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Background Kunming is a plateau city with sufficient sunshine, high ultraviolet intensity, and strong radiation. In recent years, ozone (O3) pollution has gradually become the primary problem of air pollution in the city. Objective To evaluate the health effects of atmospheric O3 exposure on non-accidental deaths in Kunming. Methods The data of meteorological variables (average temperature, average relative humidity, average air pressure, and average wind speed), air pollutants (PM2.5, PM10, SO2, CO, and O3) and non-accidental deaths (NAD) of residents were collected in Kunming from 2017 to 2019. A generalized additive model was adopted to conduct time-series analyses on the current-day (lag0), single-day (lag1-lag3), and cumulative lag (lag01-lag03) effects of O3 on NAD; furthermore, hierarchical analyses by gender, age, and season (warm and cold) were conducted. Results The average concentration of O3-8h from 2017 to 2019 was (84.3±32.3) μg·m−3. For every 10 μg·m−3 increase in O3-8h concentration, the NAD risks of lag0, lag01, and lag02 of total population increased by 0.70% (95%CI: 0.11%-1.29%) 0.79% (95%CI: 0.14%-1.44%), and 0.75% (95%CI: 0.08%-1.43%), respectively; for women, the NAD risks of lag2 and lag02 increased by 0.80% (95%CI: 0.08%-1.53%) and 1.05% (95%CI: 0.09%-2.03%) respectively; for the residents over the age of 65, the associated NAD risks of lag0, lag01, and lag02 increased by 0.82% (95%CI: 0.16%-1.48%), 0.93% (95%CI: 0.20%-1.67%), and 0.96% (95%CI: 0.20%-1.73%), respectively; in the warm season, the NAD risks of lag0, lag01, and lag02 increased by 0.91% (95%CI: 0.12%-1.70%), 0.98% (95%CI: 0.12%-1.86%), and 1.00% (95%CI: 0.07%-1.93%), respectively; After introducing PM2.5, PM10, SO2, NO2, and CO to the model, the effects of O3 exposure level on resident’s NAD was not statistically significant. Conclusion An increase of O3 exposure level associates with an increase of NAD risk in residents, and there is a lag effect. Residents over the age of 65, women, and all residents in warm season may be more sensitive to O3 exposure.
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Objective@#To evaluate the relationship between air pollutants and mortality of residents in Huairou District, Beijing, providing a basis for the formulation of air pollution control measures. @*Methods @#The data of daily deaths, meteorological factors and air pollutants in Huairou District from 2014 to 2018 were collected from Beijing Disease Prevention Monitoring Information Integration and Analysis System, Huairou Meteorological Bureau and Environmental Monitoring Station. The generalized additive models were used to analyze the relationship between the average daily concentration of air pollutants and the daily deaths.@*Results@#The medians of daily average concentrations of SO2, NO2, CO, O3, PM10 and PM2.5 were 5.00 μg/m3, 24.00 μg/m3, 0.71 mg/m3, 77.27 μg/m3, 64.25 μg/m3 and 44.13 μg/m3, respectively. Except for O3, the daily average concentrations of SO2, NO2, CO, PM10 and PM2.5 showed decreasing trends from 2014 to 2018. An increase of 10 μg/m3 of NO2 resulted in an elevation of 1.69% ( 95%CI: 0.31%-3.08% ) , 3.31% ( 95%CI: 1.24%-5.42% ) and 3.31% ( 95%CI: 0.51%-6.19% ) for non-accidental death in the whole population, females and people under 65 years old, respectively, with a delay of 2 days (lag2). For every 10 μg/m3 increase in the daily average concentrations of CO and PM2.5, the risk of non-accidental death among people under 65 years old at lag2 increased by 0.08% ( 95%CI: 0.01%-0.14% ) and 0.88% ( 95%CI: 0.12%-1.64% ) , respectively. For every 10 μg/m3 increase in daily average concentration of O3, there was 0.69% ( 95%CI: 0.02%-1.36% ) increase in daily male non-accidental death risk at lag4. The results of the multi-pollutant model showed that after adjusting the effects of the other two air pollutants, NO2, CO and PM2.5 had no statistically significant effects on the daily non-accidental deaths of people under 65 years old at lag2 ( P>0.05 ) . @*Conclusion@# The ambient NO2, CO, O3 and PM2.5 pollution increase daily non-accidental deaths, which shows a lag effect．
