Correlation Analysis between Anthropometric Measurement and the Results of Seep Questionnaires in Patients with Obstructive Sleep Apnea.
- Author:
Hyo Won LEE
1
;
Sang Youl LEE
;
Mi Kyung YE
;
Seung Gul KANG
;
Seon Tae KIM
;
Kee Hyung PARK
;
Ji Eun KIM
;
Seung Heon SHIN
Author Information
- Publication Type:Original Article
- Keywords: Obstructive sleep apnea; Sleep questionnaire; Polysomnography; Body mass index
- MeSH: Adult; Apnea; Berlin; Body Mass Index; Hip; Humans; Mass Screening; Neck; Oxygen; Palatine Tonsil; Polysomnography; Quality of Life; Sleep Apnea Syndromes; Sleep Apnea, Obstructive*; Waist Circumference
- From:Journal of Rhinology 2015;22(2):96-102
- CountryRepublic of Korea
- Language:Korean
- 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.
