Effects of exposure to ambient air pollution on pulmonary function impairment in Korea: the 2007-2017 Korea National Health and Nutritional Examination Survey
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
OBJECTIVES: This study aimed to investigate the association between pulmonary function and air pollution using 2007-2017 data from the Korea National Health and Nutrition Examination Survey, a nationwide cross-sectional representative survey. METHODS: A total of 27,378 participants that had sampling weights from a complex sample survey were included in this study. Using the data for forced expiratory volume in 1 second and forced vital capacity, the participants with pulmonary function impairment were classified according to the criteria of restrictive lung disease and chronic obstructive pulmonary disease (COPD). Exposure to ambient air pollution was estimated using the Community Multiscale Air Quality model. Multivariate linear and logistic regression analyses with complex samples were used to determine the associations between pulmonary function and air pollution after adjusting for covariates. RESULTS: In total, 13.2% of the participants aged > 40 years had COPD, and 10.7% were classified as being in the restrictive lung disease group. According to the multivariate logistic regression model, the odds ratios for the fourth quartiles of particulate matter less than 10 μm in diameter (PM10), particulate matter less than 2.5 μm in diameter (PM2.5) and carbon monoxide (CO) with a 2-year lag period were 1.203 (95% confidence interval [CI], 1.036 to 1.396), 1.283 (95% CI, 1.101 to1.495), and 1.292 (95% CI, 1.110 to 1.504), respectively, using the restrictive lung disease group as an event after adjusting for covariates in the complex sample. CONCLUSIONS: Long-term exposure to PM10, PM2.5, and CO was significantly associated with pulmonary function, especially restrictive lung disease.
Abstract
OBJECTIVES: This study aimed to investigate the association between pulmonary function and air pollution using 2007-2017 data from the Korea National Health and Nutrition Examination Survey, a nationwide cross-sectional representative survey. METHODS: A total of 27,378 participants that had sampling weights from a complex sample survey were included in this study. Using the data for forced expiratory volume in 1 second and forced vital capacity, the participants with pulmonary function impairment were classified according to the criteria of restrictive lung disease and chronic obstructive pulmonary disease (COPD). Exposure to ambient air pollution was estimated using the Community Multiscale Air Quality model. Multivariate linear and logistic regression analyses with complex samples were used to determine the associations between pulmonary function and air pollution after adjusting for covariates. RESULTS: In total, 13.2% of the participants aged > 40 years had COPD, and 10.7% were classified as being in the restrictive lung disease group. According to the multivariate logistic regression model, the odds ratios for the fourth quartiles of particulate matter less than 10 μm in diameter (PM10), particulate matter less than 2.5 μm in diameter (PM2.5) and carbon monoxide (CO) with a 2-year lag period were 1.203 (95% confidence interval [CI], 1.036 to 1.396), 1.283 (95% CI, 1.101 to1.495), and 1.292 (95% CI, 1.110 to 1.504), respectively, using the restrictive lung disease group as an event after adjusting for covariates in the complex sample. CONCLUSIONS: Long-term exposure to PM10, PM2.5, and CO was significantly associated with pulmonary function, especially restrictive lung disease.
