Archive for the ‘Snoring’ Category

From our study sample, two other important anatomical determinants were associated with higher snoring sound intensity levels: a higher BMI and narrow pharyngeal passages. We hypothesized that snoring sound intensity would have a negative association with sleep quality. Our data partially supports this hypothesis. Varying degrees of snoring sound intensity levels resulted in significant differences […]

We have shown that women do not snore as loudly as men. The difference between the mean Leq value for men and women was 3.0 dBA, which translates into a substantially higher sound intensity perception for the listener. This gender effect on snoring sound during sleep was independent of the severity of sleep-disordered breathing and […]

The same equipment was used to measure and record snoring sound intervals for all study patients. While each recording was made, technicians subjectively verified that the noisy breathing sounds being recorded were made by snoring. The acoustic analyses of the snoring sound intensity data were performed using methods that are used by OSHA to determine […]

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 […]

Snoring Sounding Intensity During Sleep and Clinical Factors The clinical information regarding the chief complaint was available for 682 of the study participants (Table 1). Table 4 shows the sound intensity levels for three chief complaint categories: snoring, hypersomnolence, and breathing stoppage. Patients with breathing stoppage had significantly higher snoring sound intensity levels than patients […]

The relationships between snoring sound intensity and demographic factors, the BMI, gender, and age were examined. Univariate analyses revealed that the BMI and gender were significantly related to all sound intensity levels (Table 2). The BMI had a positive association with snoring sound intensity levels, with a Pearson correlation coefficient for the Leq, L1, L5, […]

Statistical Analysis: The results were expressed as percentages and means (± SD) or 95% confidence intervals (CIs). Hypothesis tests were used to evaluate the presence of statistical significance among the groups. The likelihood ratio x2 test and the proportion Z test were used for categorical data analysis. Nonparametric testing was used for continuous variables with […]

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