Effectiveness of a mindfulness intervention for older adults to improve emotional well‐being and cognitive function in a Chinese population: A randomized waitlist‐controlled trial
Bibliographic record
Abstract
BACKGROUND: To investigate the effect of a modified mindfulness-based stress reduction (mMBSR) program on mental well-being and cognitive function of older adults. METHOD: Two hundred and fourty-six participants were randomly assigned to mMBSR (n = 120) group or waitlist control group which received mMBSR at 2-month (n = 123). Data collected at baseline, 2 and 4 months after recruitment. PRIMARY OUTCOME: mental well-being: Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS). SECONDARY OUTCOMES: Five Facet Mindfulness Questionnaire Short Form, Montreal Cognitive Assessment (MOCA), Verbal Fluency Test (VFT), international shopping list test, self-compassion scale, peace of mind scale, geriatric depression scale (GDS), and Pittsburgh sleep quality index (PSQI). In modified-intention-to-treat analysis, paired t-test for within group comparison, and ANCOVA to compare group differences at 2-months with adjustment of baseline values. RESULTS: Most participants were female (83.7%), living with others (67.0%), and married (50.7%). No significant difference of baseline characteristics except sleep quality. At 2 months, intervention group reported better mental well-being (0.9, 95%CI: 0.1-1.8, p = 0.025) and less depressive symptoms (-1.0; 95%CI: -1.7 to -0.3, p = 0.004). Within group at 2 months, intervention group had improvement in: mental well-being (SWEMWBS: 22.5-23.4, p = 0.011), cognitive function (MOCA: 24.6-25.8, p < 0.001; VFT: 38.7-42.1, p < 0.001), depressive symptoms (GDS: 4.1-3.1, p < 0.001), and sleep quality (PSQI: 8.3-6.7, p < 0.001). All these changes, except mental well-being, were sustained at 4 months. DISCUSSION: Attrition rate was 14% and mindfulness intervention was found to be feasible and acceptable in older adults. Major limitation of the study was the absence of an active control group to control for non-specific effect.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".