State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, China.
Sci Total Environ. 2015 Feb 15;506-507:18-25. doi: 10.1016/j.scitotenv.2014.10.092. Epub 2014 Nov 14.
Few studies have explored the added effect of heat waves, especially in China. Moreover, no prior studies have assessed whether the choice of heat wave definitions affected this added effect. This study compared the associations between heat waves defined by different heat wave definitions (HWs) and cause-specific mortality in warm season in Nanjing, China.
A distributed lag model was applied to evaluate the differences in daily mortality during heat-wave days (defined using 15 HWs) compared with non-heat-wave days in Nanjing, during 2007 to 2013. For different HWs, model fits were examined by the Akaike Information Criterion for quasi-Poisson and effects were compared by stratified analysis and bootstrapping. In addition, we explored the effect modifications by individual characteristics under different HWs.
Different HWs resulted in considerable differences in associations between heat waves and mortality. Heat waves defined as ≥4 consecutive days with daily average temperature >98th percentile had the best model fit and were associated with an increase of 24.6% (95% CI: 15.6%, 34.3%) total mortality, 46.9% (95% CI: 33.0%, 62.3%) cardiovascular mortality, 32.0% (95% CI: 8.5%, 60.5%) respiratory mortality, 51.3% (95% CI: 23.4%, 85.6%) stroke mortality, 63.4% (95% CI: 41.5%, 88.8%) ischemic heart disease mortality, and 47.6% (95% CI: 14.5%, 90.3%) chronic obstructive pulmonary disease mortality at lag day 2. Under different HWs, added effects of heat waves on mortality were higher for females versus males, the elderly versus young residents, and people with low education versus those with high education. Results were less sensitive to the inclusion of air pollutants.
Heat wave definition plays a critical role in the relationship between heat waves and mortality. Selecting an appropriate definition of heat waves is therefore important to design local heat warning systems and to reduce the burden of disease during heat waves.
鲜有研究探索热浪的附加效应,尤其是在中国。此外,此前的研究并未评估热浪定义的选择是否会影响这种附加效应。本研究比较了不同热浪定义(HWs)定义的热浪与中国南京暖季特定原因死亡率之间的关联。
应用分布滞后模型评估 2007 年至 2013 年期间南京的热浪日(使用 15 种 HWs 定义)与非热浪日之间的每日死亡率差异。对于不同的 HWs,通过拟泊松分布的赤池信息量准则检验模型拟合情况,并通过分层分析和自举法比较效果。此外,我们还在不同的 HWs 下探讨了个体特征的效应修饰作用。
不同的 HWs 导致热浪与死亡率之间的关联存在显著差异。将连续 4 天以上日平均温度超过第 98 百分位数定义为热浪的方法具有最佳的模型拟合度,与总死亡率增加 24.6%(95%置信区间:15.6%,34.3%)、心血管死亡率增加 46.9%(95%置信区间:33.0%,62.3%)、呼吸死亡率增加 32.0%(95%置信区间:8.5%,60.5%)、中风死亡率增加 51.3%(95%置信区间:23.4%,85.6%)、缺血性心脏病死亡率增加 63.4%(95%置信区间:41.5%,88.8%)和慢性阻塞性肺疾病死亡率增加 47.6%(95%置信区间:14.5%,90.3%)相关。在不同的 HWs 下,热浪对死亡率的附加效应在女性与男性、老年人与年轻居民、低教育程度与高教育程度人群之间存在差异。结果对空气污染物的纳入不太敏感。
热浪定义在热浪与死亡率之间的关系中起着关键作用。因此,选择适当的热浪定义对于设计当地的热浪预警系统和减少热浪期间的疾病负担非常重要。