The Relationship Between the Drive for Muscularity and Muscle Dysmorphia in Male and Female Weight Trainers
Bibliographic record
Abstract
Muscle dysmorphia is a form of body dysmorphic disorder in which individuals have a pathological preoccupation with their muscularity and, more specifically, an extreme fear that their bodies are too small. Relatively few empirical studies have been completed on muscle dysmorphia, and even fewer studies on the relationship between the drive for muscularity and muscle dysmorphia in men and women. The purpose of this research was to examine the relationship between the drive for muscularity and muscle dysmorphia in male (n = 55) and female (n = 59) recreational weight trainers. Results revealed that the behavior and diet subscales of the drive for muscularity significantly predicted muscle dysmorphia in males and females accounting for 69% and 46% of the total variance, respectively. Although the overall scores of muscle dysmorphia do not indicate clinical levels, these findings suggest that behaviors such as arranging one's schedule around his/her training regimen and dieting in order to gain muscle predict characteristics of muscle dysmorphia in men and women.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".