Eating disorder risk in undergraduate students: exploring academic, wellness and social factors and potential to flourish
Bibliographic record
Abstract
Eating disorder (ED) psychopathology is a public health concern for undergraduate students and likely to coincide with university adjustment challenges. Using the National College Health Assessment (NCHA-III) (2023) survey, undergraduates enrolled at an Atlantic Canadian university (N = 887; mean age 22.1 years) were screened for EDs based on the Sick Control One-stone Fat Food (SCOFF) questionnaire, and assessed whether performance, wellness, and social factors predicted positive mental health (PMH). Overall, 29.4% (33.2% female vs. 21.9% male) screened positive for an ED, and relative to undergraduates not at risk, were more likely to report problems with academics, faculty, family, partners, and peers, greater isolation/loneliness, and weaker university belongingness, poorer health status, and greater psychological distress. Although more likely to languish, 20% of ED risk students were observed to flourish, with academic success, university belongingness, better health, and lower ED severity, distress, and loneliness predictive of higher PMH. Implications of findings are discussed.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".