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ABSTRACT: Objective
To determine the feasibility and validity of using wearable activity trackers to test associations between gout flares with physical activity and sleep.Methods
Participants with physician-diagnosed gout, hyperuricemia (≥ 6.8 mg/dl), current smartphone use, and ≥ 2 self-reported flares in the previous 6 months were enrolled. Physical activity, heart rate, and sleep data were obtained from wearable activity trackers (Fitbit Charge HR2). Daily compliance was defined by the availability of sufficiently complete activity data at least 80% of the day. Associations of weekly gout flares with sleep and activity were measured by comparing flare-related values to average sleep and steps per day. We used mixed linear models to account for repeated observations.Results
SUBMITTER: Elmagboul N
PROVIDER: S-EPMC7398057 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature