Income and heart disease: Neglected risk factor.
Bibliographic record
Abstract
OBJECTIVE: To determine the unadjusted and adjusted effects of income on heart disease; its main disease intermediary, high blood pressure; and its main behavioural risk factors, smoking and physical inactivity. DESIGN: Random-digit dialing telephone survey collected through the Canadian Community Health Survey by Statistics Canada. SETTING: Saskatchewan. PARTICIPANTS: A total of 27 090 residents aged 20 years and older; each health region in Saskatchewan was represented. MAIN OUTCOME MEASURES: Overall, 178 variables related to demographic characteristics, socioeconomic factors, behaviour, life stress, disease intermediaries, health outcomes, and access to health care were analyzed to determine their unadjusted and adjusted effects on heart disease. RESULTS: The mean age of the sample was 52.6 years. Women represented 55.9% of the sample. Most respondents were married (52.3%) and had some postsecondary or graduate education (52.5%). The mean personal income was $23 931 and the mean household income was $37 533. All models statistically controlled for age. Five covariates independently associated with heart disease included high blood pressure, household income of $29 999 or less per year, being a daily smoker, male sex, and being physically inactive. Five covariates independently associated with high blood pressure included being overweight or obese, being a daily smoker, household income of $29 999 or less per year, male sex, and being physically inactive. Five covariates independently associated with daily smoking included being a visible minority, household income of $29 999 or less per year, not being overweight or obese, education level of less than secondary school, and male sex. Six covariates independently associated with physical inactivity included being a visible minority, being overweight or obese, education level of less than secondary school, male sex, household income of $29 999 or less per year, and being a daily smoker. CONCLUSION: Household income was strongly and independently associated with heart disease; its main disease intermediary, high blood pressure; and its main behavioural risk factors, smoking and physical inactivity. Income inequality is a neglected risk factor worthy of appropriate public debate and policy intervention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.005 | 0.001 |
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".