Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data
We leveraged datasets from diverse populations to demonstrate the direct relationship between parameter estimates from consumer-grade wearable devices and participants' wear time. Our findings highlighted the importance of a thorough analysis of wear time when processing data from consumer-grade wearables to ensure the relevance and reliability of the associated findings.
Authors
- Stephen M. Cain (ORCID: https://orcid.org/0000-0003-1961-4195)
- Sung Won Choi (ORCID: https://orcid.org/0000-0002-6321-3834)
- Noelle E. Carlozzi (ORCID: https://orcid.org/0000-0003-0439-9429)
- Loubna Baroudi (ORCID: https://orcid.org/0000-0002-3065-6196)
- Muneesh Tewari (ORCID: https://orcid.org/0000-0002-7781-3152)
- Ronald F. Zernicke (ORCID: https://orcid.org/0000-0003-3898-9507)
Institutions
- West Virginia University (US)
- University of Michigan (US)
- VA Ann Arbor Healthcare System (US)
- Michigan Medicine (US)
- Michigan Center for Translational Pathology (US)
- Ann Arbor Center for Independent Living (US)
Publication Details
- Journal
- JMIR mhealth and uhealth
- Published
- 2024-12-20
- DOI
- https://doi.org/10.2196/46149
- Citations
- 5
- Primary Topic
- Consumer Retail Behavior Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.19