Evidence map›Paper›PMID 39106225›Full record

ArticlePloS one2024

Associations of dietary pattern, insulin resistance and risk of developing metabolic syndrome among Chinese population.

Liyong Kou, Jing Sun, Ping Wu, Zhou Cheng, Ping Zhou, Nana Li, Liang Cheng, Pengfei Xu, Yunzhuo Xue, Jiamin Tian and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. 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

11 authors.

Liyong KouDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Jing SunDepartment of Nutrition, Functional Food Clinical Evaluation Center, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Ping WuDepartment of Nutrition, Functional Food Clinical Evaluation Center, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Zhou ChengDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Ping ZhouDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Nana LiDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Liang ChengDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Pengfei XuDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Yunzhuo XueDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Jiamin TianDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Wei ChenDepartment of General Practice, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People's Republic of China.ORCID 0009-0007-8608-8283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence regarding the role of dietary patterns in metabolic syndrome (MetS) is limited. The mechanistic links between dietary patterns, insulin resistance, and MetS are not fully understood. This study aimed to evaluate the associations between dietary patterns and the risk of MetS in a Chinese population using a longitudinal design. Data from the China Health and Nutrition Survey, a nationally representative survey, were analyzed. MetS cases were identified based on biomarker data collected in 2009. Factor analysis was employed to identify dietary patterns, while logistic regression models were utilized to examine the association between dietary patterns and MetS. Mediation models were applied to assess multiple mediation effects. Two dietary patterns were revealed by factor analysis. Participants in the higher quartiles of the traditional Chinese dietary pattern had lower odds of MetS than those in the lowest quartile (Q1) (OR = 0.58, 95%CI: 0.48, 0.69 for Q4; OR = 0.75, 95%CI: 0.63, 0.89 for Q3). Conversely, participants in the higher quartiles of the modern Chinese dietary pattern had higher odds of MetS compared to those in the lowest quartile (Q1) (OR = 1.40, 95%CI: 1.17, 1.68 for Q4; OR = 1.27, 95%CI: 1.06, 1.52 for Q3). Significant associations between dietary patterns and MetS were mediated by insulin resistance. Therefore, dietary patterns in Chinese adults are associated with MetS, and these associations appear to be mediated through insulin resistance. These findings underscore the critical role of dietary patterns in the development of MetS and establish a foundation for culturally tailored dietary interventions aimed at reducing rates the prevalence of MetS among Chinese adults.

Indexed as

DietInsulin ResistanceMetabolic SyndromeAdultAgedChinaEast Asian PeopleFeeding BehaviorFemaleHumansMaleMiddle AgedNutrition SurveysRisk Factors

Identifiers

PMID39106225
PMCPMC11302861

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.