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Population Project

Project summary:

Overweight and obesity are established risk factors for cardiovascular disease. Successful weight loss strategies have focused on modifying the composition of peoples’ diet (e.g. low calorie, low fat) but few studies have assessed the role of circadian rhythms, particularly the timing of eating, with weight loss. Time restricted feeding influences metabolic outcomes and weight. However, no population-based studies have developed real-time measurement tools to assess the timing of eating, or examined the effect of intervals between meals on weight change and cardiometabolic outcomes. Our objectives are to: 1) Adapt the mobile application called The Metabolic Compass to motivate health behavior change and adherence to using the application; and 2) Enroll 1000 overweight/obese participants from the PaTH Clinical Data Research Network in a 6 month longitudinal cohort study to use the Metabolic Compass to assess the impact of time restricting feeding on weight. We will examine patterns of participants timing of eating and other circadian rhythms, use machine learning to characterize eating patterns and test the hypothesis that restricting the time spent eating will be associated with weight loss over 6 months. This population-based study will enable us to advance the field of obesity by linking mobile momentary assessments with 3 electronic medical record databases, thus leveraging the established information technological infrastructure of PaTH, a large established patient-centered research network. Ultimately, the goal is to improve our understanding of the role of the timing of eating on weight and metabolic outcomes, which could lead to the development of behavioral approaches to time restricted eating and obesity prevention and control.

PI: Wendy Bennett, MD, MPH