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Record W4386740610 · doi:10.1177/15598276231201555

The Role of Physical Exercise in Cognitive Preservation: A Systematic Review

2023· review· en· W4386740610 on OpenAlexaff
Matt Kaufman, Paige Dyrek, Michael Fredericson, Marily Oppezzo, Megan Roche, Levi Frehlich, Douglas L. Noordsy

Bibliographic record

VenueAmerican Journal of Lifestyle Medicine · 2023
Typereview
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCognitionDementiaNeurocognitiveCognitive declinePhysical medicine and rehabilitationRandomized controlled trialIntervention (counseling)Physical exerciseGerontologyPhysical therapyPsychiatryDisease

Abstract

fetched live from OpenAlex

Dementia, or major neurocognitive disorder, is one of the most common causes of disability and dependency in older adults with far-reaching social, physical, and economic impacts. In the absence of adequate treatment, much research has been directed towards prevention. Physical exercise has been shown to increase cerebral blood flow, amplify production of neurotrophic factors, and enhance brain volume. Whether these changes on a structural and cellular level result in cognitive preservation is less clear. This systematic review synthesizes findings from seventeen randomized controlled trials that examine the effects of physical activity on global cognition, memory, and executive function in older adults. Cognitive benefits of exercise are strongest for those who are cognitively intact or with mild cognitive impairment. In studies with long-term follow up, cognitive gains tended to decay after cessation of physical intervention suggesting that sustained physical exercise may be required to preserve cognitive function in older adults prior to onset of dementia.

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)0.004
metaresearch head score (Gemma)0.018
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 score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0060.007
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
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 head0.041
GPT teacher head0.409
Teacher spread0.369 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Lifestyle MedicineSame topicDementia and Cognitive Impairment ResearchFrench-language works237,207