Web-Based Physical Activity Interventions Are Feasible and Beneficial Solutions to Prevent Physical and Mental Health Declines in Community-Dwelling Older Adults During Isolation Periods
Bibliographic record
Abstract
BACKGROUND: Periods of prolonged lockdown increase the risk of physical inactivity, which can contribute to physical decline among older adults. Online technology could be an innovative solution to promote physical activity (PA) habits in this context. The goal of this study was to examine and compare the acceptability, feasibility, and potential benefits of 2 modalities of web-based PA interventions in older adults during the coronavirus disease 2019 lockdown. METHODS: Eighty-three nonphysically active community-dwelling older adults (aged 60 and older) were randomized to a 12-week web-based PA intervention delivered either in a live group (LG; n = 38) or a recorded group (RG; n = 45). Acceptability, feasibility as well as functional capacities, physical performance, quality of life, and PA level were assessed pre and postintervention. RESULTS: There were fewer dropouts in the LG than RG (LG: 16% vs RG: 46%). However, adherence rate (LG: 89%; RG: 81%), level of satisfaction (LG: 77% vs RG: 64%), and enjoyment (LG: 68% vs RG: 62%) were similar across groups, even if the participants found the intervention slightly difficult (LG: 58% vs RG: 63%). Both groups significantly improved on functional capacities, physical performance, and quality of life. Only the LG showed significant improvements in perceived health and PA level. The LG showed greater improvements in physical performance and quality of life than the RG. CONCLUSION: Web-based PA interventions are feasible, acceptable, and beneficial for improving functional capacities and physical performance during periods of lockdown. However, the interactive web and live modalities appear to be more effective for promoting some of these outcomes than recorded and individual modalities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".