Yabin Hu1, Zhiwei Xu2, Fan Jiang3, Shenghui Li4, Shijian Liu1, Meiqin Wu5, Chonghuai Yan5, Jianguo Tan6, Guangjun Yu7, Yi Hu7, Yong Yin8, Shilu Tong9. 1. Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China. 2. School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. 3. Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China. 4. School of Public Health, Shanghai Jiaotong University, Shanghai, China. 5. Shanghai Key Laboratory of Environmental and Child Health, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. 6. Shanghai Climate Center, Shanghai, China. 7. Shanghai Children's Hospital, Shanghai, China. 8. Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China. Electronic address: yinyong@scmc.com.cn. 9. Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China; School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia; School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China. Electronic address: tongshilu@scmc.com.cn.
Abstract
BACKGROUND: Non-optimal weather conditions and air pollution pose a significant threat to children's health. However, the relative impact of different environmental exposures on childhood allergic diseases remains unclear. OBJECTIVES: This study aimed to quantify the relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China. METHODS: Data on clinical visits due to childhood asthma, allergic rhinitis (AR) and atopic dermatitis (AD) from 2007 to 2017 in Shanghai were collected from Shanghai Children's Medical Center and Xinhua Hospital. The meteorological data (i.e. daily mean temperature, temperature difference, air pressure, air pressure difference, precipitation, relative humidity, sunshine and wind speed) for the same period were obtained from the Shanghai Meteorological Center. Air pollution data (PM10, PM2.5, NO2, SO2 and O3) were provided by the Shanghai Environmental Protection Agency. Quasi-Poisson regression with distributed lag non-linear models and Poisson regression combined with generalized linear models were used to assess the relative impact of meteorological factors and air pollutants on childhood allergic diseases. RESULTS: There were a total of 2,410,392 cases of childhood allergic diseases, including 975,771 asthma, 646,975 AR and 787,646 AD. Most of environmental factors were significantly associated with childhood allergic diseases. Daily mean temperature (standard β: -0.076 (95% confidence interval (CI): -0.086, -0.067)) and air pressure (standard β: 0.075 (95% CI: 0.068, 0.082)) seemed to play more important roles than other environmental factors in the occurrence of these allergic diseases. The numbers of these allergic diseases attributable to an interquartile range (IQR) change in meteorological factors also appeared to be greater than those attributable to an IQR change in air pollutants. CONCLUSIONS: Both climatic variation and air pollution were associated with childhood allergic diseases, but the former appeared to play a more important role in the occurrence of these diseases. These findings may have significant implications for the development of tailored strategies to prevent these rapidly-increasing diseases worldwide.
BACKGROUND: Non-optimal weather conditions and air pollution pose a significant threat to children's health. However, the relative impact of different environmental exposures on childhood allergic diseases remains unclear. OBJECTIVES: This study aimed to quantify the relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China. METHODS: Data on clinical visits due to childhood asthma, allergic rhinitis (AR) and atopic dermatitis (AD) from 2007 to 2017 in Shanghai were collected from Shanghai Children's Medical Center and Xinhua Hospital. The meteorological data (i.e. daily mean temperature, temperature difference, air pressure, air pressure difference, precipitation, relative humidity, sunshine and wind speed) for the same period were obtained from the Shanghai Meteorological Center. Air pollution data (PM10, PM2.5, NO2, SO2 and O3) were provided by the Shanghai Environmental Protection Agency. Quasi-Poisson regression with distributed lag non-linear models and Poisson regression combined with generalized linear models were used to assess the relative impact of meteorological factors and air pollutants on childhood allergic diseases. RESULTS: There were a total of 2,410,392 cases of childhood allergic diseases, including 975,771 asthma, 646,975 AR and 787,646 AD. Most of environmental factors were significantly associated with childhood allergic diseases. Daily mean temperature (standard β: -0.076 (95% confidence interval (CI): -0.086, -0.067)) and air pressure (standard β: 0.075 (95% CI: 0.068, 0.082)) seemed to play more important roles than other environmental factors in the occurrence of these allergic diseases. The numbers of these allergic diseases attributable to an interquartile range (IQR) change in meteorological factors also appeared to be greater than those attributable to an IQR change in air pollutants. CONCLUSIONS: Both climatic variation and air pollution were associated with childhood allergic diseases, but the former appeared to play a more important role in the occurrence of these diseases. These findings may have significant implications for the development of tailored strategies to prevent these rapidly-increasing diseases worldwide.
Authors: Maria Elisa Di Cicco; Giuliana Ferrante; Doriana Amato; Antonino Capizzi; Carlo De Pieri; Valentina Agnese Ferraro; Maria Furno; Valentina Tranchino; Stefania La Grutta Journal: Int J Environ Res Public Health Date: 2020-07-24 Impact factor: 3.390
Authors: Ji Zhou; Ruoyi Lei; Jianming Xu; Li Peng; Xiaofang Ye; Dandan Yang; Sixu Yang; Yong Yin; Renhe Zhang Journal: Int J Environ Res Public Health Date: 2022-09-09 Impact factor: 4.614
Authors: Lyudmila V Veremchuk; Elena E Mineeva; Tatyana I Vitkina; Elena A Grigorieva; Tatyana A Gvozdenko; Kirill S Golokhvast Journal: J Environ Health Sci Eng Date: 2020-02-19