Construction of air quality health index in Jinhua City based on air pollutants and years of life lost
HE Xiaoqing1, LUO Jinbin1, CHEN Qiang1, XU Dandan2
1. Department of Environmental and Occupational Health, Jinhua Center for Disease Control and Prevention, Jinhua, Zhejiang 321002, China; 2. Zhejiang Provincial Center for Disease Control and Prevention,Hangzhou, Zhejiang 310051, China
Abstract：Objective To construct air quality health index (AQHI) in Jinhua City, Zhejiang Province based on the exposure-response relationship between air pollutants and years of life lost (YLL), and evaluate the health risk associated with air quality. Methods Air pollutants and meteorological data in Jindong District and Wucheng District of Jinhua City from 2014 to 2021 were collected through Jinhua Environmental Monitoring Center and Jinhua Meteorological Bureau. Non-accidental death data of residents during the same period was collected through Zhejiang Chronic Disease Monitoring Information Management System. The exposure-response relationship between major air pollutants and YLL was analyzed using a generalized additive model (GAM), and major pollutants were screened for calculating AQHI. The exposure-response relationship between AQHI and YLL was analyzed using GAM. Results The results of single-pollutant model analysis showed that the lagged effect of PM2.5 on YLL was the largest at lag of 1 day, and the effect of SO2 on YLL was the largest on the same day. The results of dual-pollutant model analysis showed that the impact of PM2.5 on YLL was statistically significant when other pollutants were included at a lag of 1 day, and the impact of SO2 on YLL was statistically significant when NO2 was included on the same day (all P<0.05). The average daily mass concentration of O3 exceeded the standard by a relatively high rate of 42.27% from 2014 to 2021. Based on the analysis results of single-pollutant and two-pollutant models, excessive pollutant condition and relevant research findings, PM2.5, SO2, NO2 and O3 were selected as the major pollutants for calculating the AQHI. The median AQHI value of 1.40 (interquartile range, 1.13) from 2014 to 2021. According to the AQHI classification standard, 94.55% was the time was at low risk, and 4.93% of the time was at medium risk. With an increase in AQHI by one interquartile range, the YLL among the entire population, males, females, <65-year-old and ≥65-year-old populations would increase 6.21, 3.26, 6.46, 4.24 and 10.57 person-years, respectively. Conclusions The air quality health risk in Jinhua City was low at most of the time from 2014 to 2021. An increase in AQHI was associated with an increased risk of YLL among population.
何晓庆, 罗进斌, 陈强, 许丹丹. 基于大气污染物与寿命损失年的金华市空气质量健康指数构建研究[J]. 预防医学, 2024, 36(12): 1017-1021.
HE Xiaoqing, LUO Jinbin, CHEN Qiang, XU Dandan. Construction of air quality health index in Jinhua City based on air pollutants and years of life lost. Preventive Medicine, 2024, 36(12): 1017-1021.
[1] NI Y,SONG W,BAI Y,et al.Years of life lost(YLL)due to short-term exposure to ambient air pollution in China:a systematic review and meta-analysis[J].Int J Environ Res Public Health,2021,18(21):1-17. [2] 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):37-43. [3] 樊琳,倪洋,曾强,等.基于五类空气质量指数的天津市环境空气质量评价[J].环境与健康杂志,2018,35(9):803-808. [4] HU J L,YING Q,WANG Y G,et al.Characterizing multi-pollutant air pollution in China:comparison of three air quality indices[J].Environ Int,2015,84:17-25. [5] QIAO X,JAFFE D,TANG Y,et al.Evaluation of air quality in Chengdu,Sichuan Basin,China:are China's air quality standards sufficient yet? [J/OL].Environ Monit Assess,2015,187(5)[2024-10-25].https://pubmed.ncbi.nlm.nih.gov/25877648.DOI:10.1007/s10661-015-4500-z. [6] STIEB D M,BURNETT R T,SMITH DOIRON M,et al.A new multipollutant,no-threshold air quality health index based on short-term associations observed in daily time-series analyses[J].J Air Waste Manag Assoc,2008,58(3):435-450. [7] World Health Organization.WHO methods and data sources for global burden of disease estimates,2000-2016[EB/OL].[2024-10-25].https://terrance.who.int/mediacentre/data/ghe/GlobalCOD_method_2000_2016.pdf?ua=1. [8] 何晓庆,罗进斌,王小红,等.金华市大气污染物短期暴露对居民死亡和寿命损失年的影响[J].预防医学,2024,36(5):383-387. [9] LI X,XIAO J P,LIN H L,et al.The construction and validity analysis of AQHI based on mortality risk:a case study in Guangzhou,China[J].Environ Pollut,2017,220:487-494. [10] 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. [11] CAO R,WANG Y X,HUANG J,et al.The construction of the air quality health index(AQHI)and a validity comparison based on three different methods[J/OL].Environ Res,2021,197[2024-10-25].https://pubmed.ncbi.nlm.nih.gov/33689821.DOI:10.1016/j.envres.2021.110987. [12] 王文韬,孙庆华,覃健,等.中国5个城市2013—2015年空气质量健康指数模拟研究[J].中华流行病学杂志,2017,38(3):314-319. [13] 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. [14] 中华人民共和国环境保护部,国家质量监督检验检疫总局.环境空气质量标准:GB 3095—2012[M].北京:中国环境科学出版社,2012. [15] 李朝康,龚科米,吕烨,等.杭州市大气污染对居民死亡的影响研究[J].预防医学,2023,35(1):11-16. [16] 关新朋,徐洪兵,方嘉堃,等.大气NOX和NO2急性暴露与儿童呼吸系统疾病门诊量的关联研究[J].预防医学,2023,35(3):185-189. [17] 张丽,张晓飞,石国秀,等.宁波市O3与气象因素短期暴露对死亡人数的影响及交互作用[J].中华疾病预防控制杂志,2023,27(5):522-527. [18] 韦正峥,郭云,吕梅乐,等.浙江省丽水市空气质量的健康效应分析[J].中国环境科学,2020,40(8):3294-3302. [19] ANENBERG S C,HOROWITZ L W,TONG D Q,et al.An estimate of the global burden of anthropogenic ozone and fine particulate matter on premature human mortality using atmospheric modeling[J].Environ Health Perspect,2010,118(9):1189-1195. [20] LEPEULE J,CAINI F,BOTTAGISI S,et al.Maternal exposure to nitrogen dioxide during pregnancy and off spring birth weight:comparison of two exposure models[J].Environ Health Perspect,2010,118(10):1483-1489. [21] LIU C,CHEN R J,SERA F,et.al.Interactive effects of ambient fine particulate matter and ozone on daily mortality in 372 cities:two stage time series analysis[J/OL].BMJ,2023[2024-10-25].https://pubmed.ncbi.nlm.nih.gov/37793695.DOI:10.1136/bmj-2023-075203. [22] ZENG Q,FAN L,NI Y,et al.Construction of AQHI based on the exposure relationship between air pollution and YLL in Northern China[J/OL].Sci Total Environ,2020[2024-10-25].https://pubmed.ncbi.nlm.nih.gov/31923661.DOI:10.1016/j.scitotenv.2019.136264. [23] 康梦蕾,倪洋,曾强,等.基于老年人群循环系统疾病寿命损失年的天津市空气质量健康指数的初步构建[J].环境与健康杂志,2020,37(8):684-687. [24] 樊琳. 基于大气污染与寿命损失年暴露反应关系的空气质量健康指数的初步建立[D].天津:天津医科大学,2019.
