ABSTRACT
OBJECTIVE@#To investigate the depression and its influencing factors in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS).@*METHODS@#The scales of the demographic data, Epworth sleepiness scale (ESS), Pittsburgh sleep quality index (PSQI), Beck depression inventory(BDI), and simplified coping style questionnaire (SCSQ) were tested in 114 patients with OSAHS.@*RESULTS@#The BDI score was (8.29 ± 6.46), and 32.5% of the patients had depression. The BDI score was related to the coping style, PSQI total score and the subjective sleep quality, sleep time, sleep efficiency, sleep disturbance, using hypnotic drugs, and day-time dysfunction. There were no correlations between the ESS, body mass index, apnea hyponea index(AHI), lowest oxygen saturation (LSaO₂), mean oxygen saturation (MSaO₂) and depression.@*CONCLUSION@#About 1/3 of the OSAHS patients have depressive symptoms. PSQI score,negative coping style, positive coping style, using hypnotic drugs, and time for falling asleep are influential factors in OSAHS patients.
Subject(s)
Adult , Female , Humans , Male , Middle Aged , Young Adult , Depression , Sleep Apnea, Obstructive , Surveys and QuestionnairesABSTRACT
Objective To screen and diagnose obstructive sleep apnea-hypopnea syndrome (OSAHS) in elderly males by obesity index using receiver operating characteristic(ROC) curves. Methods Data of 402 consecutive elderly male patients who underwent polysomnography from 2001 to 2008 were collected. The relationship between apnea hypopnea index(AHI) and obese indexes such as body mass index (BMI), neck circumference (NC), waist circumference (WC) and waist-to-hip ratio (WHR) were analyzed by Pearson's correlation. ROC curves were used to determine the best cutoff values to screen and diagnose OSAHS, and their priority was compared by area under curve (AUC). A two-tailed P value less than 0.05 was considered statistically significant. Statistical analysis was carried out with SPSS version 13.0. Results (1) AHI was positively correlated with BMI (r=0.241,P<0.001), NC(r=0.201,P<0.001), WC(r=0.210,P<0.001) and WHR(r=0. 097,P>0.05)) in elderly male patients. The area under curve (AUC) of BMI, NC, WC and WHR was 0.61, 0.58, 0.51 and 0.45 respectively, and P value was 0.001,0.060,0.840 and 0. 250 respectively. Only BMI was competent in screening and diagnosing OSAHS in elderly male adults; (2) The optimal value of BMI was 22.0 kg/m~2 in screening OSAHS with specificity 90% and rate of missed diagnosis 10%; (3) The optimal value of BMI was 29.0 kg/m~2 in diagnosing OSAHS with specificity 90% and rate of missed diagnosis 10%. Conclusions BMI more than 22.0 kg/m~2 could be the reference standard to screen OSAHS and BMI more than 29.0 kg/m~2 to diagnose OSAHS in elderly men.
ABSTRACT
Objective To study the clinical characteristics of elderly sleep apnea syndrome (ASA). Methods 329 SAS patients diagnosed by 7-hour polysomnography(PSG) were classified into the aged and the middle aged groups. Results Both the body mass index(BMI) and neck circumference were significantly lower in the aged group than those in the middle aged group(P