Exercise, Physical Activity and Healthcare Utilization: A Review of Literature for Older Adults
Bibliographic record
Abstract
The impacts of exercise and physical activity on healthcare utilization of older adults have been studied using either (1) clinical trials or retrospective cohort studies focusing on older people who participated in various exercise intervention programs, or (2) survey data. This review focuses on both streams of studies which cover the topic for adults aged 65 and older. The paper reviews the literature on physical activity and its implications for healthcare system, and discusses potential directions for future research by highlighting the limitations of the existing studies.Although there are significant variations in samples and methods used, both streams of reviewed literature provide evidence that physical activity leads to lower utilization of healthcare services. Given differences in methods and samples in these studies, estimated effect of physical activity on healthcare utilization shows significant variation from one study to another. These results, therefore, cannot be generalized to justify population wide exercise intervention programs for older adults. Additional studies are needed to provide more robust estimates for the effects of exercise, and to examine the feasibility of population wide policies that aim to encourage participation of older adults in physical activity.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".