Peng Lu1, Yongming Zhang2, Jiangtao Lin3, Guoxin Xia4, Wenyi Zhang5, Luke D Knibbs6, Geoffrey G Morgan7, Bin Jalaludin8, Guy Marks9, Michael Abramson10, Shanshan Li11, Yuming Guo12. 1. Department of Epidemiology, School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. 2. Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Beijing, China. 3. Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Beijing, China. Electronic address: jiangtao_l@263.net. 4. School of Medicine, Binzhou Medical University, Yantai, Shandong, China. 5. Center for Disease Surveillance and Research, Institute for Disease Control and Prevention of Chinese People's Liberation Army, Beijing, China. 6. School of Public Health, University of Queensland, Brisbane, Queensland, Australia. 7. School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, New South Wales, Australia. 8. School of Public Health and Community Medicine, University of New South Wales, Sydney, New South Wales, Australia. 9. South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia. 10. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. 11. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. Electronic address: Shanshan.Li@monassh.edu. 12. Department of Epidemiology, School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. Electronic address: Yuming.Guo@monash.edu.
Abstract
BACKGROUND: The proportion of asthma patients with mild to moderate exacerbations is far greater than the number who experience episodes that are severe enough to require emergency room visits or hospital admission. However the routinely collected data from hospitals is absent in the past. OBJECTIVE: To evaluate associations between short-term exposures to air pollutants and hospital outpatient visits for asthma in China. METHODS: We obtained data for 143,057 asthma outpatient visits from the largest hospitals in 17 Chinese cities, between Jan 01 2013 and Dec 31 2015. We used daily concentrations of air pollutants measured by the China National Environmental Monitoring Centre. We used a time-stratified case-crossover design, and fitted conditional logistic regression models to determine the associations. RESULTS: Particulate matter ≤10μm in diameter (PM10) and nitrogen dioxide (NO2) were associated with increased risks of hospital outpatient visits for asthma on the same day, while the effects were delayed for particulate matter ≤2.5μm in diameter (PM2.5) and sulphur dioxide (SO2). For the cumulative effect model at lag05 days, 10 μg/m3 increase in air pollutants concentrations were correlated with hospital outpatient visits for asthma with odds ratios (ORs) and 95% confidence intervals 1.004 (1.000-1.008) for PM2.5, 1.005 (1.002-1.008) for PM10, 1.030 (1.021-1.040) for NO2, and 1.015 (1.008-1.021) for SO2. Almost one in nine (10.9%; 7.7, 13.9%) hospital outpatient visits for asthma were attributable to NO2. CONCLUSION: Short-term exposures to PM2.5, PM10, NO2 and SO2 were associated with hospital outpatient visits for asthma in China.
BACKGROUND: The proportion of asthmapatients with mild to moderate exacerbations is far greater than the number who experience episodes that are severe enough to require emergency room visits or hospital admission. However the routinely collected data from hospitals is absent in the past. OBJECTIVE: To evaluate associations between short-term exposures to air pollutants and hospital outpatient visits for asthma in China. METHODS: We obtained data for 143,057 asthmaoutpatient visits from the largest hospitals in 17 Chinese cities, between Jan 01 2013 and Dec 31 2015. We used daily concentrations of air pollutants measured by the China National Environmental Monitoring Centre. We used a time-stratified case-crossover design, and fitted conditional logistic regression models to determine the associations. RESULTS: Particulate matter ≤10μm in diameter (PM10) and nitrogen dioxide (NO2) were associated with increased risks of hospital outpatient visits for asthma on the same day, while the effects were delayed for particulate matter ≤2.5μm in diameter (PM2.5) and sulphur dioxide (SO2). For the cumulative effect model at lag05 days, 10 μg/m3 increase in air pollutants concentrations were correlated with hospital outpatient visits for asthma with odds ratios (ORs) and 95% confidence intervals 1.004 (1.000-1.008) for PM2.5, 1.005 (1.002-1.008) for PM10, 1.030 (1.021-1.040) for NO2, and 1.015 (1.008-1.021) for SO2. Almost one in nine (10.9%; 7.7, 13.9%) hospital outpatient visits for asthma were attributable to NO2. CONCLUSION: Short-term exposures to PM2.5, PM10, NO2 and SO2 were associated with hospital outpatient visits for asthma in China.
Authors: Piotr Dąbrowiecki; Andrzej Chciałowski; Agata Dąbrowiecka; Artur Badyda Journal: Int J Environ Res Public Health Date: 2022-05-14 Impact factor: 4.614
Authors: K Miyazaki; K Bowman; T Sekiya; Z Jiang; X Chen; H Eskes; M Ru; Y Zhang; D Shindell Journal: Geophys Res Lett Date: 2020-10-06 Impact factor: 4.720