Feasibility of a Multidomain Intervention Program for Community‐Dwelling Older Adults Based on Implementation Science (J‐MINT Community)
Bibliographic record
Abstract
BACKGROUND: Dementia poses serious challenges for individuals and communities. We first piloted a 12-month multidomain program-encompassing exercise, nutrition, cognitive training, social engagement, and vascular risk management-in O City to assess feasibility. Building on these results, we then revised the intervention into a 6-month basic course plus a 6-month continuation class for H Town, aligning with municipal needs and the common practice of transitioning participants to self-directed groups. We also trained local instructors and assessed a structured process for participant enrollment and follow-up. METHOD: In 2023, we conducted a one-arm trial in O City with 80 community-dwelling older adults (aged 65-86). We defined feasibility as attendance at ≥60% of sessions over 12 months, and measured acceptability on a five-point scale. Cognitive function was monitored via the Japanese version of the Montreal Cognitive Assessment (MoCA-J; range 0-30), and food diversity was evaluated using a standardized questionnaire. In 2024, we implemented a revised format in H Town featuring a 6-month basic program followed by a 6-month continuation class. We employed a structured enrollment protocol comprising (1) identifying older adults with hypertension or hyperglycemia, (2) mailing invitations (n = 801), and (3) conducting an informational session. Three local instructors were trained, and we recorded participant enrollment and willingness to continue. RESULT: In O City, 75% of participants met the 12-month attendance criterion, and the mean acceptability score was 4.4 out of 5. Mean MoCA-J scores remained stable (22.8 ± 3.1 to 23.1 ± 3.5), while food diversity improved significantly (7.5 ± 2.8 to 8.4 ± 2.5; p = 0.008). In H Town, 33 older adults (4.1%) attended the informational session, and 19 enrolled. More than 70% indicated willingness to continue at personal cost after completing the revised program. CONCLUSION: Feasibility and acceptance of this multidomain dementia-prevention program were demonstrated in two municipalities through distinct implementation models. Findings from O City informed the 6-month structure in H Town, which aligns with local practices for transitioning participants to self-directed groups. Future controlled studies should further clarify cognitive and health outcomes and refine recruitment and follow-up strategies for broader community impact.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".