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Chen PC, Mou CH, Chen CW, Hsieh DPH, Tsai SP, Wei CC, Sung FC. Roles of Ambient Temperature and PM 2.5 on Childhood Acute Bronchitis and Bronchiolitis from Viral Infection. Viruses 2022; 14:v14091932. [PMID: 36146739 PMCID: PMC9503275 DOI: 10.3390/v14091932] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/16/2022] [Accepted: 08/28/2022] [Indexed: 11/25/2022] Open
Abstract
Studies have associated the human respiratory syncytial virus which causes seasonal childhood acute bronchitis and bronchiolitis (CABs) with climate change and air pollution. We investigated this association using the insurance claims data of 3,965,560 children aged ≤ 12 years from Taiwan from 2006−2016. The monthly average incident CABs increased with increasing PM2.5 levels and exhibited an inverse association with temperature. The incidence was 1.6-fold greater in January than in July (13.7/100 versus 8.81/100), declined during winter breaks (February) and summer breaks (June−August). The highest incidence was 698 cases/day at <20 °C with PM2.5 > 37.0 μg/m3, with an adjusted relative risk (aRR) of 1.01 (95% confidence interval [CI] = 0.97−1.04) compared to 568 cases/day at <20 °C with PM2.5 < 15.0 μg/m3 (reference). The incidence at ≥30 °C decreased to 536 cases/day (aRR = 0.95, 95% CI = 0.85−1.06) with PM2.5 > 37.0 μg/m3 and decreased further to 392 cases/day (aRR = 0.61, 95% CI = 0.58−0.65) when PM2.5 was <15.0 μg/m3. In conclusion, CABs infections in children were associated with lowered ambient temperatures and elevated PM2.5 concentrations, and the high PM2.5 levels coincided with low temperature levels. The role of temperature should be considered in the studies of association between PM2.5 and CABs.
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Affiliation(s)
- Pei-Chun Chen
- Department of Public Health, China Medical University College of Public Health, Taichung 406, Taiwan
| | - Chih-Hsin Mou
- Management Office for Health Data, China Medical University Hospital, Taichung 404, Taiwan
| | - Chao W. Chen
- University of Maryland Global Campus, Adelphi, MD 20783, USA
| | - Dennis P. H. Hsieh
- Department of Environmental Toxicology, University of California, Davis, CA 95616, USA
| | - Shan P. Tsai
- School of Public Health, Texas A&M University, College Station, TX 77843, USA
| | - Chang-Ching Wei
- Department of Pediatrics, China Medical University College of Medicine, and Department of Pediatrics, Children’s Hospital of China Medical University Hospital, Taichung 404, Taiwan
| | - Fung-Chang Sung
- Management Office for Health Data, China Medical University Hospital, Taichung 404, Taiwan
- Department of Health Services Administration, China Medical University College of Public Health, Taichung 406, Taiwan
- Department of Food Nutrition and Health Biotechnology, Asia University, Taichung 413, Taiwan
- Correspondence: ; Tel.: +886-4-2296-7979 (ext. 6220); Fax: +886-4-2299-0245
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Meng X, Cao S, Li S, Yan M, Guo Q, Gong J, Liu Q, Zhang JJ, Duan X. Household environmental factors and children's respiratory health: comparison of two cross-sectional studies over 25 years in Wuhan, China. J Thorac Dis 2021; 13:4589-4600. [PMID: 34422384 PMCID: PMC8339747 DOI: 10.21037/jtd-20-2170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 04/05/2021] [Indexed: 11/24/2022]
Abstract
Background Over the recent decades, residential lifestyle and household environment have changed substantially with rapid development of industrialization and urbanization in China. Whether the prevalence of respiratory diseases changed is still lack of evidence. The objective of this study is to assess potential changes in children’s respiratory disease prevalence and associated household environmental factors in Wuhan over a 25-year time interval. Methods Two cross-sectional studies in the Period 1 (1993 to 1996) and Period 2 (2017 to 2018) were compared in this research. Elementary school children in period 1 (N=2,517) and in period 2 (N=3,152) were recruited in Wuhan, China. The respiratory health condition, home environmental factors, and family socioeconomic status of each subject were acquired through questionnaire survey using the same protocols in both periods. We used the Chi-square test to analyze the difference of household environmental factors (focused on three indoor air quality determinants) and children’s respiratory health condition between two periods. Logistic regression models were used to assess the impacts of household environmental determinants on children’s respiratory diseases and symptoms between the two studies, by adjusting a set of covariates. Results The three indoor air quality determinants have reduced substantially in prevalence from period 1 to period 2: environment tobacco smoke (ETS) from 86.6% to 45.9%, household coal use from 47.6% to 4.9%, and kitchen smoke from 58.9% to 7.3%. The prevalence of certain respiratory symptoms in children significantly decreased, such as cough with colds (51.1% to 41.6%) and phlegm with colds (22.3% to 17.7%). The prevalence of asthma was 2.5% and 2.4% and that of bronchitis was 27.1% and 29.8% in both periods. Coal use was a risk factor for asthma in period 1 (OR =2.34, 95% CI: 1.30–4.23), while it was not significantly associated with prevalence of asthma in period 2 (OR =0.60, 95% CI: 0.08–4.51). Conclusions Household indoor air quality determinants and respiratory health condition of children in Wuhan has been improved over the last 25 years. At present, kitchen smoke is an important factor affecting the prevalence of wheeze whatever child has a cold or not and reducing exposure to ETS could be beneficial to protect children to be less likely to develop bronchitis.
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Affiliation(s)
- Xin Meng
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China.,Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
| | - Sai Li
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
| | - Meilin Yan
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Qian Guo
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Qin Liu
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Junfeng Jim Zhang
- Global Health Research Center, Duke Kunshan University, Kunshan, China.,Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
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