Self-Reported Physical Activity Among Older Acadians
Bibliographic record
Abstract
North American society is aging. Individuals who are older are often confronted with a variety of issues such as transportation, health care, adequate income, and maintaining physical activity levels. Older adults are not a homogeneous group, for instance, Canadian society has been mainly composed of two cultures, English and French. The purpose of this study was to examine the contribution of demographic, health, and lifestyle variables on the self-reported physical activity of 1,281 older Acadians, residing in Eastern Canada. The demographic variables included age, sex, and education, while the health variables comprised self-perceived health and functional limitations. Four lifestyle variables were included: control, smoking, drinking, and social activity. A hierarchical regression analysis determined the contribution of these variables on self-reported physical activity. All variables were significant except for age, control and drinking, which accounted for 17% of the variance. Although health accounts for a greater percentage of the variance, lifestyle variables did contribute significantly to the model. The findings served to reinforce the need to further examine the contribution of lifestyle variables on self-reported physical activity in older Acadians.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".