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Spatial analysis of heat-related mortality among the elderly between 1993 and 2004 in Sydney, Australia.

机译:澳大利亚悉尼1993年至2004年之间与老年人热相关的死亡率的空间分析。

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This study analyzed the geographical patterns of heat-related mortality among the population aged 65 and over within the metropolitan area of Sydney, Australia between 1993 and 2004, and evaluated the role of some physical and socio-demographic risk factors associated with it. The effect of temperature on all-cause mortality during unusually hot days was investigated using spatial analytic techniques, such as cluster analysis and spatial regression analysis. Generalized Linear Models (GLMs) were used to investigate the role of daily average temperature, ozone (O(3)) and particulate matter of diameter less than 10 microm (PM(10)) at the regions that showed a significant increase in mortality on unusually hot days. Spatial variation in mortality on unusually hot days was observed among the population 65 and over. Elderly people living within 5-20 km south-west and west of the Sydney Central Business District (CBD) were found to be more vulnerable. However, analysis using GLMs showed temperature to be a significant modifier of daily mortality in the region to the south-west of the CBD only. O(3) and PM(10) were found to be non-significant factors in the regions where air pollutants were studied. Socio-economic status and the proportion of vegetation or developed land in each Statistical Local Area (SLA) were also not a significant factor explaining the increased mortality. A combination of social and environmental factors may be at play. Our results suggest an effect of temperature on mortality of the elderly population in Sydney Statistical Division at the SLA level. More spatially-based research would be beneficial once climate datasets with improved spatial coverage become available.
机译:这项研究分析了1993年至2004年澳大利亚悉尼市区内65岁及65岁以上人口中与热有关的死亡率的地理格局,并评估了与之相关的一些物理和社会人口统计学危险因素的作用。使用空间分析技术(例如聚类分析和空间回归分析)研究了温度对异常炎热天气中全因死亡率的影响。广义线性模型(GLM)用于研究日平均温度,臭氧(O(3))和直径小于10微米的颗粒物(PM(10))在显示死亡率显着增加的区域的作用。异常热的日子。在65岁及以上的人群中,观察到在异常炎热的日子里死亡率的空间变化。发现居住在悉尼中央商务区(CBD)西南和西部5-20公里以内的老年人更容易受到伤害。但是,使用GLM进行的分析表明,温度仅是CBD西南区域每日死亡率的重要调节剂。在研究空气污染物的区域中,O(3)和PM(10)被认为是不重要的因素。社会经济地位以及每个统计局部区域(SLA)中植被或发达土地的比例也不是解释死亡率增加的重要因素。社会因素和环境因素的结合可能正在发挥作用。我们的研究结果表明,温度对SLA水平下悉尼统计局老年人口死亡率的影响。一旦可获得具有改善的空间覆盖率的气候数据集,更多基于空间的研究将是有益的。

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