Evidence map›Paper›PMID 35623836›Full record

ArticleClinical nutrition ESPEN2022

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

Luiz Antônio Alves de Menezes-Júnior, Amanda Cristina de Souza Andrade, Hillary Nascimento Coletro, Raquel de Deus Mendonça, Mariana Carvalho de Menezes, George Luiz Lins Machado-Coelho, Adriana Lúcia Meireles

Open access · greenAbstract read
In one paragraph

Article in Clinical nutrition ESPEN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Generational Influence on Diet Quality: An Analysis Based on Vigitel 2023.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Luiz Antônio Alves de Menezes-JúniorPostgraduate 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. Electronic address: luiz.menezes@aluno.ufop.edu.br.
Amanda Cristina de Souza AndradeDepartment of Public Health, Federal University of Mato Grosso, Cuiabá, Mato Grosso, Brazil. Electronic address: csouza.amanda@gmail.com.
Hillary Nascimento ColetroPostgraduate 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. Electronic address: hillary.coletro@aluno.ufop.edu.br.
Raquel de Deus MendonçaPostgraduate 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: raquel.mendonca@ufop.edu.br.
Mariana Carvalho de MenezesPostgraduate 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: mariana.menezes@ufop.edu.br.
George Luiz Lins Machado-CoelhoPostgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; School of Medicine, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil. Electronic address: gmcoelho@ufop.edu.br.
Adriana Lúcia MeirelesPostgraduate 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: adriana.meireles@ufop.edu.br.
Universidade Federal de Ouro Preto · BRUniversidade Federal de Mato Grosso · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsConsumption 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.

methodsPopulation-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.

resultsMost 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).

conclusionHigher 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.

Indexed as

COVID-19AdultFast FoodsFood HandlingHumansPandemicsSleep QualityFood consumptionSARS-CoV-2SleepUltra-processed foods

Identifiers

PMID35623836
PMCPMC8942582
OpenAlexW4220708364

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.