| 1 | A Time-Series Analysis on the Association Between Fine Particulate Matter and Daily Mortality—Shijiazhuang City,Hebei Province,China,2015–2020显示文摘Introduction:Shijiazhuang is one of the most polluted cities in China,but few studies have investigated the acute impact of fine particulate matter(PM_(2.5))on mortality in this city.We assessed associations between PM_(2.5)and cause-specific mortality during 2015 to 2020.Methods:We obtained air quality data from Shijiazhuang Ecology and Environment Bureau,meteorological data from Shijiazhuang Meteorological Bureau,and mortality data from Shijiazhuang CDC’s Cause of Death Reporting System for our analyses.We used a quasi-Poisson regression generalized additive model to assess excess risk of death for a single time-lag and for moving average time-lags of 0–7 days,stratifying by year,sex,age,and education.Results:There were 76,859 non-accidental deaths recorded in Shijiazhuang during the study period.The daily concentration of PM_(2.5)ranged from 6.3μg/m^(3)to 625.3μg/m^(3),and the annual mean concentration was 77.6μg/m^(3).Regression analysis showed that an increment of PM_(2.5)of 10μg/m^(3)in a two-day average concentration(lag01)was associated with 0.47%[95%Confidence Interval(CI):0.24%,0.70%],0.49%(95%CI:0.19%,0.79%),and 0.72%(95%CI:0.22%,1.23%)increases in non-accidental deaths,cardiovascular disease deaths,and respiratory disease deaths,respectively.With reduction of PM_(2.5)concentration,impact of PM_(2.5)on respiratory disease deaths decreased,but the impact of PM_(2.5)on total nonaccidental deaths and circulatory disease deaths did not change significantly.Conclusion:Although PM_(2.5)has been greatly reduced in recent years,PM_(2.5)pollution is still serious in Shijiazhuang.PM_(2.5)was significantly associated with non-accidental death,cardiovascular disease death,and respiratory disease death.As PM_(2.5)concentrations decreased,risk of death from respiratory diseases also decreased. | Mingyang Guan Chengyao Sun Dajing Tang Hui Kang Fengge Chen | 2022 | China CDC weekly2022，4，11： | 1 |
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