Influence of Physical Activity on Mortality in Elderly with Coronary Artery Disease
Bibliographic record
Abstract
PURPOSE: The primary objectives were to 1) examine the dose-response relationship between physical activity and mortality in individuals with CAD, and 2) determine whether the aforementioned relationship is consistent within strata of other personal characteristics. METHODS: Subjects included 1045 elderly men and women with CAD from the Cardiovascular Health Study. In the first set of analyses, the dose-response relationship between baseline leisure-time physical activity level and all-cause mortality risk over 9 yr was determined using Cox proportional hazards regression models. Next, the subjects were stratified based on several different characteristics, and the consistency of the relationship between baseline leisure-time physical activity and mortality risk within the various strata was determined. RESULTS: Baseline leisure-time physical activity was related to all-cause mortality risk in a curvilinear dose-response manner such that greater differences in mortality risk were seen at the lower end of the energy expenditure scale, with a plateau occurring at approximately 4000 kcal x wk(-1). Within various strata of sex, age, smoking, adiposity, self-perceived health status, number of comorbid conditions, and type of CAD; the relative risks of mortality were lower in active participants (>/=1500 kcal x wk(-1)) in comparison with inactive participants (<1500 kcal x wk(-1)). CONCLUSION: This study highlights the inverse graded relationship between physical activity and all-cause mortality in men and women with CAD. Physical inactivity was a risk factor for mortality regardless of whether the subjects were men or women, old or very old, smokers or nonsmokers, lean or overweight, or otherwise healthy or unhealthy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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".