Association of Eating and Sleeping Intervals With Weight Change Over Time: The Daily24 Cohort.

ABSTRACT: Background We aim to evaluate the association between meal intervals and weight trajectory among adults from a clinical cohort. Methods and Results This is a multisite prospective cohort study of adults recruited from 3 health systems. Over the 6-month study period, 547 participants downloaded and used a mobile application to record the timing of meals and sleep for at least 1 day. We obtained information on weight and comorbidities at each outpatient visit from electronic health records for up to 10  years before until 10 months after baseline. We used mixed linear regression to model weight trajectories. Mean age was 51.1 (SD 15.0) years, and body mass index was 30.8 (SD 7.8) kg/m²; 77.9% were women, and 77.5% reported White race. Mean interval from first to last meal was 11.5

SUBMITTER: Zhao D 

PROVIDER: S-EPMC9973633 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature