Cardiovascular Health Promotion in Aging Women: Validating a Population Health Approach
Bibliographic record
Abstract
OBJECTIVE: Although cardiovascular disease is the leading cause of death in North American women, most cardiovascular research has focused on men. In addition, while there has been a recent trend toward population health promotion (PHP) and a consequent focus on the broad determinants of health, there is still a dearth of research evidence related to the promotion of cardiovascular health within this context. The purpose of this study was to explore and describe the interrelationships between the determinants of health and individual cardiovascular health/risk behaviors in healthy women, within the context of a framework for PHP. DESIGN: A comprehensive inventory of factors affecting the cardiovascular health of women was operationalized in a survey questionnaire, the Cardiovascular Health Promotion Profile. Physical measures were also taken on each participant (n = 206). RESULTS: The multivariate analyses support significant interrelationships between the population health determinants and multiple individual cardiovascular health/risk behaviors in this cohort (p < 0.05). CONCLUSIONS: The evidence from this study provides foundational validation for a population health approach and population-based strategies for cardiovascular health promotion in women. Further research, within the context of a PHP framework, is central to building on the body of knowledge in this area.
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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 | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".