A cross⁃sectional study of the association between long⁃term air pollution and cardiometabolic multimorbidity in middle⁃aged and elderly populations

WANG Ziwei; LÜ Fang; LI Junzhen; ZHONG Linling; LI Hang; QIN Juanjuan; YE Xujun

doi:10.14188/j.1671-8852.2024.0068

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A cross⁃sectional study of the association between long⁃term air pollution and cardiometabolic multimorbidity in middle⁃aged and elderly populations

更新时间：2026-11-05

- A cross⁃sectional study of the association between long⁃term air pollution and cardiometabolic multimorbidity in middle⁃aged and elderly populations
- Medical Journal of Wuhan University Vol. 46, Issue 4, Pages: 480-486(2025)
- 作者机构：
  
  1.武汉大学中南医院老年病科湖北武汉 430071
  2.武汉大学护理学院健康老龄化研究中心湖北武汉 430071
- 作者简介：
- 基金信息：
- DOI：10.14188/j.1671-8852.2024.0068
  CLC： R541.8
- Received：25 January 2024，
  
  Published：25 April 2025
- 稿件说明：
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王紫薇,吕放,李君真等.长期空气污染与中老年人群心脏代谢性多发病关联的横断面研究[J].武汉大学学报（医学版）,2025,46(04):480-486.

WANG Ziwei,LÜ Fang,LI Junzhen,et al.A cross⁃sectional study of the association between long⁃term air pollution and cardiometabolic multimorbidity in middle⁃aged and elderly populations[J].Medical Journal of Wuhan University,2025,46(04):480-486.
王紫薇,吕放,李君真等.长期空气污染与中老年人群心脏代谢性多发病关联的横断面研究[J].武汉大学学报（医学版）,2025,46(04):480-486. DOI： 10.14188/j.1671-8852.2024.0068.

WANG Ziwei,LÜ Fang,LI Junzhen,et al.A cross⁃sectional study of the association between long⁃term air pollution and cardiometabolic multimorbidity in middle⁃aged and elderly populations[J].Medical Journal of Wuhan University,2025,46(04):480-486. DOI： 10.14188/j.1671-8852.2024.0068.

摘要

目的

探讨长期空气污染，特别是细颗粒物（PM

2.5

）及其组分与心脏代谢性多发病（CMM）之间的关联。

方法

利用中国健康与退休追踪调查（CHARLS）中2015年全国人口数据，收集我国15 632名45岁及以上的参与者人口学特征及疾病状态。使用中国空气污染追踪系统（TAP）获取气象数据。采用二元逻辑回归分析探讨PM

2.5

及其化学成分与CMM之间的关系。

结果

研究结果显示，纳入的参与者中有12.5%的人群患有CMM。PM

2.5

及其组分的暴露与CMM的患病存在显著正相关。3年累积的黑碳（BC）暴露对CMM的风险最高（

=1.147，95%

：1.083~1.214）。女性和老年人更容易受到空气污染风险的影响。

结论

本研究强调了解决空气污染作为预防和管理CMM的关键因素的重要性，特别是在易受影响的人群中。

Abstract

Objective

To investigate the association between long⁃term air pollution

particularly particulate matter （PM

2.5

） and its components

and cardiometabolic multimorbidity (CMM).

Methods

We utilized population data from the China health and retirement longitudinal study (CHARLS)

including 15 632 individuals aged 45 years and above. Meteorological data

obtained from the tracking air pollution in China (TAP) system

provided information on PM

2.5

and its chemical composition. Binary logistic regression analysis was conducted to explore the relationship between PM

2.5

and its chemical components and CMM.

Results

The study revealed that 12.5% of the population had CMM. Long⁃term exposure to PM

2.5

and its components showed a significant positive association with CMM prevalence. Among the components

black carbon demonstrated the highest risk of CMM over a 3⁃year period (

=1.147;95%

: 1.083⁃1.214). Additionally

females and older individuals were more vulnerable to the risk of air pollution.

Conclusion

These findings emphasize the importance of addressing air pollution as a key factor in CMM prevention and management

particularly among susceptible populations. Measures targeting the reduction of air pollution should be implemented to mitigate the adverse impacts and ultimately improve public health outcomes.

关键词

Keywords

references

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