Relationships between personality traits and disordered eating among Chinese female exercisers: the role of symptoms of exercise dependence and obsessive-compulsiveness
Bibliographic record
Abstract
BACKGROUND: Although numerous studies have examined associations between personality traits and eating disorders in females, few studies have been conducted on female exercisers. Given the high risk of disordered eating in female exercisers, this study investigated the associations between the Big Five personality traits and disordered eating in female exercisers, and further explored the potential mediators, namely exercise dependence symptoms, and obsessive-compulsive symptoms underlying this association. METHODS: A total of 295 female exercisers aged between 18 to 67 years (M = 22.11, SD = 6.65) participated in this study. RESULTS: Negative and statistically significant correlations between conscientiousness (r = - 0.17, p < 0.01), emotional stability (r = - 0.27, p < 0.001) and agreeableness (r = - 0.18, p < 0.01) and disordered eating were observed in our sample of female exercisers. The multiple mediation analyses revealed that exercise dependence symptoms and obsessive-compulsive symptoms mediate the relationship between conscientiousness (β = 0.016, CI = [0.003, 0.031]), emotional stability (β = -0.012, CI = [- 0.028, - 0.002]), and disordered eating in female exercisers, whereas obsessive-compulsive symptoms (β = - 0.041, CI = [- 0.088, - 0.001]) but not exercise dependence symptoms are a mediator of the relationship between agreeableness and disordered eating. CONCLUSIONS: Our findings can be used to improve the screening procedures for eating disorders in female exercisers as they contribute to a better understanding of the psychological mechanisms that underlie the associations between the Big Five personality traits and disordered eating.
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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 | 0.000 |
| 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) | 0.001 | 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".