe the MD symptomatology among Canadian adolescents and young adults. Health care and public health professionals should be aware of the overall high occurrence of MD symptomatology in this sample, and future research is needed to continue to describe MD among Canadian young people.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".