Effects of air pollutants on outpatient and emergency number of respiratory diseases in Yanqing District of Beijing

ZHANG Zhen-quan; WANG Shao-hua; WU Zhi-le; GUO Xiu-hua

doi:10.16462/j.cnki.zhjbkz.2019.07.016

Volume 23 Issue 7

Jul. 2019

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ZHANG Zhen-quan, WANG Shao-hua, WU Zhi-le, GUO Xiu-hua. Effects of air pollutants on outpatient and emergency number of respiratory diseases in Yanqing District of Beijing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(7): 822-827, 834. doi: 10.16462/j.cnki.zhjbkz.2019.07.016

Citation:

ZHANG Zhen-quan, WANG Shao-hua, WU Zhi-le, GUO Xiu-hua. Effects of air pollutants on outpatient and emergency number of respiratory diseases in Yanqing District of Beijing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(7): 822-827, 834. doi: 10.16462/j.cnki.zhjbkz.2019.07.016

Citation:

ZHANG Zhen-quan, WANG Shao-hua, WU Zhi-le, GUO Xiu-hua. Effects of air pollutants on outpatient and emergency number of respiratory diseases in Yanqing District of Beijing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(7): 822-827, 834. doi: 10.16462/j.cnki.zhjbkz.2019.07.016

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Effects of air pollutants on outpatient and emergency number of respiratory diseases in Yanqing District of Beijing

doi: 10.16462/j.cnki.zhjbkz.2019.07.016

1.
School of Public Health in Capital Medical University, Beijing Key Laboratory of Clinical Epidemiology, Beijing 100069, China
2.
Infectious and Endemic Disease Control Section of Yanqing District, Beijing 102100, China

More Information

Corresponding author: GUO Xiu-hua, E-mail: guoxiuh@ccmu.edu.cn
Received Date: 2019-01-08
Rev Recd Date: 2019-04-08
Publish Date: 2019-07-10

Abstract

Abstract

Objective To explore the association between air pollutants and the number of outpatient and emergency visits for respiratory diseases in Yanqing District, Beijing. Methods Data from 2014-2017 of the number of outpatient and emergency visits for respiratory diseases was collected from secondary medical institutions in Yanqing District of Beijing, and data of meteorological monitoring and atmospheric pollution were also collected. On the basis of controlling confounding factor, a generalized additive model was used to analyze the relationship between air pollutant concentration and the number of outpatient and emergency visits for respiratory diseases, and lag effect. Results The results showed that, Particulate Matter 2.5 (PM_2.5) increased by 10 μg/m³, the number of respiratory outpatient and emergency visits would increase 0.11% (95% CI: 0.09-0.14, P=0.001); Particulate Matter 10 (PM10) increased by 10 μg/m³, the number of respiratory outpatient and emergency visits would increase 0.17% (95% CI: 0.15-0.19, P=0.001); Nitrogen dioxide(NO₂) increased by 10 μg/m³, the number of respiratory outpatient and emergency visits would increase 0.44% (95% CI: 0.37-0.50, P=0.001); carbon monoxide (CO) increased by 10 μg/m³, the number of respiratory outpatient and emergency visits would increase 3.34% (95% CI: 1.57-5.15, P=0.001), and the most effective period was on the Zeroth day. The number of respiratory outpatient and emergency visits would increase -1.69%(95% CI: -1.80--1.57, P=0.001) with sulfur ioxide (SO₂) increased 10 μg/m3, and the most effective period was on the 1th day. The number of respiratory outpatient and emergency visits would increase -0.12% (95% CI: -0.15--0.10, P=0.001) with O₃ increased 10 μg/m³, and the most effective period was on the 5th day. In the analysis of double pollutant model, under the influence of SO₂, CO had a significant effect on the number of outpatient and emergency visits with respiratory diseases. Conclusion The results of this study suggest that in Yanqing District, increasing concentrations of PM_2.5, PM₁₀, NO₂ and CO will cause an increase in the number of outpatient and emergency visits for respiratory diseases, and there are interactions between different pollutants.
- Air pollution,
- Time series,
- Generalized additive model,
- Respiratory diseases

