O'Neill Marie S, Hajat Shakoor, Zanobetti Antonella, Ramirez-Aguilar Matiana, Schwartz Joel
Department of Epidemiology, University of Michigan, 1214 S. University, Ann Arbor, MI 48104, USA.
Int J Biometeorol. 2005 Nov;50(2):121-9. doi: 10.1007/s00484-005-0269-z. Epub 2005 May 24.
We assessed the influence of control for air pollution and respiratory epidemics on associations between apparent temperature (AT) and daily mortality in Mexico City and Monterrey. Poisson regressions were fit to mortality among all ages, children (ages 0-14 years) and the elderly (ages >or=65 years). Predictors included mean daily AT, season, day of week and public holidays for the base model. Respiratory epidemics and air pollution (particulate matter <10 microm in aerodynamic diameter and O3) were added singly and then jointly for a fully adjusted model. Percent changes in mortality were calculated for days of relatively extreme temperatures [cold (10-11 degrees C) for both cities and heat (35-36 degrees C) for Monterrey], compared to days at the overall mean temperature in each city (15 degrees C in Mexico City, 25 degrees C in Monterrey). In Mexico City, total mortality increased 12.4% [95% confidence interval (CI) 10.5%, 14.5%] on cold days (fully adjusted). Among children, the adjusted association was similar [10.9% (95% CI: 5.4%, 16.7%)], but without control for pollution and epidemics, was nearly twice as large [19.7% (95% CI: 13.9%, 25.9)]. In Monterrey, the fully adjusted heat effect for all deaths was 18.7% (95% CI: 11.7%, 26.1%), a third lower than the unadjusted estimate; the heat effect was lower among children [5.5% (95% CI: -10.1%, 23.8%)]. Cold had a similar effect on all-age mortality as in Mexico City [11.7% (95% CI: 3.7%, 20.3%)]. Responses of the elderly differed little from all-ages responses in both cities. Associations between weather and health persisted even with control for air pollution and respiratory epidemics in two Mexican cities, but risk assessments and climate change adaptation programs are best informed by analyses that account for these potential confounders.
我们评估了空气污染控制和呼吸道传染病对墨西哥城和蒙特雷体感温度(AT)与每日死亡率之间关联的影响。泊松回归模型用于拟合所有年龄段、儿童(0至14岁)和老年人(年龄≥65岁)的死亡率。基础模型的预测因素包括每日平均AT、季节、星期几和公共假日。呼吸道传染病和空气污染(空气动力学直径小于10微米的颗粒物和O3)先单独添加,然后联合添加到完全调整模型中。与每个城市的总体平均温度(墨西哥城为15℃,蒙特雷为25℃)的日子相比,计算了相对极端温度(两个城市的寒冷天气为10至11℃,蒙特雷的炎热天气为35至36℃)日子的死亡率百分比变化。在墨西哥城,寒冷日子的总死亡率在完全调整后增加了12.4%[95%置信区间(CI)10.5%,14.5%]。在儿童中,调整后的关联相似[10.9%(95%CI:5.4%,16.7%)],但在未控制污染和传染病的情况下,几乎是原来的两倍[19.7%(95%CI:13.9%,25.9%)]。在蒙特雷,所有死亡的完全调整后的热效应为18.7%(95%CI:11.7%,26.1%),比未调整的估计值低三分之一;儿童中的热效应较低[5.5%(95%CI:-10.1%,23.8%)]。寒冷对所有年龄段死亡率的影响与墨西哥城相似[11.7%(95%CI:3.7%,20.3%)]。两个城市中老年人的反应与所有年龄段的反应差异不大。即使在控制了墨西哥两个城市的空气污染和呼吸道传染病后,天气与健康之间的关联仍然存在,但风险评估和气候变化适应计划最好通过考虑这些潜在混杂因素的分析来提供信息。