1. Individual PM 2.5 component exposure model, elevated blood pressure and hypertension in middle-aged and older adults: A nationwide cohort study from 125 cities in China.
- Author
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Li G, Su W, Zhong Q, Hu M, He J, Lu H, Hu W, Liu J, Li X, Hao J, and Huang F
- Subjects
- Aged, Blood Pressure, China epidemiology, Cities, Cohort Studies, Environmental Exposure analysis, Humans, Male, Middle Aged, Particulate Matter analysis, Particulate Matter toxicity, Air Pollutants analysis, Air Pollutants toxicity, Air Pollution analysis, Hypertension chemically induced, Hypertension epidemiology
- Abstract
Recently, elevated blood pressure (BP) and hypertension (HTN) have caused a huge burden of health loss. Previous studies used ambient air pollutants as a proxy for individual exposure, limiting the assessment of its multiple exposure to health effects. For the first time, this study constructed individual PM
2.5 component (SO4 2- , NO3 - , NH4 + , OM, and BC) exposure model DAG (Directed Acyclic Graph), DAG-oriented generalized linear model and random forest model, and explored the effects of single and multiple exposures to PM2.5 components on BP at different stages by the generalized linear model (GLM) and Quantile g-Computation (QgC) model based on a large cohort study in China. We defined BP in four stages according to the 2017 ACC/AHA guidelines. After excluding the lack of key information, the cohort analyses ultimately included 9031 participants. Our results showed that the individual PM2.5 component exposure model had good efficacy. Single or multiple exposure to PM2.5 components had significant positive effects on normal BP to elevated BP and elevated BP to stage 1 HTN. In addition, males, the elderly and urban residents were more sensitive to PM2.5 components. This study provided implications for environmental exposure assessment and control of particulate pollution in the future., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Inc. All rights reserved.)- Published
- 2022
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