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首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Effects of extremely hot days on people older than 65 years in Seville (Spain) from 1986 to 1997
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Effects of extremely hot days on people older than 65 years in Seville (Spain) from 1986 to 1997

机译:1986年至1997年,极热天对塞维利亚(西班牙)65岁以上人群的影响

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摘要

The effects of heat waves on the population have been described by different authors and a consistent relationship between mortality and temperature has been found, especially in elderly subjects. The present paper studies this effect in Seville, a city in the south of Spain, known for its climate of mild winters and hot summers, when the temperature frequently exceeds 40 degreesC. This study focuses on the summer months (June to September) for the years from 1986 to 1997. The relationships between total daily mortality and different specific causes for persons older than 65 and 75 years, of each gender, were analysed. Maximum daily temperature and relative humidity at 7.00 a.m. were introduced as environmental variables. The possible confounding effect of different atmospheric pollutants, particularly ozone, were considered. The methodology employed was time series analysis using Box-Jenkins models with exogenous variables. On the basis of dispersion diagrams, we defined extremely hot days as those when the maximum daily temperature surpassed 41 degreesC. The ARIMA model clearly shows the relationship between temperature and mortality. Mortality for all causes increased up to 51% above the average in the group over 75 years for each degree Celsius beyond 41 degreesC. The effect is more noticeable for cardiovascular than for respiratory diseases, and more in women than in men. Among the atmospheric pollutants, a relation was found between mortality and concentrations of ozone, especially for men older than 75.
机译:不同作者已经描述了热浪对人口的影响,并且发现死亡率和体温之间存在一致的关系,尤其是在老年受试者中。本文在西班牙南部塞维利亚市研究这种影响,塞维利亚以温和的冬季和炎热的夏季气候而闻名,温度经常超过40摄氏度。这项研究的重点是从1986年至1997年的夏季月份(6月至9月)。分析了每种性别的65岁以上和75岁以上人群的每日总死亡率与不同具体原因之间的关系。将上午7.00时的最高每日温度和相对湿度作为环境变量。考虑了不同大气污染物,特别是臭氧的可能的混杂效应。使用的方法是使用带有外生变量的Box-Jenkins模型进行时间序列分析。根据色散图,我们将极端炎热的日子定义为最高每日温度超过41摄氏度的日子。 ARIMA模型清楚地显示了温度与死亡率之间的关系。超过41摄氏度,摄氏75度,所有原因的死亡率比该组平均水平高出51%。对于心血管疾病的影响比对呼吸系统疾病的影响更明显,对女性的影响比对男性的影响更大。在大气污染物中,发现死亡率与臭氧浓度之间存在关系,尤其是对于75岁以上的男性。

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