Correlates of Physical Activity among Blacks and Whites with Arthritis
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To evaluate the correlates of physical activity (PA) participation among white and black individuals with diagnosed arthritis. METHODS: This study used a cross-sectional design, grounded in the Social Ecological Model. Participants (N = 205) completed a survey regarding PA participation and potential correlates of PA. Bivariate and multivariate analyses were used to examine the correlates of PA. RESULTS: Nearly 30% of the population met the current guidelines for aerobic PA. A greater proportion of Whites (35.3%) than Blacks (20.9%) met current guidelines (χ(2) = 4.98, p = .03). In bivariate analyses, ethnicity, income, body mass index, self-efficacy for exercise, exercise outcome expectations, physical function, physician advice to exercise, and perceived safety from neighborhood crime and traffic were associated with meeting PA guidelines (p < .05). In regression analyses adjusted for socio-demographic characteristics, exercise self-efficacy and physician's advice to exercise were the only significant predictors of PA (p < .05). This finding was confirmed with stepwise forward regression. CONCLUSIONS: PA interventions for people with arthritis should focus on enhancing self-efficacy for exercise and include strategies to optimize communication about PA by healthcare providers.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it