Qian Sun1, Cong Liu2, Renjie Chen2, Can Wang1, Jiading Li3, Jian Sun1, Haidong Kan2, Jingyan Cao3, Hongjian Bai4. 1. Department of Respiratory Medicine, the First People's Hospital of Yancheng, the Fourth Affiliated Hospital of Nantong University, Jiangsu Province 224006, China. 2. School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China. 3. Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First People's Hospital of Yancheng, Jiangsu Province 224006, China. 4. Department of Respiratory Medicine, the First People's Hospital of Yancheng, the Fourth Affiliated Hospital of Nantong University, Jiangsu Province 224006, China. Electronic address: Bhj1066@139.com.
Abstract
BACKGROUND: Epidemiological evidence on the association between short-term exposure to fine particulate matter (PM2.5) air pollution and acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is limited in China. OBJECTIVES: To explore the associations between PM2.5 and AECOPD in Yancheng, China from 2015 to 2017. METHODS: In this time-series study, we used a generalized linear model with quasi-Poisson regression to investigate the association between PM2.5 and AECOPD admitted in two major hospitals in Yancheng. We tested the robustness of the associations using two-pollutant models and examined the potential effect modification by age, gender and season via stratification analyses. Lastly, we fitted the concentration-response curves. RESULTS: We identified a total of 4761 AECOPD inpatients during the study period. The average daily-mean PM2.5 concentration was 45.2 μg/m3. Each 10 μg/m3 increase in PM2.5 concentration on the concurrent day of the onset of AECOPD was associated with a 1.05% (95% confidence interval: 0.14%, 1.96%) increase in AECOPD. The association was robust to the adjustment of ozone, but not to sulfur dioxide, nitrogen dioxide, and carbon monoxide. The association was larger in females, elderly patients, and was restricted within the cold season, but all between-group differences were insignificant. The concentration-response relationship curves were generally linear but flatted at concentrations over 40 μg/m3. CONCLUSIONS: This study demonstrated a higher risk of AECOPD associated with present-day PM2.5 exposure in a Chinese city. We further provided important information on lag patterns, susceptible subgroups, sensitive seasons, as well as the characteristics of the concentration-response relationship curves.
BACKGROUND: Epidemiological evidence on the association between short-term exposure to fine particulate matter (PM2.5) air pollution and acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is limited in China. OBJECTIVES: To explore the associations between PM2.5 and AECOPD in Yancheng, China from 2015 to 2017. METHODS: In this time-series study, we used a generalized linear model with quasi-Poisson regression to investigate the association between PM2.5 and AECOPD admitted in two major hospitals in Yancheng. We tested the robustness of the associations using two-pollutant models and examined the potential effect modification by age, gender and season via stratification analyses. Lastly, we fitted the concentration-response curves. RESULTS: We identified a total of 4761 AECOPD inpatients during the study period. The average daily-mean PM2.5 concentration was 45.2 μg/m3. Each 10 μg/m3 increase in PM2.5 concentration on the concurrent day of the onset of AECOPD was associated with a 1.05% (95% confidence interval: 0.14%, 1.96%) increase in AECOPD. The association was robust to the adjustment of ozone, but not to sulfur dioxide, nitrogen dioxide, and carbon monoxide. The association was larger in females, elderly patients, and was restricted within the cold season, but all between-group differences were insignificant. The concentration-response relationship curves were generally linear but flatted at concentrations over 40 μg/m3. CONCLUSIONS: This study demonstrated a higher risk of AECOPD associated with present-day PM2.5 exposure in a Chinese city. We further provided important information on lag patterns, susceptible subgroups, sensitive seasons, as well as the characteristics of the concentration-response relationship curves.
Authors: Mahssa Mohebbichamkhorami; Mohsen Arbabi; Mohsen Mirzaei; Ali Ahmadi; Mohammad Sadegh Hassanvand; Hamid Rouhi Journal: J Environ Health Sci Eng Date: 2020-10-03
Authors: Junfang Cai; Chaoqiong Peng; Shuyuan Yu; Yingxin Pei; Ning Liu; Yongsheng Wu; Yingbin Fu; Jinquan Cheng Journal: Int J Environ Res Public Health Date: 2019-01-31 Impact factor: 3.390