Association between Obesity and Depression in Canadians
Bibliographic record
Abstract
OBJECTIVE: To determine the age and sex variations in the associations between obesity and depression. METHODS: This analysis was based on data from 59,652 adults >or=18 years of age in the provinces of Nova Scotia, Quebec, Saskatchewan, Alberta, and British Columbia, who participated in the Canadian Community Health Survey conducted in 2005. The survey included a set of 27 questions about symptoms of depression, which were taken from the Composite International Diagnostic Interview. Based on these questions, depression scores were calculated and used to define depression, which corresponds to a 90% likelihood of a positive diagnosis of major depressive episode. Body weight and height were based on self-report. RESULTS: The prevalence of depression was 5.3% in adults living in the five provinces and was higher in women than in men. People with abnormal body weight tended to have an increased risk of depression. On average, obesity and being underweight were associated with approximately 30% and 40% increases in depression, respectively. Particularly in women, depression was more markedly associated with obesity in the 18-39 year age group (OR 1.67, 95% CI 1.29-2.15) and with being underweight in the 40-59 year age group (OR 2.23, 95% CI 1.45-3.42) than other age groups. CONCLUSIONS: Obesity is associated with an increased risk of depression in younger women.
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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 | 0.002 | 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".