Lewandowski Stephen A, Shaman Jeffrey L
Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd., Bethesda, MD, 20814, USA.
Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 West 168th St., New York, NY, 10032, USA.
Int J Biometeorol. 2022 Jun;66(6):1199-1208. doi: 10.1007/s00484-022-02269-3. Epub 2022 Mar 15.
Heat stress illnesses represent a rising public health threat; however, associations between environmental heat and observed adverse health outcomes across populations and geographies remain insufficiently elucidated to evaluate risk and develop prevention strategies. In particular, military-relevant large-scale studies of daily heat stress morbidity responses among physically active, working-age adults to various indices of heat have been limited. We evaluated daily means, maximums, minimums, and early morning measures of temperature, heat index, and wet bulb globe temperature (WBGT) indices, assessing their association with 31,642 case-definition heat stroke and heat exhaustion encounters among active duty servicemembers diagnosed at 24 continental US installations from 1998 to 2019. We utilized anonymized encounter data consisting of hospitalizations, ambulatory (out-patient) visits, and reportable events to define heat stress illness cases and select the 24 installations with the highest case counts. We derived daily indices of heat from hourly-scale gridded climate data and applied a case-crossover study design incorporating distributed-lag, nonlinear models with 5 days of lag to estimate odds ratios at one-degree increments for each index of heat. All indices exhibited nonlinear odds ratios with short-term lag effects throughout observed temperature ranges. Responses were positive, monotonic, and exponential in nature, except for maximum daily WBGT, minimum daily temperature, temperature at 0600 h (local), and WBGT at 0600 h (local), which, while generally increasing, showed decreasing risk for the highest heat category days. The risk for a heat stress illness on a day with a maximum WBGT of 32.2 °C (90.0 °F) was 1.93 (95% CI, 1.82 - 2.05) times greater than on a day with a maximum WBGT of 28.6 °C (83.4 °F). The risk was 2.53 (2.36-2.71) times greater on days with a maximum heat index of 40.6 °C (105 °F) compared to 32.8 °C (91.0 °F). Our findings suggest that prevention efforts may benefit from including prior-day heat levels in risk assessments, from monitoring temperature and heat index in addition to WBGT, and by promoting control measures and awareness across all heat categories.
热应激疾病对公众健康构成的威胁日益增加;然而,环境热度与不同人群和地区所观察到的不良健康结果之间的关联仍未得到充分阐明,难以据此评估风险并制定预防策略。特别是,针对身体活跃的适龄工作成年人对各种热指标的每日热应激发病率反应开展的与军事相关的大规模研究一直很有限。我们评估了温度、热指数和湿球黑球温度(WBGT)指数的每日均值、最高值、最低值以及清晨测量值,评估它们与1998年至2019年期间在美国本土24个军事基地确诊的31,642例符合病例定义的中暑和热衰竭病例之间的关联。我们利用了匿名的病例数据,包括住院治疗、门诊(门诊)就诊和应报告事件,以定义热应激疾病病例,并选择病例数最多的24个军事基地。我们从每小时尺度的网格化气候数据中得出每日热指标,并应用了一种病例交叉研究设计,纳入了具有5天滞后的分布滞后非线性模型,以估计每个热指标每升高一度的优势比。在整个观察到的温度范围内,所有指标均呈现出具有短期滞后效应的非线性优势比。除了每日最高WBGT、每日最低温度、当地时间06:00的温度和当地时间06:00的WBGT外,反应在性质上呈正向、单调且指数型,这些指标虽然总体上呈上升趋势,但在最热类别天数的风险呈下降趋势。WBGT最高值为32.2°C(90.0°F)的一天发生热应激疾病的风险比WBGT最高值为28.6°C(83.4°F)的一天高1.93倍(95%CI,1.82 - 2.05)。与热指数最高值为32.8°C(91.0°F)的日子相比,热指数最高值为40.6°C(105°F)的日子风险高2.53倍(2.36 - 2.71)。我们的研究结果表明,预防工作可能受益于在风险评估中纳入前一日的热水平,除了WBGT之外还监测温度和热指数,并通过在所有热类别中推广控制措施和提高认识。