Role of Yoga on Sleep and Quality of Life among Elderly.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the elderly, the majority of health problems are addressed by health care. However, sleep and quality of life in old age are overlooked while managing old age challenges. The present study aimed to do a literary review to find the role of Yoga on sleep and quality of life among the elderly and to conduct a prospective pilot study aimed to assess the sleep quality and quality of life among elderly with mild cognitive impairment (MCI). In a thorough review on Google scholar and pub med, we come across a total of 20 clinical trials which assessed sleep and/or quality of life. In the prospective pilot study, twenty-seven community-dwelling elderly (aged 62.22±6.01, male-14) having MCI were recruited. Weekly, six sessions of Integrated Yoga (IY) were administered to all the participants for eight weeks. Each session was of 60 minutes. Assessment for MCI was done by using Montreal Cognitive Assessment (MoCA). Participants were assessed before and after intervention for change in sleep quality by using the Pittsburgh Sleep Quality Index (PSQI) and quality of life by Quality of life scale (CASP-19). A Shapiro-Wilk test shown significant improvement in Sleep quality W(26) = -3.76, P= 0.001, and quality of life W(26)= -4.29, P=0.001 at the end of eight weeks, compared to baseline scores. We conclude that Yoga intervention is an effective and potential tool to enhance sleep quality and quality of life among the elderly. However, generalizations of results have limitations. Further studies with strong methodology, large sample size and active control group, and objective outcomes might add value to this work.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it