Effects of a 12-Week Hybrid Analog–Digital Cognitive Training on Cognitively Unimpaired Older Adults: A Pilot Single-Blind Randomized Controlled Trial
Bibliographic record
Abstract
Background and Purpose: Global population aging heightens concern about cognitive decline, underscoring the need for scalable interventions. While computerized cognitive training offers benefits, many seniors face device-related challenges that limit adherence, and facility-based programs pose logistical barriers. To address these, we evaluated a 12-week home-based Hybrid Analog-Digital Cognitive Training (HCT) program, which paired a sensor-embedded, pressure-sensitive paper workbook with a Bluetooth-linked television, to enhance usability and engagement among cognitively unimpaired (CU) older adults. Methods: In this single-blind, randomized controlled trial, 66 CU adults aged ≥60 years were allocated to HCT or control (each n=33) groups. Participants had literacy and Korean Mini-Mental State Examination scores above -1.5 standard deviation. The HCT group performed 30-minute sessions 5 times weekly for 12 weeks, while controls continued usual activities. Primary outcomes were changes in composite Z-scores for frontal, attention, and memory domains, derived from the Cambridge Neuropsychological Testing Automated Battery. Z-scores were direction-weighted and aggregated by domain. Between-group differences were analyzed using linear mixed-effects models. Results: =0.03), indicating improved executive function. No significant differences were found in attention or memory domains. Also, the HCT group exhibited improvements in psychological profiles. Conclusions: A home-based HCT program improved frontal executive function in CU older adults. The hybrid analog-digital design may help reduce digital barriers, support usability, and foster sustained participation. Larger trials with active controls, modality-specific comparators, and extended follow-up are warranted to confirm benefits and optimize delivery. Trial Registration: Clinical Research Information Service Identifier: KCT0007922.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".