Beneficial effects of multisensory and cognitive stimulation in institutionalized elderly: 12-months follow-up
Bibliographic record
Abstract
We previously demonstrated the beneficial effects of a multisensory and cognitive stimulation program, consisting of 48 sessions, twice a week, to improve the cognition of elderly subjects living either in long-term care institutions (institutionalized - I) or in communities with their families (noninstitutionalized - NI). In the present study, we evaluated these subjects after the end of the intervention and compared the rate of age-related cognitive decline of those living in an enriched community environment (NI group, n=15, 74.1±3.9 years old) with those living in the impoverished environment of long-term care institutions (I group, n=20, 75.1±6.8 years old). Both groups participated fully in our stimulation program. Over 1 year, we conducted revaluations at five time points (2 months, 4 months, 6 months, 8 months, and 12 months) after the completion of the intervention. Both elderly groups were evaluated with the mini-mental state examination and selected language tests. Progressive cognitive decline was observed in both groups over the period. Indeed, it took only 4-6 months after the end of the stimulation program for significant reductions in language test scores to become apparent. However, earlier reductions in test scores were mainly associated with I group, and linguistic prosody test scores were significantly affected by institutionalization and time, two variables that interacted and reduced these scores. Moreover, I group reduced the Montréal cognitive assessment battery language tests scores 4 months before NI group. It remains to be investigated what mechanisms may explain the earlier and more intense language losses in institutionalized elderly.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".