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Association Between Ambient Air Pollution And Daily Hospital Visits For Cardiovascular Diseases In Wuhan,China ——A Time-series Analysis Based On Medical Insurance Data

Posted on:2022-12-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y N MengFull Text:PDF
GTID:2491306767965609Subject:Cardiovascular System Disease
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Objective Although a large number of studies have proved the adverse effects of exposure to air pollution on cardiovascular disease,few studies have done such research focusing on the medically insured population,a group of relatively healthier people representing the working population.Methods We used generalized additive model(GAM)to estimate the short-term effects of ambient air pollution on Cardiovascular diseases,(CVDs)in Wuhan,China.We extracted daily air pollution data,meteorological data,and daily hospital visits for CVDs(including hypertension,coronary heart disease [CHD],and heart disease [HD])from November 1st,2013 to October 31 st,2018.Results For each increase of 10 μg/m3 in sulfur dioxide(SO2),nitrogen dioxide(NO2),ground-level ozone(O3),particulate matter(PM)with an aerodynamic diameter ≤ 10 mm(PM10),and those ≤ 2.5 mm(PM2.5),the relative risks(RRs)of daily hospital visits for hypertension increased by 3.8%(95% confidence interval [CI]: 1.8%,5.9%),2.5%(95% CI: 1.9%,3.2%),0.5%(95% CI: 0.2%,0.7%),and 0.7%(95% CI: 0.3%,1.1%)at lag 0,respectively;For CHD,the RRs increased by 3.6%(95% CI: 1.8%,5.5%),2.6%(95% CI: 1.9%,3.4%),0.4%(95% CI: 0.1%,0.7%),and 0.5%(95% CI: 0.1%,0.9%)at lag 0,respectively;For HD,the RRs increased by 3.6%(95%CI: 1.4%,5.8%),2.1%(95%CI: 1.4%,2.7%),0.3%(95%CI: 0.1%,0.6%),and 0.4%(95%CI: 0,0.8%)at lag 0,respectively.Seasonal analysis showed that the effects of SO2,NO2,PM10 and PM2.5 were stronger in the cold season than in the warm season.SO2 and NO2 may be potential confounders in the dual-pollutant model.The results of the stratified analysis found that women were more vulnerable to air pollutants.Conclusions Air pollutants including SO2,NO2,PM10,and PM2.5 may be associated with the risk of hypertension,CHD,and HD.Our findings not only can be used as reference for studying the financing and the allocation of medical resources in the future,but also served as a piece of evidence that supports the policymaking on air pollution and CVDs.
Keywords/Search Tags:Air pollution, Cardiovascular diseases, CVDs, Generalized additive model, GAM, Time-series
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