Examining predictors of physical activity among inactive middle-aged women: An application of the health action process approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study tested several relationships predicted by the Health Action Process Approach (HAPA) in a sample of 175 generally healthy, inactive, middle-aged women (40-65 yrs old) over a 12 week period. Participants' physical activity, risk perceptions, outcome expectancies, action self-efficacy and intention were measured at baseline. Planning and maintenance self-efficacy were measured 4 weeks later. Physical activity behaviour was measured 12 weeks after baseline. The HAPA relationships were examined using a structural equation model. The data fit the model well and revealed several significant relationships. Action self-efficacy was the best predictor of intention. Maintenance self-efficacy was the best predictor of planning and behaviour. Contrary to the tenets of HAPA and to past research, planning did not predict behaviour. Overall, HAPA provides a useful framework for identifying determinants of physical activity intentions and behaviour within a group of inactive, middle-aged women.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it