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温度与死亡率之间的关联是否会受到年龄、性别和社会经济地位的影响?

Is the association between temperature and mortality modified by age, gender and socio-economic status?

机构信息

School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.

出版信息

Sci Total Environ. 2010 Aug 1;408(17):3513-8. doi: 10.1016/j.scitotenv.2010.04.058. Epub 2010 May 31.

Abstract

BACKGROUND

A number of studies have examined the relationship between high ambient temperature and mortality. Recently, concern has arisen about whether this relationship is modified by socio-demographic factors. However, data for this type of study is relatively scarce in subtropical/tropical regions where people are well accustomed to warm temperatures.

OBJECTIVE

To investigate whether the relationship between daily mean temperature and daily all-cause mortality is modified by age, gender and socio-economic status (SES) in Brisbane, Australia.

METHODS

We obtained daily mean temperature and all-cause mortality data for Brisbane, Australia during 1996-2004. A generalised additive model was fitted to assess the percentage increase in all deaths with every one degree increment above the threshold temperature. Different age, gender and SES groups were included in the model as categorical variables and their modification effects were estimated separately.

RESULTS

A total of 53,316 non-external deaths were included during the study period. There was a clear increasing trend in the harmful effect of high temperature on mortality with age. The effect estimate among women was more than 20 times that among men. We did not find an SES effect on the percent increase associated with temperature.

CONCLUSIONS

The effects of high temperature on all deaths were modified by age and gender but not by SES in Brisbane, Australia.

摘要

背景

许多研究都探讨了环境高温与死亡率之间的关系。最近,人们开始担心这种关系是否会受到社会人口因素的影响。然而,在亚热带/热带地区,人们对高温已经习以为常,因此这种类型的研究数据相对较少。

目的

研究在澳大利亚布里斯班,年龄、性别和社会经济地位(SES)是否会改变日平均温度与全因死亡率之间的关系。

方法

我们获取了澳大利亚布里斯班 1996-2004 年的日平均温度和全因死亡率数据。采用广义相加模型评估了高温每升高一度,全因死亡人数增加的百分比。模型中包含了不同年龄、性别和 SES 群体作为分类变量,并分别估计了它们的修正效应。

结果

在研究期间,共有 53316 例非外部死亡被纳入。高温对死亡率的有害影响随着年龄的增长呈现出明显的上升趋势。女性的效应估计值是男性的 20 多倍。我们没有发现 SES 对与温度相关的百分比增加有影响。

结论

在澳大利亚布里斯班,高温对全因死亡的影响受到年龄和性别的影响,但不受 SES 的影响。

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