Deng Xingqi, Gu Wei, Li Yanyan, Liu Mei, Li Yan, Gao Xiwen
Department of Emergency Medicine, the Center Hospital of Minhang District, Minhang District, Shanghai, China.
Department of Respiratory Medicine, the Center Hospital of Minhang District, Minhang District, Shanghai, China.
PLoS One. 2014 Sep 11;9(9):e107380. doi: 10.1371/journal.pone.0107380. eCollection 2014.
To seek accurate and credible correlation manner between gender, age, and obesity; and the severity of obstructive sleep apnea (OSA) in large-scale population.
Totals of 1,975 male and 378 female OSA patients were sequentially recruited. Centralized covariant tendencies between age, body mass index (BMI), and waist hip ratio (WHR); and OSA severity, were explored in a gender-specific manner via multiple statistical analyses. The accuracies of observed correlations were further evaluated by adaptive multiple linear regression.
All of age, BMI, WHR, smoking, drinking, and OSA severity differed between males and females. BMI and WHR were positively and (approximately) linearly associated with OSA severity in both males and females. Restricted cubic spline analysis was more effective than was the Pearson correlation approach in correlating age with AHI, and provided age crossover points allowing further piecewise linear modeling for both males and females. Multiple linear regression showed that increasing age was associated with OSA exacerbation in males aged ≤ 40 years and in females aged 45-53 years. BMI, WHR, and diabetes were independently associated with OSA severity in males with age-group-specific pattern. In females, only BMI was associated with OSA severity at all ages.
In male patients, BMI and WHR are prominent risk factors for OSA exacerbation. Age and diabetes are associated with OSA severity in males of particular ages. In females, BMI is also a prominent risk factor for severe OSA, and OSA severity increased with age in the range 45-53 years.
在大规模人群中寻找性别、年龄和肥胖与阻塞性睡眠呼吸暂停(OSA)严重程度之间准确且可靠的关联方式。
依次招募了1975例男性和378例女性OSA患者。通过多种统计分析,以性别特异性方式探讨年龄、体重指数(BMI)和腰臀比(WHR)与OSA严重程度之间的集中协变趋势。通过自适应多元线性回归进一步评估观察到的相关性的准确性。
年龄、BMI、WHR、吸烟、饮酒和OSA严重程度在男性和女性之间均存在差异。BMI和WHR在男性和女性中均与OSA严重程度呈正相关且(近似)呈线性相关。在将年龄与呼吸暂停低通气指数(AHI)相关联方面,受限立方样条分析比Pearson相关方法更有效,并提供了年龄交叉点,允许对男性和女性进行进一步的分段线性建模。多元线性回归显示,年龄增加与≤40岁男性和45 - 53岁女性的OSA加重相关。BMI、WHR和糖尿病在具有年龄组特异性模式的男性中与OSA严重程度独立相关。在女性中,仅BMI在所有年龄段均与OSA严重程度相关。
在男性患者中,BMI和WHR是OSA加重的主要危险因素。年龄和糖尿病在特定年龄的男性中与OSA严重程度相关。在女性中,BMI也是严重OSA的主要危险因素,并且在45 - 53岁范围内OSA严重程度随年龄增加。