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Screening of Obstructive Sleep Apnea (OSA)?Risk?and Study of Its Predictors in a Population of Adult Indians

机译:阻塞性睡眠呼吸暂停(OSA)的筛查?风险及其在成年印第安人群体中的预测因素研究

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Abstract Purpose The current study is the first attempt to screen obstructive sleep apnea (OSA) risk in adult populations of Chhattisgarh, India. A few predictors of OSA, such as socio-demographic variables, excessive daytime sleepiness (EDS), behavioral sleep variables, and chronotype were also investigated.Methods Five hundred eleven (167 males and 344 females) randomly chosen healthy subjects participated in the study. The STOP-BANG and Modified Berlin Questionnaires (MBQ) were used for the screening of OSA. The Epworth Sleepiness Scale was used to determine excessive daytime sleepiness. The Morningness–Eveningness Questionnaire (MEQ) and Munich Chronotype Questionnaire (MCTQ) were used to determine the chronotype and behavioral sleep variables of each subject.Results It was observed that 11% of the studied population was at risk of OSA obtained through MBQ. The STOP-BANG score significantly differed as a function of gender, family type, habitat, and chronotype. The Principal Component Analysis revealed behavioral sleep variables, demographic variables, EDS, and chronotype as the important correlates of OSA. The variables namely sleep latency and sleep inertia on both workdays and free days contributed to 22% variability in the dataset; whereas age, BMI and BSA together explained 19% variability. The ESS score and other associated factors explained the 20% variability in the dataset.Conclusions The study delivers an early warning and underscores that about 11% of young adults from Chhattisgarh have a higher OSA risk. Sleep latency and sleep inertia could be associated with OSA risk more prominently followed by BMI and BSA.
机译:目前的研究是第一个抽象的目的尝试屏幕阻塞性睡眠呼吸暂停(OSA)在恰蒂斯加尔邦的成年人口,印度风险。阻塞性睡眠呼吸暂停综合症的一些预测,比如socio-demographic变量,白天嗜睡(EDS)、睡眠行为变量,和时间类型也被调查。几百十一(167男性和344女性)随机选择健康受试者参与这项研究。调查问卷(兆贝可)是用于筛选阻塞性睡眠呼吸暂停综合症。确定日间极度嗜睡。Morningness-Eveningness问卷(毫克当量)和慕尼黑时间类型问卷(MCTQ)确定时间类型和行为睡眠每个主题的变量。这11%的人口的风险研究阻塞性睡眠呼吸暂停综合症通过兆贝可获得的。不同性别的函数,家庭类型、生境、时间类型。主成分分析显示行为睡眠变量,人口统计变量、EDS和时间类型的阻塞性睡眠呼吸暂停综合症的重要关联。的变量即睡眠延迟和睡眠惯性工作日和自由的日子导致22%的变化数据集;而年龄、BMI和解释19% BSA在一起可变性。因素解释20%的变异数据集。警告和强调,大约11%的年轻成年人在恰蒂斯加尔邦阻塞性睡眠呼吸暂停综合症的风险更高。睡眠睡眠延迟和惯性与阻塞性睡眠呼吸暂停综合症的风险更加突出BMI和BSA紧随其后。

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