Muscle dysmorphia symptomatology is prospectively associated with suicidal thoughts, suicidal behaviors, and non‐suicidal self‐injury among a sample of Canadian adolescents and young adults
Bibliographic record
Abstract
INTRODUCTION: Limited, primarily cross-sectional research has identified associations between muscle dysmorphia and suicidal thoughts suicidal behaviors, and non-suicidal self-injury (NSSI). This study aimed to investigate the associations between muscle dysmorphia and suicidal thoughts, suicidal behaviors, and NSSI prospectively over a 1-year period among a large, diverse sample of Canadian adolescents and young adults. METHODS: Data from wave one (2021) and wave two (2022) of the Canadian Study of Adolescent Health Behaviors were analyzed (N = 912). Multiple modified Poisson regression analyses were used to determine the associations between muscle dysmorphia symptomatology at wave one and three items of suicidal thoughts and behaviors and one item of NSSI at wave two. Unadjusted models and adjusted models were estimated. RESULTS: Total muscle dysmorphia symptomatology and symptoms of Appearance Intolerance were prospectively associated with suicidal ideation and suicide planning at 12-month follow-up. These findings were significant across unadjusted and adjusted models. CONCLUSIONS: Findings from this study expand prior research and underscore the clinical complexity of muscle dysmorphia. Future research should investigate mechanisms explaining the association between muscle dysmorphia and suicide and develop interventions to prevent suicide among people with muscle dysmorphia.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".