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当前和未来极端高温的健康风险评估问题。

Issues in health risk assessment of current and future heat extremes.

机构信息

Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.

出版信息

Glob Health Action. 2009 Nov 11;2. doi: 10.3402/gha.v2i0.2043.

Abstract

BACKGROUND

In assessing health risks relating to current and future heat extremes, it is important to include developing countries, because these countries are considered to be vulnerable to the impact of climate change due to inadequate public health infrastructure, nutritional status and so forth. However, it is usually difficult to obtain relevant information from these countries, also because of insufficient public health infrastructure.

OBJECTIVES

We invented a method that can be used for developing countries to assess the health risks of current and future extremes, but there still are some issues. We introduce and discuss these issues.

DESIGN

We analysed time-series data with non-parametric regression models including generalised additive models, which controlled for time trends.

RESULTS

When we controlled for year, the temperature-mortality relation was V-shaped, but when we controlled for season as well as year, the left side of the V-shape disappeared. Our month-specific analysis also revealed that winter months had higher mortality rates than other months, but there was no relation between mortality rate and temperature within each month during winter.

CONCLUSIONS

This suggests that, unlike heat effects, risks due to cold effects may not be ameliorated even if global warming occurs. We need to investigate the mechanism behind high mortality during winter months.

摘要

背景

在评估当前和未来极端高温对健康的影响时,纳入发展中国家非常重要,因为这些国家由于公共卫生基础设施不足、营养状况等原因,被认为容易受到气候变化的影响。然而,由于公共卫生基础设施不足,通常很难从这些国家获得相关信息。

目的

我们发明了一种可用于评估发展中国家当前和未来极端情况健康风险的方法,但仍存在一些问题。我们介绍并讨论了这些问题。

设计

我们使用非参数回归模型(包括广义加性模型)分析了时间序列数据,这些模型控制了时间趋势。

结果

当我们仅控制年份时,温度与死亡率之间呈 V 形关系,但当我们同时控制季节和年份时,V 形的左侧消失了。我们对各月份的具体分析还表明,冬季的死亡率高于其他月份,但在冬季的每个月份内,死亡率与温度之间没有关系。

结论

这表明,与热效应不同,即使发生全球变暖,寒冷效应引起的风险也可能不会减轻。我们需要研究冬季高死亡率背后的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24f6/2799309/42e23dbaf335/GHA-2-2043-g001.jpg

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