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<p>While air pollution may adversely affect acute upper respiratory infection (AURI), whether meteorological factors modify this effect rarely been studied. This study sought to examine the association of air pollution with the morbidity of AURI as well as the modification effects of temperature and relative humidity (RH). Daily AURI visits data were obtained from Zhengzhou university hospital from 2014 to 2019. Distributed lagged nonlinear model (DLNM) was used to assess the effect of air pollutants on AURI morbidity. The modification effects of temperature and RH on the association of air pollution with AURI morbidity was explored by DLNM with an interaction term of the cross-basis of air pollutants and the temperature or RH. During the study period, 87,186 college students sought medical care for AURI. The relative risk (RR) and 95%&#xa0;confidence&#xa0;interval&#xa0;(95%CI)&#xa0;per interquartile range increase in PM<sub>10</sub>, O<sub>3</sub>, NO<sub>2</sub> and SO<sub>2</sub> were 1.09 (1.04, 1.15), 1.13 (1.02, 1.26), 1.35 (1.27, 1.44), and 1.14 (1.06, 1.23), respectively. Low temperature and high RH might exacerbate the harmful effects of air pollutants, while the opposite for O<sub>3</sub>. This reminded us to take various measures at different temperature and RH to prevent AURI caused by air pollution.</p>

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Association between air pollution and acute upper respiratory infection morbidity: effects of modification under ambient temperature and relative humidity

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月30日

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  • Feng Jiang,
  • Yali Niu,
  • Xuezhong Shi,
  • Yongli Yang,
  • Junzhe Bao,
  • Mengyang Yuan,
  • Xiaocan Jia

摘要

While air pollution may adversely affect acute upper respiratory infection (AURI), whether meteorological factors modify this effect rarely been studied. This study sought to examine the association of air pollution with the morbidity of AURI as well as the modification effects of temperature and relative humidity (RH). Daily AURI visits data were obtained from Zhengzhou university hospital from 2014 to 2019. Distributed lagged nonlinear model (DLNM) was used to assess the effect of air pollutants on AURI morbidity. The modification effects of temperature and RH on the association of air pollution with AURI morbidity was explored by DLNM with an interaction term of the cross-basis of air pollutants and the temperature or RH. During the study period, 87,186 college students sought medical care for AURI. The relative risk (RR) and 95% confidence interval (95%CI) per interquartile range increase in PM10, O3, NO2 and SO2 were 1.09 (1.04, 1.15), 1.13 (1.02, 1.26), 1.35 (1.27, 1.44), and 1.14 (1.06, 1.23), respectively. Low temperature and high RH might exacerbate the harmful effects of air pollutants, while the opposite for O3. This reminded us to take various measures at different temperature and RH to prevent AURI caused by air pollution.