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Snoring Index and Neck Circumference as Predictors of Adult Obstructive Sleep Apnea

Jui‐Kun Chiang, Yen-Chang Lin, Chih-Ming Lu, Yee-Hsin Kao

2022Healthcare15 citationsDOIOpen Access PDF

Abstract

Background. Snoring is the cardinal symptom of obstructive sleep apnea (OSA). The acoustic features of snoring sounds include intra-snore (including snoring index [SI]) and inter-snore features. However, the correlation between snoring sounds and the severity of OSA according to the apnea−hypopnea index (AHI) is still unclear. We aimed to use the snoring index (SI) and the Epworth Sleepiness Scale (ESS) to predict OSA and its severity according to the AHI among middle-aged participants referred for polysomnography (PSG). Methods. In total, 50 participants (mean age, 47.5 ± 12.6 years; BMI: 29.2 ± 5.6 kg/m2) who reported snoring and were referred for a diagnosis of OSA and who underwent a whole night of PSG were recruited. Results. The mean AHI was 30.2 ± 27.2, and the mean SI was 87.9 ± 56.3 events/hour. Overall, 11 participants had daytime sleepiness (ESS > 10). The correlation between SI and AHI (r = 0.33, p = 0.021) was significant. Univariate linear regression analysis showed that male gender, body mass index, neck circumference, ESS, and SI were associated with AHI. SI (β = 0.18, p = 0.004) and neck circumference (β = 2.40, p < 0.001) remained significantly associated with AHI by the multivariate linear regression model. Conclusion. The total number of snores per hour of sleep and neck circumference were positively associated with OSA among adults referred for PSG.

Topics & Concepts

MedicinePolysomnographyEpworth Sleepiness ScaleObstructive sleep apneaBody mass indexBayesian multivariate linear regressionApneaWaistUnivariate analysisSleep apneaCircumferenceInternal medicinePhysical therapyLinear regressionMultivariate analysisGeometryComputer scienceMathematicsMachine learningObstructive Sleep Apnea ResearchNeuroscience of respiration and sleepVoice and Speech Disorders