Effects of remote home-based exercise program on functional capacity and perceived loneliness in older adults during COVID-19 lockdown
Bibliographic record
Abstract
Abstract Objective to determine the effects of a simple home-based exercise program on functional capacity and perceived loneliness of older adults in lockdown due to the COVID-19 pandemic. Method Twenty-nine volunteers were randomly divided into two groups: (1) control group (CG); and (2) home-based exercise group (HBEG). Lower limb muscle strength, functional capacity, and perceived loneliness were assessed at baseline (pre-test), 4 weeks, and 8 weeks (post-test) using the Chair Standing Test (CST), Gait Speed Test (GST), Timed Up and Go test (TUG), and Perceived Loneliness Scale (PLS). Results The number of repetitions on the CST differed statistically between the groups (CG vs. HBEP, p=0.006) and among timepoints (Pre vs. 4W vs. 8W, p=0.043.). In the CG group, TUG test completion time was statistically lower at baseline than at 8 weeks (p=0.021) (pre 12.0±5.9 s vs. 8W 12.7±6.5 s). There was no statistical difference in TUG time in the HBEG. No statistical differences were found on the GST and PSL between groups or among timepoints. Conclusion The home-based exercise program improved general functional capacity after 8 weeks of training, but perceived loneliness and gait speed were unchanged in the older adults experiencing lockdown due to the COVID-19 pandemic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".