首页|Long-term PM1 exposure and hypertension hospitalization:A causal inference study on a large community-based cohort in South China

Long-term PM1 exposure and hypertension hospitalization:A causal inference study on a large community-based cohort in South China

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Limited evidence exists on the effect of submicronic particulate matter(PM1)on hypertension hospital-ization.Evidence based on causal inference and large cohorts is even more scarce.In 2015,36,271 par-ticipants were enrolled in South China and followed up through 2020.Each participant was assigned single-year,lag0-1,and lag0-2 moving average concentration of PM1 and fine inhalable particulate mat-ter(PM2.5)simulated based on satellite data at a 1-km resolution.We used an inverse probability weight-ing approach to balance confounders and utilized a marginal structural Cox model to evaluate the underlying causal links between PM1 exposure and hypertension hospitalization,with PM2.5-hypertension association for comparison.Several sensitivity studies and the analyses of effect modifica-tion were also conducted.We found that a higher hospitalization risk from both overall(HR:1.13,95％CI:1.05-1.22)and essential hypertension(HR:1.15,95％CI:1.06-1.25)was linked to each 1 pg/m3 increase in the yearly average PM1 concentration.At lag0-1 and lag0-2,we observed a 17％-21％higher risk of hypertension associated with PM1.The effect of PM1 was 6％-1 1％higher compared with PM2.5.Linear concentration-exposure associations between PM1 exposure and hypertension were identified,without safety thresholds.Women and participants that engaged in physical exercise exhibited higher suscepti-bility,with 4％-22％greater risk than their counterparts.This large cohort study identified a detrimental relationship between chronic PM1 exposure and hypertension hospitalization,which was more pro-nounced compared with PM2.5 and among certain groups.

PM1HypertensionCausal inferenceLarge cohort

Yuqin Zhang、Shirui Chen、Jing Wei、Jie Jiang、Xiao Lin、Ying Wang、Chun Hao、Wenjing Wu、Zhupei Yuan、Jie Sun、Han Wang、Zhicheng Du、Wangjian Zhang、Yuantao Hao

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Department of Medical Statistics,School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute,Sun Yat-sen University,Guangzhou 510080,China

Department of Atmospheric and Oceanic Science,Earth System Science Interdisciplinary Center,University of Maryland,College Park 20742,USA

Department of Epidemiology & Biostatistics,School of Public Health,Peking University,Beijing 100191,China

Peking University Center for Public Health and Epidemic Preparedness & Response,Peking University,Beijing 100191,China

Key Laboratory of Epidemiology of Major Diseases(Peking University),Ministry of Education,Beijing 100191,China

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国家重点研发计划国家自然科学基金国家自然科学基金Young Elite Scientist Sponsorship Program by China Association for Science and TechnologyGuangdong Provincial Pearl River Talents ProgramBasic and Applied Basic Research Foundation of Guangdong Province广州市科技局项目Fundamental Research Funds for the Central Universities,Sun Yatsen University

2022YFC360080482204162822041542023QNRC00109202202072022A15150108232023A04J207223qnpy108

2024

10.1016/j.scib.2024.03.028

科学通报(英文版)
中国科学院

科学通报(英文版)

CSTPCD
ISSN：1001-6538
年,卷(期)：2024.69(9)
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