Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.
School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Brisbane, Qld, 4509, Australia.
Sci Total Environ. 2016 Nov 15;571:27-33. doi: 10.1016/j.scitotenv.2016.07.103. Epub 2016 Jul 22.
Although studies have well documented increased mortality risk during extreme heat and heatwaves, few have examined their impacts on emergency ambulance dispatches under different temperature metrics. Additionally, evidence on the attributable risk of emergency ambulance dispatches due to extreme heat and heatwaves is scarce around the world.
A distributed lag nonlinear model (DLNM) was applied to quantify the impact of extreme heat and heatwaves on emergency ambulance dispatches in Huainan, China, during 2011-2013. Several local extreme heat and heatwave definitions were tested by using percentile of daily mean temperature (i.e., 95th, 97.5th and 99th) and duration (i.e.,≥2 consecutive days and ≥3 consecutive days). The fraction of emergency ambulance dispatches attributable to extreme heat and heatwaves was also quantitatively estimated.
Both extreme heat and heatwaves were significantly associated with increases in emergency ambulance dispatches, and their effects appeared to be acute. For extreme heat effects, the relative risks (RRs) of emergency ambulance dispatches at lag0 steadily increased from 95th percentile of daily mean temperature (1.03, 95% confidence interval (CI): 1.01-1.05) to 99th percentile (1.07, 95% CI: 1.05-1.10). For heatwave effects, we observed that RRs of emergency ambulance dispatches at lag0 fluctuated between 1.03 and 1.05 across different heatwave definitions. Notably, the fraction of emergency ambulance dispatches attributable to extreme heat decreased with higher percentile of daily mean temperature, dropping from 2.24% (95% CI: 1.41%-2.99%) at 95th percentile to 0.69% (95% CI: 0.45%-0.92%) at 99th percentile. Likewise, we found that heatwaves with higher intensity and (or) longer duration accounted for lower fraction of emergency ambulance dispatches, varying between 0.51%-1.52%.
Our findings may have important implications for the development of local heat warming systems and public health interventions to lessen the impact of extreme heat events on population health.
尽管已有研究充分记录了极热和热浪期间死亡率风险增加,但很少有研究在不同的温度指标下考察它们对紧急救护车派遣的影响。此外,关于极热和热浪导致的紧急救护车派遣的归因风险的证据在全球范围内也很匮乏。
本研究采用分布滞后非线性模型(DLNM),量化了 2011-2013 年中国淮南极端高温和热浪对紧急救护车派遣的影响。通过使用日平均温度的百分位数(即第 95、97.5 和 99 百分位)和持续时间(即≥2 天和≥3 天),测试了几种局部极端高温和热浪定义。还定量估计了极热和热浪导致的紧急救护车派遣的归因分数。
极热和热浪均与紧急救护车派遣的增加显著相关,其影响似乎是急性的。对于极热效应,滞后 0 时紧急救护车派遣的相对风险(RR)从第 95 百分位日平均温度(1.03,95%置信区间[CI]:1.01-1.05)稳步增加到第 99 百分位(1.07,95% CI:1.05-1.10)。对于热浪效应,我们观察到,在不同的热浪定义下,滞后 0 时紧急救护车派遣的 RR 在 1.03 和 1.05 之间波动。值得注意的是,极热导致的紧急救护车派遣归因分数随日平均温度的百分位升高而降低,从第 95 百分位的 2.24%(95% CI:1.41%-2.99%)降至第 99 百分位的 0.69%(95% CI:0.45%-0.92%)。同样,我们发现强度更高和(或)持续时间更长的热浪占紧急救护车派遣的比例较低,在 0.51%-1.52%之间变化。
本研究结果可能对制定地方热变暖系统和公共卫生干预措施具有重要意义,以减轻极端高温事件对人口健康的影响。