Division of Clinical Epidemiology, McGill University Health Centre, 687 Pine Ave, Montreal, QC H3A 1A1, Canada.
Rheumatol Int. 2011 Apr;31(4):473-80. doi: 10.1007/s00296-009-1250-7. Epub 2009 Dec 20.
The objectives of this study are to characterize fatigue in patients with spondyloarthropathy (SpA) using a multidimensional assessment and to delineate contributors to dimensions of fatigue. Fatigue in 125 participants with SpA was assessed using the Multidimensional Fatigue Inventory (MFI-20). Participants completed standardized questionnaires assessing sleep quality, depressed mood, perceived stress, social support, leisure time physical activity, functional capacity, and disease activity. Hierarchical multiple regressions were computed to identify contributors to physical and mental fatigue. Patients scored high on all five MFI-20 fatigue dimensions, with general fatigue and physical fatigue having the highest scores. A hierarchical multiple regression showed that worse functional capacity, greater perceived stress, more depressed mood and less participation in leisure time physical activity contributed to higher physical fatigue scores. The results of the second model found depressed mood to be the strongest determinant of mental fatigue, followed by poorer sleep quality and younger age. These findings indicate that fatigue in SpA is a multidimensional experience, with physical and mental aspects likely having different etiologies. A number of variables potentially amenable to treatment were found to be associated with physical and mental fatigue. A multidimensional assessment of fatigue in SpA is needed to tailor and optimize interventions aimed at alleviating fatigue.
本研究的目的是使用多维评估来描述脊柱关节炎(SpA)患者的疲劳特征,并阐明疲劳各维度的影响因素。使用多维疲劳量表(MFI-20)评估了 125 名 SpA 患者的疲劳情况。参与者完成了评估睡眠质量、抑郁情绪、感知压力、社会支持、休闲时间体力活动、功能能力和疾病活动的标准化问卷。计算了分层多元回归,以确定身体和精神疲劳的影响因素。患者在 MFI-20 的所有五个疲劳维度上得分都很高,其中一般疲劳和身体疲劳得分最高。分层多元回归显示,功能能力越差、感知压力越大、抑郁情绪越严重、休闲时间体力活动参与度越低,与更高的身体疲劳评分相关。第二个模型的结果表明,抑郁情绪是精神疲劳的最强决定因素,其次是睡眠质量较差和年龄较小。这些发现表明,SpA 中的疲劳是一种多维体验,身体和心理方面可能具有不同的病因。发现一些潜在的可治疗的变量与身体和精神疲劳有关。需要对 SpA 中的疲劳进行多维评估,以针对缓解疲劳的干预措施进行定制和优化。