Evidence map›Paper›PMID 38700577›Full record

ArticleEuropean journal of nutrition2024

Associations between temporal eating patterns and body composition in young adults: a cross-sectional study.

Yuchi Wu, Qi Nie, Yuqian Wang, Yuqin Liu, Weibo Liu, Tian Wang, Yaling Zhang, Sisi Cao, Zhengrong Li, Jianghong Zheng and 2 more

Abstract read
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Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

12 authors.

Yuchi Wu *Department of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Qi Nie *Department of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Yuqian WangDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Yuqin LiuDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Weibo LiuDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Tian WangDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Yaling ZhangDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Sisi CaoDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Zhengrong LiDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Jianghong ZhengDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Zichun NieDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China.
Li ZhouDepartment of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, No. 10, Huangjiahu Road, Wuhan, China. zhouli2020@wust.edu.cn.

Funding

Hubei Provincial Department of Education B2022025National Natural Science Foundation of China 82204038
6 · The paper itself

Abstract

purposeThe aim of this study was to examine the associations between body composition and temporal eating patterns, including time of first eating occasion, time of last eating occasion, eating window, and eating jet lag (the variability in meal timing between weekdays and weekends).

methodsA total of 131 participants were included in the study. Temporal eating pattern information was collected through consecutive 7-day eat timing questionnaires and photographic food records. Body composition was assessed by bioelectrical impedance analysis. Multiple linear regression models were used to evaluate the relationships of temporal eating patterns with body composition, and age was adjusted. Eating midpoint was additionally adjusted in the analysis of eating window.

resultsOn weekdays, both later first eating occasion and last eating occasion were associated with lower lean mass, and longer eating window was associated with lower body fat percentage. On weekends, both later first eating occasion and last eating occasion were associated with lower lean mass, and longer eating window was associated with higher FFMI. Longer first eating occasion jet lag was associated with lower lean mass.

conclusionOur study suggested that earlier and more regular eating patterns may have a benefit on body composition.

Indexed as

Body CompositionFeeding BehaviorAdultCross-Sectional StudiesDiet RecordsElectric ImpedanceFemaleHumansMaleMealsSurveys and QuestionnairesTime FactorsYoung AdultBody compositionCross-sectional studyEating jet lagTemporal eating patterns

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.