Evidence map›Paper›PMID 38206881›Full record

Trial reportPhysical therapy2024

Use of a Home-Based, Commercial Exercise Platform to Remotely Monitor Aerobic Exercise Adherence and Intensity in People With Parkinson Disease.

Anson B Rosenfeldt, Cielita Lopez-Lennon, Erin Suttman, A Elizabeth Jansen, Kelsey Owen, Leland E Dibble, Jay L Alberts

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Physical therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04000360 (Pragmatic Cyclical Lower Extremity Exercise Trial for Parkinson's Disease), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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.

NCT04000360 nacompletednot on this map

Pragmatic Cyclical Lower Extremity Exercise Trial for Parkinson's Disease

TypeinterventionalSponsorThe Cleveland ClinicRan2019 to 2023Enrolled256ConditionsParkinson DiseaseArmsHigh-Intensity Aerobic Exercise (AE), Usual and Customary Care (UCC)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. 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

7 authors.

Anson B RosenfeldtDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0001-5468-8208
Cielita Lopez-LennonDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, Utah, USA.
Erin SuttmanDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, Utah, USA.
A Elizabeth JansenDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio, USA.
Kelsey OwenCenter for Neurological Restoration, Cleveland Clinic, Cleveland, Ohio, USA.
Leland E DibbleDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, Utah, USA.
Jay L AlbertsDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-9379-3630

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
The Cyclical Lower-extremity Exercise for Parkinson's TrialR01NS073717 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI ALBERTS, JAY L. · 2011 to 2023
$4.8M
NCATS NIH HHS UM1 TR004409NIH HHS 2R01NS073717-06A1NINDS NIH HHS R01 NS073717
6 · The paper itself

Abstract

objectivePhysical therapists are well-positioned to prescribe exercise outside of a clinical setting to promote positive health behaviors in people with Parkinson disease (PD). Traditionally, a barrier to precise exercise prescription has been reliance on participant self-reported exercise adherence and intensity. Home-based, commercially available exercise platforms offer an opportunity to remotely monitor exercise behavior and facilitate adherence based on objective performance metrics. The primary aim of this project was to characterize the feasibility and processes of remote aerobic exercise data monitoring from a home-based, commercially available platform in individuals participating in the 12-month Cyclical Lower Extremity Exercise for PD II (CYCLE-II) randomized clinical trial. Secondary aims focused on using exercise behavior to classify the cohort into exercise archetypes and describing a shared decision-making process to facilitate exercise adherence.

methodsData from each exercise session were extracted, visualized, and filtered to ensure ride integrity. Weekly exercise frequency was used to determine exercise archetypes: Adherent (2-4 exercise sessions per week), Over-adherent (>4 exercise sessions per week), and Under-adherent (<2 exercise sessions per week).

resultsA total of 123 people with PD completed 22,000+ exercise sessions. Analysis of exercise frequency indicated that 79% of participants were adherent; 8% were over-adherent; and 13% were under-adherent. Three case reports illustrate how shared decision-making with the use of exercise performance data points guided exercise prescription.

conclusionsThe number of exercise sessions and completeness of the data indicate that people with PD were able to utilize a commercial, home-based exercise platform to successfully engage in long-term aerobic exercise. Physical therapists can use objective data as a part of a shared decision-making process to facilitate exercise adherence. IMPACT: Commercially available exercise platforms offer a unique approach for physical therapists to monitor exercise behavior outside of a clinical setting. The methods used in this project can serve as a roadmap to utilizing data from consumer-based platforms.

Indexed as

Parkinson DiseaseExerciseExercise TherapyHealth BehaviorHumansAerobic ExerciseCyclingExercise AdherenceParkinson Disease

Identifiers

PMID38206881
PMCPMC10851856

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.