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Objective To study the relationship between daily temperature and non-accidental deaths in four districts of Jinan,and to investigate the impact of temperature on cause-specific mortality. Methods Data on daily mortality of the four districts(Shizhong,Huaiyin,Tianqiao,Lixia) as well as data related to meteorology and air pollution index were collected from January 1,2008 to December 31,2012. Distributed lag non-linear model(DLNM)was then used to assess the effects of temperature on all non-accidental deaths and deaths caused by cardiovascular diseases (CVD), respiratory diseases(RD),digestive diseases,urinary diseases,and also subcategories to hypertension, ischemic heart diseases(IHD),acute myocardial infarction(AMI),cerebro-vascular diseases(CBD) and chronic lower respiratory diseases. Results A W-shaped relationship was noticed between daily average temperature and non-accidental deaths. The effect of low temperature last for more than 30 days,much longer than that of high temperature,in which presented a harvesting effect less than 5 days. As to the cause-specific mortality,short-term heat effects were seen in CVD and RD as well as related subgroups as IHD,CBD and AMI,with RRs at lag 0 as 1.12(95%CI:1.07-1.17),1.06 (95%CI:1.02-1.31),1.08(95%CI:1.003-1.16),1.10(95%CI:1.02-1.20) and 1.13 (95%CI:1.003-1.26). Relatively higher RRs were seen in urinary diseases and hypertension under extremely high temperature,reaching as high as 2.30(95%CI:1.18-4.51)and 1.65(95%CI:1.02-2.69). Cold weather presented a delayed effect for 30 days,with cumulative RRs as 1.51(95%CI:1.42-1.60),1.90 (95%CI:1.64-2.20),2.12(95%CI:1.67-2.69),1.48(95%CI:1.08-2.03),1.60(95%CI:1.46-1.75), 1.40(95%CI:1.26-1.55),1.68(95%CI:1.45-1.95)for CVD,RD,chronic lower respiratory diseases, hypertension,IHD,CBD and AMI,on sequence. Conclusion A relationship was seen between daily temperature and non-accidental deaths as well as cause-specific mortality. Either high or low temperature seemed to be detrimental. Related measures on disease prevention should be taken during the cold and hot seasons.
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Objective To study the relationship between daily temperature and non-accidental deaths in four districts of Jinan,and to investigate the impact of temperature on cause-specific mortality. Methods Data on daily mortality of the four districts(Shizhong,Huaiyin,Tianqiao,Lixia) as well as data related to meteorology and air pollution index were collected from January 1,2008 to December 31,2012. Distributed lag non-linear model(DLNM)was then used to assess the effects of temperature on all non-accidental deaths and deaths caused by cardiovascular diseases (CVD), respiratory diseases(RD),digestive diseases,urinary diseases,and also subcategories to hypertension, ischemic heart diseases(IHD),acute myocardial infarction(AMI),cerebro-vascular diseases(CBD) and chronic lower respiratory diseases. Results A W-shaped relationship was noticed between daily average temperature and non-accidental deaths. The effect of low temperature last for more than 30 days,much longer than that of high temperature,in which presented a harvesting effect less than 5 days. As to the cause-specific mortality,short-term heat effects were seen in CVD and RD as well as related subgroups as IHD,CBD and AMI,with RRs at lag 0 as 1.12(95%CI:1.07-1.17),1.06 (95%CI:1.02-1.31),1.08(95%CI:1.003-1.16),1.10(95%CI:1.02-1.20) and 1.13 (95%CI:1.003-1.26). Relatively higher RRs were seen in urinary diseases and hypertension under extremely high temperature,reaching as high as 2.30(95%CI:1.18-4.51)and 1.65(95%CI:1.02-2.69). Cold weather presented a delayed effect for 30 days,with cumulative RRs as 1.51(95%CI:1.42-1.60),1.90 (95%CI:1.64-2.20),2.12(95%CI:1.67-2.69),1.48(95%CI:1.08-2.03),1.60(95%CI:1.46-1.75), 1.40(95%CI:1.26-1.55),1.68(95%CI:1.45-1.95)for CVD,RD,chronic lower respiratory diseases, hypertension,IHD,CBD and AMI,on sequence. Conclusion A relationship was seen between daily temperature and non-accidental deaths as well as cause-specific mortality. Either high or low temperature seemed to be detrimental. Related measures on disease prevention should be taken during the cold and hot seasons.
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Objective To study the impact of daily mean temperature on mortality in Shanghai.Methods With data on daily mortality,meteorological and air pollution,we used a distributed lag nonlinear model (DLNM) to assess the effects of daily mean temperature on deaths (caused by non-accidental,cardiovascular and respiratory) adjusted for both secular,seasonal trends and other confounders.Results A J-shaped relationship was found consistently between daily mean temperature and non-accidental,cardiovascular and respiratory deaths in Shanghai.Cold effects were delayed by 1 day to 4 days and persisted for 14-30 days.Hot effects appeared acute and the highest at the first day,but lasted for 2 days and followed by mortality displacement.Conclusion In Shanghai,both cold and hot temperatures increased the risk of mortality with delayed effects.Cold effects seemed last longer than heat did.