Wang Yan, Bobb Jennifer F, Papi Bianca, Wang Yun, Kosheleva Anna, Di Qian, Schwartz Joel D, Dominici Francesca
Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, MA, 02215, USA.
Biostatistics Unit, Group Health Research Institute, 1730 Minor Ave #1600, Seattle, WA, 98101, USA.
Environ Health. 2016 Aug 8;15(1):83. doi: 10.1186/s12940-016-0167-3.
Heat stroke is a serious heat-related illness, especially among older adults. However, little is known regarding the spatiotemporal variation of heat stroke admissions during heat waves and what factors modify the adverse effects.
We conducted a large-scale national study among 23.5 million Medicare fee-for-service beneficiaries per year residing in 1,916 US counties during 1999-2010. Heat wave days, defined as a period of at least two consecutive days with temperatures exceeding the 97th percentile of that county's temperatures, were matched to non-heat wave days by county and week. We fitted random-effects Poisson regression models to estimate the relative risk (RR) of heat stroke admissions on a heat wave day as compared to a matched non-heat wave day. A variety of effect modifiers were tested including individual-level covariates, community-level covariates, meteorological conditions, and the intensity and duration of the heat wave event.
The RR declined substantially from 71.0 (21.3-236.2) in 1999 to 3.5 (1.9-6.5) in 2010, and was highest in the northeast and lowest in the west north central regions of the US. We found a lower RR among counties with higher central air conditioning (AC) prevalence. More severe and longer-lasting heat waves had higher RRs.
Heat stroke hospitalizations associated with heat waves declined dramatically over time, indicating increased resilience to extreme heat among older adults. Considerable risks, however, still remain through 2010, which could be addressed through public health interventions at a regional scale to further increase central AC and monitoring heat waves.
中暑是一种严重的与热相关的疾病,在老年人中尤为常见。然而,关于热浪期间中暑入院的时空变化以及哪些因素会改变其不良影响,我们知之甚少。
我们对1999年至2010年期间居住在美国1916个县的每年2350万医疗保险按服务收费受益人群进行了一项大规模的全国性研究。热浪日定义为至少连续两天温度超过该县温度第97百分位数的时间段,按县和周将其与非热浪日进行匹配。我们拟合随机效应泊松回归模型,以估计热浪日中暑入院的相对风险(RR)与匹配的非热浪日相比。测试了多种效应修饰因素,包括个体水平协变量、社区水平协变量、气象条件以及热浪事件的强度和持续时间。
RR从1999年的71.0(21.3 - 236.2)大幅下降至2010年的3.5(1.9 - 6.5),在美国东北部最高,在西部中北部地区最低。我们发现中央空调(AC)普及率较高的县RR较低。更严重、持续时间更长的热浪RR更高。
与热浪相关的中暑住院人数随时间大幅下降,表明老年人对极端高温的适应能力增强。然而,到2010年仍存在相当大的风险,可通过区域规模的公共卫生干预措施来解决,以进一步增加中央空调并监测热浪。