首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Comparative Assessment of Heat-and-Cold-Related Emergency Department Visits in China and Australia: Population Vulnerability and Attributable Burden
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Comparative Assessment of Heat-and-Cold-Related Emergency Department Visits in China and Australia: Population Vulnerability and Attributable Burden

机译:中国和澳大利亚热寒相关急诊部门访问的比较评估:人口脆弱性和归因负担

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Background: Non-optimal ambient temperatures have detrimental impacts on mortality worldwide, but little is known about the difference in population vulnerability to non-optimal temperatures and temperature-related morbidity burden between developing and developed countries. Objectives: We estimated and compared the associations of emergency department visits (EDV) with non-optimal temperatures in terms of risk trigger temperature, the average slope of exposure-risk function and attributable risk in 12 cities from China and Australia. Methods: We modelled the associations of EDV with heat during warm season and with cold during cold season, separately, using generalized additive model after controlling for temporal variations. Population vulnerability within a given region was quantified with multiple risk trigger points including minimum risk temperature, increasing risk temperature and excessive risk temperature, and average coefficient of exposure-risk function. Fraction of EDV attributable to heat and cold was also calculated. Results: We found large between- and within-country contrasts in the identified multiple risk trigger temperatures, with higher heat and cold trigger points observed in Australia than in China. Heat was associated with a relative risk (RR) of 1.009 [95% confidence interval (CI):1.007, 1.011] in China, which accounted for 5.9% (95% CI: 3.2%, 8.5%) of EDV. Higher RR of heat was observed in Australia (1.014, 95% CI: 1.010, 1.018), responsible for 4.0% (95% CI: 2.3%, 5.7%) of EDV. For cold effects, the RR was similar between two countries, but the attributable fraction was higher in China (9.6%, 95% CI: 6.1%, 12.9%) than in Australia (1.5%, 95% CI: 0.0%, 2.9%). Conclusions: Exposure to heat and cold had adverse but divergent impacts on EDV in China and Australia. Further mitigation policy efforts incorporating region-specific population vulnerability to temperature impacts are necessary in both countries.
机译:背景:非最佳环境温度对全球死亡率产生不利影响,但对发展中国家和发达国家之间的不良温度和温度相关的发病率负担较少的人口脆弱性差异很少。目的:我们估计并将急诊部门访问(EDV)与风险触发温度的非最优温度相比,暴露风险职能平均坡度和来自中国12个城市的占占风险的平均坡度。方法:在温暖的季节,在寒冷季节,在控制时间变化后,使用寒冷季节,在寒冷季节和寒冷的寒冷期间,使用寒冷,在寒冷季节进行了寒冷,在控制时间变异后,用寒冷模拟。给定区域内的人口脆弱性具有多种风险触发点的量化,包括最小风险温度,风险温度增加,风险温度过高,以及平均曝光风险函数系数。还计算了归因于热和寒冷的EDV的分数。结果:我们在澳大利亚观察到了鉴定的多风险触发温度中,我们在鉴定的多风险触发温度之间发现了大量的 - 国家对比,澳大利亚观察到较高的热和冷触发点。热量与中国的相对风险(RR)有关,在中国的相对风险(RR)[95%(CI):1.007,1111]占EDV的5.9%(95%CI:3.2%,8.5%)。在澳大利亚观察到较高的热量(1.014,95%CI:1.010,1.018),负责4.0%(95%CI:2.3%,5.7%)的EDV。对于寒冷的效果,两国之间的RR相似,但中国的可归因部分更高(9.6%,95%:6.1%,12.9%)比澳大利亚(1.5%,95%:0.0%,2.9% )。结论:暴露于热和寒冷,对中国和澳大利亚的EDV产生了不同的影响。在两国都需要进一步减缓将区域特异性人口脆弱性的努力纳入温度影响。

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