Evidence map›Paper›PMID 42293660›Full record

ArticleFrontiers in public health2026

Metabolic syndrome severity and all-cause mortality in the CLHLS biomarker subsample of older Chinese adults.

Chongyu Ding, Darong Hao, Jianghua Huo, Yaqian Xu, Hui Zhang, Yulu Gong, Xuetong Zhao, Zhaojun Wang, Xiangwei Li

Abstract read
In one paragraph

Article in Frontiers in public health, 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chongyu Ding *School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Darong Hao *School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianghua Huo *School of Public Health and Management, Jiangsu Medical College, Yancheng, Jiangsu, China.
Yaqian XuSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui ZhangSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yulu GongSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xuetong ZhaoSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhaojun WangSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiangwei LiSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a cluster of risk factors that increases cardiometabolic disease and mortality. A continuous MetS Score has been developed to quantify MetS severity, but its association with all-cause mortality in older Chinese adults remains unclear. Methods: We analyzed 2,443 participants from the Chinese Longitudinal Healthy Longevity Survey (CLHLS, 2008-2018 and 2011-2018). MetS Score was derived by confirmatory factor analysis using triglycerides, HDL-C, fasting glucose, systolic blood pressure, and BMI. Participants were categorized into quartiles (Q1-Q4). Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality. Subgroup analyses examined heterogeneity by age, sex, residence, and other covariates, and restricted cubic splines explored dose-response relationships. Results: During 10,356 person-years of follow-up, 1,412 deaths occurred (136.3/1,000 person-years). Each 1-unit increase in MetS Score was associated with a 13.9% lower mortality risk (HR = 0.861, 95% CI: 0.787-0.942). The protective effect was concentrated in Q4 vs. Q1 (HR = 0.792, 95% CI: 0.669-0.938). Subgroup analyses showed stronger associations in those aged ≥80 years (HR = 0.785, 95% CI: 0.660-0.935), women (HR = 0.758, 95% CI: 0.617-0.931) and rural residents (HR = 0.817, 95% CI: 0.618-0.980). Restricted cubic splines confirmed a linear inverse association overall and among the ≥80 years group. Conclusion: MetS Score, reflecting MetS severity, was inversely associated with all-cause mortality in older Chinese adults, particularly among those aged ≥80 years. These findings suggest that higher MetS Score may paradoxically confer survival benefits in the older adults, warranting further mechanistic studies.

Indexed as

Metabolic SyndromeMortalityAgedAged, 80 and overBiomarkersCause of DeathChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsSeverity of Illness IndexBiomarkersall-cause mortalityChinese older populationCLHLSmetabolic syndromeMetS Score

Identifiers

PMID42293660
PMCPMC13259693

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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.