The role of body fat rate in the evaluation of obstructive sleep apnea
10.3760/cma.j.issn.1673-0860.2019.06.006
- VernacularTitle: 体脂率在阻塞性睡眠呼吸暂停评估中的作用
- Author:
Tao LI
1
;
Ziming YAO
1
;
Li WANG
1
;
Liyuan TAO
2
;
Xiaoning YU
3
;
Shilong SUN
1
;
Weini HU
1
;
Yali DU
1
;
Yan YAN
1
Author Information
1. Department of Otorhinolaryngology, Peking University Third Hospital, Beijing 100191, China
2. Epidemiological Studies Center, Peking University Third Hospital, Beijing 100191, China
3. School of Information Resource Management, Renmin University of China, Beijing 100872, China
- Publication Type:Journal Article
- Keywords:
Sleep apnea, obstructive;
Adiposity;
Body mass index;
Neck circumference;
Apnea-hypopnea index
- From:
Chinese Journal of Otorhinolaryngology Head and Neck Surgery
2019;54(6):427-431
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the role of body fat ratio in the evaluation of obstructive sleep apnea(OSA).
Methods:A retrospective analysis was made on 174 cases (between November, 2017 and April, 2018 showed that) of sleep monitoring in the Department of Otorhinolaryngology in Peking University Third Hospital. The data included the gender, age, body fat rate, body mass index (BMI), neck circumference, and apnea-hypopnea index (AHI). The above data were analyzed by non parametric correlation analysis, receiver operating characterristic (ROC) curve analysis and multiple factor Logistic regression analysis to study the relationship between the gender,age,body fat rate,BMI,neck circumference and other indexes of the patients with AHI.
Results:Nonparametric correlation analysis showed that the correlation from strong to weak to AHI among women was BMI (r=0.621, P<0.001),body fat rate (r=0.602, P<0.001), age (r=0.570, P<0.001), neck circumference (r=0.402, P=0.014), respectively. BMI (r=0.599, P<0.001), neck circumference (r=0.493, P<0.001), body fat rate (r=0.318, P<0.001), and age (r=0.256, P=0.003) among men. ROC curve analysis showed that the strong to weak index (area under curve,AUC) of the AHI>15/h among women was the body fat rate (AUC=0.884, P=0.001), BMI(AUC=0.810, P=0.008), neck circumference (AUC=0.759, P=0.027), age (AUC=0.750, P=0.033), and the male was BMI (AUC=0.765,P<0.001), neck circumference (AUC=0.720, P<0.001), age (AUC=0.634, P=0.008), and body fat rate (AUC=0.632, P=0.010), respectively. Multifactor Logistic regression analysis showed that the body fat rate (OR=1.704,95%CI=1.012-2.870) in women was an independent risk factor for AHI greater than 15/h; the age of male (OR=1. 044, 95%CI=1.005-1.085) and BMI (OR=1.285, 95%CI=1.056-1.562) were independent risk factors for AHI greater than 15/h.
Conclusion:Body fat rate can be used as a new indicator for predicting the severity of OSA,especially in adult female population. In adult female moderate to severe OSA patients (AHI>15/h), compared with BMI,neck circumference and age,the body fat rate has the greatest correlation with AHI. Compared with BMI,neck circumference and age,the body fat rate has a decisive role in predicting moderate to severe OSA (AHI>15/h).
