Contemporary screen use and symptoms of muscle dysmorphia among a national sample of Canadian adolescents and young adults
Bibliographic record
Abstract
PURPOSE: Screen time has been previously linked to body dissatisfaction and eating disorder behaviors. However, less is known about whether use of common forms of screen technology is associated with symptoms of muscle dysmorphia (MD), which was the aim of this study. METHODS: Data from the Canadian Study of Adolescent Health Behaviors (N = 2538) were analyzed. Associations between hours of use of six contemporary forms of recreational screen time, as well as total screen time, and symptoms of MD were determined using multiple linear regression models, stratified by gender, and adjusting for potential confounders. RESULTS: Among both men and women, greater total screen time and texting were associated with greater symptoms of MD; however, differences emerged across the screen time modalities by gender. Among women, video chatting was most strongly associated with symptoms of MD, while social media use was most strongly associated with symptoms of MD among men. CONCLUSION: Findings add to the growing literature documenting the potentially harmful correlates of screen time by including MD symptomatology. Findings have important implications for health care, public health, and policymaking professionals. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| 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".