Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Gansu Provincial Centre for Diseases Prevention and Control, Lanzhou 730000, China.
Int J Environ Res Public Health. 2023 Jan 20;20(3):1959. doi: 10.3390/ijerph20031959.
As a destructive and economic disaster in the world, drought shows an increasing trend under the continuous global climate change and adverse health effects have been reported. The interactive effects between drought and air pollutants, which may also be harmful to respiratory systems, remain to be discussed. We built the generalized additive model (GAM) and distributed lag nonlinear model (DLNM) to estimate the effects of drought and air pollutants on daily upper respiratory infections (URTI) outpatient visits among children under 6 in three cities of Gansu province. The Standardized Precipitation Index (SPI) based on monthly precipitation (SPI-1) was used as an indicator of drought. A non-stratified model was established to explore the interaction effect of SPI-1 and air pollutants. We illustrated the number of daily pediatric URTI outpatient visits increased with the decrease in SPI-1. The interactive effects between air pollutants and the number of daily pediatric URTIs were significant. According to the non-stratified model, we revealed highly polluted and drought environments had the most significant impact on URTI in children. The occurrence of drought and air pollutants increased URTI in children and exhibited a significant interactive effect.
作为世界范围内具有破坏性和经济性的灾害,干旱在持续的全球气候变化下呈现出增长趋势,且已有报道称其对健康存在不良影响。干旱与空气污染物之间的相互作用可能也会对呼吸系统造成危害,这方面仍有待讨论。我们构建了广义相加模型(GAM)和分布滞后非线性模型(DLNM),以评估甘肃省三个城市的干旱和空气污染物对 6 岁以下儿童每日上呼吸道感染(URTI)门诊就诊的影响。基于月降水量的标准化降水指数(SPI)(SPI-1)被用作干旱的指标。我们建立了一个非分层模型来探讨 SPI-1 与空气污染物之间的交互作用。结果表明,每日儿科 URTI 门诊就诊人数随着 SPI-1 的降低而增加。空气污染物与每日儿科 URTI 数量之间的交互作用具有统计学意义。根据非分层模型,我们发现高污染和干旱环境对儿童 URTI 的影响最大。干旱和空气污染物的发生增加了儿童 URTI 的发生,并表现出显著的交互作用。