Department of Epidemiology, School of Public Health, & Institute of Health and Environment, Seoul National University, Republic of Korea.
Sci Total Environ. 2009 Dec 20;408(2):390-6. doi: 10.1016/j.scitotenv.2009.09.009. Epub 2009 Oct 22.
Extreme ambient temperature has been associated with increased daily mortality across the world. We describe the ambient temperature-mortality association for four capital cities in East Asia, Seoul, Beijing, Tokyo, and Taipei, and identify a threshold temperature for each city and the percent increase in mortality. We adapted generalized linear modeling with natural cubic splines (GLM+NS) to examine the association between daily mean apparent temperature (AT) and total mortality, as well as mortality due to respiratory (RD) and cardiovascular (CVD) causes in a threshold model. We conducted a time-series analysis adjusting for day of the week and long-term time trend. The study period differed by city. The threshold temperature for all seasons was estimated to be 30.1-33.5 degrees C, 31.3-32.3 degrees C, 29.4-30.8 degrees C, and 25.2 degrees -31.5 degrees C for Seoul, Beijing, Tokyo, and Taipei, respectively, on the same day. For the mean daily AT increase of 1 degrees C above the thresholds in Seoul, Tokyo, and Taipei, estimated percentage increases in daily total mortality were 2.7 (95% confidence interval (CI)=2.2-3.1), 1.7 (95% CI=1.5-2.0), and 4.3 (95% CI=2.9-5.7), respectively. Beijing provided no total mortality counts. Estimated percentage increases were 2.7-10.5 for RD mortality, 1.1-9.3 for CVD mortality in 4 cities. This study identified increased mortality due to exposure to elevated AT. The importance of effects of AT and city-specific threshold temperatures suggests that analyses of the impact of climate change should take regional differences into consideration.
极端环境温度与全球范围内的日死亡率增加有关。我们描述了东亚四个首都城市(首尔、北京、东京和台北)的环境温度与死亡率之间的关系,并确定了每个城市的温度阈值和死亡率的百分比增加。我们采用广义线性模型与自然三次样条(GLM+NS)来检验日平均表观温度(AT)与总死亡率以及因呼吸(RD)和心血管(CVD)原因导致的死亡率之间的关系,在阈值模型中。我们进行了时间序列分析,调整了星期几和长期时间趋势。研究期间因城市而异。所有季节的阈值温度估计分别为 30.1-33.5°C、31.3-32.3°C、29.4-30.8°C 和 25.2-31.5°C,对于同一日的首尔、北京、东京和台北。对于首尔、东京和台北的平均日 AT 比阈值高出 1°C 的日增量,估计的每日总死亡率百分比增加分别为 2.7(95%置信区间(CI)=2.2-3.1)、1.7(95% CI=1.5-2.0)和 4.3(95% CI=2.9-5.7)。北京没有提供总死亡率计数。在 4 个城市中,RD 死亡率的估计百分比增加为 2.7-10.5,CVD 死亡率的估计百分比增加为 1.1-9.3。本研究确定了因暴露于升高的 AT 而导致的死亡率增加。AT 的重要性和城市特定的阈值温度表明,气候变化影响的分析应考虑区域差异。