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Meal timing and obesity; interactions with macronutrient intake and chronotype

BACKGROUND: Timing of dietary intake may play a role in obesity. However, previous studies produced mixed findings possibly due to inconsistent approaches to characterize meal timing and not taking into account chronotype and macronutrients. To address the aforementioned limitations, we have defined...

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Autores principales: Xiao, Qian, Garaulet, Marta, Scheer, Frank A.J.L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669101/
https://www.ncbi.nlm.nih.gov/pubmed/30705391
http://dx.doi.org/10.1038/s41366-018-0284-x
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author Xiao, Qian
Garaulet, Marta
Scheer, Frank A.J.L.
author_facet Xiao, Qian
Garaulet, Marta
Scheer, Frank A.J.L.
author_sort Xiao, Qian
collection PubMed
description BACKGROUND: Timing of dietary intake may play a role in obesity. However, previous studies produced mixed findings possibly due to inconsistent approaches to characterize meal timing and not taking into account chronotype and macronutrients. To address the aforementioned limitations, we have defined meal timing relative to sleep/wake timing, investigated the relationship between meal timing and BMI dependent on chronotype, and examined the associations between obesity and the timing of individual macronutrient intakes. METHODS: BMI, chronotype, and dietary intakes were measured in 872 middle-to-older aged adults by six 24-hour dietary recalls in one year. We defined four time windows of intake relative to sleep timing: morning (within two hours after getting out of bed), night (within two hours before bedtime), and two midday periods in between (split by the midpoint of the waking period). RESULTS: A higher percent of total daily energy intake consumed during the morning window was associated with lower odds of being overweight or obese (odds ratio (95% confidence intervals), 0.53 (0.31, 0.89)). This association was stronger in people with an earlier chronotype (0.32 (0.16, 0.66)). A higher percent of total daily energy intake consumed during the night window was associated with higher odds of being overweight or obese (1.82 (1.07, 3.08)), particularly in people with a later chronotype (4.94 (1.61, 15.14)). These associations were stronger for the intakes of carbohydrates and protein than for fat intake. CONCLUSION: Our study suggests that higher dietary consumption after waking up and lower consumption close to bedtime associate with lower BMI, but the relationship differs by chronotype. Furthermore, the data demonstrate a clear relationship between the timing of carbohydrate and protein intake and obesity. Our findings highlight the importance of considering timing of intake relative to sleep timing when studying the associations of meal timing with obesity and metabolic health.
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spelling pubmed-66691012019-09-05 Meal timing and obesity; interactions with macronutrient intake and chronotype Xiao, Qian Garaulet, Marta Scheer, Frank A.J.L. Int J Obes (Lond) Article BACKGROUND: Timing of dietary intake may play a role in obesity. However, previous studies produced mixed findings possibly due to inconsistent approaches to characterize meal timing and not taking into account chronotype and macronutrients. To address the aforementioned limitations, we have defined meal timing relative to sleep/wake timing, investigated the relationship between meal timing and BMI dependent on chronotype, and examined the associations between obesity and the timing of individual macronutrient intakes. METHODS: BMI, chronotype, and dietary intakes were measured in 872 middle-to-older aged adults by six 24-hour dietary recalls in one year. We defined four time windows of intake relative to sleep timing: morning (within two hours after getting out of bed), night (within two hours before bedtime), and two midday periods in between (split by the midpoint of the waking period). RESULTS: A higher percent of total daily energy intake consumed during the morning window was associated with lower odds of being overweight or obese (odds ratio (95% confidence intervals), 0.53 (0.31, 0.89)). This association was stronger in people with an earlier chronotype (0.32 (0.16, 0.66)). A higher percent of total daily energy intake consumed during the night window was associated with higher odds of being overweight or obese (1.82 (1.07, 3.08)), particularly in people with a later chronotype (4.94 (1.61, 15.14)). These associations were stronger for the intakes of carbohydrates and protein than for fat intake. CONCLUSION: Our study suggests that higher dietary consumption after waking up and lower consumption close to bedtime associate with lower BMI, but the relationship differs by chronotype. Furthermore, the data demonstrate a clear relationship between the timing of carbohydrate and protein intake and obesity. Our findings highlight the importance of considering timing of intake relative to sleep timing when studying the associations of meal timing with obesity and metabolic health. 2019-01-31 2019-09 /pmc/articles/PMC6669101/ /pubmed/30705391 http://dx.doi.org/10.1038/s41366-018-0284-x Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Xiao, Qian
Garaulet, Marta
Scheer, Frank A.J.L.
Meal timing and obesity; interactions with macronutrient intake and chronotype
title Meal timing and obesity; interactions with macronutrient intake and chronotype
title_full Meal timing and obesity; interactions with macronutrient intake and chronotype
title_fullStr Meal timing and obesity; interactions with macronutrient intake and chronotype
title_full_unstemmed Meal timing and obesity; interactions with macronutrient intake and chronotype
title_short Meal timing and obesity; interactions with macronutrient intake and chronotype
title_sort meal timing and obesity; interactions with macronutrient intake and chronotype
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669101/
https://www.ncbi.nlm.nih.gov/pubmed/30705391
http://dx.doi.org/10.1038/s41366-018-0284-x
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