J Rhinol > Volume 22(2); 2015
Journal of Rhinology 2015;22(2):96-102.
Published online November 30, 2015.
DOI: https://doi.org/10.18787/jr.2015.22.2.96   
Correlation Analysis between Anthropometric Measurement and the Results of Seep Questionnaires in Patients with Obstructive Sleep Apnea
Hyo Won Lee, Sang Youl Lee, Mi Kyung Ye, Seung Gul Kang, Seon Tae Kim, Kee Hyung Park, Ji Eun Kim, Seung Heon Shin
1Department of Otorhinolaryngology, School of Medicine, Catholic University of Daegu, Daegu, Korea. hsseung@cu.ac.kr
2Department of Psychiatry, Gil Medical Center, Gachon University, School of Medicine, Incheon, Korea.
3Department of Otolaryngology, Gil Medical Center, Gachon University, School of Medicine, Incheon, Korea.
4Department of neurology, Gachon University, Gil Medical Center, Incheon, Korea.
5Department of neurology, Catholic University of Daegu School of Medicine, Daegu, Korea.
수면무호흡증 환자의 신체계측과 수면설문지 결과의 비교분석
이효원, 이상열, 예미경, 강승걸, 김선태, 박기형, 김지언, 신승헌
대구가톨릭대학교 의과대학 이비인후과학교실,1 가천대학교 의학전문대학원 길병원 정신건강의학교실,2 가천대학교 의학전문대학원 길병원 이비인후과,3 가천대학교 의학전문대학원 길병원 신경과학교실,4 대구가톨릭대학교 의과대학 신경과학교실5
Abstract
Background and Objectives
Obstructive sleep apnea (OSA) is the most common form of sleep-disordered breathing and affects quality of life. Several questionnaires have been developed for screening OSA. The aim of this study was to compare the anthropometric measurements of OSA patients using sleep questionnaires as a tool to screen patients with OSA.
Materials and Method
This study enrolled 126 adult OSA patients. All subjects underwent overnight polysomnography (PSG) and were measured for body mass index (BMI), neck circumference, waist circumference, and tonsil size. Patients were screened using the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Berlin questionnaire (Berlin Q), and STOP questionnaire (STOP Q). Correlation and multiple regression analyses were conducted to determine the predictive value of the anthropometric measurements of OSA patients.
Results
ESS, Berlin Q, and STOP Q results were associated with apnea hypopnea index (AHI), minimal oxygen saturation of PSG and BMI, neck circumference, waist circumference, and hip circumference of OSA patients. However, facial contour did not significantly influence the results of sleep questionnaires.
Conclusion
Some anthropometric characteristics are associated with sleep questionnaire results. Not only sleep questionnaires, but also anthropometric data can be used as predictive tools of OSA.
Key Words: Obstructive sleep apnea;Sleep questionnaire;Polysomnography;Body mass index




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