메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
대한이비인후과학회 Clinical and Experimental Otorhinolaryngology Clinical and Experimental Otorhinolaryngology 제9권 제3호
발행연도
2019.1
수록면
294 - 300 (7page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objectives. The effects of air pollutants on upper airway disease development have been seldom studied. In this study, we evaluated the effects of air pollution on the prevalence of ENT diseases. Methods. We identified cases of ENT disease occurring in 2009, as recorded by the Korea National Health and Nutrition Examination Survey, and explored their associations with the levels of five air pollutants: sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), carbon monoxide (CO), and particulate matter (PM10 particles; particulates ≤10 μm in aerodynamic diameter). Subjects diagnosed with at least one of the five studied ENT diseases were included in analysis, but those aged under 19 years were excluded. Linear associations between ENT disease frequency and pollutant levels were evaluated by calculating Spearman correlations. After adjusting for age, gender, and geographic region, multivariate logistic regression was used to obtain odds ratios (OR) with 95% confidence intervals (CI). Results. A total of 7,399 subjects with ENT diseases were identified. A linear association was evident between PM10 concentration and the frequency of septal deviation (Spearman coefficient, 0.507; P=0.045). After adjustment, the PM10 level was associated with high odds ratios for chronic rhinosinusitis (1.22; 95% CI, 1.02 to 1.46) and septal deviation (1.43; 95% CI, 1.22 to 1.67). Both of these conditions were more prevalent in males. Conclusion. We found that increased ambient concentrations of PM10 particles were clearly associated with increased the risk of chronic rhinosinusitis and septal deviation; the exposure-response relationship was definitive.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0