HU Cuiling, XU Jie, SHEN Guomei, SHI Yu, LIU Gongbao, GE Xiaoling, AN Dong, ZHAI Xiaowen. Associations between air pollutants and daily hospital visits in children for respiratory disorders in Shanghai: A time-series study[J]. Journal of Environmental and Occupational Medicine, 2021, 38(1): 23-29. DOI: 10.13213/j.cnki.jeom.2021.20136
Citation: HU Cuiling, XU Jie, SHEN Guomei, SHI Yu, LIU Gongbao, GE Xiaoling, AN Dong, ZHAI Xiaowen. Associations between air pollutants and daily hospital visits in children for respiratory disorders in Shanghai: A time-series study[J]. Journal of Environmental and Occupational Medicine, 2021, 38(1): 23-29. DOI: 10.13213/j.cnki.jeom.2021.20136

Associations between air pollutants and daily hospital visits in children for respiratory disorders in Shanghai: A time-series study

  • Background Air pollutants have a short-term impact on respiratory health and children are more sensitive to air pollutants.
    Objective This study investigates the associations between six routine monitoring pollutantscoarse particulate matters (PM10), fine particulate matters (PM2.5), ozone (O3), carbon dioxide (CO), sulfur dioxide (SO2), and nitrogen dioxide (NO2) and daily hospital visits for childhood respiratory disorders in Shanghai.
    Methods We collected outpatient visits for childhood respiratory disorders from Children's Hospital of Fudan University, and air pollutant concentration data and meteorological data of Shanghai from January 1, 2014 to May 31, 2016. We used generalized additive model with Poisson regression to quantify the associations between six air pollutants and daily hospital visits for respiratory disorders after adjusting for secular trend, day-of-the-week effect, holiday effect, and meteorological variables. The effects of pollutants on children of different genders were compared as well.
    Results During the study period, the daily average concentrations of PM10, PM2.5, O3, CO, SO2, and NO2 were 70.5, 53.2, 101.8, 812.7, 17.2, and 46.2 μg·m-3, respectively; the unqualified rates of PM10, PM2.5, O3, NO2 were 4.20%, 20.09%, 11.58%, and 7.04%, respectively, and SO2 and CO did not exceed the national limits. The single-pollutant model results showed that with every 10 μg·m-3 increase of PM10, PM2.5, O3, and SO2, the RRs of children's respiratory outpatient visits were 1.002 2 (lag4, 95%CI:1.0017-1.0026), 1.0019 (lag4, 95%CI:1.0014-1.0024), 1.001 9 (lag2, 95% CI:1.001 4-1.002 5), and 1.005 2 (lag4, 95% CI:1.003 2-1.007 2), respectively. With every 10 μg·m-3 increase of NO2, the outpatient visits of boys increased by 0.12% (lag2, RR=1.001 2, 95% CI:1.000 1-1.002 4). Girls (lag4, RR=1.002 7, 95% CI:1.001 9-1.003 5) were found slightly more sensitive to O3 exposure than boys (lag2, RR=1.001 8, 95% CI:1.001 1-1.002 5) in outpatient visits. The effect of CO on boys was statistically significant at lag1 and lag2 (P < 0.05), while that of girls was statistically significant at lag1, lag2, and lag3 (P < 0.05). The effect of SO2 on boys was statistically significant at lag2, lag3, and lag4 (P < 0.05), but only at lag4 for girls (P < 0.05). The results of double-pollutant model showed that the RR of O3 did not change significantly after the other five pollutants were introduced into the model; when PM2.5 and PM10 were introduced into the model, the effects of all pollutants except O3 changed greatly.
    Conclusion The increase of SO2, O3, PM10, and PM2.5 concentrations in Shanghai may lead to the increase of daily hospital visits for childhood respiratory disorders with lag effects. NO2, O3, CO, and SO2 have different effects on boys and girls. Air pollutants may have complex effects on children's respiratory health due to their possible interactions.
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