OBJECTIVE: Diagnosing obstructive sleep apnea (OSA) usually involves high cost, patient inconvenience, and the need for examination at a specialized center. This study employed a portable, wearable, diagnostic device (WatchPAT) to investigate the prevalence of OSA in nonobese Japanese patients with type 2 diabetes. METHODS: Patients with type 2 diabetes were tested for OSA over one night using the WatchPAT. Logistic regression analysis was used to estimate the odds ratios (ORs) of risk factors for OSA in nonobese subjects. RESULTS: A total of 200 eligible patients with type 2 diabetes were studied (64.5% men; aged 60.1 ± 13.6 years; body mass index [BMI], 26.3 ± 5.2 kg/m2). When OSA was defined as apnea-hypopnea index ≥5/hour, its prevalence was 80.5%. The prevalence of OSA in subjects with a BMI <20 kg/m2, ≥20 and <25 kg/m2, ≥25 and <30 kg/m2, and ≥30 kg/m2 was 38.9%, 73.5%, 86.5%, and 97.5%, respectively. The severity of OSA increased in proportion to BMI, especially when the BMI was >25 kg/m2. The prevalence of OSA was also high (66.3%) in normal-weight subjects (BMI <25 kg/m2). Furthermore, the serum triglyceride level (OR, 1.01; 95% confidence interval, 1.00 to 1.02; P = .042) was significantly related to OSA. CONCLUSION: A high prevalence of OSA was observed in this nonobese population of Japanese patients with type 2 diabetes. The triglyceride level was associated with OSA among nonobese patients. ABBREVIATIONS: AHI = apnea-hypopnea Index; BMI = body mass index; CI = confidence interval; ESS = Epworth Sleepiness Scale; HbA1c = glycated hemoglobin; OR = odds ratio; OSA = obstructive sleep apnea; PAT = peripheral arterial tone; T2D = type 2 diabetes; TG = triglyceride.
OBJECTIVE: Diagnosing obstructive sleep apnea (OSA) usually involves high cost, patient inconvenience, and the need for examination at a specialized center. This study employed a portable, wearable, diagnostic device (WatchPAT) to investigate the prevalence of OSA in nonobese Japanese patients with type 2 diabetes. METHODS:Patients with type 2 diabetes were tested for OSA over one night using the WatchPAT. Logistic regression analysis was used to estimate the odds ratios (ORs) of risk factors for OSA in nonobese subjects. RESULTS: A total of 200 eligible patients with type 2 diabetes were studied (64.5% men; aged 60.1 ± 13.6 years; body mass index [BMI], 26.3 ± 5.2 kg/m2). When OSA was defined as apnea-hypopnea index ≥5/hour, its prevalence was 80.5%. The prevalence of OSA in subjects with a BMI <20 kg/m2, ≥20 and <25 kg/m2, ≥25 and <30 kg/m2, and ≥30 kg/m2 was 38.9%, 73.5%, 86.5%, and 97.5%, respectively. The severity of OSA increased in proportion to BMI, especially when the BMI was >25 kg/m2. The prevalence of OSA was also high (66.3%) in normal-weight subjects (BMI <25 kg/m2). Furthermore, the serum triglyceride level (OR, 1.01; 95% confidence interval, 1.00 to 1.02; P = .042) was significantly related to OSA. CONCLUSION: A high prevalence of OSA was observed in this nonobese population of Japanese patients with type 2 diabetes. The triglyceride level was associated with OSA among nonobese patients. ABBREVIATIONS: AHI = apnea-hypopnea Index; BMI = body mass index; CI = confidence interval; ESS = Epworth Sleepiness Scale; HbA1c = glycated hemoglobin; OR = odds ratio; OSA = obstructive sleep apnea; PAT = peripheral arterial tone; T2D = type 2 diabetes; TG = triglyceride.