Everyday moderate-to-vigorous physical activity in stroke survivors: the role of individual and joint intentions and self-efficacy
Bibliographic record
Abstract
OBJECTIVES: Corroborate and extend previous evidence on individual intentions and self-efficacy for moderate-to-vigorous physical activity in a sample of stroke survivors. Examine associations between joint (with their romantic partner) intentions and self-efficacy for moderate-to-vigorous physical activity. METHODS: = 10.79; 73% male; 35% with college degree; 82% White) reported their individual and joint intentions and self-efficacy in the morning, minutes engaged in moderate-to-vigorous physical activity in the evening and wore physical activity monitors. RESULTS: Individual self-efficacy was not related to moderate-to-vigorous physical activity, but individual intentions were associated with higher self-reported moderate-to-vigorous physical activity minutes. Joint variables (intentions and self-efficacy) were found to predict self-reported moderate-to-vigorous physical activity minutes, but not accelerometer-measured moderate-to-vigorous physical activity. CONCLUSION: Findings shed light on when and how individual intentions and intentions involving one's spouse are beneficial for moderate-to-vigorous physical activity among individuals living with the effects of a stroke.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".