Autor: |
Tang HR; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China., Zhang L; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China., Zhang YQ; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China., Wu CS; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China. |
Jazyk: |
čínština |
Zdroj: |
Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] [Zhonghua Yu Fang Yi Xue Za Zhi] 2024 Jun 06; Vol. 58 (6), pp. 830-838. |
DOI: |
10.3760/cma.j.cn112150-20230915-00192 |
Abstrakt: |
To evaluate the modification of allergic dermatitis on the association between PM exposure and allergic rhinitis in preschool children. This cross-sectional study was based on a questionnaire conducted between June 2019 and June 2020 to caregivers of children aged 3 to 6 years in the kindergartens of 7 Chinese cities to collect information on allergic rhinitis and allergic dermatitis. A mature machine learning-based space-time extremely randomized trees model was applied to estimate early-life, prenatal, and first-year exposure of PM 1 , PM 2.5 and PM 10 at 1 km×1 km resolution. A combination of multilevel logistic regression and restricted cubic spline functions was used to quantitatively assess whether allergic dermatitis modifies the associations between size-specific PM exposure and the risk of childhood allergic rhinitis. The results showed that out of 28 408 children, 14 803 (52.1%) were boys and 13 605 (47.9%) were girls; the age of children ranged from 3.1 to 6.8 years, with a mean age of (4.9±0.9) years, of which 3 586 (12.6%) were diagnosed with allergic rhinitis. Among all children, 17 832 (62.8%) were breastfed for more than 6 months and 769 (2.7%) had parental history of atopy. A total of 21 548 children (75.9%) had a mother with an educational level of university or above and 7 338 (29.6%) had passive household cigarette smoke exposure. The adjusted OR s for childhood allergic rhinitis among the children with allergic dermatitis as per interquartile range (IQR) increase in early-life PM 1 (9.8 μg/m 3 ), PM 2.5 (14.9 μg/m 3 ) and PM 10 (37.7 μg/m 3 ) were significantly higher than the corresponding OR s among the children without allergic dermatitis [ OR : 1.45, 95% CI (1.26, 1.66) vs. 1.33, 95% CI (1.20, 1.47), for PM 1 ; OR : 1.38, 95% CI (1.23, 1.56) vs. 1.32, 95% CI (1.21, 1.45), for PM 2.5 ; OR : 1.56, 95% CI (1.31, 1.86) vs. 1.46, 95% CI (1.28, 1.67), for PM 10 ]. The interactions between allergic dermatitis and size-specific PM exposure on childhood allergic rhinitis were statistically significant ( Z value=19.4, all P for interaction<0.001). The similar patterns were observed for both prenatal and first-year size-specific PM exposure and the results of the dose-response relationship were consistent with those of the logistic regression. In conclusion, allergic dermatitis, as an important part of the allergic disease progression, may modify the association between ambient PM exposure and the risk of childhood allergic rhinitis. Children with allergic dermatitis should pay more attention to minimize outdoor air pollutants exposure to prevent the further progression of allergic diseases. |
Databáze: |
MEDLINE |
Externí odkaz: |
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