International Platform for Dryland Research and Education, Tottori University, Tottori 680-0001, Japan.
Division of Health Administration and Promotion, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan.
Int J Environ Res Public Health. 2021 Feb 9;18(4):1632. doi: 10.3390/ijerph18041632.
An increase in the global surface temperature and changes in urban morphologies are associated with increased heat stress especially in urban areas. This can be one of the contributing factors underlying an increase in heat strokes. We examined the impact of summer minimum air temperatures, which often represent nighttime temperatures, as well as a maximum temperature on a heat stroke. We collected data from the records of daily ambulance transports for heat strokes and meteorological data for July and August of 2017-2019 in the Tottori Prefecture, Japan. A time-stratified case-crossover design was used to determine the association of maximum/minimum air temperatures and the incidence of heat strokes. We used a logistic regression to identify factors associated with the severity of heat strokes. A total of 1108 cases were identified with 373 (33.7%) calls originating in the home (of these, 59.8% were the age of ≥ 75). A total of 65.8% of cases under the age of 18 were related to exercise. Days with a minimum temperature ≥ 25 °C had an odds ratio (95% confidence interval) of 3.77 (2.19, 6.51) for the incidence of an exercise-related heat stroke (reference: days with a minimum temperature < 23 °C). The odds ratio for a heat stroke occurring at home or for calls for an ambulance to the home was 6.75 (4.47, 10.20). The severity of the heat stroke was associated with older age but not with air temperature. Minimum and maximum air temperatures may be associated with the incidence of heat strokes and in particular the former with non-exertional heat strokes.
全球表面温度升高和城市形态变化与热应激增加有关,尤其是在城市地区。这可能是热中风增加的一个原因。我们研究了夏季最低空气温度(通常代表夜间温度)以及最高温度对热中风的影响。我们收集了日本鸟取县 2017-2019 年 7 月和 8 月的热中风每日救护车转运记录和气象数据。采用时间分层病例交叉设计来确定最高/最低空气温度与热中风发生率之间的关联。我们使用逻辑回归来确定与热中风严重程度相关的因素。共确定了 1108 例病例,其中 373 例(33.7%)来自家中(其中 59.8%为≥75 岁)。65.8%的 18 岁以下病例与运动有关。最低温度≥25°C 的天数发生与运动相关的热中风的比值比(95%置信区间)为 3.77(2.19,6.51)(参考:最低温度<23°C 的天数)。在家中发生热中风或呼叫救护车到家中的比值比为 6.75(4.47,10.20)。热中风的严重程度与年龄较大有关,但与空气温度无关。最低和最高空气温度可能与热中风的发生有关,特别是前者与非运动性热中风有关。