Evidence map›Paper›PMID 37764802›Full record

ArticleNutrients2023

Seasonal and Regional Differences in Eating Times in a Representative Sample of the Brazilian Population.

Jefferson Souza Santos, Debra Jean Skene, Cibele Aparecida Crispim, Claudia Roberta de Castro Moreno

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jefferson Souza SantosDepartment of Health, Life Cycles and Society, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil.
Debra Jean SkeneChronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK.ORCID 0000-0001-8202-6180
Cibele Aparecida CrispimChronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK.
Claudia Roberta de Castro MorenoDepartment of Health, Life Cycles and Society, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil.ORCID 0000-0003-1839-9673

Funding

National Council for Scientific and Technological Development 307875/2022-9National Council for Scientific and Technological Development 401761/2022-3
6 · The paper itself

Abstract

Human food intake and its timing are a complex behavior that can be influenced by a variety of factors, some of which may vary from season to season or from region to region. In this study, our aim was to investigate the seasonal variation in food intake times, with a particular focus on how these may vary across different regions of a country. We conducted an analysis of data from 20,622 adults from the National Household Budget Survey (POF-IBGE), encompassing complete food diaries collected from individuals residing in Brazil, and thereby ensuring representation across different latitudes. Each participant's daily food intake was reported for two non-consecutive days at different times in the same week using food diaries. An ANOVA revealed a later food intake time in the evening in high-latitude regions compared to low-latitude regions. The Sidak post-hoc test showed a significant interaction effect between region and season, demonstrating a pattern of early First Intake Time and Eating Midpoint in the Northeast region during spring/summer. Additionally, we observed an independent effect of the region, as early food intake times were found in low-latitude regions. These findings offer a basis for discussing food intake times among individuals living in different regions located on distinct latitudes.

Indexed as

BudgetsClimateAdultBrazilDiet RecordsHumansSeasonschrononutritionfood intakelatituderegionseason

Identifiers

PMID37764802
PMCPMC10535183

What OpenQuestion holds

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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.