BACKGROUND: The STOP-BANG is an easily administrable questionnaire for the screening of obstructive sleep apnea in adults, which may be adapted for use by young people. Here, we assessed the psychometric properties of the STOP-BN, a shortened version of the STOP-BANG questionnaire, using categorical data methods.
METHODS: Four hundred and three young people (age 20.71 ± 1.93 years) were selected by random sampling to participate in this cross-sectional study. Participants completed the STOP-BN, a tool for recording social and demographic characteristics, and the Epworth Sleepiness Scale (ESS), a measure of daytime sleepiness. The obtained data were analyzed using categorical data methods.
RESULTS: A two-factor model was identified for the STOP-BN, using the Kaiser's criteria (eigenvalue >1) and the screen test. However, the parallel analysis based on minimum rank, and the cumulative variance criteria (>40%) identified an one-factor model. Factor loadings ranged from 0.364 to 0.745. The identified two-factor model showed acceptable fit as the reported goodness of fit index and weighted root mean square residual were in the ideal range, and the comparative fit index was close to the ideal range. Greatest lower bound to reliability for two factors of the STOP-BN was 0.67 and 0.67, indicating an acceptable internal consistency. A weak to a nonsignificant correlation between the ESS and the STOP-BN score was demonstrated, favoring STOP-BN's divergent validity.
CONCLUSION: Categorical methods support the psychometric validity of the STOP-BN in the study population.


中文翻译：

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年轻人阻塞性睡眠呼吸暂停筛查：使用分类数据方法对STOP-BANG问卷的简化版进行心理计量学验证


背景： STOP-BANG是一种易于管理的问卷，用于筛查成人阻塞性睡眠呼吸暂停，可适合年轻人使用。在这里，我们使用分类数据方法评估了STOP-BN问卷的缩写形式STOP-BN的心理测量特性。
方法：通过随机抽样选择了403名年轻人（年龄为20.71±1.93岁）参加这项横断面研究。参与者完成了STOP-BN（一种记录社会和人口特征的工具）和Epworth嗜睡量表（ESS）（一种衡量白天嗜睡的方法）的方法。使用分类数据方法分析获得的数据。
结果：使用Kaiser准则（特征值> 1）和筛选测试，确定了STOP-BN的两因素模型。但是，基于最小等级和累积方差标准（> 40％）的并行分析确定了一个单因素模型。因子加载范围为0.364至0.745。所确定的两因素模型显示出可接受的拟合度，因为报告的拟合度和加权均方根残差均在理想范围内，而比较拟合度指数则接近理想范围。STOP-BN的两个因素对可靠性的最大下限是0.67和0.67，表明可接受的内部一致性。证明了ESS和STOP-BN评分之间的弱相关性或非重要相关性，有利于STOP-BN的发散性。
结论： 分类方法支持研究人群中STOP-BN的心理计量学有效性。