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Record W7116919325 · doi:10.1002/alz70860_104957

Efficacy of a cognitive and leisure‐based training program for older adults with a memory complaint: Results of the ENGAGE trial

2025· article· en· W7116919325 on OpenAlexaffabout
Sylvie Belleville, Aline Moussard, Ana‐Inès Ansaldo, Patrícia Belchior, Louis Bherer, Nathalie Bier, Véronique D. Bohbot, Lola L. Cuddy, Brigitte Gilbert, Regina Jokel, Kelly J. Murphy, Natasha Rajah, Elizabeth Rochon, Jason Steffener, Angela K. Troyer, Nicole Anderson

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsDouglas Mental Health University InstituteToronto Rehabilitation InstituteBaycrest HospitalHealth Sciences CentreUniversity Health NetworkUniversity of TorontoQueen's UniversityInstitut Universitaire de Gériatrie de MontréalMontreal Heart InstituteUniversity of OttawaMcGill UniversitySpringboard (Canada)Université de Montréal
Fundersnot available
KeywordsCognitive trainingDementiaCognitionPsychological interventionTraining (meteorology)Cognitive declineFormal educationCognitive rehabilitation therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Cognitive training is recognized as an efficient approach to improve cognition in older adults at risk for dementia. Real-world interventions that are more globally stimulating could have a greater impact on cognition than typical cognitive training programs - particularly for individuals with lower levels of education, a key risk factor for dementia. Team 10 of the Canadian Consortium on Neurodegeneration in Aging developed ENGAGE. ENGAGE is a 4-month multifaceted program combining memory and attentional training with stimulating leisure activities. This study aimed to assess its efficacy in older adults with subjective cognitive decline or mild cognitive impairment. METHOD: This was a randomized controlled preference trial (trial #alz104957). One hundred and twenty-eight participants were enrolled in two sites, CRIUGM (Montreal) and Baycrest (Toronto). There were two consecutive randomizations: a) randomization to ENGAGE-MUSIC/SPANISH intervention vs. an active control intervention (ENGAGE-DISCOVERY); b) randomization to SPANISH vs. MUSIC. The MUSIC and SPANISH conditions combined Music or Spanish learning with formal cognitive training. This was a preference trial, so patients could exclude Spanish or Music prior to randomization. A mixed linear model assessed PRE vs. POST changes on composite scores of memory and attention, cognition in everyday life, and use of memory strategies. Secondary analyses examined whether there were different intervention effects when comparing the MUSIC and SPANISH groups to the control intervention separately. RESULT: The composite score of attention and the use of memory strategies in daily life showed larger pre-post-training effects in the ENGAGE-MUSIC/SPANISH intervention group than in the active control intervention, yielding a significant Intervention x Time interaction. The composite score of memory and the test of cognition in everyday life improved with time, but there was no significant interaction with intervention. Secondary analyses of the two leisure groups only identified differences in the attention composite, where SPANISH participants had a greater beneficial effect than the MUSIC participants. CONCLUSION: The ENGAGE program significantly improved attention and everyday memory strategy use, with differential effects of Spanish and Music. This indicates that interventions combining leisure activities with formal cognitive training have the potential for mitigating cognitive decline and reducing dementia risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.039
GPT teacher head0.343
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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