Evidence map›Paper›PMID 43010066›Full record

ArticleDiabetology & metabolic syndrome2026

Risk factors for metabolic syndrome: an umbrella review of systematic reviews and meta-analyses.

Ai Cui, Wenjing Xiong, Tengyi Huang, Yongni Wang, Qiaoxin Zhang, Yu Chen

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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.

Ai CuiDepartment of Clinical laboratory, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Wenjing XiongDepartment of Clinical laboratory, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Tengyi HuangDepartment of Clinical laboratory, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Yongni WangDepartment of Clinical laboratory, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Qiaoxin ZhangDepartment of Clinical laboratory, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China. qiaoxinzhang@126.com.
Yu ChenDepartment of Clinical laboratory, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China. cy4402@stu.edu.cn.

Funding

Shantou Medical and Health Science and Technology Plan 250715156494018
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) - a cluster of conditions including hypertension, dyslipidemia, insulin resistance, and central obesity - affects 20-30% of adults globally and elevates risks for type 2 diabetes mellitus and cardiovascular disease. Although extensive research has been conducted on individual risk factors, a comprehensive synthesis of existing evidence is urgently required to guide the development of targeted, multi-component prevention strategies.

methodsTo identify observational studies which assessed the association between MetS development and risk factors, PubMed, Embase, Web of Science, and Cochrane Database were searched from inception to May 2025. A random or fix-effects model was utilized to estimate pooled odds ratios (ORs), relative risk (RR) and 95% confidence intervals (95% CIs). Statistical heterogeneity across included studies was quantified using the I² index, where values > 50% were considered indicative of substantial heterogeneity. The Egger's test or funnel graph was used to assess the methodological quality.

resultsThis umbrella review systematically analyzed 72 meta-analyses from 7,367 unique articles to evaluate associations between 101 factors and MetS development. 76 positively correlated factors and 25 negatively correlated factors were identified from the included studies and categorized into five distinct domains: lifestyle behaviors, pre-existing diseases, individual characteristics, environmental exposures, and occupational factors. From the selected studies, the most significantly positive correlation with MetS was overweight and obesity. Parental history of MetS, gestational diabetes mellitus, high screen time, and shift work were also exhibited high degrees of correlation with MetS. In our study, we also identified several modifiable dietary factors exhibited negative correlations with MetS. High-fiber diet consumption, regular nut intake, and adherence to a Mediterranean diet had higher association with MetS.

conclusionsMetS pathophysiology is multifactorial. Comprehensive evidence shows that multiple distinct factors performed significantly associations with MetS. Unhealthy dietary patterns, sedentary behavioral patterns, and adverse occupational patterns are the primary modifiable associated factors for MetS. Despite the limited quality of current supporting evidence, targeted intervention strategies for these factors should be prioritized in public health policies to mitigate MetS at the population level. This review provides comprehensive prevention suggestions for high-risk groups.

Indexed as

Associated factorCorrelated factorIncidenceMeta-analysisMetabolic syndromeUmbrella review

Identifiers

PMID43010066
PMCPMC13753272

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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 OpenQuestion graph.