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References(25)

References

[1]	曹艳芳. 北京地区1~3月PM_2.5、PM₁₀、NO₂、SO₂地面浓度分布特征分析[J]. 环境与可持续发展, 2015, 40(5): 169-171. DOI: 10.3969/j.issn.1673-288X.2015.05.049. Cao YF. Analysis on ground concentration distribution characteristics of PM_2.5, PM₁₀, NO₂ and SO₂ from January to March in Beijing[J]. Environment and Sustainable Development, 2015, 40(5): 169-171. DOI: 10.3969/j.issn.1673-288X.2015.05.049.
[2]	Jacobson LSV, Hacon SS, Castro HA, et al. Association between fine particulate matter and the peak expiratory flow of schoolchildren in the Brazilian subequatorial Amazon: a panel study[J]. Environ Res, 2012, 117: 27-35. DOI: 10.1016/j.envres.2012.05.006.
[3]	Darrow LA, Klein M, Flanders WD, et al. Air pollution and acute respiratory infections among children 0-4 years of age: an 18-year time-series study[J]. Am J Epidemiol, 2014, 180(10): 968-977. DOI: 10.1093/aje/kwu234.
[4]	Arbex MA, Pereira LAA, Carvalhooliveira R, et al. The effect of air pollution on pneumonia-related emergency department visits in a region of extensive sugar cane plantations: a 30-month time-series study[J]. J Epidemiol Commun Health, 2014, 68(7): 669-674. DOI: 10.1136/jech-2013-203709.
[5]	Greenberg N, Carel RS, Derazne E, et al. Different effects of long-term exposures to SO₂ and NO₂ air pollutants on asthma severity in young adults[J]. J Toxicol Environ Health, 2016, 79(8): 1-10. DOI: 10.1080/15287394.2016.1153548.
[6]	Carmo CN, Hacon S, Longo KM, et al. Association between particulate matter from biomass burning and respiratory diseases in the southern region of the Brazilian Amazon[J]. Revista Panamericana De Salud Pública, 2010, 27(1): 10-16. DOI: 10.1590/S1020-49892010000100002.
[7]	Ignotti E, Hacon SS, Junger WL, et al. Air pollution and hospital admissions for respiratory diseases in the subequatorial amazon: a time series approach[J]. Cad Saude Publica, 2010, 26(4): 747-761. doi: 10.1590/S0102-311X2010000400017
[8]	赵凤敏, 吴一峰, 吴峰. 大气污染物浓度与上呼吸道疾病门诊就诊的关联性研究[J]. 浙江预防医学, 2016, 28(2): 165-170. DOI: 10.19485/j.cnki.issn1007-0931.2016.02.018. Zhao FM, Wu YF, Wu F. Study on the relationship between air pollutant concentration and outpatient treatment for upper respiratory disease[J]. Zhejiang Prev Med, 2016, 28(2): 165-170. DOI: 10.19485/j.cnki.issn1007-0931.2016.02.018.
[9]	李玉荣, 肖长春, 林浩飞, 等. 合肥市大气污染与肺炎门诊量的时间序列研究[J]. 环境与健康杂志, 2016, 33(11): 960-963. DOI: 10.16241/j.cnki.1001-5914.2016.11.006. Li YR, Xiao CC, Lin HF, et al. Association between air pollution and daily outpatient visits for pneumonia in Hefei City: a time-series analysis[J]. J Environ Health, 2016, 33(11): 960-963. DOI: 10.16241/j.cnki.1001-5914.2016.11.006.
