The influence of air pollution on the health of primary school students

CHEN Shuchang; XU Hong; LIU Weiyan; XU Shanshan; LYU Ye; ZHANG Wenhui

doi:10.16835/j.cnki.1000-9817.2021.10.028

Volume 42 Issue 10

Oct. 2021

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2021 > 42(10): 1560-1563，1567

CHEN Shuchang, XU Hong, LIU Weiyan, XU Shanshan, LYU Ye, ZHANG Wenhui. The influence of air pollution on the health of primary school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(10): 1560-1563，1567. doi: 10.16835/j.cnki.1000-9817.2021.10.028

Citation:

CHEN Shuchang, XU Hong, LIU Weiyan, XU Shanshan, LYU Ye, ZHANG Wenhui. The influence of air pollution on the health of primary school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(10): 1560-1563，1567. doi: 10.16835/j.cnki.1000-9817.2021.10.028

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The influence of air pollution on the health of primary school students

doi: 10.16835/j.cnki.1000-9817.2021.10.028

1.
The Dean's Office Hangzhou Center for Disease Control and Prevention, Hangzhou(310021), China

Received Date: 2021-04-25
Rev Recd Date: 2021-05-28

Available Online: 2021-10-25

Publish Date: 2021-10-25

Abstract

Abstract

Objective To investigate the effects of ambient air pollution on the school-age children's diseases, symptoms and school absence, and to provide a reference for preventing the harmful effect of air pollution on students. Methods Health questionnaires surveys were conducted among 792 students of the fourth grade in a primary school in Hangzhou, and the incidence of diseases and symptoms were continuously monitored every day during the winter of 2014-2017. The generalized additive model based on Poisson regression was used to analyze the health effects caused by single pollution. The multivariate Logistic regression model was used to analyze the comprehensive effects of family, living environment and air pollution on student health. Results Totally 415 students(52.4%) had a history of diseases and 265 students(33.5%) had a history of allergy. During the investigation, the average concentrations of PM_2.5, PM₁₀, SO₂ and NO₂ were (81.0±2.8) (122.2±3.9) (17.9±0.6) and (68.9±1.4)μg/m³. Strongest associations were found for lag 3 day of exposure among PM_2.5, PM₁₀ and NO₂ on illness and absence. Increases of 10 μg/m³ in PM_2.5, PM₁₀ and NO₂ were associated with 1.02(95%CI=1.01-1.02), 1.04(95%CI=1.03-1.06) and 1.03(95%CI=1.02-1.04) increases in daily illness rates. SO₂ lag for 5 days had the most significant effect on students' health. Father's education was the protective factor for illness (OR=0.83) and symptoms(OR=0.84). The risk factors for symptoms included furniture replacement within one year(OR=1.78), pet feeding(OR=1.94), respiratory infections within one year(OR=1.82), allergies rhinitis(OR=2.24), family history with coronary heart disease/hypertension(OR=1.46), indoor activity time (OR=1.02) and atmospheric PM₁₀ concentration(OR=1.09)(P < 0.05). Conclusion The increase of air pollution concentration has an impact on the illness, symptoms and absence from school, and there is a lag effect. Father's education is a protective factor for the health of students. Indoor pollution and outdoor air pollution can lead to the occurrence of illness and symptoms.
- Air pollution,
- Health status,
- Regression analysis,
- Students

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References(25)

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