Respiratory Research | |
Long-term exposure to PM10 and NO2 in relation to lung function and imaging phenotypes in a COPD cohort | |
Sung Ok Kwon1  Sun-Young Kim2  Young-Ji Han3  Woo Jin Kim4  Seok Ho Hong4  So Hyeon Bak5  Junghyun Kim6  Mi Kyeong Lee7  Stephanie J. London7  | |
[1] Biomedical Research Institutue, Kangwon National University Hospital, Chuncheon, South Korea;Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, South Korea;Department of Environmental Science, Kangwon National University, Chuncheon, South Korea;Department of Internal Medicine and Environemntal Health Center, Kangwon National University, Chuncheon, South Korea;Department of Radiology, School of Medicine, Kangwon National University, Chuncheon, South Korea;Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, South Korea;National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA; | |
关键词: Air pollution; COPD; CT; Lung function; Traffic; | |
DOI : 10.1186/s12931-020-01514-w | |
来源: Springer | |
【 摘 要 】
BackgroundAmbient air pollution can contribute to the development and exacerbation of COPD. However, the influence of air pollution on objective COPD phenotypes, especially from imaging, is not well studied. We investigated the influence of long-term exposure to air pollution on lung function and quantitative imaging measurements in a Korean cohort of participants with and without COPD diagnosis.MethodsStudy participants (N = 457 including 296 COPD cases) were obtained from the COPD in Dusty Areas (CODA) cohort. Annual average concentrations of particulate matter less than or equal to 10 μm in diameter (PM10) and nitrogen dioxide (NO2) were estimated at the participants’ residential addresses using a spatial air pollution prediction model. All the participants underwent volumetric computerized tomography (CT) and spirometry measurements and completed survey questionnaires. We examined the associations of PM10 and NO2 with FVC, FEV1, emphysema index, and wall area percent, using linear regression models adjusting for age, gender, education, smoking, height, weight, and COPD medication.ResultsThe age of study participants averaged 71.7 years. An interquartile range difference in annual PM10 exposure of 4.4 μg/m3 was associated with 0.13 L lower FVC (95% confidence interval (CI), − 0.22- -0.05, p = 0.003). Emphysema index (mean = 6.36) was higher by 1.13 (95% CI, 0.25–2.02, p = 0.012) and wall area percent (mean = 68.8) was higher by 1.04 (95% CI, 0.27–1.80, p = 0.008). Associations with imaging phenotypes were not observed with NO2.ConclusionsLong-term exposure to PM10 correlated with both lung function and COPD-relevant imaging phenotypes in a Korean cohort.
【 授权许可】
CC BY
【 预 览 】
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