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.
Authors
- Yishu Gong (ORCID: https://orcid.org/0000-0002-7777-6363)
- Yuan Gu
Institutions
- Harvard University (US)
- Stanford University (US)
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