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Titre : | Eating Timing: Associations with Dietary Intake and Metabolic Health (2021) |
Auteurs : | Amy Taetzsch ; Susan B. Roberts ; Asma Bukhari ; Alice H. Lichtenstein ; Cheryl H. Gilhooly ; Edward Martin ; Amy J. Krauss ; Adrienne Hatch-McChesney ; Sai Krupa Das |
Type de document : | Article |
Dans : | Journal of the academy of nutrition and dietetics (Vol. 121, n° 4, April 2021) |
Article en page(s) : | p. 738-748 |
Note générale : | https://doi.org/10.1016/j.jand.2020.10.001 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Comportement alimentaire ; Consommation alimentaire |
Mots-clés: | Alimentation en temps limité ; Santé métabolique |
Résumé : |
Background
Emerging research indicates that eating timing may influence dietary intake and metabolic health. However, studies to date have not examined the association of multiple measures of eating timing with both dietary intake and metabolic health in adults with overweight and obesity. Objective To examine the association of multiple measures of eating timing with dietary intake (ie, dietary composition, diet quality, and eating frequency) and metabolic health (ie, body composition and cardiometabolic risk). Design This is a cross-sectional analysis of baseline data from a weight loss and maintenance intervention collected from May 2015 to January 2018. Participants/setting Participants were women with overweight or obesity who were dependents of active duty and retired military personnel (N = 229; mean ± standard error, BMI = 34.7 ± 0.4 kg/m2, age = 40.9 ± 0.7 years). The study was conducted at military installations in Massachusetts, Connecticut, New York, Colorado, and Kentucky. Main outcome measures Eating timing variables examined included daily eating interval (time between first and last eating occasion), time-restricted eating (≤11 hours daily eating interval), early energy eaters (eating ≥60% of energy during the first half of time awake), and bedtime eaters (eating within 2 hours of bedtime). Statistical analysis The main analysis was limited to those reporting plausible energy intake (64% of total sample [n = 146]). Linear, quantile, or logistic regression models were used to determine the association of eating timing with measures of dietary intake and metabolic health. Results In individuals reporting plausible energy intake, each additional 1 hour in daily eating interval was associated with 53 kcal higher energy intake, higher glycemic load, eating frequency, and waist circumference (P Conclusions These findings lend support for the mechanistic targeting of eating timing in behavioral interventions aimed at improving dietary intake and body composition. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S2212267220313721#! |