Suppr超能文献

《伊普沃思嗜睡量表阿拉伯语版本在也门医科学生中的效度验证》

Validation of the Arabic Version of the Epworth Sleepiness Scale among the Yemeni Medical Students.

作者信息

Attal Bothaina Ahemd, Al-Ammar Fawziah Kassim, Bezdan Mohammed

机构信息

Community Medicine Department, Faculty of Medicine and Health Sciences, Sana'a University, Sana'a, Yemen.

Educational and Psychological Sciences Department, Faculty of Education and Languages, Amran University, Amran, Yemen.

出版信息

Sleep Disord. 2020 Feb 29;2020:6760505. doi: 10.1155/2020/6760505. eCollection 2020.

Abstract

The study was conducted with the aim to assess the psychometric measures of an adapted Arabic version of the Epworth Sleepiness Scale (ESS) among medical students at Sana'a University, Yemen. The cross-sectional study targeted 360 students (males: 176; females: 184) from the preclinical 3 year (: 197) and the final clinical year (: 163). Participants self-filled an Arabic and slightly modified version of the 8-item Epworth Sleepiness Scale. Exploratory Principal Component Analysis (PCA) and Confirmatory Factor Analyses (CFA) were conducted on two equal subsets of the sample (: 180 each). The PCA yielded a two-dimension model subsequently confirmed by factor analysis. The first dimension was grouped on three items while the second dimension had five items reflecting the respondents' propensity to sleep during "interactive situations" and "sitting and lying," respectively. The model had an acceptable goodness of fit measures for the overall ESS (CMINDF = 2.362, CFI = 0.91, IFI = 0.92) and acceptable reliability indicators (factor 1 = 0.65, factor 2 = 0.62). However, due to weak variance explanation (0.07) of item 6 (sitting and talking) in factor 1, analysis was repeated excluding this item. The 7-item model was also two-dimensional, valid, and reliable. The reliability indicators were acceptable with = 0.65 for factor 1 (4 items of interactive situations) and 0.62 for factor 2 (3 items of sitting) and overall = 0.68. Overall, the ESS is a useful tool. Factor analysis produced a two-factor model of 7 items with good validity and reasonable reliability that can be used in diagnosing daytime sleepiness among young Yemeni adults.

摘要

本研究旨在评估在也门萨那大学医学院学生中,改编后的阿拉伯语版爱泼沃斯思睡量表(ESS)的心理测量指标。这项横断面研究的对象是360名学生(男性176名;女性184名),他们来自临床前3年级(197名)和临床最后一年(163名)。参与者自行填写了一份8项爱泼沃斯思睡量表的阿拉伯语且略有修改的版本。对样本的两个相等子集(各180名)进行了探索性主成分分析(PCA)和验证性因子分析(CFA)。主成分分析得出了一个二维模型,随后经因子分析得到证实。第一个维度由三个项目组成,而第二个维度有五个项目,分别反映了受访者在“互动情境”和“坐卧”时的嗜睡倾向。该模型对整体ESS具有可接受的拟合优度指标(CMIN/DF = 2.362,CFI = 0.91,IFI = 0.92)和可接受的信度指标(因子1 = 0.65,因子2 = 0.62)。然而,由于因子1中项目6(坐着交谈)的方差解释力较弱(0.07),因此在排除该项目后重复进行了分析。7项模型也是二维的、有效且可靠的。信度指标是可接受的,因子1(互动情境的4个项目)为0.65,因子2(坐的3个项目)为0.62,总体为0.68。总体而言,ESS是一个有用的工具。因子分析产生了一个7项的双因子模型,具有良好的效度和合理的信度,可用于诊断也门年轻成年人的日间嗜睡情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d571/7071801/829bd1cf3384/SD2020-6760505.001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验