Evidence mapPaperPMID 41565652Full record

ArticleNature communications2026

Multiomics insights into eating time patterns and cardiovascular risk among Chinese children.

Qin Liu, Jingyu Chen, Xizhou An, Lanling Chen, Bo Bai, Lijing Chen, Daochao Huang, Jun Ma, Lun Xiao, Shuanggui Yuan and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qin Liu *Department of Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
Jingyu ChenDepartment of Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
Xizhou AnDepartment of Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
Lanling ChenDepartment of Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
Bo BaiSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Lijing ChenDepartment of Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
Daochao HuangDepartment of Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
Jun MaShimian People's Hospital, Ya'an, China.
Lun XiaoDisease Control and Prevention Center of Jiulongpo District, Chongqing, China.
Shuanggui YuanXishui County Maternal and Child Health Hospital, Guizhou, China.
Jianxin LiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0001-9166-642X
Xiaohua Liang *Department of Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China. xiaohualiang@hospital.cqmu.edu.cn.ORCID 0000-0003-3867-9779

Funding

Chongqing Science and Technology Commission (Chongqing Science and Technology Commission, Chongqing People's Municipal Government) No. 2025ZDXM008National Natural Science Foundation of China (National Science Foundation of China) No. 82373590 No. 82574113
6 · The paper itself

Abstract

As the prevalence of cardiovascular risk factors in children continues to rise globally, identifying modifiable lifestyle factors becomes increasingly important for early prevention. Here, using data from a large-scale cohort (2021-2024) involving 7459 Chinese children from three provinces, we examine the association between eating timing patterns and multiple cardiovascular parameters. Participants are classified into three eating patterns: extended eating window (duration more than 12.5 hours), late eating window (duration 12.5 hours or less with last meal after 20:00), and early eating window (duration 12.5 hours or less with last meal at or before 20:00). Early eating window is associated with a 26% lower risk of elevated blood pressure (odds ratio: 0.74, 95% confidence interval: 0.65-0.84, p < 0.001) compared to extended eating window. We conduct a nested case-control study (n = 51) with comprehensive lipidomic and proteomic analyses. Proteomics identifies 83 differentially expressed proteins, with enrichment in cardiac muscle contraction and lipid metabolism pathways. Mediation analysis demonstrates that triacylglycerols mediate 64.8% of the effect between eating patterns and blood pressure. Our findings suggest associations between early eating windows and protective cardiovascular parameters in children, potentially mediated through lipid metabolism pathways.

Indexed as

Cardiovascular DiseasesFeeding BehaviorBlood PressureCase-Control StudiesChildChinaEast Asian PeopleFemaleHeart Disease Risk FactorsHumansLipid MetabolismMaleMultiomicsProteomicsRisk FactorsTime Factors

Identifiers

PMID41565652
PMCPMC12923590

What Socratic holds

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Registered trials

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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.