Intellectual and physical activities, but not social activities, are associated with better global cognition: a multi-site evaluation of the cognition and lifestyle activity study for seniors in Asia (CLASSA)
Bibliographic record
Abstract
BACKGROUND: population ageing will lead to a leap in the dementia population in Asia. However, information about potentials for low-cost and low-risk interventions is limited. OBJECTIVES: to study the associations between lifestyle activities and global cognition from the Cognitive and Lifestyle Activity Study for Seniors in Asia (CLASSA). DESIGN: a cross-sectional study. METHODOLOGY: we studied the association between global cognition and lifestyle activity participation in community living older adults (60 years or over) across nine sites in East Asia. A standardised lifestyle activity questionnaire exploring activities from four categories (intellectual, physical, social and recreational) was used to measure the pattern. Global cognition was categorised by locally validated versions of Mini-mental state examination (MMSE) or Montreal Cognitive Assessment (MoCA) (good cognition, GC-scored at the top 25% among participants with no significant cognitive deficit (SCD); normal cognition, NC-middle 50% among participants with no SCD; mild cognitive deficit, MCD-lowest 25% among participants with no SCD; SCD-below local cut-offs for dementia). RESULTS: two thousand four hundred and four (1,009 men; 1,395 women) participants were recruited. The mean age was 71.0 (7.2) years. A higher variety of intellectual and physical activities were associated with GC; more social activities were associated with higher risks of having impaired cognition (multinomial logistic regression). The same association was found in participants with no SCD and had regular activities for over 10 years (n = 574). CONCLUSION: intellectual activity and physical exercise were associated with better cognitive states in Asian older adults. Community-based intervention may take considerations into specific types of activities to optimise cognition.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".