Carder M, McNamee R, Beverland I, Elton R, Cohen G R, Boyd J, Agius R M
Centre for Occupational and Environmental Health, University of Manchester, Manchester, UK.
Occup Environ Med. 2005 Oct;62(10):702-10. doi: 10.1136/oem.2004.016394.
To investigate the lagged effects of cold temperature on cardiorespiratory mortality and to determine whether "wind chill" is a better predictor of these effects than "dry bulb" temperature.
Generalised linear Poisson regression models were used to investigate the relation between mortality and "dry bulb" and "wind chill" temperatures in the three largest Scottish cities (Glasgow, Edinburgh, and Aberdeen) between January 1981 and December 2001. Effects of temperature on mortality (lags up to one month) were quantified. Analyses were conducted for the whole year and by season (cool and warm seasons).
Temperature was a significant predictor of mortality with the strongest association observed between temperature and respiratory mortality. There was a non-linear association between mortality and temperature. Mortality increased as temperatures fell throughout the range, but the rate of increase was steeper at temperatures below 11 degrees C. The association between temperature and mortality persisted at lag periods beyond two weeks but the effect size generally decreased with increasing lag. For temperatures below 11 degrees C, a 1 degrees C drop in the daytime mean temperature on any one day was associated with an increase in mortality of 2.9% (95% CI 2.5 to 3.4), 3.4% (95% CI 2.6 to 4.1), 4.8% (95% CI 3.5 to 6.2) and 1.7% (95% CI 1.0 to 2.4) over the following month for all cause, cardiovascular, respiratory, and "other" cause mortality respectively. The effect of temperature on mortality was not observed to be significantly modified by season. There was little indication that "wind chill" temperature was a better predictor of mortality than "dry bulb" temperature.
Exposure to cold temperature is an important public health problem in Scotland, particularly for those dying from respiratory disease.
研究低温对心肺死亡率的滞后效应,并确定“风寒指数”是否比“干球温度”更能预测这些效应。
采用广义线性泊松回归模型,研究1981年1月至2001年12月期间,苏格兰三大城市(格拉斯哥、爱丁堡和阿伯丁)的死亡率与“干球温度”和“风寒指数”之间的关系。对温度对死亡率的影响(滞后长达一个月)进行了量化。全年及按季节(凉爽和温暖季节)进行了分析。
温度是死亡率的重要预测因素,温度与呼吸死亡率之间的关联最强。死亡率与温度之间存在非线性关联。随着温度在整个范围内下降,死亡率上升,但在温度低于11摄氏度时上升速度更快。温度与死亡率之间的关联在两周以上的滞后期仍然存在,但效应大小通常随着滞后期的增加而减小。对于低于11摄氏度的温度,任何一天白天平均温度下降1摄氏度,在接下来的一个月内,全因死亡率、心血管死亡率、呼吸死亡率和“其他”原因死亡率分别增加2.9%(95%可信区间2.5至3.4)、3.4%(95%可信区间2.6至4.1)、4.8%(95%可信区间3.5至6.2)和1.7%(95%可信区间1.0至2.4)。未观察到季节对温度对死亡率的影响有显著改变。几乎没有迹象表明“风寒指数”温度比“干球温度”更能预测死亡率。
在苏格兰,暴露于低温是一个重要的公共卫生问题,特别是对于那些死于呼吸系统疾病的人。