Does obesity related eating behaviors only affect chronic diseases? A nationwide study of university students in China
Bibliographic record
Abstract
The primary aims of this study are to examine associations between obesity-related eating behaviors (OEB) and chronic and infectious diseases, and mental disorders. A representative nationwide survey was used to collect information among 11,659 medical students from 31 universities in China. Multiple variable logistic regression analysis was conducted to examine the associations between OEB and the diseases. The multiple variable logistic regression model found that OEB was significantly associated with chronic disease (OR (Odds Ratio): 1.74 < 95 % C.I (Confidence Interval): 1.45, 2.65 > ), infectious disease (OR: 3.37 < 95 % C.I: 1.04, 1.81 > ), and mental disorder (OR: 1.87(<95 % C.I: 1.55, 2.25 > ). These findings underscore the importance of addressing OEB in programs and policies to promote health and prevent disease among university students.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".