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DOI10.1289/EHP3556
Evidence for Urban-Rural Disparity in Temperature-Mortality Relationships in Zhejiang Province, China
Hu, Kejia1,2; Guo, Yunting2; Hoehrainer-Stigler, Stefan3; Liu, Wei3; See, Linda3; Yang, Xuchao1,4; Zhong, Jieming5; Fei, Fangrong5; Chen, Feng6; Zhang, Yunquan7,8; Zhao, Qi2; Chen, Gongbo9; Chen, Qian1; Zhang, Yizhe10; Ye, Tingting1; Ma, Lu7; Li, Shanshan2; Qi, Jiaguo4
发表日期2019
ISSN0091-6765
EISSN1552-9924
卷号127期号:3
英文摘要

BACKGROUND: Temperature-related mortality risks have mostly been studied in urban areas, with limited evidence for urban-rural differences in the temperature impacts on health outcomes.


OBJECTIVES: We investigated whether temperature-mortality relationships vary between urban and rural counties in China.


METHODS: We collected daily data on 1 km gridded temperature and mortality in 89 counties of Zhejiang Province, China, for 2009 and 2015. We first performed a two-stage analysis to estimate the temperature effects on mortality in urban and rural counties. Second, we performed meta regression to investigate the modifying effect of the urbanization level. Stratified analyses were performed by all-cause, nonaccidental (stratified by age and sex), cardiopulmonary, cardiovascular, and respiratory mortality. We also calculated the fraction of mortality and number of deaths attributable to nonoptimum temperatures associated with both cold and heat components. The potential sources of the urban-rural differences were explored using meta-regression with county-level characteristics.


RESULTS: Increased mortality risks were associated with low and high temperatures in both rural and urban areas, but rural counties had higher relative risks (RRs), attributable fractions of mortality, and attributable death counts than urban counties. The urban-rural disparity was apparent for cold (first percentile relative to minimum mortality temperature), with an RR of 1.47 [95% confidence interval (CI): 1.32, 1.62] associated with all-cause mortality for urban counties, and 1.98 (95% CI: 1.87, 2.10) for rural counties. Among the potential sources of the urban-rural disparity are age structure, education, GDP, health care services, air conditioners, and occupation types.


CONCLUSIONS: Rural residents are more sensitive to both cold and hot temperatures than urban residents in Zhejiang Province, China, particularly the elderly. The findings suggest past studies using exposure-response functions derived from urban areas may underestimate the mortality burden for the population as a whole. The public health agencies aimed at controlling temperature-related mortality should develop area-specific strategies, such as to reduce the urban-rural gaps in access to health care and awareness of risk prevention. Future projections on climate health impacts should consider the urban-rural disparity in mortality risks.


WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Toxicology
来源期刊ENVIRONMENTAL HEALTH PERSPECTIVES
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/94428
作者单位1.Zhejiang Univ, Ocean Coll, Inst Isl & Coastal Ecosyst, Zhoushan Campus,Haike Bldg 357,1 Zheda Rd, Zhoushan 316021, Peoples R China;
2.Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic, Australia;
3.Intt Inst Appl Syst Anal, Laxenburg, Austria;
4.Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48824 USA;
5.Zhejiang Prov Ctr Dis Control & Prevent, 3399 Binsheng Rd, Hangzhou 310051, Zhejiang, Peoples R China;
6.Zhejiang Inst Meteorol Sci, Hangzhou, Zhejiang, Peoples R China;
7.Wuhan Univ, Sch Hlth Sci, Dept Prevent Med, Wuhan, Hubei, Peoples R China;
8.Wuhan Univ Sci & Technol, Sch Publ Hlth, Hubei Prov Key Lab Occupat Hazard Identificat & C, Wuhan, Hubei, Peoples R China;
9.Wuhan Univ, Sch Hlth Sci, Dept Global Hlth, Wuhan, Hubei, Peoples R China;
10.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Hu, Kejia,Guo, Yunting,Hoehrainer-Stigler, Stefan,et al. Evidence for Urban-Rural Disparity in Temperature-Mortality Relationships in Zhejiang Province, China[J],2019,127(3).
APA Hu, Kejia.,Guo, Yunting.,Hoehrainer-Stigler, Stefan.,Liu, Wei.,See, Linda.,...&Qi, Jiaguo.(2019).Evidence for Urban-Rural Disparity in Temperature-Mortality Relationships in Zhejiang Province, China.ENVIRONMENTAL HEALTH PERSPECTIVES,127(3).
MLA Hu, Kejia,et al."Evidence for Urban-Rural Disparity in Temperature-Mortality Relationships in Zhejiang Province, China".ENVIRONMENTAL HEALTH PERSPECTIVES 127.3(2019).
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