J Rhinol.  2015 Nov;22(2):96-102. 10.18787/jr.2015.22.2.96.

Correlation Analysis between Anthropometric Measurement and the Results of Seep Questionnaires in Patients with Obstructive Sleep Apnea

Affiliations
  • 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.

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.

Keyword

Obstructive sleep apnea; Sleep questionnaire; Polysomnography; Body mass index
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