참고문헌 (30)
- Diaz-Guzman E, "Epidemiology and prevalence of chronic obstructive pulmonary disease", Clin Chest Med, 35, pp.7~16 (2014)
- "Reports of Korea National Health and Nutrition Examination Survey"[URL]
- Ko FW, "Air pollution and chronic obstructive pulmonary disease", Respirology, 17, pp.395~401 (2012)
- Jun T, "Air pollution, respiratory illness and behavioral adaptation : evidence from South Korea", PLoS One, 14, pp.e0221098~ (2019)
- Joo YH, "Association between chronic laryngitis and particulate matter based on the Korea National Health and Nutrition Examination Survey 2008-2012", PLoS One, 10, pp.e0133180~ (2015)
- Gan WQ, "Associations of ambient air pollution with chronic obstructive pulmonary disease hospitalization and mortality", Am J Respir Crit Care Med, 187, pp.721~727 (2013)
- Guerra S, "Morbidity and mortality associated with the restrictive spirometric pattern : a longitudinal study", Thorax, 65, pp.499~504 (2010)
- Kim H, "Effects of longterm exposure to air pollution on all-cause mortality and causespecific mortality in seven major cities of South Korea : Korean national health and nutritional examination surveys with mortality follow-up", Environ Res, 192, pp.110290~ (2021)
- Choi HS, "Vitamin D insufficiency in Korea--a greater threat to younger generation : the Korea National Health and Nutrition Examination Survey(KNHANES)2008", J Clin Endocrinol Metab, 96, pp.643~651 (2011)
- Kim SD, "Association between sitting time and orthopedic conditions in Korean older adults", Geriatr Nurs, 40, pp.629~633 (2019)
- Yoo KH, "Prevalence of chronic obstructive pulmonary disease in Korea : the fourth Korean National Health and Nutrition Examination Survey, 2008", Respirology, 16, pp.659~665 (2011)
- Vogelmeier CF, "Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary", Am J Respir Crit Care Med, 195, pp.557~582 (2017)
- Hwang MJ, "Impacts of ambient air pollution on glucose metabolism in Korean adults : a Korea National Health and Nutrition Examination Survey study", Environ Health, 19, pp.70~ (2020)
- 최대련, "지표 측정자료를 활용한 동아시아 자료동화 대기질 예보 시스템 개발", 한국대기환경학회지, 35(1), pp.60~85 (2019), 한국대기환경학회[DOI]
- 황명재, "Ambient air quality and subjective stress level using Community Health Survey data in Korea", Epidemiology and Health, 40, pp.1~9 (2018), 한국역학회[DOI]
- "Real-time air quality"[URL]
- 황명재, "Establishment of the Korea National Health and Nutrition Examination Survey air pollution study dataset for the researchers on the health impact of ambient air pollution", Epidemiology and Health, 43, pp.1~7 (2021), 한국역학회[DOI]
- Hwayeon Park, "Prevalence of Chronic Obstructive Lung Disease in Korea Using Data from the Fifth Korea National Health and Nutrition Examination Survey", Korean Journal of Family Medicine, 36(3), pp.128~134 (2015), 대한가정의학회
- 박시우, "A cross-sectional study on the pulmonary function of residents in two urban areas with different PM10 concentrations: data from the fourth Korea national health and nutrition examination survey (KNHANES) 2007–2009", Annals of Occupational and Environmental Medicine, 30(3), pp.1~12 (2018), 대한직업환경의학회[DOI]
- Kodia K, "Implementation of an enhanced recovery after thoracic surgery care pathway for thoracotomy patients-achieving better pain control with less(schedule II)opioid utilization", J Thorac Dis, 13, pp.3948~3959 (2021)
- "Atmospheric environment standards"[URL]
- Kwon SO, "Long term exposure to PM10 and NO2 in relation to lung function and imaging phenotypes in a COPD cohort", Respir Res, 21, pp.247~ (2020)
- Motoyuki Nakao, "The Impact of Air Pollution, Including Asian Sand Dust, on Respiratory Symptoms and Health-related Quality of Life in Outpatients With Chronic Respiratory Disease in Korea: A Panel Study", 예방의학회지, 51(3), pp.130~139 (2018), 대한예방의학회
- Ali R, "Effect of diesel emissions on human health : A review", Int J Appl Eng Res, 6, pp.1333~1342 (2011)
- de Jong K, "Air pollution exposure is associated with restrictive ventilatory patterns", Eur Respir J, 48, pp.1221~1224 (2016)
- Gauderman WJ, "Association of improved air quality with lung development in children", N Engl J Med, 372, pp.905~913 (2015)
- Berend N, "Contribution of air pollution to COPD and small airway dysfunction", Respirology, 21, pp.237~244 (2016)
- Garcia-Aymerich J, "Lung function impairment, COPD hospitalisations and subsequent mortality", Thorax, 66, pp.585~590 (2011)
- Mannino DM, "Chronic obstructive pulmonary disease in the older adult: what defines abnormal lung function?", Thorax, 62, pp.237~241 (2007)
- Jia Xing, "Data Assimilation of Ambient Concentrations of Multiple Air Pollutants Using an Emission-Concentration Response Modeling Framework", Atmosphere, 11(12), pp.1289~ (2020), MDPI AG[DOI]