Key result
Increased neck circumference (OR 1.414), waist circumference (OR 1.114), and body mass index (OR 1.364) were significantly associated with obstructive sleep apnea (p<0.001 for all).
Why the study?
Are anthropometric indices (neck circumference, waist circumference, and body mass index) associated with the presence and severity of obstructive sleep apnea in a Korean population?
Observational (n=383)
Are anthropometric indices (neck circumference, waist circumference, and body mass index) associated with the presence and severity of obstructive sleep apnea in a Korean population?
Effect estimate: OR 1.414 (neck circumference), OR 1.114 (waist circumference), OR 1.364 (BMI)
p-value: p=<0.001
Increased neck circumference, waist circumference, and body mass index are significantly associated with the presence and severity of obstructive sleep apnea in the Korean population, with specific sex-based cut-off values identified for risk prediction.
May aid OSA risk stratification via anthropometrics in Koreans; leaves open longitudinal validation of severity and causality.
BACKGROUND: Obesity is a major risk factor for the development of obstructive sleep apnea (OSA). Although clinical and epidemiological studies have shown that OSA and obesity are strongly associated, few Asian studies have examined the associations between anthropometric obesity indices and OSA, especially in the Korean population. The purpose of this study was to evaluate the influence of anthropometric obesity indices on OSA in a Korean population. METHODS: Anthropometric indices, including neck circumference, waist circumference, and body mass index, were assessed in 383 consecutive subjects with suspected OSA. RESULTS: Of the 383 subjects assessed, 316 (82.5%) were diagnosed with OSA. Neck circumference (r = 0.518), waist circumference (r = 0.570), and body mass index (r = 0.512) were correlated with the apnea-hypopnea index (p<0.001, for all). After adjusting for age, sex, alcohol consumption, and smoking, a logistic regression model showed that neck circumference [odds ratio (OR), 1.414; p<0.001)], waist circumference (OR, 1.114; p<0.001), and body mass index (OR, 1.364; p<0.001) were associated with OSA. The linear regression model showed that neck circumference (β = 3.748, p<0.001), waist circumference (β = 1.272, p<0.001), and body mass index (β = 3.082, p<0.001) were associated with apnea-hypopnea index. The cut-off values for predicting OSA were determined as 34.5 cm for neck circumference, 76.5 cm for waist circumference, and 23.05 kg/m2 for body mass index for females, and 38.75 cm for neck circumference, 88.5 cm for waist circumference, and 24.95 kg/m2 for body mass index for males. CONCLUSION: Increased anthropometric indices were significantly associated with the presence and severity of OSA in a Korean population. In addition, this study demonstrated the cut-off values for body mass index, waist circumference, and neck circumference for increased OSA risk.
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Kang et al. (2014) conducted an observational in Obstructive Sleep Apnea (n=383). Anthropometric obesity indices (neck circumference, waist circumference, body mass index) was evaluated on Presence of obstructive sleep apnea (OR 1.414 (neck circumference), OR 1.114 (waist circumference), OR 1.364 (BMI), p=<0.001). Increased neck circumference (OR 1.414), waist circumference (OR 1.114), and body mass index (OR 1.364) were significantly associated with obstructive sleep apnea (p<0.001 for all).
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