AGE, FUTURE TIME PERSPECTIVE, AND EVERYDAY PHYSICAL ACTIVITY AND NUTRITION IN COUPLES POST STROKE
Bibliographic record
Abstract
Abstract Physical activity and fruit/vegetable consumption are recommended to help prevent and manage cardiovascular disease. Yet, most people struggle to meet physical activity and nutrition guidelines. This study examined the role of age and future time perspective for these two health behaviors using repeated daily life assessments as well as accelerometry-based step counts from 70 persons living with the effects of stroke and their partners (50% female, M age=69 years). Consistent with previous research, older age and living with stroke were associated with taking fewer steps in everyday life but also with consuming more fruit and vegetables. Furthermore, participants who viewed their future as being filled with many opportunities took more daily steps and ate more fruit and vegetables than participants low in future opportunities. Further analyses will examine dyadic associations in these two health behaviors as well as partner factors that may facilitate or hamper the engagement of the behaviors. It is important to analyze these relationships to gain further insight into the effects partners have on each other.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".