Disordered eating attitudes correlate with body dissatisfaction among Kuwaiti male college students
Bibliographic record
Abstract
Abstract Background The prevalence of disordered eating attitudes and body dissatisfaction based on muscularity and body fat was investigated among male college students in Kuwait with a range of body mass index values including underweight, normal weight, overweight, and obese participants. Methods Data were collected, using the Eating Attitudes Test (EAT-26) and the Bodybuilder Image Grid (BIG), from 400 male undergraduate students (84.8% Kuwaiti nationals) recruited from both public and private universities in Kuwait. An anonymous, self-administered questionnaire was used to determine the prevalence of symptomatology indicative of anorexia nervosa and bulimia nervosa and to examine the associations between body dissatisfaction and muscularity and body fat. Results Most participants were dissatisfied with their current muscle mass and body fat (67.3 and 69%, respectively). Logistic regression analyses produced odds ratios (ORs) demonstrating that students dissatisfied with their muscularity and body fat and those who indicated a desire to decrease both muscularity and body fat had significantly higher odds of being at risk of disordered eating attitudes (OR = 2.241, 95% CI [1.17, 3.6], p = .032, and OR = 1.898, 95% CI [1.214, 2.967], p = .005, respectively). Obese participants also had higher odds of exhibiting disordered eating attitudes (OR = 2.06, 95% CI [1.17, 3.60], p = .011). Conclusion The high proportion of disordered eating attitudes among Kuwaiti college men was associated with high levels of body image dissatisfaction in relation to both body fat and muscularity. High levels of eating disorder symptoms were also linked to obesity.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".