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首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Associations of Temperature Variation and Mortality in 47 Japanese Prefectures
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Associations of Temperature Variation and Mortality in 47 Japanese Prefectures

机译：日本47个县的温度变化和死亡率协会

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Background / Aim: Few studies have investigated the mortality effects of temperature variation (TV) in Japan. In this study, we employed the newly proposed indicators of inter- and intra-day TVs computed separately using daily mean temperatures above or below the minimum mortality temperature to assess the TV-mortality associations and their relative contribution in comparison to daily mean temperature across Japan. Methods: We collected daily data on temperature and mortality during 1972-2012 from 47 Japanese prefectures. We performed a quasi-Poisson regression analysis incorporating a distributed-lag non-linear model to estimate associations of daily mean temperature, inter- and intra-day TVs with mortality in each prefecture. Results: Most prefectures showed a significant increase in mortality risk associated with daily mean temperature, with relative risks (RRs) reaching 1.236 (95% confidence interval (CI): 1.163,1.313) for heat in Aomori, and 1.676 (95% CI: 1.313, 2.138) for cold in Wakayama. Inconsistent results for inter- / intra-day TVs wen found, except for some protective associations between intra-day TV and mortality in Kochi (RR 0.979; 95% CI: 0.965, 0.993) and Gifu (RR 0.988; 95% CI: 0.98, 0.996) on cold days. Conclusion: We found that the association between mortality and TV was generally small compared with daily mean temperature in Japan. Acknowledgement: this research was supported by the Environmental Research and Technology Development Fund (S-10 & S-14) of the Ministry of the Environment, Japan.
机译：背景/目的：在日本，很少有研究调查温度变化（TV）对死亡率的影响。在这项研究中，我们采用了新提议的日间和日间电视的指标，这些指标使用高于或低于最低死亡率的日平均温度分别计算得出，以评估电视死亡率关联及其与全日本日平均温度相比的相对贡献。方法：我们收集了来自日本47个县的1972-2012年间的温度和死亡率的每日数据。我们进行了准Poisson回归分析，结合了分布滞后非线性模型，以估计每个县的每日平均温度，日间和日间电视与死亡率的关联。结果：大多数州显示与每日平均温度相关的死亡风险显着增加，青森县发热量的相对风险（RRs）达到1.236（95％置信区间（CI）：1.163,1.313），而1.676（95％CI： 1.313，2.138）和歌山的寒冷。我们发现日间/日间电视的结果不一致，除了日间电视与高知（RR 0.979; 95％CI：0.965，0.993）和岐阜（RR 0.988; 95％CI：0.98）的死亡率之间的保护性关联外。 ，0.996）。结论：我们发现，与日本的日平均温度相比，死亡率和电视之间的关联通常很小。致谢：这项研究得到了日本环境省的环境研究与技术开发基金（S-10和S-14）的支持。

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