Body composition in obstructive sleep apnea- hypopnea syndrome. Bio-impedance reflects the severity of sleep apnea

• Published in: Multidisciplinary respiratory medicine 2010-12, Vol.5
• Main Authors: Lovin, Sînziana, Bercea, Raluca, Cojocaru, Cristian, Rusu, Gianina, Mihăescu, Traian
• Format: Article
• Language: eng ; ita
• Subjects: Abdomen; Body composition; Body fat; Body mass index; Neck; Sleep apnea
• ISSN: 1828-695X; 2049-6958
• DOI: 10.4081/mrm.2010.514

Background: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is characterized by repeated breathing pauses during sleep and is closely associated with obesity. Body fat is known to be a predictive factor for OSAHS and its severity. Aim: To study the correlation between the severity of OSAHS and body composition measurements. Methods: 30 patients with OSAHS (21 men, 9 women, mean age 45.1 years, mean apnea-hypopnea index = 29.6/hour) were included in the study after full polysomnography. They were di- vided into 3 groups according to the apnea-hypopnea index (AHI): mild OSAHS (mean AHI 10.9/h), moderate OSAHS (mean AHI 23.9/h) and severe OSAHS (mean AHI 53.9/h). Body com- position (body fat, body water and dry lean mass) was assessed using bioelectric impedance assay (BIA). Other measurements included neck and abdominal circumferences and body mass index (BMI). Pearson’s coefficient (r) was used to express corre- lations between AHI and the following parameters: BMI, neck and abdominal circumferences, body fat, dry lean mass, and body water. Wilcoxon Sum-of-Ranks (Mann-Whitney) test for comparing unmatched samples was used to compare anthro- pometric and body composition measurements between groups. Results: The correlation between AHI and BMI was weak (r = 0.38). AHI correlated moderately with neck circumference (r = 0.54), with neck circumference corrected by height (r = 0.60), and more strongly with body fat (r = 0.67), with body water (r = 0.69) and with abdominal circumference (r = 0.75). There was a strong negative correlation between AHI and dry lean mass (r = - 0.92). There were significant differences in body fat, body water, neck circumference corrected by height and abdominal circumference (Wilcoxon Sum-of-Ranks, p < 0.01), between mild and severe OSASH groups, but not in BMI (Wilcoxon Sum- of-Ranks, W = 86.5; p = 0.17). Conclusions: In our study, the severity of OSAHS correlated with body fat and with body water more strongly than with general and cervical obesity. Abdominal adiposity may predict OSAHS severity better than neck circumference.