文献类型：期刊文献

英文题名：Associations of PM2.5 composition and green space with metabolic syndrome in a Chinese essential hypertensive population

作者：Xiao, Ya[1]; Liu, Ce[1]; Lei, Ruoyi[1]; Wang, Zengwu[2]; Wang, Xin[2]; Tian, Hezhong[3]; Xue, Baode[1]; Zhou, Erkai[1]; Zhang, Kai[4]; Hu, Jihong[5]; Luo, Bin[1]

第一作者：Xiao, Ya

机构：[1] Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Gansu, Lanzhou, 730000, China; [2] Division of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100037, China; [3] State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; [4] Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, NY, 12144, United States; [5] School of Public Health, Gansu University of Chinese Medicine, Gansu, Lanzhou, 730000, China

第一机构：Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Gansu, Lanzhou, 730000, China

年份：2023

卷号：343

外文期刊名：Chemosphere

收录：EI(收录号：20233914790107);Scopus(收录号：2-s2.0-85171971819)

语种：英文

外文关键词：Air pollution - Particles (particulate matter)

摘要：Background: Metabolic syndrome (MetS) has emerged as a significant global public health concern. While environmental factors, including PM2.5, have been identified as important risk factors for MetS in the general population, limited studies have investigated their impact on individuals with essential hypertension. Therefore, our study aims to explore the relationship between PM2.5 composition, green space, and their combined effects on MetS among a Chinese essential hypertensive population. Method: A total of 20,131 participants diagnosed with essential hypertension from 10 provinces in China were included in this study. Individual level exposure to various environmental factors (including PM2.5, PM2.5 composition, green space and temperature) were evaluated using spatiotemporal models based on satellites data. Participants were defined as MetS according to the definition issued by the International Diabetes Federation. Generalized additive mixed models were used to analyze the individual air pollutants, green space and their interaction on MetS. Result: The prevalence of MetS in this population was 44.33%. The adjusted odd ratio (OR) of MetS, with each one unit increase in SO42?, BC and NO3? were 1.077 (1.049, 1.106), 1.126 (1.077, 1.177) and 0.977 (0.958, 0.996) respectively. Additionally, each unit increase of the Normalized Difference Vegetation Index (NDVI) was associated with a decreased risk of MetS (OR: 0.988, 95% CI: 0.984–0.993). In particular, green space was found to mitigate the adverse impacts of PM2.5 on MetS (OR: 0.988, 95% CI: 0.984–0.993). Conclusion: Our results suggested that there was a positive association between PM2.5 and its composition (SO42?, BC) with MetS in the essential hypertensive population, while green space might play a protective role. Moreover, green space could effectively weaken the positive relationship between air pollutants and MetS, especially in males and participants younger than 60 years old. ? 2023