Jeong Jong In, Gu Seonhye, Cho Juhee, Hong Sang Duk, Kim Su Jin, Dhong Hun-Jong, Chung Seung-Kyu, Kim Hyo Yeol
Department of Otolaryngology, Keimyung University School of Medicine, Daegu, South Korea.
Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, South Korea.
Sleep Breath. 2017 May;21(2):535-541. doi: 10.1007/s11325-016-1413-1. Epub 2016 Oct 5.
Considering the mechanisms by which obesity affects obstructive sleep apnea syndrome (OSAS) and the differences of fat distribution depending on gender, associations between anthropometric parameters, and OSAS may differ depending on gender or sleep position. We analyzed the impact of gender and sleep position on the relationship between fat distribution and development of OSAS.
One thousand thirty-two consecutive subjects were analyzed. Recorded anthropometric measurements and overnight polysomnographic data of the subjects were reviewed retrospectively. The presence of OSAS was defined by the respiratory disturbance index (RDI) ≥5 with documented symptoms of excessive daytime sleepiness.
Eight hundred fifty-eight males and 174 females were included. Male subjects had significantly higher body mass index (BMI), larger waist circumference (WC), and lower percent of overall body fat (P < 0.0001, P < 0.0001, and P < 0.0001, respectively). The severity of OSAS was significantly higher in male subjects (RDI 26.9 ± 22.4 in males vs. 10.2 ± 13.8 in females, P < 0.0001). In male subjects, BMI, WC, and overall body fat were significantly associated with severity of OSAS and had larger impacts on supine RDI than lateral RDI. Overall body fat was not associated with severity of OSAS in female subjects, and there were no significant differences of the associations between all anthropometric parameters and RDIs depending on sleep position.
Evaluation of the correlation of anthropometric data with severity of OSAS should consider sleep position as well as gender.
考虑到肥胖影响阻塞性睡眠呼吸暂停低通气综合征(OSAS)的机制以及脂肪分布因性别而异,人体测量学参数与OSAS之间的关联可能因性别或睡眠姿势而有所不同。我们分析了性别和睡眠姿势对脂肪分布与OSAS发生发展关系的影响。
对连续1032名受试者进行分析。回顾性分析记录的受试者人体测量数据和夜间多导睡眠图数据。OSAS的存在通过呼吸紊乱指数(RDI)≥5并伴有日间过度嗜睡的记录症状来定义。
纳入858名男性和174名女性。男性受试者的体重指数(BMI)显著更高,腰围(WC)更大,全身脂肪百分比更低(分别为P < 0.0001、P < 0.0001和P < 0.0001)。男性受试者的OSAS严重程度显著更高(男性RDI为26.9±22.4,女性为10.2±13.8,P < 0.0001)。在男性受试者中,BMI, WC和全身脂肪与OSAS严重程度显著相关,并且对仰卧位RDI的影响大于侧卧位RDI。女性受试者的全身脂肪与OSAS严重程度无关,所有人体测量参数与RDI之间的关联在不同睡眠姿势下无显著差异。
评估人体测量数据与OSAS严重程度的相关性时应同时考虑睡眠姿势和性别。