Embodying disadvantage: a theoretically-informed analysis of pathways linking socioeconomic position with all-cause and cancer mortality in a nationally representative cohort of adults in Canada
Bibliographic record
Abstract
BACKGROUND: Individuals adopt particular health-related practices according to what is structurally possible for them. Given that many health-related practices and obesity are patterned by socioeconomic position (SEP) and strongly linked with mortality, they may represent mechanisms through which SEP becomes biologically embedded and influences mortality risk. This study quantified whether and to what extent health-related practices (current/former smoking, physical inactivity, low fruit and vegetable intake, excess alcohol intake) and obesity mediate associations between SEP and all-cause and cancer mortality in a nationally representative cohort of adults in Canada. METHODS: This was a prospective, population-based cohort study of adults (≥ 35 years; n = 308,635) who participated in the cross-sectional Canadian Community Health Survey. Data from eight survey cycles (2000/2001-2011) were linked to mortality records in the Canadian Mortality Database (2000-2013). Household income adequacy and educational attainment were used to generate a latent variable representing SEP at baseline. Participants also self-reported smoking, physical activity, fruit and vegetable intake, alcohol intake and BMI at baseline. Generalized Structural Equation Modeling was performed to evaluate pathways linking SEP with all-cause and cancer mortality mediated by health-related practices (current/former smoking, physical inactivity, low fruit and vegetable intake, excess alcohol intake) and obesity in males and females. RESULTS: Health-related practices and obesity did not collectively mediate associations between lower SEP and all-cause or cancer mortality in males or females. However, current/former smoking mediated associations between lower SEP and all-cause (males: HR 1.06, 95% CI 1.01, 1.12; females: HR 0.97, 95% CI 0.95, 0.99) and cancer mortality (males: HR 1.06, 95% CI 1.01, 1.12; females: HR 0.97, 95% CI 0.95, 0.99) in males and females, and physical inactivity mediated associations between lower SEP and all-cause mortality in females (HR 1.12, 95% CI: 1.03, 1.21). Low fruit and vegetable intake, excess alcohol intake and obesity did not mediate associations between lower SEP and mortality. CONCLUSIONS: Smoking and physical activity may represent mechanisms through which SEP becomes biologically embedded and shapes the risk of mortality among adults in Canada. However, most of the associations between SEP and mortality remained unexplained; thus, additional studies are needed to understand other pathways of biological embedding.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".