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Urbanization Level and Vulnerability to Heat-Related Mortality in Jiangsu Province, China

机译:中国江苏省城市化水平及与热相关死亡率的脆弱性

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Background: Although adverse effects of high temperature on mortality have been studied extensively in urban areas, little is known of the heat–mortality associations outside of cities. Objective: We investigated whether heat–mortality associations differed between urban and nonurban areas and how urbanicity affected the vulnerability to heat-related mortality. Methods: We first analyzed heat-related mortality risk in each of 102 counties in Jiangsu Province, China, during 2009–2013 using a distributed-lag nonlinear model. The county-specific estimates were then pooled for more urban (percentage of urban population ≥ 57.11%) and less urban (percentage of urban population < 57.11%) counties using a Bayesian hierarchical model. To explain the spatial variation in associations by county, county-level characteristics affecting heat vulnerability were also examined. Results: We found that the overall mortality risk comparing the 99th vs. 75th percentiles of temperature was 1.43 [95% posterior intervals (PI): 1.36, 1.50] in less urban counties and 1.26 (95% PI: 1.23, 1.30) in more urban counties. The heat effects on cardiorespiratory mortality followed a similar pattern. Higher education level and prevalence of air conditioning were significantly associated with counties having lower risks, whereas percentage of elderly people was significantly associated with increased risks. Conclusion: Our findings reveal that nonurban areas have significant heat-related mortality risks in Jiangsu, China. These results suggest the need for enhanced adaptation planning in Chinese nonurban areas under a changing climate. Citation: Chen K, Zhou L, Chen X, Ma Z, Liu Y, Huang L, Bi J, Kinney PL. 2016. Urbanization level and vulnerability to heat-related mortality in Jiangsu Province, China. Environ Health Perspect 124:1863–1869;?http://dx.doi.org/10.1289/EHP204.
机译:背景:尽管在城市地区已经广泛研究了高温对死亡率的不利影响,但对于城市以外的热-死亡率关联还知之甚少。目的:我们调查了城市和非城市地区的热死亡率相关性是否不同,以及城市化程度如何影响与热相关的死亡率的脆弱性。方法:我们首先使用分布滞后非线性模型分析了2009-2013年江苏省102个县中每个县与热相关的死亡风险。然后,使用贝叶斯分级模型汇总了更多城市县(城市人口百分比≥57.11%)和更少城市县(城市人口百分比<57.11%)的县级估计。为了解释按县划分的协会的空间变化,还研究了影响热脆弱性的县级特征。结果:我们发现,比较温度在第99个百分位数与第75个百分位数之间的总死亡率风险,在较少城市县中为1.43 [95%后验间隔(PI):1.36,1.50],在其他城市县中为1.26(95%PI:1.23,1.30)。市区县。热量对心肺死亡率的影响也类似。受过高等教育的人和空调普及率与患病风险较低的县显着相关,而老年人百分比与患病风险增加的显着相关。结论:我们的发现表明,中国江苏省非城市地区存在与热相关的重大死亡风险。这些结果表明,在气候变化的情况下,需要在中国非城市地区加强适应计划。引用文献:陈K,周L,陈X,马Z,刘Y,黄L,毕J,金尼PL。 2016。中国江苏省城市化水平和对与热相关死亡率的脆弱性。 Environ Health Perspect 124:1863-1869; http://dx.doi.org/10.1289/EHP204。

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