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与寒冷和炎热相关的死亡率。我们能从奶牛身上学到什么?

Mortality related to cold and heat. What do we learn from dairy cattle?

作者信息

Cox Bianca, Gasparrini Antonio, Catry Boudewijn, Delcloo Andy, Bijnens Esmée, Vangronsveld Jaco, Nawrot Tim S

机构信息

Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.

Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine (LSHTM), London, UK; Department of Medical Statistics, LSHTM, London, UK.

出版信息

Environ Res. 2016 Aug;149:231-238. doi: 10.1016/j.envres.2016.05.018. Epub 2016 May 26.

DOI:10.1016/j.envres.2016.05.018
PMID:27236362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5015708/
Abstract

Extreme temperatures are associated with increased mortality among humans. Because similar epidemiologic studies in animals may add to the existing evidence, we investigated the association between ambient temperature and the risk of mortality among dairy cattle. We used data on 87,108 dairy cow deaths in Belgium from 2006 to 2009, and we combined a case-crossover design with distributed lag non-linear models. Province-specific results were combined in a multivariate meta-analysis. Relative to the estimated minimum mortality temperature of 15.4°C (75th percentile), the pooled cumulative relative risks over lag 0-25 days were 1.26 (95% CI: 1.11, 1.42) for extreme cold (1st percentile, -3.5°C), 1.35 (95% CI: 1.19, 1.54) for moderate cold (5th percentile, -0.3°C), 1.09 (95% CI: 1.02, 1.17) for moderate heat (95th percentile, 19.7°C), and 1.26 (95% CI: 1.08; 1.48) for extreme heat (99th percentile, 22.6°C). The temporal pattern of the temperature-mortality association was similar to that observed in humans, i.e. acute effects of heat and delayed and prolonged effects of cold. Seasonal analyses suggested that most of the temperature-related mortality, including cold effects, occurred in the warm season. Our study reinforces the evidence on the plausibility of causal effects in humans.

摘要

极端温度与人类死亡率增加有关。由于在动物中进行类似的流行病学研究可能会增加现有证据,我们调查了环境温度与奶牛死亡率风险之间的关联。我们使用了2006年至2009年比利时87108头奶牛死亡的数据,并将病例交叉设计与分布滞后非线性模型相结合。特定省份的结果在多变量荟萃分析中进行了合并。相对于估计的最低死亡率温度15.4°C(第75百分位数),在0至25天的滞后期间,极端寒冷(第1百分位数,-3.5°C)的合并累积相对风险为1.26(95%置信区间:1.11, 1.42),中度寒冷(第5百分位数,-0.3°C)为1.35(95%置信区间:1.19, 1.54),中度炎热(第95百分位数,19.7°C)为1.09(95%置信区间:1.02, 1.17),极端炎热(第99百分位数,22.6°C)为1.26(95%置信区间:1.08;1.48)。温度与死亡率关联的时间模式与在人类中观察到的相似,即炎热的急性效应和寒冷的延迟及长期效应。季节性分析表明,大多数与温度相关的死亡率,包括寒冷效应,发生在温暖季节。我们的研究强化了关于人类因果效应合理性的证据。

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