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Objective@#To investigate the impact of persistent high ambient fine particulate matters (PM2.5) 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 PM2.5, meteorological data and population death data from January 1, 2013 to December 31, 2015 were collected. The six persistent PM2.5 pollution episode scenarios were defined by the average daily concentration of PM2.5 (75 μg/m3, P75 and P90 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 PM2.5 pollution episodes on mortality in 40 districts/counties.@*Results@#The mean±SD and P50 (P25, P75) of average daily temperature, relative humidity and PM2.5 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/m3 and 55.38 (33.77, 91.45) μg/m3, 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 PM2.5 were ≥75 μg/m3 (≥2 days), ≥P75 (≥2 days), ≥P90 (≥2 days), ≥75 μg/m3 (≥3 days), and ≥P75 (≥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 PM2.5 exposures were associated with total non-accidental deaths and cardiovascular disease deaths.
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Objective@#To investigate the association of ambient fine particulate matters (PM2.5) exposure with anxiety in middle-aged and elderly people in China.@*Methods@#Using a stratified random sampling method, 5 997 middle-aged and elderly people (aged 40-89) who resided in the region for more than 2 years and had no hearing or language impairment were selected from 32 districts/counties in the key areas for air pollution prevention and control in China from October 10th, 2017 to February 7th, 2018. Information about demographic characteristics, socioeconomic factors and health status were collected by questionnaire survey and physical examination. The anxiety symptoms were assessed by 7-item Generalized Anxiety Disorder Scales. Three-year moving average concentrations of PM2.5 were calculated to estimate exposure level. The multivariate logistic regression model was conducted to assess the association between PM2.5 exposure and anxiety. The interaction of age, gender, overweight, education, smoking, drinking and chronic diseases was also analyzed by likelihood ratio test.@*Results@#There were 2 995 (49.94%) males subjects, 4 092 (68.23%) subjects with education of secondary school or above and 2 576 (42.95%) subjects with self-reported chronic diseases among the 5 997 middle-aged and elder participants. The prevalence of anxiety was 6.64% (n=398). The mean±SD of 3-year moving average concentrations of PM2.5, O3 and SO2 were (53.50±13.38), (90.58±13.26) and (40.29±12.56) μg/m3, respectively. PM2.5 had significantly association with anxiety, and the corresponding OR value was 1.17 (95%CI: 1.05,1.31) with a 10 μg/m3 increment of 3-year moving average concentrations of PM2.5. Compared with female (OR (95%CI)=1.07 (0.93,1.23)), those with no chronic diseases (OR (95%CI)=1.06 (0.93,1.20)) and those with primary school degree or below (OR (95% CI)=0.90 (0.75,1.09)), the association between PM2.5 and anxiety was stronger among male (OR (95%CI)=1.35 (1.12,1.63)) and those with chronic diseases (OR (95%CI)=1.77 (1.31,2.38)), middle school education (OR (95%CI)=1.43 (1.22,1.67)), college education and above (OR (95%CI)=1.68 (1.05, 2.67)), all the P interaction values were <0.05.@*Conclusion@#PM2.5 exposure has significantly positive association with anxiety. The associations are stronger in male, people with higher educational qualifications and patients with chronic diseases.
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It is reported that depression has caused heavy disease burden across the world,with an possible association between ambient air pollution and depressive symptoms.In this paper,we reviewed relative literature in this field and summarized the research events on association between ambient air pollution and depression,both in China and abroad and found that the results of the existed studies were inconsistent,with most studies showing that there existed a positive correlation between the exposure of air pollution and depression,but few studies showing the negative correlation or no correlation between the two.
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It is reported that depression has caused heavy disease burden across the world,with an possible association between ambient air pollution and depressive symptoms.In this paper,we reviewed relative literature in this field and summarized the research events on association between ambient air pollution and depression,both in China and abroad and found that the results of the existed studies were inconsistent,with most studies showing that there existed a positive correlation between the exposure of air pollution and depression,but few studies showing the negative correlation or no correlation between the two.
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Objective To summarize the progress in the research of the association between air pollution and adverse birth outcomes in China.Methods A literature retrieval was conducted by using the databases of CNKI,Wanfang,Pubmed,Science Direct,and Web of Science to select relevant research papers published before 30th,June 2016 in China according to inclusion criteria.Finally,27 papers were included in analysis.Results Exposure to particulate matter (PM10),sulfur dioxide (SO2),nitrogen dioxide (NO2),total suspended particles (TSP) during pregnancy might increase risk for low birth weight;exposure to PM10,SO2,NO2 during pregnancy might increase risk for premature birth;and exposure to SO2,NO2,ozone (O3),and PM10 during pregnancy might increase risk for congenital heart diseases and other birth defects.Conclusion Exposure to air pollutants during pregnancy might increase the risk for adverse birth outcomes,and further studies are needed to prove the association.
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Objective To summarize the progress in the research of the association between air pollution and adverse birth outcomes in China.Methods A literature retrieval was conducted by using the databases of CNKI,Wanfang,Pubmed,Science Direct,and Web of Science to select relevant research papers published before 30th,June 2016 in China according to inclusion criteria.Finally,27 papers were included in analysis.Results Exposure to particulate matter (PM10),sulfur dioxide (SO2),nitrogen dioxide (NO2),total suspended particles (TSP) during pregnancy might increase risk for low birth weight;exposure to PM10,SO2,NO2 during pregnancy might increase risk for premature birth;and exposure to SO2,NO2,ozone (O3),and PM10 during pregnancy might increase risk for congenital heart diseases and other birth defects.Conclusion Exposure to air pollutants during pregnancy might increase the risk for adverse birth outcomes,and further studies are needed to prove the association.
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<p><b>OBJECTIVE</b>There are evidences that heat wave events cause deaths and emergency cases. This article used the contingent valuation method to find the willingness to pay for the protective measures and investigated the factors that influence the willingness to pay.</p><p><b>METHODS</b>A cross-sectional face-to-face household survey was completed by 637 urban long-term residents and 591 rural long-term residents aged 15-79 in Beijing, China. Binary logistic regression was used to identify factors that influenced the payment rate or payment amount for the protective measures, including independent variables for district, gender, age, education, income, air conditioner ownership, heat wave experience, and chronic non-communicable disease.</p><p><b>RESULTS</b>The payment rate was 41.1% for protective measures provided by the government and 39.5% by measures provided by the market. Most of the respondents were willing to pay 40 CNY per capita annually for measures provided by the government or the market. The factors influencing willingness to pay were district, gender, income, air conditioner ownership, heat wave experience, and chronic non-communicable disease..</p><p><b>CONCLUSION</b>Protective measures for heat waves need to be provided immediately. More attention should be paid to the situation of vulnerable groups, such as people who live in urban areas, those without air conditioning, and those who have experienced a heat wave in the past.</p>