Stressful life events, gender and obesity
Bibliographic record
Abstract
OBJECTIVE: To determine whether stressful life events are related to levels of obesity in a group of ethnically diverse Canadian youth and the extent to which the relationship differs by gender. METHODS: This study of 905 adolescents (age 13-17 years) from a BC population-based cohort (BASUS) used self-reported data from Wave 5 (2011 fall) on stressful life events and socio-demographic factors and from Wave 6 (2012 spring) on weight and height. Multivariable logistic regression models conditioned on known confounders and used a cross-product term for effect modification by gender. Post-estimation analysis calculated gender-specific predicted mean probabilities of having obesity associated with greater frequency of stressful life events. RESULTS: Compared to young men reporting no stressful life events in the previous year, young men reporting one event were nearly 50% more likely to have obesity at 6-month follow-up (OR 1.47 [95% CI: 0.63, 3.41]) and those reporting multiple stressful life events were twice as likely to have obesity at 6-month follow-up (OR 2.07 [95% CI: 0.79-5.43]). Only young women reporting multiple events showed a higher likelihood of having obesity at the end of the study (OR 1.32 [95% CI: 0.41-4.18]) than their counterparts reporting no life events. CONCLUSIONS: Results suggest that the frequency of major life events may be an important social stressor associated with obesity in adolescents, particularly for young men. However, findings should be replicated in larger samples using measured anthropometry to inform future obesity prevention strategies.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".