Sex Variations in the Effects of Arthritis and Activity Limitation on First Heart Disease Event Occurrence in the Canadian General Population: Results From the Longitudinal National Population Health Survey
Bibliographic record
Abstract
OBJECTIVE: To estimate sex-specific effects of arthritis and activity limitation on incident heart disease in a nationally representative, Canadian longitudinal population-based survey. METHODS: Information on sociodemographic variables, self-reported physician-diagnosed chronic conditions (including arthritis and heart disease), activity limitations, and traditional risk factors was collected every 2 years from 1994-1995 through 2010-2011 as part of the longitudinal Canadian National Population Health Survey. Deaths due to ischemic heart disease (International Classification of Diseases, Tenth Revision [ICD-10] codes I20-I25) and heart failure (ICD-10 codes I50.0-I50.9) were confirmed against the Canadian Vital Statistics Database. Discrete-time survival analysis stratified by sex was used to estimate effects of arthritis and activity limitation on first heart disease event occurrence. RESULTS: The study included 12,591 participants with no prior history of heart disease and 1,783 incident heart disease events. After adjusting for common risk factors, arthritis was associated with a significant increased risk of incident heart disease in women (adjusted odds ratio [OR] 1.58, 95% confidence interval [95% CI] 1.23-2.02). Even higher risks were reported in women with arthritis and activity limitation (OR 2.19, 95% CI 1.61-2.97). Arthritis was not associated with incident heart disease in men, except for when also reported with activity limitation (OR 1.60, 95% CI 1.14-2.26). CONCLUSION: Women with arthritis, and men with arthritis and activity limitation, have significant excess risks for developing heart disease in the general population. These findings point to the need for improved access to arthritis care, cardiovascular prevention strategies, particularly in women with arthritis, and directed interventions toward prevention of activity limitation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".