P1‐070: EFFECTS OF MULTI‐DOMAIN COGNITIVE TRAINING ON COGNITIVE PERFORMANCE, DEPRESSIVE SYMPTOMS, AND QUALITY OF LIFE IN COMMUNITY‐DWELLING ELDERLY
Bibliographic record
Abstract
This study was to examine whether a multi-domain, group-based cognitive training could enhance cognitive performance, depressive symptoms, and quality of life in community-dwelling elderly. We recruited the participants of this study via local Community Health Centers and Senior Welfare Centers. Aged over 60 years were included in this study regardless of their level of cognitive functioning. The cognitive training was delivered in 60 minutes per session and 15 sessions in total. It was paper-based, group activities and covering multi-domains of cognition. Before and after the intervention participants’ cognitive performance, depressive symptoms, and quality of life were evaluated. The primary outcome measure was the Montreal Cognitive Assessment-Korean version (MoCA-K). The secondary outcome measures were Geriatric Depression Scale-Short Form (GDS-SF) and Geriatric Quality of Life-Dementia (GQoL-D). Data were analyzed via R i386 3.4.4. 206 elderly participated in and 162 data were eligible to analyze. The mean age of the subjects was 80.4 ± 6.5, and 85% of them were female. The MoCA-K score was significantly increased from 17.3 ± 6.4 to 19.4 ± 6.8 (p<0.001). GDS-SF score was decreased from 5.0 ± 3.9 to 4.4 ± 3.4 (p=0.004) and GQoL-D score was significantly increased (from 43.4 ± 13.8 to 45.0 ± 13.0, p=0.026). Score difference in MoCA-K was correlated with age (r=0.20), self efficiency (r=0.18), social support (r=0.22), and baseline MoCA-K score (r=-0.21). Regression analysis showed that the score difference in MoCA-K was influenced by age, social support, and baseline MoCA-K score (adjusted R2 = 0.295). Multi-domain, paper-based cognitive training improved the score on MoCA-K, GDS-SF, and GQoL-D. This study suggested that a structuralized multi-domain cognitive training could enhance cognitive performance as well as depressive symptom and quality of life in community-dwelling elderly.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".