Xu Wang1, Zhiwei Xu2, Hong Su3, Hung Chak Ho4, Yimeng Song5, Hao Zheng6, Mohammad Zahid Hossain7, Md Alfazal Khan8, Daniel Bogale9, Heng Zhang10, Jing Wei11, Jian Cheng12. 1. Department of Science and Education, Children's Hospital of Anhui Medical University (Anhui Provincial Children's Hospital), Hefei, Anhui, China. 2. School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia. 3. School of Public Health, Department of Epidemiology and Biostatistics, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China. 4. Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China. 5. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China; Smart Cities Research Institute, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China. 6. Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China. 7. International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh. 8. Matlab Health Research Centre, icddr,b, Dhaka, Bangladesh. 9. College of Health Sciences, Arsi University, Asela, Ethiopia. 10. Sir Run Run Shaw Hospital (SRRSH), affiliated with the Zhejiang University School of Medicine, Zhejiang, China. 11. State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA. Electronic address: weijing_rs@163.com. 12. School of Public Health, Department of Epidemiology and Biostatistics, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China. Electronic address: jiancheng_cchh@163.com.
Abstract
BACKGROUND: Smaller sizes of ambient particulate matter (PM) can be more toxic and can be breathed into lower lobes of a lung. Children are particularly vulnerable to PM air pollution because of their adverse effects on both lung functions and lung development. However, it remains unknown whether a smaller PM has a greater short-term impact on childhood pneumonia. AIMS: We compared the short-term effects on childhood pneumonia from PM with aerodynamic diameters ≤1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10), respectively. METHODS: Daily time-series data (2016-2018) on pneumonia hospitalizations in children aged 0-17 years, records of air pollution (PM1, PM2.5, PM10, and gaseous pollutants), and weather conditions were obtained for Hefei, China. Effects of different PM were quantified using a quasi-Poisson generalized additive model after controlling for day of the week, holiday, seasonality and long-term time trend, and weather variables. Stratified analyses (gender, age, and season) were also performed. RESULTS: For each 10 μg/m3 increase in PM1, PM2.5, and PM10 concentrations over the past three days (lag 0-2), the risk of pneumonia hospitalizations increased by 10.28% (95%CI: 5.88%-14.87%), 1.21% (95%CI: 0.34%-2.09%), and 1.10% (95%CI: 0.44%-1.76%), respectively. Additionally, both boys and girls were at risk of PM1 effects, while PM2.5 and PM10 effects were only seen in boys. Children aged ≤12 months and 1-4 years were affected by PM1, but PM2.5 and PM10 were only associated with children aged 1-4 years. Furthermore, PM1 effects were greater in autumn and winter, while greater PM2.5 and PM10 effects were evident only in autumn. CONCLUSION: This study suggests a greater short-term impact on childhood pneumonia from PM1 in comparison to PM2.5 and PM10. Given the serious PM pollution in China and other rapid developing countries due to various combustions and emissions, more investigations are needed to determine the impact of different PM on childhood respiratory health.
BACKGROUND: Smaller sizes of ambient particulate matter (PM) can be more toxic and can be breathed into lower lobes of a lung. Children are particularly vulnerable to PM air pollution because of their adverse effects on both lung functions and lung development. However, it remains unknown whether a smaller PM has a greater short-term impact on childhood pneumonia. AIMS: We compared the short-term effects on childhood pneumonia from PM with aerodynamic diameters ≤1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10), respectively. METHODS: Daily time-series data (2016-2018) on pneumonia hospitalizations in children aged 0-17 years, records of air pollution (PM1, PM2.5, PM10, and gaseous pollutants), and weather conditions were obtained for Hefei, China. Effects of different PM were quantified using a quasi-Poisson generalized additive model after controlling for day of the week, holiday, seasonality and long-term time trend, and weather variables. Stratified analyses (gender, age, and season) were also performed. RESULTS: For each 10 μg/m3 increase in PM1, PM2.5, and PM10 concentrations over the past three days (lag 0-2), the risk of pneumonia hospitalizations increased by 10.28% (95%CI: 5.88%-14.87%), 1.21% (95%CI: 0.34%-2.09%), and 1.10% (95%CI: 0.44%-1.76%), respectively. Additionally, both boys and girls were at risk of PM1 effects, while PM2.5 and PM10 effects were only seen in boys. Children aged ≤12 months and 1-4 years were affected by PM1, but PM2.5 and PM10 were only associated with children aged 1-4 years. Furthermore, PM1 effects were greater in autumn and winter, while greater PM2.5 and PM10 effects were evident only in autumn. CONCLUSION: This study suggests a greater short-term impact on childhood pneumonia from PM1 in comparison to PM2.5 and PM10. Given the serious PM pollution in China and other rapid developing countries due to various combustions and emissions, more investigations are needed to determine the impact of different PM on childhood respiratory health.
Authors: Sameh M M Alnwisi; Chengwei Chai; Bipin Kumar Acharya; Aaron M Qian; Shiyu Zhang; Zilong Zhang; Michael G Vaughn; Hong Xian; Qinzhou Wang; Hualiang Lin Journal: Ecotoxicol Environ Saf Date: 2022-04-19 Impact factor: 7.129