The Snoring Spectrum: Multivariate Logistic Regression Analyses

In: Snoring

15 Aug 2014

Multivariate Logistic Regression Analyses
Multivariate logistic regression analyses measured the relative strength of the associations among the RDI categories (an RDI of > 10 or < 10), the snoring sound intensity levels, and a variety of demographic and clinical factors (Table 5). Independent variables were selected for the model based on their univariate relationship with the RDI categories, the dependent variable. Independent variables with strong colinearity with other independent variables were taken out of the model. Regression results show that among the factors included in the model, snoring sound intensity levels, obesity status, and gender had the strongest associations with the RDI categories. Patients with Leq values of a 38 dBA were 3.44 (95% CI, 1.99 to 5.95) times more likely to have an RDI a 10 after controlling for gender, age, BMI, SWS, and sleep efficiency read more inhalers for asthma. Based on the regression results, it was found that obese male patients with an Leq value of a 38 dBA were 4.1 (95% CI, 2.15 to 6.43) times more likely to have an RDI of a 10 than any other group.
Using a large data set of clinical variables and polysomnographic results in conjunction with standardized snoring sound measurements, we have attempted to describe the full range of snoring sound intensity. We realize that the acoustic measurement technique used in this study has certain limitations. It did not allow for the linking of acoustic data to polysomnographic variables in time. It assessed frequency by employing the A-weighting network that yields a frequency response curve similar to that of the human ear. Recent studies suggest that frequency information may be important for distinguishing between snoring produced by individuals with and without obstructive sleep apnea.
As pointed out by Hoffstein, many questions about the clinical significance of snoring are unanswered largely because of the lack of standardized procedures for measuring snoring sounds. The measurement methodology used in this study provided accurate and consistent information on snoring sound intensity.

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