[10]	张江华, 郭常义, 许慧慧, 等. 上海市大气污染与某医院呼吸系统疾病门诊量关系的时间序列研究[J]. 环境与职业医学, 2014, 31(11): 846-851. DOI: 10.13213/j.cnki.jeom.2014.0205. Zhang JH, Guo CY, Xu HH, et al. Time-series analysis on association between air pollution and outpatient visits for respiratory diseases in a hospital in Shanghai[J]. J Environ Occup Med, 2014, 31(11): 846-851. DOI: 10.13213/j.cnki.jeom.2014.0205.
[11]	张莹, 宁贵财, 康延臻, 等. 北京市大气污染物与呼吸系统疾病入院人数的时间序列[J]. 兰州大学学报, 2015, 51(1): 87-92. DOI: 10.13885/j.issn.0455-2059.2015.01.013. Zhang Y, Ning GC, Kang YZ, et al. Time-series analysis of the association between outdoor air pollution and emergency room admissions for respiratory diseases in Beijing City[J]. Journal of Lanzhou University, 2015, 51(1): 87-92. DOI: 10.13885/j.issn.0455-2059.2015.01.013.
[12]	张莹, 邵毅, 王式功, 等. 北京市空气污染物对呼吸系统疾病门诊人数的影响[J]. 中国环境科学, 2014, 34(9): 2401-2407. DOI: 10.3969/j.issn.1000-6923.2014.09.043. Zhang Y, Shao Y, Wang SG, et al. Relationship between air pollutant and respiratory diseases hospital outpatient visits in Beijing[J]. China Environmental Science, 2014, 34(9): 2401-2407. DOI: 10.3969/j.issn.1000-6923.2014.09.043.
[13]	杨程, 杨兴堂, 沈先标. 上海市某区2013-2015年大气污染物与医院门诊量的时间序列研究[J]. 环境与职业医学, 2017, 34(3): 235-238, 244. DOI: 10.13213/j.cnki.jeom.2017.16489. Yang C, Yang XT, Shen XB. A time-series study on association between ambient air pollutants and hospital outpatients in a district of Shanghai[J]. J Environ Occup Med, 2017, 34(3): 235-238, 244. DOI: 10.13213/j.cnki.jeom.2017.16489.
[14]	鲍玉星, 晓开题-依不拉音, 吴文华, 等. 乌鲁木齐大气污染与呼吸系统疾病日住院人数的时间序列分析[J]. 新疆医科大学学报, 2013, (4): 537-541, 546. DOI: 10.3969/j.issn.1009-5551.2013.04.027. Bao YX, Xiao KT-YBLY, Wu WH, et al. Time-series analysis on relationship between air pollution and daily hospital for respiratory system diseases in Urumqi[J]. Journal of Xinjiang Medical University, 2013, 36(4): 537-541, 546. DOI: 10.3969/j.issn.1009-5551.2013.04.027.
[15]	马洪群, 崔莲花. 大气污染物(SO₂、NO₂)对中国居民健康效应影响的Meta分析[J]. 职业与健康, 2016, 32(8): 1038-1044. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYJK201608011.htm Ma HQ, Cui LH. Meta-analysis on health effects of air pollutants (SO₂ and NO₂) in the Chinese population[J]. Occup and Health, 2016, 32(8): 1038-1044. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYJK201608011.htm
[16]	钟梦婷, 石辉, 王会霞, 等. 暴露-反应关系的Meta分析与健康效应评价[J]. 环境科学与技术, 2017, 40(5): 171-178. DOI: 10.3969/j.issn.1003-6504.2017.05.029. Zhong MT, Shi H, Wang HX, et al. Meta-analysis of air pollutant exposure-response relationship and its application in health impact assessment of exposure to air pollutants in Xi'an[J]. Environmental Science & Technology, 2017, 40(5): 171-178. DOI: 10.3969/j.issn.1003-6504.2017.05.029.
[17]	张文增, 甄国新, 陈东妮, 等. 北京市顺义区大气污染物对呼吸系统疾病门诊量的影响[J]. 中国卫生统计, 2017, 34(2): 275-279. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGWT201702026.htm Zhang WZ, Zeng GX, Chen DN, et al. Effects of Atmospheric contaminants on the outpatients with respiratory diseases in Shunyi District of Beijing[J]. Chinese Journal of Health Statistics, 2017, 34(2): 275-279. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGWT201702026.htm
