Pattenden S, Nikiforov B, Armstrong B G
London School of Hygiene and Tropical Medicine, London, UK.
J Epidemiol Community Health. 2003 Aug;57(8):628-33. doi: 10.1136/jech.57.8.628.
Heat and cold have been associated with increased mortality, independently of seasonal trends, but details are little known. This study explores associations between mortality and temperature in two European capitals-Sofia and London-using four years of daily deaths, air pollution, and weather data.
Generalised additive models were used to permit non-linear modelling of confounders such as season and humidity, and to show the shape of mortality-temperature relations-using both two day and two week average temperatures separately. Models with linear terms for heat and cold were used to estimate lags of effect, linear effects, and attributable fractions.
44701 all age all cause deaths in Sofia (1996-1999) and 256464 in London (1993-1996).
In London, for each degree of extreme cold (below the 10th centile of the two week mean temperature), mortality increased by 4.2% (95% CI 3.4 to 5.1), and in Sofia by 1.8% (0.6 to 3.9). For each degree rise above the 95th centile of the two day mean, mortality increased by 1.9% (1.4 to 2.4) in London, and 3.5% (2.2 to 4.8) in Sofia. Cold effects appeared after lags of around three days and lasted-particularly in London-at least two weeks. Main heat effects occurred more promptly. There were inverse associations at later lags for heat and cold in Sofia.
Average temperatures over short periods do not adequately model cold, and may be inadequate for heat if they ignore harvesting effects. Cold temperatures in London, particularly, seem to harm the general population and the effects are not concentrated among persons close to death.
与季节趋势无关,高温和低温都与死亡率增加有关,但具体细节鲜为人知。本研究利用四年的每日死亡、空气污染和天气数据,探讨了两个欧洲首都——索非亚和伦敦——的死亡率与温度之间的关联。
采用广义相加模型对季节和湿度等混杂因素进行非线性建模,并分别使用两日平均温度和两周平均温度来展示死亡率与温度关系的形态。使用包含高温和低温线性项的模型来估计效应滞后、线性效应和归因分数。
索非亚(1996 - 1999年)所有年龄段所有死因的44701例死亡以及伦敦(1993 - 1996年)的256464例死亡。
在伦敦,每降低一个极端寒冷程度(低于两周平均温度的第10百分位数),死亡率增加4.2%(95%置信区间3.4至5.1),在索非亚增加1.8%(0.6至3.9)。每高于两日平均温度的第95百分位数一个单位,伦敦的死亡率增加1.9%(1.4至2.4),索非亚增加3.5%(2.2至4.8)。寒冷效应在大约三天的滞后后出现,并持续——尤其是在伦敦——至少两周。主要的高温效应出现得更快。在索非亚,高温和低温在后期滞后存在负相关。
短期内的平均温度不能充分模拟寒冷情况,如果忽略收获效应,对于高温情况可能也不充分。特别是伦敦的低温似乎对普通人群有害,且影响并不集中在临近死亡的人群中。