Evidence map›Paper›PMID 40682189›Full record

ArticleDiabetology & metabolic syndrome2025

Multidimensional links between dietary behavior and cardiometabolic comorbidities: a network analysis.

Yiyan Wang, Yiwen Cao, Xiaoling Zhou, Ying Liu, Jing Wu, Ming Li

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Yiyan Wang *School of Nursing, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Pudong New District, Shanghai, 201203, China.
Yiwen Cao *School of Graduate, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Xiaoling ZhouShanghai Oriental Hospital Affiliated Tongji University, No. 150, Jimo Road, Pudong New District, Shanghai, 200120, China.
Ying LiuSchool of Graduate, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Jing WuSchool of Nursing, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Pudong New District, Shanghai, 201203, China. jingwuclose@126.com.
Ming LiSchool of Graduate, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. liming1070202306@163.com.

Funding

Research project of Clinical Research Center of Shanghai Health Medical University 22MC2022002Shanghai Municipal Natural Science Foundation 23ZR1463600Shanghai Pudong New Area Health Commission Research Project PW2021A-69
6 · The paper itself

Abstract

backgroundThe burden of cardiometabolic comorbidities-such as hypertension, diabetes, dyslipidemia, and nonalcoholic fatty liver disease (NAFLD)-attributable to unhealthy dietary behaviors is increasing, particularly among working-age populations. This study aimed to investigate the complex interactions between dietary behaviors and cardiometabolic comorbidities using network analysis.

methodsThis cross-sectional study enrolled 1,427 corporate employees aged 18-50 years in Shanghai, China, who underwent routine health check-ups from July to December 2022. Demographic characteristics and dietary behaviors were assessed via a self-reported questionnaire, while metabolic indicators were obtained through clinical evaluations. Mixed graphical models were used to construct a network identifying associations among demographic factors, unhealthy dietary behaviors, and six cardiometabolic comorbidities: hypertension, diabetes mellitus, hypercholesterolemia, hypertriglyceridemia, hyperuricemia, and NAFLD.

resultsAmong participants, 49.5% had at least one cardiometabolic comorbidity. Network analyses revealed that interactions among demographic factors, various dietary behaviors, and cardiometabolic comorbidities formed a complex structure, with frequent meat consumption (2.03) and eating out (2.00) exhibiting high centrality in the network. Further sensitivity analyses indicated that eating before bedtime (2.01) emerged as a central node when modifiable demographic factors were included in the model.

conclusionsThis study identifies specific unhealthy dietary behaviors that are strongly linked to early manifestations of cardiometabolic comorbidities in working-age adults. The findings suggest that these behaviors may serve as effective targets for dietary interventions and public health strategies aimed at metabolic disease prevention.

Indexed as

Cardiometabolic comorbiditiesDietary behaviorsMixed graphical modelNetwork analysisWorking-age adults

Identifiers

PMID40682189
PMCPMC12275238

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.