Unknown

Dataset Information

Physical activity measured using wearable activity tracking devices associated with gout flares.


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