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Mortality Related to Cold Temperatures in Two Capitals of the Baltics: Tallinn and Riga

机译:与波罗的海两首都首都塔林和里加寒冷温度相关的死亡率

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摘要

Background and objectives: Despite global warming, the climate in Northern Europe is generally cold, and the large number of deaths due to non-optimal temperatures is likely due to cold temperatures. The aim of the current study is to investigate the association between cold temperatures and all-cause mortality, as well as cause-specific mortality, in Tallinn and Riga in North-Eastern Europe. Materials and Methods: We used daily information on deaths from state death registries and minimum temperatures from November to March over the period 1997–2015 in Tallinn and 2009–2015 in Riga. The relationship between the daily minimum temperature and mortality was investigated using the Poisson regression, combined with a distributed lag non-linear model considering lag times of up to 21 days. Results: We found significantly higher all-cause mortality owing to cold temperatures both in Tallinn (Relative Risk (RR) = 1.28, 95% Confidence Interval (CI) 1.01–1.62) and in Riga (RR = 1.41, 95% CI 1.11–1.79). In addition, significantly increased mortality due to cold temperatures was observed in the 75+ age group (RR = 1.64, 95% CI 1.17–2.31) and in cardiovascular mortality (RR = 1.83, 95% CI 1.31–2.55) in Tallinn and in the under 75 age group in Riga (RR = 1.58, 95% CI 1.12–2.22). In this study, we found no statistically significant relationship between mortality due to respiratory or external causes and cold days. The cold-related attributable fraction (AF) was 7.4% (95% CI -3.7–17.5) in Tallinn and 8.3% (95% CI -0.5–16.3) in Riga. This indicates that a relatively large proportion of deaths in cold periods can be related to cold in North-Eastern Europe, where winters are relatively harsh.
机译:背景和目标:尽管全球变暖,但北欧的气候总体上还是寒冷的,由于温度不是最佳温度而导致的大量死亡很可能是由于寒冷的温度造成的。本研究的目的是调查东北塔林和里加的低温与全因死亡率以及特定原因死亡率之间的关系。资料和方法:我们使用了塔林(1997-2015年)和里加(2009-2015年)11月至3月期间各州死亡登记处死亡和最低气温的每日信息。使用Poisson回归,结合考虑长达21天的滞后时间的分布式滞后非线性模型,研究了每日最低温度与死亡率之间的关系。结果:我们发现,塔林(相对风险(RR)= 1.28,95%置信区间(CI)1.01–1.62)和里加(RR = 1.41,95%CI 1.11– 1.79)。此外,在塔林和塔林,超过75岁的年龄组(RR = 1.64,95%CI 1.17–2.31)和心血管病的死亡率(RR = 1.83,95%CI 1.31–2.55)观察到由于寒冷导致的死亡率显着增加。里加(Riga)的75岁以下人群(RR = 1.58,95%CI 1.12–2.22)。在这项研究中,我们发现呼吸或外部原因导致的死亡率与寒冷天之间没有统计学上的显着关系。塔林的感冒相关归因分数(AF)为7.4%(95%CI -3.7-17.5),里加为8.3%(95%CI -0.5-16.3)。这表明在寒冷的冬季,相对较大的死亡人数可能与东北部的寒冷有关。

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