The association between metabolic syndrome and risk of severe infection: A population-based cohort study

IF 3 3区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Annals of Epidemiology Pub Date : 2025-08-18 DOI:10.1016/j.annepidem.2025.08.015

Ming Zhao , Jiayi Huang , Luojia Dai , Chenyu Liang , Yankun Liu , Haili Wang , Xin Zhang , Shuzhen Zhao , Chengnan Guo , Zhenqiu Liu , Tiejun Zhang

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引用次数: 0

Abstract

Purpose

The association between metabolic syndrome (MetS) and severe infection remains inconclusive. We investigated the potential associations between MetS and its components and severe infection in a large population-based cohort.

Methods

We used data from Shanghai Suburban Adult Cohort and Biobank which includes 35,193 participants who were enrolled in 2016 and 2017 with follow-up until March 2024. Severe infections, defined as those requiring hospital admission or resulting in mortality, were identified through medical records. Cox proportional hazards models were used to analyze the associations between MetS and its components with incident severe infection.

Results

During a median of 6.96 years of follow-up, a total of 1143 (11.78 %) severe infections occurred in participants with MetS and 2337 (9.18 %) in No MetS group. MetS was associated with an increased risk of severe infection compared to the No MetS group (HR, 1.19; 95 % CI, 1.11–1.28). Among the individual components, elevated waist circumference, fasting blood glucose, and reduced HDL cholesterol were associated with increased severe infection risk, whereas elevated blood pressure alone was associated with reduced severe infection risk (HR, 0.91; 95 % CI, 0.85–0.98). The risk of severe infection also increased with increasing number of MetS components, with the highest risk found in the presence of all 5 components (HR, 1.70; 95 % CI, 1.39–2.07).

Conclusions

MetS was associated with an increased risk of severe infection. Further studies are warranted to elucidate the association between MetS and severe infection.

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代谢综合征与严重感染风险之间的关系：一项基于人群的队列研究

目的代谢综合征（MetS）与严重感染之间的关系尚不明确。我们在一个以人群为基础的队列中调查了MetS及其成分与严重感染之间的潜在关联。方法使用上海郊区成人队列和生物库的数据，包括2016年和2017年入组的35193名参与者，随访至2024年3月。严重感染，定义为需要住院或导致死亡的感染，是通过医疗记录确定的。Cox比例风险模型用于分析MetS及其组成部分与突发严重感染之间的关系。结果在中位随访6.96年期间，有MetS的参与者共发生1143例（11.78 %）严重感染，无MetS组发生2337例（9.18 %）严重感染。与无MetS组相比，MetS与严重感染风险增加相关（HR, 1.19; 95 % CI, 1.11-1.28）。在个体成分中，腰围升高、空腹血糖和高密度脂蛋白胆固醇降低与严重感染风险增加相关，而单独升高的血压与严重感染风险降低相关（HR, 0.91; 95 % CI, 0.85-0.98）。严重感染的风险也随着MetS成分数量的增加而增加，所有5种成分都存在时风险最高（HR, 1.70; 95 % CI, 1.39-2.07）。结论smets与严重感染风险增加相关。需要进一步的研究来阐明MetS与严重感染之间的关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annals of Epidemiology 医学-公共卫生、环境卫生与职业卫生

CiteScore

7.40

自引率

1.80%

发文量

207

审稿时长

59 days

期刊介绍： The journal emphasizes the application of epidemiologic methods to issues that affect the distribution and determinants of human illness in diverse contexts. Its primary focus is on chronic and acute conditions of diverse etiologies and of major importance to clinical medicine, public health, and health care delivery.