BackgroundObstructive 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.AimTo study the correlation between the severity of OSAHS and body composition measurements.Methods30 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 divided 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 composition (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 correlations 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 anthropometric and body composition measurements between groups.ResultsThe 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 Sumof-Ranks, W = 86.5; p = 0.17).ConclusionsIn 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.

Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) is a condition characterized by repeated episodes of airway obstruction during sleep, causing intermittent asphyxia and sleep fragmentation. The goal of this study was to assess dream content analysis before and during the first night of treatment for OSAHS using Continuous Positive Pressure (CPAP). We included 38 patients diagnosed using complete overnight polysomnography (PSG), who received CPAP therapy during a second night under PSG. Dream content (word count, thematic units, and emotional content) and the percent of REM sleep were analyzed after both nights. There was an increase in the percent of REM under CPAP (from 16,7% to 26,8%). There was an increase in the number of thematic units (1,36 without CPAP versus 1,82 under CPAP) and in the word count (30,52 without CPAP versus 45,22 under CPAP) and a change in the dream content (unpleasant content in 50% without CPAP versus 37,5% under CPAP). Under CPAP, more patients recalled their dreams than without CPAP (94,2% versus 57,9%). In conclusion, at the initiation of CPAP for OSAHS, there is a rebound of REM sleep associated with a quantitative increase in dream recall and a change in dream content.

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.

Obstructive sleep apnea hypopnea syndrome (OSAHS) is characterized by repeated breathing pauses during sleep, with slee disruption, intermittent hypoxia, and cardiac, metabolic and neuropsychological disturbances. Metabolic syndrome (MS) is an association of cardiovascular risk factors centered on insulin resistance.The study objective is to calculate the prevalence of MS and its components in a large group of OSAHS patients. We evaluated 350 patients addressed to The Military Hospital Iasi between 2016 and 2017 from the clinical, metabolic and polygraphic poins of view. In 235 of the 350 de patients we found OSAHS. Of the 235 patients with OSAHS, 140 (60%) meet the criteria for MS, versus 29% of the group withut OSAHS (OR = 3.608, CI = 2.1787 - 5.975). Patients with OSAHS were older, more obese, more sedentary, sleepier and presented higher cholesterol values both total cholesterol and HDL fraction, higher tryglicerides values, higher blood sugar values and blood pressure values than patients without OSAHS. The prevalence of the MS in OSAHS patients is 60%, similar to what whas reported and higher by 31% than in the non OSAHS group. Certain components and associated conditions are characteristically linked to OSAHS.