DETERMINANTS OF PHYSICAL ACTIVITY IN COMMUNITY-DWELLING OLDER ADULTS: AN UMBRELLA REVIEW
Bibliographic record
Abstract
Abstract Physical activity (PA) is an important modifiable factor for noncommunicable diseases, mental health, and functional trajectories as we age. The World Health Organization highlights the need to mobilize policies targeted toward modifiable determinants of healthy aging. Therefore, understanding the current evidence for PA determinants is crucial to achieving these goals. This umbrella review aimed to summarize the determinants of PA in older adults. A research librarian searched six databases. Systematic and scoping reviews were included if they investigated community-dwelling people with a mean age of 60 years or older and examined a relationship between any type of PA and a determinant. Two independent reviewers screened 17,277 references and 11 reviews were ultimately included. Of the countries reported, 78% were high-income and zero were lower-income countries. Three of the eleven reviews focused on specific clinical populations living in the community. Only 6% of studies included in all reviews had longitudinal designs. Included studies focused on a variety of types of PA (e.g., total PA, walking, leisure-time PA) and measures of PA, with 76% using self-report, 15% using direct measures (e.g., accelerometry), 3% using both types, and 6% with no outcome measure reported. Physical environment determinants were the most commonly assessed (6/11) with more than 70% of the summarized relationships demonstrating null associations. Three out of four reviews reported a positive relationship between walkability and PA in general community-dwelling older adults. Further prospective longitudinal studies are needed to improve our current understanding of the determinants of PA in community-living older people.
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.019 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".