HOME-BASED EXERCISE PROGRAM IN OLDER ADULTS IMPROVING SLEEP QUALITY AND COGNITIVE FUNCTION
Bibliographic record
Abstract
Aging is associated with poor sleep quality and reduced cognitive function along with increased sedentary time, incorporating regular exercise may reverse these effects. However, travel and cost are often barriers to older adults engaging in regular exercise. The purpose of this study was to determine the effects of home-based exercise programming on improving the sleep quality and cognitive function of independent-living older adults. Older adults were recruited from area community centers to participate for 8-weeks in the home-based University of Lynchburg Active Aging Program (ULAAP). Endurance, strength, and balance exercises were prescribed using National Institute of Aging’s Exercise & Physical Activity Guidelines and ULAAP’s target: 150-minutes of weekly endurance, 2 days of 8 strength, and 8 balance exercises every week. Participants reported weekly progress to the research team. Physical activity (MET) and sedentary time (TSED) was assessed pre and post with the International Physical Activity Questionnaire. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), along with total sleep time (TST), sleep efficiency (SE), and cognitive function with the Montreal Cognitive Assessment version 7.2 (MOCA). 54 participants (Age = 69.9 ± 7.1 years) completed 88% of scheduled sessions over the 8-week program. We analyzed the effect of pre MOCA score amongst our variables and found no difference between the none (26 or more), mild (18-25), moderate (10-17) cognitive impairment groups. The 8-week home- based exercise program decreased sedentary time and increased METS per week while increasing quality of sleep, sleep efficiency, total sleep time and having no effect on cognitive function.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".