Comparing Step-Counting Algorithms for High-Resolution Wrist Accelerometry Data in Older Adults in the ARIC Study
The estimated step counts algorithms are highly correlated, and, after z-scoring, have similar and highly significant associations with health outcomes. Because the total number of steps varies widely across algorithms, interpretation and translation of results for health monitoring and clinical use in older adults depend on the choice of step-counting algorithm.
Authors
- Lily Koffman (ORCID: https://orcid.org/0000-0003-1543-2896)
- Amal Asiri Wanigatunga (ORCID: https://orcid.org/0000-0002-5763-5184)
- Xinkai Zhou (ORCID: https://orcid.org/0000-0001-8564-3491)
- Sunan Gao (ORCID: https://orcid.org/0000-0003-2345-1771)
- Jennifer A. Schrack (ORCID: https://orcid.org/0000-0001-9244-9267)
- John Muschelli (ORCID: https://orcid.org/0000-0001-6469-1750)
- Ciprian M. Crainiceanu (ORCID: https://orcid.org/0000-0001-6601-3881)
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- The Journals of Gerontology Series A
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1093/gerona/glaf034
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00