Klimt Franziska, Brähler Elmar, Stöbel-Richter Yve, Zenger Markus, Berth Hendrik
Psychosoziale Medizin und Entwicklungsneurowissenschaften, Forschungsgruppe Angewandte Medizinische Psychologie und Medizinische Soziologie, Universitätsklinikum Carl Gustav Carus, Dresden, Deutschland.
Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Deutschland.
Psychother Psychosom Med Psychol. 2023 Jun;73(6):240-245. doi: 10.1055/a-1990-0651. Epub 2023 Feb 6.
Sleep disturbances are one of the most prevalent health complaints in the general population. Thus, the need for validated screening instruments and prevention measures is high. The aim of the current study is to evaluate a potential single-item screening instrument and therefore, contribute to an improved early detection.
Data from Saxony Longitudinal Study (SLS) is being analyzed. Based on data of 32nd wave (n=321, 172 women, 149 men, M age=48.42, SD=0.64), the G-Score Item #3 ("Have you had the following complaints in the last 12 months? Please indicate how often they occurred. - sleeplessness"), a potential screening instrument, is psychometrically evaluated. A Receiver Operating Characteristic (ROC)-Analysis is calculated to assess the predictive validity of the G-Score Item #3.
Retestreliability for the G-Score Item #3 is 0.70 (p<0.001). Correlation with the Jenkins Sleep Scale (JSS) was r=0.79 (p<0.01). The area under the curve (AUC) is 0.92, providing evidence for a very good predictive validity.
This study provides evidence for the use of the G-Score Item #3 as a screening instrument for sleep disturbances by showing good psychometric properties and brevity.
睡眠障碍是普通人群中最常见的健康问题之一。因此,对经过验证的筛查工具和预防措施的需求很高。本研究的目的是评估一种潜在的单项筛查工具,从而有助于改进早期检测。
正在分析萨克森纵向研究(SLS)的数据。基于第32轮数据(n = 321,172名女性,149名男性,平均年龄 = 48.42,标准差 = 0.64),对潜在的筛查工具G评分项目#3(“在过去12个月里您是否有以下症状?请指出它们出现的频率。——失眠”)进行心理测量评估。计算受试者工作特征(ROC)分析以评估G评分项目#3的预测效度。
G评分项目#3的重测信度为0.70(p < 0.001)。与詹金斯睡眠量表(JSS)的相关性为r = 0.79(p < 0.01)。曲线下面积(AUC)为0.92,证明具有非常好的预测效度。
本研究通过展示良好的心理测量特性和简洁性,为使用G评分项目#3作为睡眠障碍的筛查工具提供了证据。