Spangler Keith R, Adams Quinn H, Hu Jie Kate, Braun Danielle, Weinberger Kate R, Dominici Francesca, Wellenius Gregory A
Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.
Department of Biostatistics, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts.
Environ Epidemiol. 2023 Jul 13;7(4):e261. doi: 10.1097/EE9.0000000000000261. eCollection 2023 Aug.
Outdoor air temperature is associated with increased morbidity and mortality. Other thermal indices theoretically confer greater physiological relevance by incorporating additional meteorological variables. However, the optimal metric for predicting excess deaths or hospitalizations owing to extreme heat among US Medicare beneficiaries remains unknown.
We calculated daily maximum, minimum, and mean outdoor air temperature (T), heat index (HI), wet-bulb globe temperature (WBGT), and Universal Thermal Climate Index (UTCI) for populous US counties and linked estimates with daily all-cause mortality and heat-related hospitalizations among Medicare beneficiaries (2006-2016). We fit distributed-lag nonlinear models for each metric and compared relative risks (RRs) at the 99th percentile.
Across all heat metrics, extreme heat was statistically significantly associated with elevated risks of morbidity and mortality. Associations were more pronounced for maximum daily values versus the corresponding minimum for the same metric. The starkest example was between HI (RR = 1.14; 95% confidence interval [CI] = 1.12, 1.15) and HI (RR = 1.10; 95% CI = 1.09, 1.11) for hospitalizations. When comparing RRs across heat metrics, we found no statistically significant differences within the minimum and maximum heat values (i.e., no significant differences between T/HI/WBGT/UTCI or between T/HI/WBGT/UTCI). We found similar relationships across the National Climate Assessment regions.
Among Medicare beneficiaries in populous US counties, daily maximum and mean values of outdoor heat are associated with greater RRs of heat-related morbidity and all-cause mortality versus minimum values of the same metric. The choice of heat metric (e.g., temperature versus HI) does not appear to substantively affect risk calculations in this population.
室外气温与发病率和死亡率的增加相关。其他热指数理论上通过纳入额外的气象变量具有更大的生理相关性。然而,在美国医疗保险受益人群中,预测因极端高温导致的额外死亡或住院的最佳指标仍然未知。
我们计算了美国人口众多的县的每日最高、最低和平均室外气温(T)、热指数(HI)、湿球黑球温度(WBGT)和通用热气候指数(UTCI),并将这些估计值与医疗保险受益人群(2006 - 2016年)的每日全因死亡率和与热相关的住院情况相关联。我们为每个指标拟合了分布滞后非线性模型,并比较了第99百分位数处的相对风险(RRs)。
在所有热指标中,极端高温与发病率和死亡率升高在统计学上显著相关。对于同一指标,每日最大值的关联比相应最小值更为明显。最明显的例子是住院情况中HI(RR = 1.14;95%置信区间[CI] = 1.12,1.15)与HI(RR = 1.10;95% CI = 1.09,1.11)之间的对比。在比较不同热指标的RRs时,我们发现在最低和最高热值范围内无统计学显著差异(即T/HI/WBGT/UTCI之间或T/HI/WBGT/UTCI之间无显著差异)。我们在国家气候评估区域发现了类似的关系。
在美国人口众多的县的医疗保险受益人群中,室外热的每日最大值和平均值与热相关发病率和全因死亡率的RRs相比同一指标的最小值更高。热指标的选择(例如,温度与HI)似乎对该人群的风险计算没有实质性影响。