Abstract

Objective: To investigate the impact of persistent high ambient fine particulate matters (PM(2.5)) exposures on mortality in the polluted areas of 40 districts/counties in China. Methods: Using a convenient sampling method, we selected 40 districts/counties as research sites from the Beijing-Tianjin-Hebei Metropolitan Region, the Yangtze River Delta, the Pearl River Delta, and Heilongjiang, Shanxi, and Sichuan province. The daily concentrations of PM(2.5), meteorological data and population death data from January 1, 2013 to December 31, 2015 were collected. The six persistent PM(2).5 pollution episode scenarios were defined by the average daily concentration of PM(2.5) (75 μg/m(3), P(75) and P(90) of the average daily concentration of each district/county respectively) and the duration (≥2 days or 3 days). Generalized linear models and meta analyses were used to explore the impact of PM(2.5) pollution episodes on mortality in 40 districts/counties. Results: The mean±SD and P(50) (P(25), P(75)) of average daily temperature, relative humidity and PM(2.5) were (15.26±10.48) ℃, 17.20 (7.50, 23.70) ℃, (67.31±19.26)%, 72.00% (57.00%, 81.00%), (72.81±60.93) μg/m(3) and 55.38 (33.77, 91.45) μg/m(3), respectively in 40 districts/counties during 2013-2015. The average number of non-accidental, cardiovascular and cerebrovascular diseases deaths per day were (12±7), (5±4) and (2±2) in each district/county, respectively. When the daily concentrations of PM(2.5) were ≥75 μg/m(3) (≥2 days), ≥P(75) (≥2 days), ≥P(90) (≥2 days), ≥75 μg/m(3) (≥3 days), and ≥P(75) (≥3 days), the excess risk (95%CI) of the total non-accidental deaths and cardiovascular diseases deaths were 1.77% (0.89%,2.66%), 2.69% (1.06%,4.35%), 1.67% (0.59%,2.76%), 2.31% (0.67%, 3.97%), 0.71% (-0.75%, 2.20%), 1.95% (0.08%, 3.86%), 1.15% (0.12%, 2.18%), 1.85% (0.25%, 3.47%), 1.39% (0.15%, 2.64%), 2.29% (0.39%, 4.23%), respectively. Conclusion: Persistently high PM(2.5) exposures were associated with total non-accidental deaths and cardiovascular disease deaths.

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