School of Nursing, University of Virginia, Charlottesville, VA, USA.
Department of Neurology, University of Virginia, Charlottesville, VA, USA.
Neurol Sci. 2023 Feb;44(2):547-556. doi: 10.1007/s10072-022-06427-8. Epub 2022 Oct 11.
Anxiety symptoms are the most common neuropsychiatric manifestation of Parkinson's disease (PD), contributing to decreased quality of life. Few longitudinal studies in PD samples have examined correlates of anxiety symptoms over time. Understanding predictor variables may help to identify novel targets for reducing anxiety in PD. The aim of this study was to identify predictors of anxiety symptoms over 3 years in a clinic-based PD cohort.
Our cohort included patients with PD at an academic medical center in the Southeastern United States (n = 105). Visits included assessment of motor, psychiatric, and cognitive features, including neuropsychological testing. For our multivariate model, we selected 11 predictor variables with the most existing evidence or theoretical support for an association with anxiety symptoms in PD. Multivariate linear mixed model regression was performed to determine which variables were significantly associated with anxiety symptoms over time.
Over half of participants (57%) met the screening threshold for an anxiety disorder at some point during the study. Independent predictors of anxiety symptoms over time included symptoms of REM sleep behavior disorder (RBD) and dysautonomia.
In this PD sample, RBD and dysautonomia symptoms were significantly associated with anxiety symptoms over time. Each of these relationships has been reported in one of two prior longitudinal studies. Unlike prior studies, cognitive impairment was not a significant predictor of anxiety symptoms in our sample. Future research should confirm the direction and mechanisms underlying these relationships, including the potential for anxiety symptom reduction through treatment for RBD and dysautonomia.
焦虑症状是帕金森病(PD)最常见的神经精神表现,导致生活质量下降。少数 PD 样本的纵向研究探讨了焦虑症状随时间的变化相关因素。了解预测变量可能有助于确定减少 PD 焦虑的新目标。本研究的目的是确定在基于诊所的 PD 队列中,3 年内焦虑症状的预测因素。
我们的队列包括美国东南部一家学术医疗中心的 PD 患者(n=105)。就诊时评估了运动、精神和认知特征,包括神经心理学测试。对于我们的多变量模型,我们选择了 11 个具有与 PD 中焦虑症状相关的最现有证据或理论支持的预测变量。采用多元线性混合模型回归来确定哪些变量与焦虑症状随时间的变化显著相关。
超过一半的参与者(57%)在研究过程中的某个时间点符合焦虑障碍的筛查标准。随时间变化的焦虑症状的独立预测因素包括 REM 睡眠行为障碍(RBD)和自主神经功能障碍的症状。
在这个 PD 样本中,RBD 和自主神经功能障碍症状与焦虑症状随时间的变化显著相关。这些关系中的每一个都在之前的两项纵向研究之一中得到了报道。与之前的研究不同,在我们的样本中,认知障碍不是焦虑症状的显著预测因素。未来的研究应确认这些关系的方向和机制,包括通过治疗 RBD 和自主神经功能障碍来减轻焦虑症状的可能性。