Marques Daniel Ruivo, Clemente Vanda, Allen Gomes Ana, Dias Sofia Fontoura, Miller Christopher B, Espie Colin A, de Azevedo Maria Helena Pinto
Department of Education and Psychology, University of Aveiro, Aveiro, Portugal.
CINEICC - Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.
J Sleep Res. 2025 Feb;34(1):e14305. doi: 10.1111/jsr.14305. Epub 2024 Aug 4.
Insomnia is a highly prevalent sleep disorder. It is the most frequent sleep complaint among Higher Education students. The Sleep Condition Indicator is a self-report tool aimed at assessing insomnia based on the DSM-5 criteria. The principal goal of this study was to establish preliminary psychometric properties of the European Portuguese version of the Sleep Condition Indicator in a sample of Higher Education students. Data from a diverse pool of Higher Education students (N = 537) were collected online over a month. Most participants were women (75%) and aged approximately 27 years. The Sleep Condition Indicator demonstrated good internal consistency (α = 0.85), with all the items accounting significantly for the scale reliability. The most appropriate factor structure considering the ordinal nature of the items was unidimensional, with all items explaining 64% of the total variance. However, a two-factor structure (sleep pattern and sleep-related impact) was also plausible when other statistical estimators were used. The Sleep Condition Indicator correlated significantly with insomnia severity, vulnerability to stress-related sleep disturbance, and self-reported daytime sleepiness. The optimal cut-off point established based on the receiver operating characteristic curve analysis was ≤ 16. A short version comprising only two items was also viable as suggested by the literature. The Sleep Condition Indicator is a reliable and valid tool for screening for insomnia. More studies with other groups are now required, specifically with clinical samples.
失眠是一种非常普遍的睡眠障碍。它是高等教育学生中最常见的睡眠问题。睡眠状况指标是一种自我报告工具，旨在根据《精神疾病诊断与统计手册》第五版标准评估失眠情况。本研究的主要目的是在一组高等教育学生样本中确定欧洲葡萄牙语版睡眠状况指标的初步心理测量特性。在一个月的时间里，通过网络收集了来自不同高等教育学生群体（N = 537）的数据。大多数参与者为女性（75%），年龄约为27岁。睡眠状况指标显示出良好的内部一致性（α = 0.85），所有项目对量表信度均有显著贡献。考虑到项目的有序性质，最合适的因子结构是单维的，所有项目解释了总方差的64%。然而，当使用其他统计估计方法时，双因子结构（睡眠模式和与睡眠相关的影响）也似乎合理。睡眠状况指标与失眠严重程度、对与压力相关的睡眠障碍的易感性以及自我报告的日间嗜睡显著相关。基于受试者工作特征曲线分析确定的最佳截断点为≤16。正如文献所建议的，仅包含两个项目的简短版本也是可行的。睡眠状况指标是一种用于筛查失眠的可靠且有效的工具。现在需要对其他群体进行更多研究，特别是临床样本。
