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
신철 (고려대학교) 백인경 (국민대학교)
저널정보
대한수면학회 sleep medicine research sleep medicine research Vol.12 No.1
발행연도
2021.1
수록면
28 - 35 (8page)

이용수

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

초록· 키워드

오류제보하기
Background and Objective There are few studies assessing diagnostic accuracy of the STOP-BANG questionnaire, which is a screening tool for detecting obstructive sleep apnea (OSA), in the general population. Our study aimed to develop a modified version of this screening questionnaire and compare its diagnostic accuracy to the standard version in general Korean adults. Methods A cross-sectional polysomnographic study was conducted among 2065 male and female participants aged 48–79 years, who were members of a population-based cohort study. Half of them were assigned to the exploratory sample and the other half to the validation sample. Results In this study, 958 individuals (487 in an exploratory sample) were identified to have OSA. To develop a model in an exploratory sample, stepwise analysis was used with information from the standard version and additional variables; snoring, witnessed breathing cessation, hypertension, body mass index > 25 kg/m2, age groups, male, diabetes, and waist circumference > 85 cm were included in a final modified model. In the evaluation of diagnostic accuracy in a validation sample, the modified model showed higher sensitivity [79.1%, 95% confidence interval (CI): 77.3, 80.9] in detecting severe OSA than that of the standard version model (66.0%, 95% CI: 64.0, 68.0). Overall accuracy indicated as area under the receiver-operating characteristic curve for the modified model was greater (p = 0.001) than that of the standard version model. Conclusions These findings suggest that the modified version of the STOP-BANG questionnaire may be useful in detecting severe OSA in general adults.

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