Associations between muscularity-oriented social media content and muscle dysmorphia among boys and men
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aimed to determine whether viewing muscularity-oriented social media content was associated with muscle dysmorphia among a sample of boys and men from Canada and the United States. Data from the Study of Boys and Men (2024; N = 1553) were analyzed. Multiple linear regression analyses were conducted to determine the associations between viewing content with 1) muscular bodies, 2) muscle-building dietary supplements (e.g., whey protein), and 3) muscle-building drugs (e.g., anabolic-androgenic steroids) on social media and probable muscle dysmorphia. Findings revealed strong and positive associations between viewing muscularity-oriented social media content and probable muscle dysmorphia. Specifically, greater frequency of viewing content related to muscular bodies, muscle-building dietary supplements, and muscle-building drugs were all associated with having probable muscle dysmorphia, independent of total time spent on social media. The findings from this study underscore the need for more research to understand the directionality and risks associated with specific social media content among boys and men. Greater media and health literacy is needed for boys and men to support appropriate social media use. • Viewing muscular bodies on social media is associated with muscle dysmorphia. • Viewing muscle-building supplements on social media is linked with muscle dysmorphia. • Viewing muscle-building drugs on social media is linked with muscle dysmorphia. • Resources are needed to support appropriate social media engagement in boys and men.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it