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Record W7116987190 · doi:10.1002/alz70861_108823

Resistance exercise improves working memory, but not set shifting in older adults at risk for diabetes

2025· article· en· W7116987190 on OpenAlexaffabout
Olivia R. Ghosh‐Swaby, Jennifer Hanna Al‐Shaikh, Jane S Thornton, Ali R. Khan, Daniel Palmer, Paul A. S. Sheppard, Joyla A. Furlano, Teresa Liu‐Ambrose, Timothy J. Bussey, Lisa M Saksida, Lindsay S. Nagamatsu

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsRobarts Clinical TrialsVancouver Coastal HealthUniversity of British ColumbiaQueen's UniversityWestern University
Fundersnot available
KeywordsResistance trainingCognitionIntervention (counseling)Diabetes mellitusSet (abstract data type)Cognitive trainingType 2 diabetesCognitive decline

Abstract

fetched live from OpenAlex

BACKGROUND: Older adults at risk for type 2 diabetes (T2D) experience cognitive decline and brain health abnormalities, highlighting the need for early interventions. Resistance exercise training (RT) holds promise as a strategy to improve executive function, mitigate T2D risk factors, and support neuroplasticity, especially in aging. This study evaluated the effects of a 6-month RT intervention compared to balance-and-tone (BAT; active control) exercise on cognitive outcomes, particularly set shifting, physiological measures, and biomarkers in older adults at risk for T2D. METHODS: Sixty community-dwelling adults (aged 60-80 years) with risk factors for diabetes (body mass index ≥25, fasting glucose 6.1-7.0 mmol/L, or CANRISK score ≥21) were randomized to twice-weekly RT or BAT classes. Primary outcomes included set-shifting performance and cognitive flexibility (Trail Making Test [TMT] Part B; TMT-B minus TMT-A). Secondary outcomes encompassed working memory (Digit Span Backward), global cognitive scores (Montreal Cognitive Assessment (MoCA), Alzheimer's Disease Assessment Scale [ADAS-Cog-11]) and associative learning using a novel Bussey-Saksida touchscreen cognitive task nearly identical to its rodent version. Additionally, Measures of mobility, fitness, glycemic control, and biomarkers were examined (brain derived neurotrophic factor, BDNF, insulin growth factor-1, IGF-1). An ANCOVA and repeated measures ANOVA was used to assess intervention effects on outcomes at endpoint and over time, respectively, with baseline performance and adherence as covariates (p <0.050 significant). RESULTS: RT improved working memory (Digit Span Backward; p = 0.024) compared to BAT at endpoint, with a trend toward enhanced cognitive flexibility over time (TMT-B minus TMT-A; p = 0.049). No significant differences were observed in global cognitive scores (MoCA, ADAS-Cog-11). Bussey-Saksida touchscreen tasks were adapted and validated for human use. Participants showed low accuracy on paired associative learning (54-64% ± 4% accuracy), irrespective of training group. RT improved lower body strength over time (p =0.036), with no changes in glycemic levels. IGF-1 levels decreased in the RT group (p = 0.037), with no changes in BDNF. CONCLUSIONS: Resistance exercise training offers targeted cognitive benefits in older adults at risk for diabetes, suggesting its potential as an intervention to address both T2D risk factors and cognitive decline. Further studies should explore long-term impacts on brain structure and function.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.018
GPT teacher head0.294
Teacher spread0.276 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

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