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The Epworth Sleepiness Scale: Validation of One-Dimensional Factor Structure in a Large Clinical Sample

机译:Epworth嗜睡量表:大型临床样本中的一维因子结构的验证

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Study Objectives:The Epworth Sleepiness Scale (ESS) is used by clinicians and researchers to determine level of daytime sleepiness. The number of factors included in the scale has been debated. Our study objective was to clarify the dimensionality of the ESS using a large clinical sample.Methods:A retrospective cohort study included all patients presenting for care in a tertiary care sleep disorders center who answered all items on the ESS from January 8, 2008 to September 28, 2012. Dimensionality was assessed using scree plot, eigenvalues, factor loadings, principal factor analysis, and confirmatory factor analysis. Multigroup confirmatory factor analysis (MGCFA) evaluated dimensionality within 10 subgroups of clinical interest.Results:The mean age of the 10,785 study participants was 50 ( 15) years with 49% female, and 81% white. The one-factor solution explained 63% of the variability in responses with high factor loadings ( .67 for all 8 items). The scree plot identified one factor with eigenvalue 1. Results of confirmatory factor analysis demonstrated a one-factor solution had acceptable goodness of fit as assessed by root mean square error of approximation of .094 (90% confidence interval: .089.099). MGCFA confirmed measurement invariance within all 10 demographic and clinical subgroups.Conclusions:Our study confirmed the unidimensionality of the ESS in a large diverse clinical population. Results from this study can be used to justify the interpretation of the ESS within clinical populations, and supports valid comparisons between groups based on the ESS. Future studies are warranted to further understand the items comprising the ESS and potentially eliminate redundant items for increased efficiency in clinical settings.
机译:研究目的:爱普华兹嗜睡量表(ESS)被临床医生和研究人员用来确定白天的嗜睡程度。量表中所包括的因素数量已有所争论。方法:一项回顾性队列研究包括2008年1月8日至9月在三级睡眠障碍中心就诊的所有患者,这些患者回答了ESS上的所有项目2012年2月28日。使用卵石图,特征值,因子负荷,主因子分析和验证性因子分析对维度进行了评估。多组验证性因子分析(MGCFA)评估了10个临床感兴趣的亚组中的维度。结果:10,785名研究参与者的平均年龄为50(15)岁,女性为49%,白人为81%。单因素解决方案解释了高因素负荷(所有8个项目均> .67)中63%的变化。卵石图确定了特征值大于1的一个因子。验证性因子分析的结果表明,单因子解具有良好的拟合优度,其均方根误差约为.094(90%置信区间:0.089.099)。 MGCFA证实了所有10个人口统计学和临床​​亚组中的测量不变性。结论:我们的研究证实了ESS在众多临床人群中具有一维性。这项研究的结果可用于证明对临床人群中ESS的解释是正确的,并支持基于ESS的组之间的有效比较。有必要进行进一步的研究,以进一步了解构成ESS的项目,并可能消除多余的项目,以提高临床环境的效率。

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