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

Clin Nutr ESPEN

Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Brazil; Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil. Electronic address:

Published: June 2022

AI Article Synopsis

  • - The study examined how the frequency and degree of food processing impact sleep quality among adults during the COVID-19 pandemic in Brazil, highlighting that ultra-processed foods are linked to poorer health outcomes, including sleep issues.
  • - Conducted with 1,762 participants, findings showed that over half experienced poor sleep quality, with higher food consumption scores indicating a shift from fresh foods to more ultra-processed foods, significantly correlating with sleep disturbances.
  • - Multivariate analysis revealed that those in the higher quartiles of food scores had a 71% to 144% increased likelihood of poor sleep quality, and frequently replacing dinner with ultra-processed foods also contributed to sleep problems.

Article Abstract

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942582PMC
http://dx.doi.org/10.1016/j.clnesp.2022.03.023DOI Listing

Publication Analysis

Top Keywords

sleep quality
36
ultra-processed foods
16
poor sleep
16
processed foods
12
sleep
10
quality
10
food consumption
8
processing sleep
8
consumption ultra-processed
8
foods
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!