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Record W3159526064 · doi:10.3928/00989134-20210401-01

Effect of Increasing Physical Activity on Cognitive Function in Individuals With Mild Cognitive Impairment: A Knowledge Translation to Practice Pilot Project

2021· article· en· W3159526064 on OpenAlexaboutno aff
Gasong Yun Nickerson, Kate Shade

Bibliographic record

VenueJournal of Gerontological Nursing · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionMontreal Cognitive AssessmentCognitive impairmentPhysical therapyPhysical activityMedicinePsychologyGerontologyPhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

The purpose of the current pilot study was to determine if 12 weeks of increased physical activity improved cognitive function in individuals with mild cognitive impairment (MCI). Participants used commercial wearable technology to objectively measure daily steps. Participants wore an activity tracker for approximately 12 hours per day and received telephone support every 2 weeks. The Montreal Cognitive Assessment (MoCA) was used to measure pre/posttest cognitive function. Increased step count was positively correlated with improvement in cognitive function with a moderate effect size (Pearson's r = 0.55; p = 0.04); 5,396 steps per day was the decision boundary for MoCA score improvement. Increased physical activity over 12 weeks improved cognitive function in individuals with MCI. It is feasible for individuals with MCI to wear an activity tracker on a daily basis. [ Journal of Gerontological Nursing, 47 (5), 14–18.]

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)0.010
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.068
GPT teacher head0.422
Teacher spread0.355 · 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 designNon-randomized 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

Citations9
Published2021
Admission routes1
Has abstractyes

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Same venueJournal of Gerontological NursingSame topicDementia and Cognitive Impairment ResearchFrench-language works237,207