ABSTRACT
ObjectiveTo explore the association between air pollutants and hospital outpatient visits in a district of Shanghai. MethodsDaily meteorological data， environmental data， data of outpatient visits to two secondary hospitals and two tertiary hospitals in this district from January 1， 2015 to December 31， 2019 were collected. A Poisson regression generalized linear model was used to analyze the exposure-response relationship between the air pollutants and hospital outpatient visits in this area. ResultsDuring the study period， the total number of outpatient visits in the included hospitals was 17 802 634， with an average daily total of （9 750±4 191） outpatient visits，and an average daily of （761±341） respiratory outpatient visits. In the lag effect of single pollutant model， when the concentration of air pollutant increased by 10 μg·m-3， PM2.5， SO2， NO2 had the maximum lag effect on the number of outpatient visits in the department of internal medicine for respiratory diseases on lag day 4， day 5 and day 7， respectively. And the RR values and 95%CI were 1.002 0（1.001 3‒1.002 6）， 1.0154（1.012 3‒1.018 5）， and 1.006 1（1.005 3‒1.006 9）， respectively. ConclusionThere is a exposure-response relationship between air pollutants and the number of outpatient visits in each department of the hospitals， and different pollutants have different degrees of lag effects.
ABSTRACT
ObjectiveTo compare the incidence of respiratory and allergic diseases in children in Xuhui District， Shanghai in 2013 and 2020， and to determine the influencing factors. MethodsAnnual average levels of air pollutants including PM2.5， PM10， O3， SO2， and NO2 were collected and described in Shanghai from 2013 to 2020. A cross-sectional survey was conducted by using a questionnaire among grade 3 to 5 students in a school in Xuhui District， Shanghai， in September 2013 and 2020， respectively. The questionnaire collected variables including living environment， daily habits， family history of respiratory and allergic diseases， and incidence of these diseases in children. Chi-square test was used to determine the difference across respiratory and allergic diseases. Logistic regression was conducted to determine the influencing factors. ResultsA total of 1 398 valid questionnaires were collected （705 in 2013 and 693 in 2020）. Compared with 2013， annual average concentrations of PM2.5， PM10， O3， SO2， and NO2 in 2020 significantly decreased. The prevalence of bronchial asthma， bronchitis， persistent cough and persistent expectoration in 2013 were significantly higher than those in 2020 （P<0.05） in Xuhui District. Multivariate analysis showed that severe air pollution， boys， parents with asthma or allergy， parents with higher educational levels， and more allergens in household were the risk factors associated with the incidence of bronchial asthma， bronchitis， allergic rhinitis and atopic eczema （P<0.05）. Parents with allergy history， high smoking frequency of family member， and more allergens in household were the risk factors associated with the incidence of persistent cough and persistent expectoration （P<0.05）. ConclusionTo 2013，2020 air pollution in Shanghai has been mitigated and prevalence of bronchial asthma and bronchitis of children has decreased. Childhood respiratory and allergic diseases are associated with indoor and outdoor environment， family medical history， and family daily habits.
ABSTRACT
Background Air quality health index (AQHI) has been widely used to quantify the health effects of multiple pollutants observed in population-based epidemiological studies, and can better reflect the widespread linear non-threshold between air pollution and health effects. Objective To explore an AQHI for pediatric respiratory diseases (AQHIr) in Shanghai and evaluate its feasibility. Methods The daily numbers of hospital outpatient visits for pediatric respiratory diseases from 2015 to 2019 were obtained from five general hospitals in Xuhui, Baoshan, Hongkou, Jinshan, and Chongming Districts of Shanghai. Monitoring data on air pollutants (PM2.5, PM10, SO2, NO2, and O3), air quality index (AQI), and meteorological variables (temperature, relative humidity, air pressure, and wind speed) were collected from five air quality monitoring sites nearest to selected hospitals. Time-series analysis using generalized additive model (GAM) was conducted to estimate the associations between respiratory-related pediatric outpatient visits and the concentrations of air pollutants. The sum of excess risk (ER) of hospital outpatient visits was used to construct AQHIr. To assess the predictive power of AQHIr, the associations of AQHIr and AQI with the number of pediatric respiratory outpatient visits in three hospitals in Xuhui, Hongkou, and Chongming districts were compared. Results Air pollutants had various effects on respiratory diseases outpatient visits. PM2.5, NO2, and O3 had most significant impacts on lag0 day and the associated ERs of hospital outpatient visits for each 10 μg·m−3 increase in pollutant concentration were 1.27% (95%CI: 0.88%-1.66%), 0.75% (95%CI: 0.40%-1.11%), and 0.36% (95%CI: 0.10%-0.62%), respectively. PM10 and SO2 had most significant impacts on lag3 day and the associated ERs of hospital outpatient visits for each 10 μg·m−3 increase in pollutant concentration were 0.81% (95%CI: 0.51%-1.12%) and 5.64% (95%CI: 3.37%-7.96%), respectively. There were significant effects of combinations of two pollutants among PM2.5, PM10, NO2, SO2, and O3 except for PM10+NO2, SO2+PM2.5, and SO2+NO2 (P<0.05). According to the results of single-pollutant and two-pollutant models, PM2.5, NO2, SO2, and O3 were selected to construct AQHIr. The comparison showed that for every interquartile range increase in AQHIr, the ER for pediatric outpatient visits was higher than that for the value corresponding to AQI. Conclusion Air pollutants in Shanghai have an impact on the number of pediatric respiratory outpatient visits. The AQHIr based on and outpatient visits for pediatric respiratory diseases can be a sensitive index to predict the effects of air pollution on children's respiratory health.