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

Di Zhao; Eliseo Guallar; Thomas B Woolf; Lindsay Martin; Harold Lehmann; Janelle Coughlin; Katherine Holzhauer; Attia A Goheer; Kathleen M McTigue; Michelle R. Lent; Marquis Hawkins; Jeanne M Clark; Wendy L Bennett

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

Di Zhao, Eliseo Guallar, Thomas B Woolf, Lindsay Martin, Harold Lehmann, Janelle Coughlin, Katherine Holzhauer, Attia A Goheer, Kathleen M McTigue, Michelle R. Lent, Marquis Hawkins, Jeanne M Clark, Wendy L Bennett

Department of Clinical Psychology

Research output: Contribution to journal › Article › peer-review

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

Original language	American English
Journal	Journal of the American Heart Association
Volume	12
State	Published - Feb 7 2023

Keywords

eating behavior
eating intervals
weight trajectory

Disciplines

Medicine and Health Sciences

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Association of Eating and Sleeping Intervals With Weight Change OFinal published version, 1.01 MBLicense: CC BY

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title = "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/m",

keywords = "eating behavior, eating intervals, weight trajectory",

author = "Di Zhao and Eliseo Guallar and Woolf, {Thomas B} and Lindsay Martin and Harold Lehmann and Janelle Coughlin and Katherine Holzhauer and Goheer, {Attia A} and McTigue, {Kathleen M} and Lent, {Michelle R.} and Marquis Hawkins and Clark, {Jeanne M} and Bennett, {Wendy L}",

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month = feb,

day = "7",

language = "American English",

volume = "12",

journal = "Journal of the American Heart Association",

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TY - JOUR

T1 - Association of Eating and Sleeping Intervals With Weight Change Over Time: The Daily24 Cohort.

AU - Zhao, Di

AU - Guallar, Eliseo

AU - Woolf, Thomas B

AU - Martin, Lindsay

AU - Lehmann, Harold

AU - Coughlin, Janelle

AU - Holzhauer, Katherine

AU - Goheer, Attia A

AU - McTigue, Kathleen M

AU - Lent, Michelle R.

AU - Hawkins, Marquis

AU - Clark, Jeanne M

AU - Bennett, Wendy L

PY - 2023/2/7

Y1 - 2023/2/7

N2 - 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

AB - 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

KW - eating behavior

KW - eating intervals

KW - weight trajectory

UR - https://digitalcommons.pcom.edu/scholarly_papers/2183

M3 - Article

VL - 12

JO - Journal of the American Heart Association

JF - Journal of the American Heart Association

ER -

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

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Keywords

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