Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China.
BMC Public Health. 2024 Feb 1;24(1):341. doi: 10.1186/s12889-024-17814-5.
Although studies have indicated that extreme temperature is strongly associated with respiratory diseases, there is a dearth of studies focused on children, especially in China. We aimed to explore the association between extreme temperature and children's outpatient visits for respiratory diseases and seasonal modification effects in Harbin, China.
A distributed lag nonlinear model (DLNM) was used to explore the effect of extreme temperature on daily outpatient visits for respiratory diseases among children, as well as lag effects and seasonal modification effects.
Extremely low temperatures were defined as the 1st percentile and 2.5th percentile of temperature. Extremely high temperatures were defined as the 97.5th percentile and 99th percentile of temperature. At extremely high temperatures, both 26 °C (97.5th) and 27 °C (99th) showed adverse effects at lag 0-6 days, with relative risks (RRs) of 1.34 [95% confidence interval (CI): 1.21-1.48] and 1.38 (95% CI: 1.24-1.53), respectively. However, at extremely low temperatures, both - 26 °C (1st) and - 23 °C (2.5th) showed protective effects on children's outpatient visits for respiratory diseases at lag 0-10 days, with RRs of 0.86 (95% CI: 0.76-0.97) and 0.85 (95% CI: 0.75-0.95), respectively. We also found seasonal modification effects, with the association being stronger in the warm season than in the cold season at extremely high temperatures.
Our study indicated that extremely hot temperatures increase the risk of children's outpatient visits for respiratory diseases. Efforts to reduce the exposure of children to extremely high temperatures could potentially alleviate the burden of pediatric respiratory diseases, especially during the warm season.
尽管已有研究表明,极端温度与呼吸疾病密切相关,但针对儿童的研究却相对较少,尤其是在中国。本研究旨在探讨中国哈尔滨地区极端温度与儿童呼吸疾病门诊就诊量之间的关系,并分析季节性修饰作用。
采用分布滞后非线性模型(DLNM)探讨极端温度对儿童呼吸疾病日门诊就诊量的影响,以及滞后效应和季节性修饰作用。
极低温度定义为温度的第 1 百分位数和第 2.5 百分位数。极高温度定义为温度的第 97.5 百分位数和第 99 百分位数。在极高温度下,26°C(第 97.5 百分位数)和 27°C(第 99 百分位数)在滞后 0-6 天均表现出不利影响,相对风险(RR)分别为 1.34(95%置信区间[CI]:1.21-1.48)和 1.38(95% CI:1.24-1.53)。然而,在极低温度下,-26°C(第 1 百分位数)和-23°C(第 2.5 百分位数)在滞后 0-10 天均对儿童呼吸疾病门诊就诊量具有保护作用,RR 分别为 0.86(95% CI:0.76-0.97)和 0.85(95% CI:0.75-0.95)。我们还发现了季节性修饰作用,在极高温度下,暖季的关联强度强于冷季。
本研究表明,极热天气增加了儿童呼吸疾病门诊就诊的风险。减少儿童暴露于极高温度的努力可能有助于减轻儿科呼吸疾病的负担,尤其是在暖季。