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수면무호흡증 환자의 신체계측과 수면설문지 결과의 비교분석Correlation Analysis between Anthropometric Measurement and the Results of Seep Questionnaires in Patients with Obstructive Sleep Apnea

Other Titles
Correlation Analysis between Anthropometric Measurement and the Results of Seep Questionnaires in Patients with Obstructive Sleep Apnea
Authors
이효원이상열예미경강승걸김선태박기형김지언신승헌
Issue Date
Nov-2015
Publisher
대한비과학회
Keywords
Obstructive sleep apnea; Sleep questionnaire; Polysomnography; Body mass index; 폐쇄성수면무호흡증; 신체계측; 수면다원검사; 수면설문
Citation
Journal of Rhinology, v.22, no.2, pp.96 - 102
Journal Title
Journal of Rhinology
Volume
22
Number
2
Start Page
96
End Page
102
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/11279
ISSN
1229-1498
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.
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