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Aerobic Fitness Levels Relate To Cognitive Function In People With Parkinson's Disease

2023· article· en· W4387062987 on OpenAlexaboutno aff
John G. Wallace, Kaylie Zapanta, Todd Schroeder, Beth E. Fisher

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2023
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAerobic exerciseCognitionPsychologyPhysical fitnessTest (biology)CategorizationVO2 maxPhysical medicine and rehabilitationPhysical therapyGerontologyMedicinePsychiatryInternal medicineHeart rateBiology

Abstract

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Aerobic Fitness Level Relates to Cognitive Function in People with Parkinson’s Disease as Assessed by the 6 Minute Walk Test JOHN WALLACE, KAYLIE ZAPANTA, TODD SCHROEDER, FASCM, BETH FISHER INTRODUCTION: While individuals with Parkinson’s disease (PD) present with impaired motor control, 26% demonstrate cognitive impairment independent of dementia1. In fact, cognitive dysfunction often predates motor impairments and can diminish quality of life2 as well as life expectancy3. Fortunately, aerobic exercise has been shown to improve cognition in older adults4 as well as PD patients5-7. However, only a limited number of studies have determined a clear relationship between aerobic fitness levels and cognition in people with PD. Determining whether cognitive status and aerobic fitness levels are associated in people with PD would provide greater evidence for intervention focused on aerobic fitness that has a goal of improving cognition. Using the 6-minute walk test (6MWT), we were able to categorize participants based on their aerobic fitness levels9. This categorization allowed us to test the relationship between cognitive status and aerobic fitness. PURPOSE: The purpose of this study is to identify differences in cognition in people with PD who meet aerobic fitness norms compared to those who do not meet aerobic fitness norms. METHODS: 19 people with PD (Hoehn & Yahr stages I-III) were recruited. Aerobic fitness was assessed via estimated oxygen consumption using the 6MWT (VO2 peak) This test has shown test-retest reliability in people with PD8. 6MWT classifications were used to determine if participants met (PD-HI) or did not meet fitness norms (PD-LO). Cognitive function was assessed via the Montreal Cognitive Assessment (MoCA) and scored out of 30 points. To compare the two groups, a Welch’s Two Sample T-Test was performed using the R Statistical Program, and p-values were set to <0.05. RESULTS: The PD-HI group (n = 9) had a mean MoCA score of 26.0(+/-1.5). The PD-LO group (n = 10) had a mean MoCA score of 22.4(+/-3.2). The PD-HI group had significantly higher MoCA scores compared with the PD-LO group (p = 0.004). CONCLUSION: This study is one of the first to observe a relationship between increased MoCA scores and high aerobic fitness status in populations with PD.

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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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.278
Teacher spread0.260 · 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
Published2023
Admission routes1
Has abstractyes

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