Death and Chronic Disease Risk Associated With Poor Life Satisfaction: A Population-Based Cohort Study
Bibliographic record
Abstract
Life satisfaction is increasingly recognized as an important determinant of health; however, prospective population-based studies on this topic are limited. We estimated the risk of chronic disease and death according to life satisfaction among a population-based cohort in Ontario, Canada (n = 73,904). The cohort included 3 pooled cycles of the Canadian Community Health Survey (2003-2008) linked to 6 years of follow-up (to 2015), using population-based health databases and validated disease-specific registries. The databases capture incident and prevalent cases of diabetes, cancer, chronic obstructive pulmonary disease, heart disease, and death. Multivariable Cox proportional hazard models were used to estimate hazards of incident chronic disease and death, and were adjusted for sociodemographic, behavioral, and clinical confounders, including age, sex, comorbidity, mood disorder, smoking, alcohol consumption, physical activity, body mass index, immigrant status, education, and income. In the fully adjusted models, risk of both death and incident chronic disease was highest for those most dissatisfied with life (for mortality, hazard ratio = 1.59, 95% confidence interval: 1.15, 2.19; for chronic disease, hazard ratio = 1.70, 95% confidence interval: 1.16, 2.51). In this population-based cohort, poor life satisfaction was an independent risk factor for incident chronic disease and death, supporting the idea that interventions and programs that improve life satisfaction will affect population health.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".