Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study
Accelerometry detected differences in physical activity patterns between RRMS and PMS. More advanced analytic techniques may help discern differences between the 2 RRMS subgroups. Longitudinal follow-up is underway to assess the potential for accelerometry to detect or predict disability progression.
Authors
- Ellen M. Mowry (ORCID: https://orcid.org/0000-0003-0623-5188)
- Kathryn C. Fitzgerald (ORCID: https://orcid.org/0000-0003-3137-0322)
- Nicole Bou Rjeily (ORCID: https://orcid.org/0000-0002-1187-5262)
- Blake E. Dewey (ORCID: https://orcid.org/0000-0003-4554-5058)
- Anna DuVal (ORCID: https://orcid.org/0000-0003-3520-5631)
- Pratim Guha Niyogi (ORCID: https://orcid.org/0000-0003-2439-9047)
- Peter A. Calabresi (ORCID: https://orcid.org/0000-0002-7776-6472)
- Alexandra Zambriczki Lee
- Vadim Zipunnikov (ORCID: https://orcid.org/0000-0001-9864-2420)
- Rafal D. Mazur (ORCID: https://orcid.org/0000-0002-7363-4886)
- Chen Hu (ORCID: https://orcid.org/0000-0003-0282-4532)
- Muraleetharan Sanjayan (ORCID: https://orcid.org/0009-0006-6465-0063)
- Erin Brennan
- Elena M Kenney
- Christy Hulett
- Gabriella Dagher
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- JMIR mhealth and uhealth
- Published
- 2025-02-05
- DOI
- https://doi.org/10.2196/57599
- Citations
- 6
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 8.83