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Record W4411272845 · doi:10.1186/s11556-025-00376-9

Physical fitness and incident mild cognitive impairment: a systematic review

2025· review· en· W4411272845 on OpenAlexaboutno aff
Matteo Reiner Bergmann, Yonas E. Geda, Klaus Boes, Alexander Wöll, Janina Krell‐Roesch

Bibliographic record

VenueEuropean Review of Aging and Physical Activity · 2025
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
FundersBarrow Neurological Foundation
KeywordsCognitive impairmentHuman physiologyBehavioural sciencesCognitionGerontologyPhysical fitnessMedicinePsychologyPhysical medicine and rehabilitationPhysical therapyPsychiatryInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Higher physical fitness is associated with various health outcomes, including decreased dementia risk. Little is known as to whether physical fitness is also associated with new onset of mild cognitive impairment (MCI). Our aim was to provide an overview of longitudinal research on the associations between physical fitness and the risk of incident MCI. METHODS: We conducted a systematic literature review that examined associations between different components of physical fitness such as strength or endurance with incident MCI in older adults. We searched PubMed, Scopus, and Web of Science databases for longitudinal and/ or prospective cohort studies published in English or German. Screening was performed independently by two authors, and quality of included studies was assessed using the Newcastle Ottawa Scale. RESULTS: The search yielded 12,298 studies, of which 19 were included in the review, with follow-up times ranging from 2 to 26 years, and sample sizes ranging from 87 to 995,243 persons. Thirteen studies that examined associations between strength, variables related to muscle quality and function with incident MCI revealed inconsistent findings, e.g., six studies showed that lower handgrip strength was associated with higher MCI risk or that higher handgrip strength was associated with decreased MCI risk, respectively; while five studies reported no associations between handgrip strength and MCI risk or only for females. One study reported associations between lower cardiovascular fitness and increased risk of MCI. Twelve studies examined associations between balance, mobility and gait-related variables, mainly focusing on gait speed, but results were inconsistent, e.g., while some reported associations between slower gait speed and increased MCI risk, others did not or only in subgroups. Five studies reported associations between higher global/ composite fitness scores and decreased risk of incident MCI. Quality of included studies was rated as good. CONCLUSION: Higher cardiovascular and overall physical fitness is associated with a decreased risk of incident MCI. There are inconsistent associations between strength, balance- or gait-related variables and MCI risk. These findings indicate the importance of overall and cardiovascular physical fitness to potentially delay new onset of MCI. More research is needed to confirm these observations, and to untangle mechanisms underlying the associations between physical fitness components and MCI 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)0.005
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0100.011
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.345
Teacher spread0.318 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes1
Has abstractyes

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