Vold Jørn Henrik, Gjestad Rolf, Aas Christer F, Meland Eivind, Johansson Kjell Arne, Fadnes Lars Thore
Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.
Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Health Qual Life Outcomes. 2021 Mar 2;19(1):69. doi: 10.1186/s12955-021-01708-w.
Little attention has been paid to customising fatigue questionnaires for patients with Substance Use Disorders (SUDs). The present study aims to validate and shorten the nine-item Fatigue Severity Scale (FSS-9) and Visual Analogue Fatigue Scale (VAFS) for use with this population.
We used data from a nested cohort with annual health assessments with responses on the FSS-9 and VAFS. During the period 2016-2020, 917 health assessments were collected from 655 patients with SUD in Bergen and Stavanger, Norway. A total of 225 patients answered the health assessment at least twice. We defined baseline as the first annual health assessment when the health assessments were sorted chronologically per patient. We checked for internal consistency, and we used longitudinal confirmatory factor analysis (CFA) and linear mixed model (LMM) analysis to validate and shorten the FSS-9 and VAFS.
The internal consistency of the FSS-9 was excellent with a Cronbach's α of 0.94 at baseline and 0.93 at the second annual health assessment. When shortening the FSS-9 to a three-item FSS (FSS-3, items 5-7), the Cronbach's α was 0.87 at baseline and 0.84 at the second health assessment. The internal consistency was not affected when the VAFS was added to the FSS-3 and the FSS-9. The longitudinal CFA model showed a well-fitting model for the FSS-3 (χ = 13.33, degree of freedom = 8, P = 0.101). The LMM analysis showed equal linear changes at the individual level for the FSS-3 (slope: 0.00, P > 0.05) and FSS-9 (slope: 0.01, P > 0.05) between the health assessments.
The FSS-9 could be shortened to the FSS-3 with high validity and reliability for patients with SUDs and the addition of VAFS did not provide much added variability.
针对物质使用障碍（SUDs）患者定制疲劳问卷的研究较少。本研究旨在验证并缩短用于该人群的九项疲劳严重程度量表（FSS - 9）和视觉模拟疲劳量表（VAFS）。
我们使用了来自一个嵌套队列的数据，该队列进行年度健康评估，其中包含对FSS - 9和VAFS的回答。在2016年至2020年期间，从挪威卑尔根和斯塔万格的655名SUD患者中收集了917份健康评估数据。共有225名患者至少两次回答了健康评估问卷。我们将基线定义为按每位患者的时间顺序排列的首次年度健康评估。我们检查了内部一致性，并使用纵向验证性因子分析（CFA）和线性混合模型（LMM）分析来验证和缩短FSS - 9和VAFS。
FSS - 9的内部一致性极佳，基线时Cronbach's α为0.94，第二次年度健康评估时为0.93。将FSS - 9缩短为三项的FSS（FSS - 3，项目5 - 7）时，基线时Cronbach's α为0.87，第二次健康评估时为0.84。当将VAFS添加到FSS - 3和FSS - 9时，内部一致性未受影响。纵向CFA模型显示FSS - 3的模型拟合良好（χ = 13.33，自由度 = 8，P = 0.101）。LMM分析显示，在健康评估之间，FSS - 3（斜率：0.0, P > 0.05）和FSS - 9（斜率：0.01, P > 0.05）在个体水平上的线性变化相等。
对于SUD患者，FSS - 9可以缩短为FSS - 3，具有较高的有效性和可靠性，并且添加VAFS并没有提供太多额外的变异性。
