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Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic

BACKGROUND AND AIMS: Consumption of ultra-processed foods is negatively associated with health outcomes, however, the contribution to sleep quality is limited. Therefore, the objective of this study was to evaluate the association between food intake by frequency and degree of processing and sleep q...

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Autores principales: Menezes-Júnior, Luiz Antônio Alves de, Andrade, Amanda Cristina de Souza, Coletro, Hillary Nascimento, Mendonça, Raquel de Deus, Menezes, Mariana Carvalho de, Machado-Coelho, George Luiz Lins, Meireles, Adriana Lúcia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942582/
https://www.ncbi.nlm.nih.gov/pubmed/35623836
http://dx.doi.org/10.1016/j.clnesp.2022.03.023
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author Menezes-Júnior, Luiz Antônio Alves de
Andrade, Amanda Cristina de Souza
Coletro, Hillary Nascimento
Mendonça, Raquel de Deus
Menezes, Mariana Carvalho de
Machado-Coelho, George Luiz Lins
Meireles, Adriana Lúcia
author_facet Menezes-Júnior, Luiz Antônio Alves de
Andrade, Amanda Cristina de Souza
Coletro, Hillary Nascimento
Mendonça, Raquel de Deus
Menezes, Mariana Carvalho de
Machado-Coelho, George Luiz Lins
Meireles, Adriana Lúcia
author_sort Menezes-Júnior, Luiz Antônio Alves de
collection PubMed
description BACKGROUND AND AIMS: Consumption of ultra-processed foods is negatively associated with health outcomes, however, the contribution to sleep quality is limited. Therefore, the objective of this study was to evaluate the association between food intake by frequency and degree of processing and sleep quality in adults during the covid-19 pandemic. METHODS: Population-based survey of adults from October to December 2020 in the Iron Quadrangle region, Brazil. The exposure variable was a food intake score that considered the frequency of consumption and food processing degree. The total score ranged from 0 (best) to 48 points (worst food quality), categorized into quartiles. Furthermore, we also evaluated whether individuals replaced their lunch and/or dinner based mostly on fresh/minimally processed foods for ultra-processed foods, for five or more days in the week. The outcome variable was sleep quality assessed with the Pittsburgh Sleep Quality Index. We constructed a contrasting directed acyclic graph (DAG) model to estimate the adjusted odds ratio of the association between score eating and sleep, by logistic regression. RESULTS: Most of the 1762 individuals evaluated had poor sleep quality (52.5%). The minimum and maximum food scores were 0 and 30 points (mean 9.16; 95% CI 8.50, 9.81). The higher values of the score corresponded to lower consumption of fresh and minimally processed foods and higher consumption of ultraprocessed foods. In multivariate analysis, individuals in the third food consumption score had 71% greater odds of poor sleep quality (OR = 1.71; 95% CI: 1.03, 2.85) and in the fourth quartile 144% greater odds (OR = 2.44; 95% CI: 1.32, 2.44). Besides, replacing the dinner meal with ultra-processed foods five days or more in the week was also associated with poor sleep quality (OR = 2.01; 95%CI: 1.14, 3.57). CONCLUSION: Higher consumption of ultra-processed foods concomitant with lower consumption of fresh and minimally processed foods is associated with a higher chance of poor sleep quality.
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spelling pubmed-89425822022-03-24 Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic Menezes-Júnior, Luiz Antônio Alves de Andrade, Amanda Cristina de Souza Coletro, Hillary Nascimento Mendonça, Raquel de Deus Menezes, Mariana Carvalho de Machado-Coelho, George Luiz Lins Meireles, Adriana Lúcia Clin Nutr ESPEN Original Article BACKGROUND AND AIMS: Consumption of ultra-processed foods is negatively associated with health outcomes, however, the contribution to sleep quality is limited. Therefore, the objective of this study was to evaluate the association between food intake by frequency and degree of processing and sleep quality in adults during the covid-19 pandemic. METHODS: Population-based survey of adults from October to December 2020 in the Iron Quadrangle region, Brazil. The exposure variable was a food intake score that considered the frequency of consumption and food processing degree. The total score ranged from 0 (best) to 48 points (worst food quality), categorized into quartiles. Furthermore, we also evaluated whether individuals replaced their lunch and/or dinner based mostly on fresh/minimally processed foods for ultra-processed foods, for five or more days in the week. The outcome variable was sleep quality assessed with the Pittsburgh Sleep Quality Index. We constructed a contrasting directed acyclic graph (DAG) model to estimate the adjusted odds ratio of the association between score eating and sleep, by logistic regression. RESULTS: Most of the 1762 individuals evaluated had poor sleep quality (52.5%). The minimum and maximum food scores were 0 and 30 points (mean 9.16; 95% CI 8.50, 9.81). The higher values of the score corresponded to lower consumption of fresh and minimally processed foods and higher consumption of ultraprocessed foods. In multivariate analysis, individuals in the third food consumption score had 71% greater odds of poor sleep quality (OR = 1.71; 95% CI: 1.03, 2.85) and in the fourth quartile 144% greater odds (OR = 2.44; 95% CI: 1.32, 2.44). Besides, replacing the dinner meal with ultra-processed foods five days or more in the week was also associated with poor sleep quality (OR = 2.01; 95%CI: 1.14, 3.57). CONCLUSION: Higher consumption of ultra-processed foods concomitant with lower consumption of fresh and minimally processed foods is associated with a higher chance of poor sleep quality. European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. 2022-06 2022-03-24 /pmc/articles/PMC8942582/ /pubmed/35623836 http://dx.doi.org/10.1016/j.clnesp.2022.03.023 Text en © 2022 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Menezes-Júnior, Luiz Antônio Alves de
Andrade, Amanda Cristina de Souza
Coletro, Hillary Nascimento
Mendonça, Raquel de Deus
Menezes, Mariana Carvalho de
Machado-Coelho, George Luiz Lins
Meireles, Adriana Lúcia
Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic
title Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic
title_full Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic
title_fullStr Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic
title_full_unstemmed Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic
title_short Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic
title_sort food consumption according to the level of processing and sleep quality during the covid-19 pandemic
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942582/
https://www.ncbi.nlm.nih.gov/pubmed/35623836
http://dx.doi.org/10.1016/j.clnesp.2022.03.023
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