globalchange  > 气候减缓与适应
DOI: 10.1007/s11356-018-3653-z
WOS记录号: WOS:000454939400063
论文题名:
Socio-geographic disparity in cardiorespiratory mortality burden attributable to ambient temperature in the United States
作者: Zhang, Yunquan1; Xiang, Qianqian2,3; Yu, Yong4; Zhan, Zhiying5; Hu, Kejia6,7; Ding, Zan8
通讯作者: Zhang, Yunquan ; Ding, Zan
刊名: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN: 0944-1344
EISSN: 1614-7499
出版年: 2019
卷: 26, 期:1, 页码:694-705
语种: 英语
英文关键词: Climate change ; Temperature ; Cardiorespiratory mortality ; Attributable fraction ; United States
WOS关键词: COMPARATIVE RISK-ASSESSMENT ; PARTICULATE AIR-POLLUTION ; HEAT-RELATED MORTALITY ; SYSTEMATIC ANALYSIS ; GLOBAL BURDEN ; CHINESE CITIES ; CLIMATE-CHANGE ; LIFE LOST ; DISEASE ; VULNERABILITY
WOS学科分类: Environmental Sciences
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

Compared with relative risk, attributable fraction (AF) is more informative when assessing the mortality burden due to some environmental exposures (e.g., ambient temperature). Up to date, however, available AF-based evidence linking temperature with mortality has been very sparse regionally and nationally, even for the leading mortality types such as cardiorespiratory deaths. This study aimed to quantify national and regional burden of cardiorespiratory mortality (CRM) attributable to ambient temperature in the USA, and to explore potential socioeconomic and demographic sources of spatial heterogeneity between communities. Daily CRM and weather data during 1987-2000 for 106 urban communities across the mainland of USA were acquired from the publicly available National Morbidity, Mortality and Air Pollution Study (NMMAPS). We did the data analysis using a three-stage analytic approach. We first applied quasi-Poisson regression incorporated with distributed lag nonlinear model to estimate community-specific temperature-CRM associations, then pooled these associations at the regional and national level through a multivariate meta-analysis, and finally estimated the temperature-AF of CRM and performed subgroup analyses stratified by community-level characteristics. Both low and high temperatures increased short-term CRM risk, while temperature-CRM associations varied by regions. Nationally, the fraction of cardiorespiratory deaths caused by the total non-optimum, low, and high temperatures was 7.58% (95% empirical confidence interval, 6.68-8.31%), 7.15% (6.31-7.85%), and 0.43% (0.37-0.46%), respectively. Greater temperature-AF was identified in two northern regions (i.e., Industrial Midwest and North East) and communities with lower temperature and longitude, higher latitude, and moderate humidity. Additionally, higher vulnerability appeared in locations with higher urbanization level, more aging population, less White race, and lower socioeconomic status. Ambient temperature may be responsible for a large fraction of cardiorespiratory deaths. Also, temperature-AF of CRM varied considerably by geographical and climatological factors, as well as community-level disparity in socioeconomic status.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125892
Appears in Collections:气候减缓与适应

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作者单位: 1.Wuhan Univ, Sch Hlth Sci, Dept Prevent Med, 185 Donghu Rd, Wuhan 430071, Hubei, Peoples R China
2.Hubei Prov Ctr Dis Control & Prevent, Wuhan 430079, Hubei, Peoples R China
3.Hubei Prov Inst Food Supvis & Test, Wuhan 430075, Hubei, Peoples R China
4.Hubei Univ Med, Sch Publ Hlth & Management, Shiyan 442000, Peoples R China
5.Southern Med Univ, Sch Publ Hlth & Trop Med, Dept Biostat, Guangzhou 510515, Guangdong, Peoples R China
6.Zhejiang Univ, Inst Isl & Coastal Ecosyst, Ocean Coll, Zhoushan 316021, Peoples R China
7.Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia
8.Baoan Cent Hosp Shenzhen, Inst Metab Dis, Shenzhen 518102, Peoples R China

Recommended Citation:
Zhang, Yunquan,Xiang, Qianqian,Yu, Yong,et al. Socio-geographic disparity in cardiorespiratory mortality burden attributable to ambient temperature in the United States[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2019-01-01,26(1):694-705
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