COMPARING EXERCISE DETERMINANTS BETWEEN BLACK AND WHITE OLDER ADULTS WITH HEART FAILURE
Bibliographic record
Abstract
Abstract Heart Failure (HF) is a leading cause of mortality among older-adults (OA); however, engaging in moderate-to-vigorous intensity of physical activity (MVPA) improves survival rates. Limited research has applied behavior theory to understand determinants of MVPA among OA with HF and compared the effects between races. This study aimed to use the Health Belief Model (HBM) to compare MVPA determinants between Black and White OA diagnosed with HF. Methods: The HF-ACTION Trial is a multi-site trial that helped facilitate physical activity among individuals with HF. The present study used structural equation modeling to test the change in HBM determinants and MVPA across 12 months among OA. Results: Participants were OA 72.28 (SD= 5.41) years old, (Black: n= 230; White, n= 441). The model found MVPA to be facilitated by perceived benefits (Black: β=.27, p=.001; White: β=.28; p<.001), self-efficacy (Black: β=.20, p=.003; White: β=.24; p<.001) and deterred by perceived barriers (Black: β=-.25, p=.001; White β=-.24; p<.001). Perceived threats deterred Black OA (β=-.23; p=.002) but not White OA (β=-.07; p=.278) from MVPA. Experimental arm predicted the development of self-efficacy (Black: β=.21. p=.001; White: β=.23; p=.001), and perceived benefits (Black: β=.21. p=.001; White: β=.23; p=.001) but not barriers (p>.05) for both races. Conclusions: Perceived barriers was a strong determinant to MVPA, and it was not resolved in the experimental arm for either race. The experimental arm did not resolve perceived threat, which was a deterrent for Black OA. Individual characteristics need to be considered when designing programs for HF patients to reduce health disparity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".