居民每日死亡例数与空气污染物日均浓度的关系

doi:10.19485/j.cnki.issn2096-5087.2021.03.004

Preventive Medicine

2021, Vol. 33

Issue (3): 231-235 DOI: 10.19485/j.cnki.issn2096-5087.2021.03.004

Original Articles

Current Issue | Archive | Adv Search

The relationship between air pollutants and mortality in Huairou District

CAO Yang^*, YANG Limei, KENG Bin, LIU Yu

^*Institute of Information and Statistics, Huairou Center for Disease Control and Prevention, Beijing 101400, China

Abstract
Figure/Table
References
Related Citation (3)

Download: PDF (1235 KB) HTML (0 KB)
Export: BibTeX | EndNote (RIS)

Abstract Objective To evaluate the relationship between air pollutants and mortality of residents in Huairou District, Beijing, providing a basis for the formulation of air pollution control measures. Methods The data of daily deaths, meteorological factors and air pollutants in Huairou District from 2014 to 2018 were collected from Beijing Disease Prevention Monitoring Information Integration and Analysis System, Huairou Meteorological Bureau and Environmental Monitoring Station. The generalized additive models were used to analyze the relationship between the average daily concentration of air pollutants and the daily deaths. Results The medians of daily average concentrations of SO₂, NO₂, CO, O₃, PM₁₀ and PM_2.5 were 5.00 μg/m³, 24.00 μg/m³, 0.71 mg/m³, 77.27 μg/m³, 64.25 μg/m³ and 44.13 μg/m³, respectively. Except for O₃, the daily average concentrations of SO₂, NO₂, CO, PM₁₀ and PM_2.5 showed decreasing trends from 2014 to 2018. An increase of 10 μg/m³ of NO₂ resulted in an elevation of 1.69% ( 95%CI: 0.31%-3.08% ) , 3.31% ( 95%CI: 1.24%-5.42% ) and 3.31% ( 95%CI: 0.51%-6.19% ) for non-accidental death in the whole population, females and people under 65 years old, respectively, with a delay of 2 days (lag2). For every 10 μg/m³ increase in the daily average concentrations of CO and PM_2.5, the risk of non-accidental death among people under 65 years old at lag2 increased by 0.08% ( 95%CI: 0.01%-0.14% ) and 0.88% ( 95%CI: 0.12%-1.64% ) , respectively. For every 10 μg/m³ increase in daily average concentration of O₃, there was 0.69% ( 95%CI: 0.02%-1.36% ) increase in daily male non-accidental death risk at lag4. The results of the multi-pollutant model showed that after adjusting the effects of the other two air pollutants, NO₂, CO and PM_2.5 had no statistically significant effects on the daily non-accidental deaths of people under 65 years old at lag2 ( P>0.05 ) . Conclusion The ambient NO₂, CO, O₃ and PM_2.5 pollution increase daily non-accidental deaths, which shows a lag effect．

Key words： air pollutants non-accidental death generalized additive model

Received: 15 September 2020 Revised: 01 December 2020 Published: 16 March 2021

ZTFLH:	R122
	R195

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	CAO Yang
	YANG Limei
	KENG Bin
	LIU Yu

Cite this article:

CAO Yang,YANG Limei,KENG Bin, et al. The relationship between air pollutants and mortality in Huairou District[J]. Preventive Medicine, 2021, 33(3): 231-235.

URL:

http://www.zjyfyxzz.com/EN/10.19485/j.cnki.issn2096-5087.2021.03.004 OR http://www.zjyfyxzz.com/EN/Y2021/V33/I3/231

[1] CAREY I M,ATKINSON R W,KENT A J,et al.Mortality associations with long-term exposure to outdoor air pollution in a national English cohort[J] . Am J Respir Crit Care Med,2013,187(11):1226-1233.
[2] BEELEN R,RAASCHOU-NIELSEN O,STAFOGGIA M,et al.Effects of long-term exposure to air pollution on natural-cause mortality:an analysis of 22 European cohorts within the multicentre ESCAPE project[J] . Lancet,2014,383(9919):785-795.
[3] 薛江丽,王旗,蔡玥,等. 北京市大气可吸入性颗粒物污染对居民死亡影响的时间序列分析[J] . 中华预防医学杂志,2012,46(5):447-451.
[4] 李静,王焕新,屈龙,等. 昌平区PM_2.5和气温对日门诊量的交互影响[J] . 预防医学,2019,31(6):593-596,599.
[5] 张云权,朱耀辉,李存禄,等. 广义相加模型在R软件中的实现[J] . 中国卫生统计,2015,32(6):1073-1075.
[6] 中华人民共和国环境保护部. 环境空气质量标准:GB 3095—2012[S] . 北京:中国标准出版社,2012.
[7] 何晓庆,王小红,罗进斌. 大气PM₁₀与呼吸系统疾病死亡的关系研究[J] . 预防医学,2019,31(10):987-991.
[8] 陈丽,汪曦,顾怡勤,等. 大气污染对上海市闵行区居民糖尿病死亡的急性影响[J] . 职业与健康,2019,35(5):656-659,665.
[9] 苏健婷,杜婧,王春梅,等. 大气污染物对北京市常住居民死亡影响的时间序列研究[J] . 环境与健康杂志,2018,35(5):421-424.
[10] 张亮,张秋平,谭爱军. 珠海市空气污染对人群死亡的影响[J] . 实用预防医学,2019,26(4):446-449.
[11] 胡星星. SO₂、NO₂污染及温度变化对合肥市区非意外死亡的影响及模型预测[D] . 合肥:安徽医科大学,2019.
[12] 谷亚亚,甄国新,谈敦芳,等. 北京市顺义区大气臭氧对居民每日死亡的影响[J] . 环境与健康杂志,2019,36(4):329-334.
[13] 张开月,金武,姚庆兵,等. 扬州市空气细颗粒物与居民死亡关系的时间序列分析[J] . 南通大学学报(医学版),2019,39(4):299-301.
[14] 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.
[15] 钱旭君,沈月平,贺天锋,等. 宁波市大气颗粒物与人群因心脑血管疾病死亡的时间序列研究[J] . 中华流行病学杂志,2016,37(6):841-845.
[16] DASTOORPOOR M,GOUDARZI G,KHANJANI N,et al.Lag time structure of cardiovascular deaths attributed to ambient air pollutants in Ahvaz,Iran,2008-2015[J] . Int J Occup Med Environ Health,2018,31(4):459-473.
[17] 褚圆圆. 武汉市大气污染与呼吸系统疾病死亡的关联研究[D] . 武汉:武汉大学,2017.
[18] 周海泓,张杨,雍宗锋,等. 基于广义相加模型分析可吸入颗粒物对人群呼吸系统的短期健康效应[J] . 江苏预防医学,2018,29(4):389-392.