Establish an air quality health index based on the outpatient volume of respiratory diseases

Abstract

Abstract: Objective To explore the construction of air quality health index（AQHI） for respiratory diseases in Jinshan District of Shanghai City. Methods Daily outpatient visits for respiratory diseases,data of air pollutants[fine particulate matter（PM_2.5）,inhalable particles（PM₁₀）,SO₂,NO₂,O₃],and meteorological data（air pressure,temperatureand relative humidity） were collected from two comprehensive hospitals in Jinshan District of Shanghai City from 2017 to 2022. The AQHI based on respiratory diseases was calculated using a generalized additive model. Results The four pollutants had different impacts on the number of daily outpatient visits：PM_2.5,NO₂,SO₂ and O₃ had the greatest impact on the number of daily outpatient visits when the lag time was 3,3,9 and 0 days,respectively.For every 10 μg/m³ increase in PM_2.5,NO₂,SO₂ and O₃ concentrations,the excess risk（ER） was 1.07%（95%CI：0.61%-1.55%）,1.89%（95%CI：0.95%-2.84%）,16.14%（95%CI：11.30%-21.19%）,and 0.76%（95%CI：0.43%-1.09%）.According to the results of single and double pollutants,PM_2.5,NO₂,SO₂ and O₃ were selected to establish AQHI. From 2017 to 2022,AQHI showed a "right skewed distribution",with 98.95% days with AQHI<6,and 40.76% days with AQHI of 3 and 22.82% days with AQHI of 4. Conclusion Air pollutants in Jinshan District of Shanghai City have an effect on the number of outpatient visits for respiratory diseases. AQHI can well reflect the health risk of air pollution exposure to respiratory system.

Key words: Air quality health index, Air pollution, Daily outpatient visits for respiratory diseases

CLC Number:

R181.3⁺4

XU Yandan, ZHANG Jingwei, LI Wei, ZHU Jianming, XU Mingjia. Establish an air quality health index based on the outpatient volume of respiratory diseases. [J]OCCUPATION AND HEALTH, 2024, 40(22): 3114-3117.

References

[1] 蒋泽熹. 上海市环境空气质量变化及其AQI模型[D].上海:上海师范大学,2023.
[2] 季鹏,沈先标,袁震,等.2015—2019年上海市某区大气污染物与呼吸内科门诊的时间序列分析[J].上海预防医学,2023,35(10):970-975.
[3] 张莉君,许慧慧,朱凤鸣,等.上海市儿童呼吸系统疾病空气质量健康指数的建立[J].环境与职业医学,2022,39(7):730-736.
[4] 陆雯雯,王兴甜,孟华,等.大气污染对呼吸系统疾病日门诊量的时间序列分析[J].宁夏医科大学学报,2023,45(3):309-314.
[5] 王熙蓓,周哲华,吴益康,等.我国大气PM_2.5与呼吸系统疾病门诊量关系的meta分析[J].中国医院统计,2022,29(6):472-480.
[6] 朱小红,刘强,周晓龙,等.2017—2019年苏州市空气主要污染物浓度对医院门诊数影响的时间序列分析[J].职业与健康,2021,37(9):1241-1246.
[7] 蒋先雁,印悦,陈剑宇,等.2014—2020年成都市大气污染物与呼吸系统疾病门诊量的时间序列研究[J].江苏预防医学,2022,33(1):12-16.
[8] 徐兴兴,高红梅,赵锦江.上海市青浦区大气污染物与某医院儿童呼吸系统疾病日就诊量的时间序列研究[J].职业与健康,2021,37(12):1670-1674.
[9] 周璐,阚海东,陈仁杰.大气SO₂暴露与医院每日急诊和门诊人次关系的多中心时间序列研究[J].中华疾病控制杂志,2021,25(10):1159-1163.
[10] 杨似玉,彭靖,闫晓娜,等.安阳市空气质量健康指数构建及分析—基于空气污染与呼吸系统疾病间暴露-反应关系[J].现代预防医学,2022,49(18):3299-3304.
[11] 陈琦,孙宏,汪庆庆,等.江苏省六城市空气质量健康指数效果验证[J].环境卫生学杂志,2022,12(8):551-560.
[12] 曲玥,曾芳婷,陈凤格,等.石家庄市儿童呼吸系统疾病空气质量健康指数的构建[J].环境卫生学杂志,2023,13(1):37-44.
[13] 陈仁杰,陈秉衡,阚海东.我国空气质量健康指数的初步研究[J].中国环境科学,2013,33(11):2081-2086.
[14] 乔明利,顾天毅,王砚,等.兰州市呼吸系统疾病空气质量健康指数构建[J].环境与健康杂志,2018,35(2):99-103.
[15] 倪洋,张继勉,白羽,等.基于大气污染累积健康风险的天津市空气质量健康指数研究[J].环境与职业医学,2022,39(11):1242-1248.