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ABSTRACT: Background
Daily routines (eg, physical activity and sleep patterns) are important for diabetes self-management. Traditional research methods are not optimal for documenting long-term daily routine patterns in participants with glycemic conditions. Mobile health offers an effective approach for collecting users' long-term daily activities and analyzing their daily routine patterns in relation to diabetes status.Objective
This study aims to understand how routines function in diabetes self-management. We evaluate the associations of daily routine variables derived from a smartwatch with diabetes status in the electronic Framingham Heart Study (eFHS).Methods
The eFHS enrolled the Framingham Heart Study participants at health examination 3 between 2016 and 2019. At bas
SUBMITTER: Zhang Y
PROVIDER: S-EPMC8783285 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature