Evidence map›Paper›PMID 40756809›Full record

ArticleClinical parkinsonism & related disorders2025

Longitudinal associations between physical performance and cognition in individuals with Parkinson's disease.

Andrew J Petkus, Ryan P Foreman, Matthew Pilgrim, Aram Kim, Elise Hong, Beth E Fisher, John D Van Horn, David Wing, Michael W Jakowec, Dawn M Schiehser and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Clinical parkinsonism & related disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07264114 (The Effect of Aquatic High-Intensity Interval Training on Balance, Physical Function, and Sarcopenia in Patients With Parkinson's Disease), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07264114 nacompletednot on this map

The Effect of Aquatic High-Intensity Interval Training on Balance, Physical Function, and Sarcopenia in Patients With Parkinson's Disease: A Randomized Controlled Trial Protocol

TypeinterventionalSponsorPardis Specialized Wellness InstituteRan2025 to 2026Enrolled56ConditionsParkinson DiseaseArmsAquatic HIIT with adherence/support package
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Andrew J PetkusDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Ryan P ForemanDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Matthew PilgrimDepartment of Psychology, University of Southern California, Los Angeles, CA 90033, USA.
Aram KimDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA 90033, USA.
Elise HongDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Beth E FisherDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA 90033, USA.
John D Van HornSchool of Data Science and Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA.
David WingExercise and Physical Activity Resource Center, University of California at San Diego, San Diego, CA 92093, USA.
Michael W JakowecDepartment of Clinical Pharmacy, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Dawn M SchiehserVeterans Administration San Diego Healthcare System (VASDHS), San Diego, CA 92161, USA.
Giselle M PetzingerDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Declines in physical performance and cognition commonly occur in people with Parkinson's disease (PwPD) and negatively impacts Quality of Life. Understanding the cross-sectional and longitudinal associations between physical performance and cognition may provide guidance to prevent or treat their decline in PwPD. Objective: This study investigated the cross-sectional and longitudinal associations between physical performance and cognition in PwPD. Methods: Physical performance and cognition were evaluated at baseline and at two-year follow-up in PwPD. Physical performance was measured using Ten-Set Test, Time Up and Go, Physical Performance Test, and Short-Physical Performance Battery Test. Neuropsychological assessments included global cognition and domain-specific cognitive functions from which Mild Cognitive Impairment (MCI) status was ascertained. Regression analyses estimated baseline associations between physical performance and cognition and if changes in physical performance were associated with changes in cognition. Sub-analysis determined which physical performance test was most significantly associated with cognition. Results: At baseline, better physical performance was associated with lower odds of having MCI as well as better global cognition, attention, and executive function. Baseline physical performance was also associated with changes in executive function and attention (baseline to two-year follow-up). PwPD experiencing greater decline in physical performance experienced more decline in executive function and visuospatial skills. Conclusion: Physical performance and cognition are closely inter-related in PwPD. Findings are clinically relevant since impaired physical performance may inform those PwPD most likely to demonstrate greatest cognitive deficits over time and who may benefit from treatment strategies, such as neurorehabilitation, for improving cognition and reducing its decline.

Indexed as

CognitionDisease progressionExerciseMCIMotor behaviorNeuroplasticityRehabilitation

Identifiers

PMID40756809
PMCPMC12318346

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.