Seasonality and climate change: Challenges for physical activity in older adults
Bibliographic record
Abstract
Seasonality and climate change: Challenges for physical activity in older adults Research indicates seasonal variations in physical activity levels among adults in different climates due to temperature and humidity. Climate change’s increasing extreme weather may significantly affect physical activity in older adults already struggling to meet activity guidelines. Isabelle J. Dionne from the Université de Sherbrooke explains. Physical activity (PA) is a key behavior in the determination of health and quality of life of older adults but remains low in developed countries. The environment where PA is practiced is emerging as a significant motivation factor to adhere to PA in adult populations, and natural environments are now being promoted as a favorable milieu. Indeed, PA practiced in natural environments was associated with greater feelings of revitalization and positive engagement, decreases in tension and depression, and increased energy compared with exercising in synthetic environments such as indoors. Because outdoor PA, also called ‘green PA,’ is associated with higher adherence to a program than the same indoor intervention, a better understanding of how safe outdoor PA can be practiced all year round seems a promising avenue for health promotion.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".