Longitudinal analysis of step counts in Parkinson’s disease patients: insights from a web-based application and generalized additive model

Based on the PPMI data, we find that sex, handedness, PD status of father, COVID-19 status, cohort, and the smoothing functions of age are all statistically significant for step counts. Additionally, a web application tailored specifically for step count analysis in PD patients was developed. This tool provides a user-friendly interface for patients, caregivers, and healthcare professionals to track and analyze step count data, facilitating personalized treatment plans and enhancing the management of PD.

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Publication Details

Journal
PeerJ
Published
2025-05-29
DOI
https://doi.org/10.7717/peerj.19519
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Longitudinal analysis of step counts in Parkinson’s disease patients: insights from a web-based application and generalized additive model

Yishu Gong, Yuan Gu
PeerJ
Parkinson's Disease Mechanisms and Treatments
article

Longitudinal analysis of step counts in Parkinson’s disease patients: insights from a web-based application and generalized additive model

Yishu Gong, Yuan Gu
article en

Abstract

Based on the PPMI data, we find that sex, handedness, PD status of father, COVID-19 status, cohort, and the smoothing functions of age are all statistically significant for step counts. Additionally, a web application tailored specifically for step count analysis in PD patients was developed. This tool provides a user-friendly interface for patients, caregivers, and healthcare professionals to track and analyze step count data, facilitating personalized treatment plans and enhancing the management of PD.

PeerJVol. 13
Harvard University (US), Stanford University (US)
Openalex Percentile: Top 80%
Parkinson's Disease Mechanisms and Treatments
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