Investigating the Role of Resilience as a Moderator of the Relationship Between Trauma and Disordered Eating Symptoms
Bibliographic record
Abstract
Traumatic life experiences (TLEs) increase the risk of negative health outcomes and psychiatric conditions including eating disorders (EDs). EDs are disorders that capture disturbances in eating and eating-related behaviours and are often comorbid with other pathologies. TLEs have been linked to ED symptomology in nonclinical undergraduate samples. This study investigates if multi system resilience is associated with a lower level of ED symptoms. Participants completed an online questionnaire study. Data were collected for measures of TLEs, resilience, and disordered eating symptoms. Measures of anxiety, depressed mood, and dieting behaviours were also administered. Resilience did not significantly moderate the relationship between TLEs and disordered eating symptoms. Results suggest that dieting behaviour is the most important factor related to disordered eating symptoms, and that sexual trauma is particularly predictive of ED symptomology. Implications are discussed in the context of a nonclinical sample. Limitations of this study and future directions are also presented.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".