Relationship between Particulate Matter (PM10) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Juwhan | - |
dc.contributor.author | Sim, Jae Kyeom | - |
dc.contributor.author | Oh, Jee Youn | - |
dc.contributor.author | Lee, Young Seok | - |
dc.contributor.author | Hur, Gyu Young | - |
dc.contributor.author | Lee, Sung Yong | - |
dc.contributor.author | Shim, Jae Jeong | - |
dc.contributor.author | Moon, Ji-yong | - |
dc.contributor.author | Min, Kyung Hoon | - |
dc.date.accessioned | 2021-08-02T09:52:20Z | - |
dc.date.available | 2021-08-02T09:52:20Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2020-03 | - |
dc.identifier.issn | 1198-2241 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/10656 | - |
dc.description.abstract | Purpose. Particulate matter (PM) is increasing every year in Asia. It is not fully understood how the airway is affected when inhaling PM. We investigated the correlation between particulate matter with a diameter of less than 10 mu m (PM10) and fractional exhaled nitric oxide (FeNO) to determine whether PM causes airway inflammation. Material and Methods. We analyzed patients who visited our outpatient clinic and tested FeNO from January 2016 to December 2017 at the Korea University Guro Hospital. PM10 data were provided by the government of the Republic of South Korea, and measuring station of PM10 is located 800 meters from the hospital. We analyzed the correlation between PM10 and FeNO by a Pearson correlation analysis and by a multivariate linear regression analysis. To identify the most correlated times, we analyzed the correlation between the FeNO and PM10 daily average from the day of visit to 4 days before visit. Results. FeNO positively correlated with PM10 at two days before hospital visit in the Pearson correlation (Pearson correlation coefficient = 0.057; P-value = 0.023) and in the multivariate linear regression analysis (B = 0.051, P-value = 0.026). If the PM10 increased by 100 mu g/m(3), the FeNO result was expected to rise to 8.3 ppb in healthy people without respiratory disease. Conclusion. The positive correlation was found in both healthy people and asthmatic patients. Therefore, PM10 can increase airway inflammation. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | HINDAWI LTD | - |
dc.title | Relationship between Particulate Matter (PM10) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Moon, Ji-yong | - |
dc.identifier.doi | 10.1155/2020/1823405 | - |
dc.identifier.scopusid | 2-s2.0-85083022516 | - |
dc.identifier.wosid | 000522959500001 | - |
dc.identifier.bibliographicCitation | CANADIAN RESPIRATORY JOURNAL, v.2020, pp.1 - 7 | - |
dc.relation.isPartOf | CANADIAN RESPIRATORY JOURNAL | - |
dc.citation.title | CANADIAN RESPIRATORY JOURNAL | - |
dc.citation.volume | 2020 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 7 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Respiratory System | - |
dc.relation.journalWebOfScienceCategory | Respiratory System | - |
dc.subject.keywordPlus | RESPIRATORY HEALTH | - |
dc.subject.keywordPlus | PERSONAL EXPOSURE | - |
dc.subject.keywordPlus | LUNG-FUNCTION | - |
dc.subject.keywordPlus | ASTHMA | - |
dc.subject.keywordPlus | POLLUTION | - |
dc.subject.keywordPlus | ASSOCIATION | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
dc.subject.keywordPlus | DISEASE | - |
dc.subject.keywordPlus | FENO | - |
dc.subject.keywordPlus | EXACERBATIONS | - |
dc.identifier.url | https://www.hindawi.com/journals/crj/2020/1823405/ | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.