Residential greenspace and blood lipids in an essential hypertension population: Mediation through PM2.5 and chemical constituents

血脂异常 调解 血脂 环境卫生 人口 医学 胆固醇 肥胖 内科学 政治学 法学
作者
Ruoyi Lei,Ling Zhang,Xin Liu,Ce Liu,Ya Xiao,Baode Xue,Zengwu Wang,Jihong Hu,Zhoupeng Ren,Bin Luo
出处
期刊:Environmental Research [Elsevier BV]
卷期号:240: 117418-117418 被引量:9
标识
DOI:10.1016/j.envres.2023.117418
摘要

Fine particulate matter (PM2.5) adversely affects blood lipids, while residential greenspace exposure may improve blood lipids levels. However, the association between exposure to residential greenspace and blood lipids has not been adequately studied, especially in vulnerable populations (e.g. people with essential hypertension). This study aimed to assess the association between residential greenspace exposure and blood lipids, and to clarify whether PM2.5 and chemical constituents was mediator of it. We used a period (May 2010 to December 2011) from the Chinese national hypertension project. The residential greenspace was estimated using satellite-derived normalized difference vegetation index (NDVI). The generalized additive mixed model (GAMM) was used to assess the association between exposure to residential greenspace and blood lipids, and the mediation model was used to examine whether there was a mediating effect of PM2.5 and chemical constituents on that association. The exposure to residential greenspace was negatively associated with the decreased risk of dyslipidemia, especially short-term exposure. For example, the odd ratioshort-term for dyslipidemia was 0.915 (95% CI:0.880 to 0.950). This association was strengthened by physical activity and participants living in the North. PM2.5 and chemical constituents were important mediators in this association, with the proportion of mediators ranging from -5.02% to 26.33%. The association between exposure to residential greenspace and dyslipidemia in this essential hypertensive population, especially participants living in the North and doing daily physical activity, was mediated by PM2.5 and chemical constituents.
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