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Record W4414314111 · doi:10.1093/ageing/afaf242

Synergistic effects of exercise, cognitive training and vitamin D on gait performance and falls in mild cognitive impairment—secondary outcomes from the SYNERGIC trial

2025· article· en· W4414314111 on OpenAlexaff
Frederico Pieruccini‐Faria, Surim Son, Guangyong Zou, Quincy J. Almeida, Laura E. Middleton, Nick W. Bray, Maxime Lussier, J. Kevin Shoemaker, Mark Speechley, Teresa Liu‐Ambrose, Amer M. Burhan, Richard Camicioli, Karen Li, Sarah Fraser, Nicolas Berryman, Louis Bherer, Manuel Montero‐Odasso

Bibliographic record

VenueAge and Ageing · 2025
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecInstitut National de Santé Publique du QuébecUniversity of OttawaUniversité du Québec à MontréalConcordia UniversityWomen and Children’s Health Research InstituteOntario Shores Centre for Mental Health SciencesWestern UniversityUniversity of TorontoMontreal Clinical Research InstituteMontreal Heart InstituteUniversity of British ColumbiaUniversité de MontréalInstitut Universitaire de Gériatrie de MontréalVancouver Coastal Health Research InstituteVancouver Coastal HealthParkwood InstituteUniversity of WaterlooMemorial University of NewfoundlandResearch Institute for Aging
Fundersnot available
KeywordsGaitCognitionVitamin D and neurologyFalls in older adultsGait trainingCognitive trainingEffects of sleep deprivation on cognitive performanceFear of fallingCognitive impairment

Abstract

fetched live from OpenAlex

BACKGROUND: Older adults with mild cognitive impairment (MCI) have a higher risk of gait impairments and falls; yet, the effects of multimodal interventions, including combinations of exercises with cognitive training, on improving their mobility remain unclear. OBJECTIVES: To investigate the synergistic effects of aerobic-resistance exercise combined with cognitive training, with or without vitamin D supplementation, on gait performance and falls risk in older adults with MCI. METHODS: The effect of 20 weeks of aerobic-resistance exercise, cognitive training, and Vitamin D supplementation (10 000 IU 3×/week) on gait and falls in older adults with MCI was evaluated in the SYNERGIC trial, using a fractional factorial design. Assessments were conducted at baseline, 6-month endpoint (after intervention) and 12-month endpoint (follow-up). Eligible participants were between the ages of 65 and 84 years with MCI enrolled from 19 September 2016 to 7 April 2020. Main outcomes of interest for gait performance were gait speed and gait variability changes, whilst for falls were incidental falls and incidental injurious falls. RESULTS: Amongst 161 participants, the four exercise-based arms improved gait speed (+7.5 cm/s, P < .001) and reduced falls (incidence rate ratios (IRR) = 0.65, 95% confidence interval (CI): 0.32-1.42, P = .25) and injurious falls (IRR = 0.38, 95% CI: 0.15-1.05, P = .05) at 6-month endpoint. Falls reduction reached statistical significance (IRR = 0.28, 95% CI: 0.13-0.64, P = .002) at 12-month endpoint. Exercises combined with cognitive training showed the greatest gains in gait speed at 6-month endpoint (P < .001) and in reducing falls at 12-month endpoint (IRR = 0.24, 95% CI: 0.05-0.77, P = .02) compared to the control. Vitamin D did not enhance outcomes and increased gait variability, a marker of instability. CONCLUSION: Aerobic-resistance exercise combined with sequential computerised cognitive training improved gait performance at 6 months and decreased the risk of falls and injuries at 12 months in older adults with MCI. The addition of vitamin D did not produce benefits.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.316
Teacher spread0.295 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2025
Admission routes1
Has abstractyes

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