| Objective:By collecting the data of air pollutants and the information of hospital admissions,this study aimed to examine the association between PM2.5 and cardiorespiratory hospital admissions in Wuhan.We conducted stratification analyses by age,sex,and season to find out the susceptible population,in the hope to facilitate environmental health policies and early warning of air pollution.Methods:Daily hospital admission records,from October 2016 to December 2018,were obtained from the Wuhan Information center of Health and Family Planning,which administrates all hospitals in Wuhan.We also collected daily air pollution concentrations and weather variables in Wuhan during the study period.Land use regression model（LUR）was developed to assess individual PM2.5 exposure.Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5.We also conducted stratification analyses by age,sex,and season.We investigated the nonlinear concentration-response relationship between PM2.5 and hospital admissions,which describes the trend of population health under the dynamic change of pollutant concentration.Results:During the study period,the average annual concentrations of PM10,PM2.5,and NO2 in Wuhan were 80.9μg/m3,48.2μg/m3 and 43.3μg/m3,which exceeded the secondary standard limits of national air quality.Based on the LUR model simulation,the concentration of PM2.5 in Wuhan ranged from 41.59μg/m3 to 66.12μg/m3 during the study period.The spearman correlation coefficient showed that PM10,PM2.5,SO2,and NO2 were negatively correlated with relative humidity,while PM2.5 was positively correlated with other air pollutants.The results of the time stratified case crossover model found that the impact of PM2.5 decreases with the increase of the lag days,and the cumulative lagging risk estimate of PM2.5 was greater than that of a single day exposure.Each 10μg/m3 increase in PM2.5 at lag0-2 was associated with a 1.2%（95%CI:1.001-1.014）increment in daily hospital admissions for total cardiovascular and a 2.0%（95%CI:1.016-1.023）increment for total respiratory diseases.In age-specific analyses,stronger effects of PM2.5 on both cardiovascular and respiratory admission were observed in the elderly.For elderly people（age>74）,each 10μg/m3 increase in PM2.5at lag0-2 was associated with a 1.4%（95%CI:1.010-1.018）increment in daily hospital admissions for total cardiovascular and a 2.2%（95%CI:1.017-1.028）increment for total respiratory diseases.Conclusion:This study provides evidence regarding the short-term health impacts of PM2.5 exposure as well as identifies sensitive subpopulations in Wuhan.We find that the cumulative effect of short-term PM2.5 exposure are higher than that of single day.The risk estimates of different age groups vary from each other,while the elderly are still at higher risk for most diseases.Besides,the higher PM-induced risk during the cold season can not be ignored.These findings extend our knowledge related to the effects of higher levels of exposure and may help public agencies to develop strategies for air pollution control. |
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