[18]	周慧霞, 谢俊卿, 刘晓君, 等. 北京市丰台区大气PM₁₀与呼吸系统疾病门诊量关系的研究[J]. 环境卫生学杂志, 2013, 3(6): 490-493. DOI: 10.13421/j.cnki.hjwsxzz.2013.06.022. Zhou HX, Xie JQ, Liu XJ, et al. Ambient PM₁₀ pollution and daily hospital visitors for respiratory diseases in Fengtai District of Beijing[J]. Journal of Environmental Hygiene, 2013, 3(6): 490-493. DOI: 10.13421/j.cnki.hjwsxzz.2013.06.022.
[19]	王晓莹, 焦仕林, 王旺成, 等. 2005-2012年武汉市大气污染对呼吸系统疾病日住院人数的影响[J]. 中国社会医学杂志, 2017, 34(3): 228-232. DOI: 10.3969/j.issn.1673-5625.2017.03.007. Wang XY, Jiao SL, Wang WC, et al. Effects of air pollution on the number of hospital persons with respiratory diseases in Wuhan City during 2005-2012[J]. Chinese Journal of Social Medicine, 2017, 34(3): 228-232. DOI: 10.3969/j.issn.1673-5625.2017.03.007.
[20]	李阳, 吴达胜, 周如意. 空气污染物浓度与呼吸系统疾病的关系研究[J]. 环境污染与防治, 2018, 40(5): 508-512, 517. DOI: 10.15985/j.cnki.1001-3865.2018.05.003. Li Y, Wu DS, Zhou RY. Study on the relationship between air contaminant concentration and respiratory disease[J]. Environmental Pollution & Control, 2018, 40(5): 508-512, 517. DOI: 10.15985/j.cnki.1001-3865.2018.05.003.
[21]	秦萌, 高阳, 顾品强, 等. 上海市奉贤区大气污染物对人群呼吸系统疾病的急性效应[J]. 环境与职业医学, 2018, 35(6): 521-525. DOI: 10.13213/j.cnki.jeom.2018.18127. Qin M, Gao Y, Gu PQ, et al. Acute effects of air pollutants on respiratory diseases in Fengxian District, Shanghai[J]. J Environ Occup Med, 2018, 35(6): 521-525. DOI: 10.13213/j.cnki.jeom.2018.18127.
[22]	Kim SY, Peel JL, Hannigan MP, et al. The temporal lag structure of short-term associations of fine particulate matter chemical constituents and cardiovascular and respiratory hospitalizations[J]. Environ Health Perspect, 2012, 120(8): 1094-1099. DOI: 10.1289/ehp.1104721.
[23]	Lai HK, Tsang H, Wong CM. Meta-analysis of adverse health effects due to air pollution in Chinese populations[J]. BMC Public Health, 2013, 13(1): 360-360. DOI: 10.1186/1471-2458-13-360.
[24]	张天宇, 薛骅骎, 朱若平, 等. 合肥市区不同区域大气污染时空演化特征及防污染对策[J]. 中华疾病控制杂志, 2016, 20(10): 1065-1068. DOI: 10.16462/j.cnki.zhjbkz.2016.10.025. Zhang TY, Xue HQ, Zhu RP, et al. The temporal-spatial evolution characteristics of air pollution and the strategies of air pollution prevention in different regions of Hefei, China[J]. Chin J Dis Control Prev, 2016, 20(10): 1065-1068. DOI: 10.16462/j.cnki.zhjbkz.2016.10.025.
[25]	陈浪, 赵川, 关茗洋, 等. 石家庄市大气颗粒污染物浓度与居民死亡率的时间序列分析[J]. 中华疾病控制杂志, 2018, 22(3): 272-277. DOI: 10.16462/j.cnki.zhjbkz.2018.03.014. Chen L, Zhao C, Guan MY, et al. Time-series analysis of the relationship between particulate matter and mortality in Shijiazhuang[J]. Chin J Dis Control Prev, 2018, 22(3): 272-277. DOI: 10.16462/j.cnki.zhjbkz.2018.03.014.