%0 Journal Article
%T Anthropometric Predictors of High Risk of Obstructive Sleep Apnea Syndrome in a Rural Population
%A Otilia Ni
%A 
%A Lidia Iuliana Graur
%A 
%A 
%A Dana  tefana Popescu
%A 
%A Alina Delia Popa
%A 
%A 
%A Laura Mihalache
%A 
%A Daniela Boi teanu
%A 
%A Mariana Graur
%J Romanian Journal of Diabetes Nutrition and Metabolic Diseases
%D 2012
%I 
%R 10.2478/v10255-012-0002-8
%X Objective. To evaluate which anthropometric parameter better predicts the high risk of obstructive sleep apnea syndrome (OSA) in a rural population. Material and Method. 254 subjects were enrolled. We measured weight, height, waist circumference (WC) and neck circumference (NC) and calculated body mass index (BMI), waist-to-height ratio (WHtR) and neck circumference/height ratio (NC/Height). The risk of OSA was assessed by using Berlin Questionnaire. Results. Subjects with high risk of OSA had a significant higher BMI, WC, WHtR, NC, and NC/Height. A higher percentage of those with large WC (¡Ý80cm and ¡Ý94cm for women and men, respectively) (p<0.001), WHtR ¡Ý0.5 (p<0.001), NC ¡Ý40cm (p=0.004), NC/Height ratio ¡Ý0.23 (p=0.002) had a high risk of OSA. Using ROC curves of anthropometric parameters studied we found that WHtR was the best predictor for high risk of OSA, with AUC of 0.760, 95% CI: 0.699 to 0.815. Conclusions. WHtR was the best predictor for high risk of OSA as assessed by the Berlin Questionnaire.
%K obstructive sleep apnea syndrome
%K waist-to-height ratio
%K Berlin questionnaire
%K anthropometric measures
%U http://versita.metapress.com/content/g6l615jg61657027/?p=a6c560e4855b4b558bed21b5878d2e6f&pi=1