Coelho Julien, Lopez Régis, Taillard Jacques, D'Incau Emmanuel, Fond Guillaume, Philip Pierre, Micoulaud-Franchi Jean-Arthur
Mixed Research Unit (UMR) 6033, Health Department, Medical Sciences, Sleep, Addiction, Neuropsychiatry (SANPSY), Bordeaux University, F-33000 Bordeaux, France.
National Center for Scientific Research (CNRS), SANPSY, UMR 6033, F-33000 Bordeaux, France.
J Clin Med. 2022 Jul 4;11(13):3892. doi: 10.3390/jcm11133892.
The Barcelona Sleepiness Index (BSI) is an ultra-short instrument with several advantages for assessing excessive daytime sleepiness (EDS). The present study was performed to analyze the validity of the French version of the BSI in screening for EDS. We conducted a cross-sectional study on a population of students using an online questionnaire. The French version of the BSI was developed by a rigorous forward-backward translation process. We computed the discrimination properties of the BSI to predict EDS assessed by the Epworth Sleepiness Scale (ESS), as well as correlations with other sleep measures. In total, 662 students were enrolled in the study (mean age: 20.9 years, 76.0% women). The BSI score (mean = 1.5 ± 1.0) showed a strong correlation with the ESS score (r = 0.47, p < 10−4) and acceptable discrimination of EDS assessed by ESS score ≥ 11 (AUC = 0.742) with an optimal cutoff point of 2, as in the original study. The BSI score was significantly associated with sleep deprivation and social jetlag. Therefore, the French version of the BSI is a valid ultra-short instrument for EDS screening in individuals. In addition, the BSI score may be associated with both homeostatic and circadian processes. Further studies are needed to confirm these findings in general populations and in patients with sleep disorders.
巴塞罗那嗜睡指数（BSI）是一种超短工具，在评估日间过度嗜睡（EDS）方面具有多个优点。本研究旨在分析法语版BSI在筛查EDS方面的有效性。我们使用在线问卷对一群学生进行了横断面研究。法语版BSI是通过严格的正向-反向翻译过程开发的。我们计算了BSI预测由爱泼华嗜睡量表（ESS）评估的EDS的判别特性，以及与其他睡眠指标的相关性。共有662名学生参与了该研究（平均年龄：20.9岁，76.0%为女性）。BSI得分（平均值 = 1.5 ± 1.0）与ESS得分呈强相关性（r = 0.47，p < 10−4），并且对ESS得分≥11评估的EDS具有可接受的判别能力（AUC = 0.742），最佳截断点为2，与原研究一致。BSI得分与睡眠剥夺和社会时差显著相关。因此，法语版BSI是一种用于个体EDS筛查的有效超短工具。此外，BSI得分可能与稳态和昼夜节律过程都有关。需要进一步的研究来在一般人群和睡眠障碍患者中证实这些发现。
