日常认知功能障碍和抑郁症状可预测结节病患者的疲劳：一项前瞻性随访研究。
Everyday cognitive failure and depressive symptoms predict fatigue in sarcoidosis: A prospective follow-up study.
作者信息
Hendriks Celine, Drent Marjolein, De Kleijn Willemien, Elfferich Marjon, Wijnen Petal, De Vries Jolanda
机构信息
ILD Care Foundation Research Team, Ede, The Netherlands; Faculty of Medicine, Utrecht University, Utrecht, The Netherlands; ILD Center of Excellence, St. Antonius Hospital, Nieuwegein, The Netherlands.
ILD Care Foundation Research Team, Ede, The Netherlands; ILD Center of Excellence, St. Antonius Hospital, Nieuwegein, The Netherlands; Dept. of Pharmacology and Toxicology, Faculty of Health, Medicine and Life Science, Maastricht University, Maastricht, The Netherlands.
出版信息
Respir Med. 2018 May;138S:S24-S30. doi: 10.1016/j.rmed.2017.11.008. Epub 2017 Nov 20.
BACKGROUND
Fatigue is a major and disabling problem in sarcoidosis. Knowledge concerning correlates of the development of fatigue and possible interrelationships is lacking.
OBJECTIVE
A conceptual model of fatigue was developed and tested.
METHODS
Sarcoidosis outpatients (n = 292) of Maastricht University Medical Center completed questionnaires regarding trait anxiety, depressive symptoms, cognitive failure, dyspnea, social support, and small fiber neuropathy (SFN) at baseline. Fatigue was assessed at 6 and 12 months. Sex, age, and time since diagnosis were taken from medical records. Pathways were estimated by means of path analyses in AMOS.
RESULTS
Everyday cognitive failure, depressive symptoms, symptoms suggestive of SFN, and dyspnea were positive predictors of fatigue. Fit indices of the model were good.
CONCLUSIONS
The model validly explains variation in fatigue. Everyday cognitive failure and depressive symptoms were the most important predictors of fatigue. In addition to physical functioning, cognitive and psychological aspects should be included in the management of sarcoidosis patients.
背景
疲劳是结节病中的一个主要且致残的问题。目前缺乏关于疲劳发生的相关因素及可能的相互关系的知识。
目的
建立并测试一个疲劳的概念模型。
方法
马斯特里赫特大学医学中心的结节病门诊患者（n = 292）在基线时完成了关于特质焦虑、抑郁症状、认知失误、呼吸困难、社会支持和小纤维神经病变（SFN）的问卷调查。在6个月和12个月时评估疲劳情况。性别、年龄和诊断后的时间取自病历。通过AMOS中的路径分析估计路径。
结果
日常认知失误、抑郁症状、提示SFN的症状和呼吸困难是疲劳的正向预测因素。该模型的拟合指数良好。
结论
该模型有效地解释了疲劳的变化。日常认知失误和抑郁症状是疲劳最重要的预测因素。除了身体功能外，结节病患者的管理还应包括认知和心理方面。
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