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

Author:

Zhao Di1ORCID,Guallar Eliseo1ORCID,Woolf Thomas B.2ORCID,Martin Lindsay3ORCID,Lehmann Harold4ORCID,Coughlin Janelle5,Holzhauer Katherine3ORCID,Goheer Attia A.6ORCID,McTigue Kathleen M.7,Lent Michelle R.8ORCID,Hawkins Marquis9ORCID,Clark Jeanne M.13ORCID,Bennett Wendy L.13ORCID

Affiliation:

1. Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD

2. Department of Physiology Johns Hopkins University School of Medicine Baltimore MD

3. Division of General Internal Medicine Johns Hopkins University School of Medicine Baltimore MD

4. Division of Health Sciences Informatics Johns Hopkins University School of Medicine Baltimore MD

5. Division of Psychiatry and Behavioral Sciences Johns Hopkins University School of Medicine Baltimore MD

6. Department of Health Policy and Management Johns Hopkins Bloomberg School of Public Health Baltimore MD

7. Division of General Internal Medicine University of Pittsburgh Pittsburgh PA

8. School of Professional and Applied Psychology Philadelphia College of Osteopathic Medicine Philadelphia PA

9. Department of Epidemiology University of Pittsburgh Pittsburgh PA

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/m 2 ; 77.9% were women, and 77.5% reported White race. Mean interval from first to last meal was 11.5 (2.3) hours and was not associated with weight change. The number of meals per day was positively associated with weight change. The average difference in annual weight change (95% CI) associated with an increase of 1 daily meal was 0.28 kg (0.02–0.53). Conclusions Number of daily meals was positively associated with weight change over 6 years. Our findings did not support the use of time‐restricted eating as a strategy for long‐term weight loss in a general medical population.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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