Kootker Joyce A, van Mierlo Maria L, Hendriks Jan C, Sparidans Judith, Rasquin Sascha M, de Kort Paul L, Visser-Meily Johanna M, Geurts Alexander C
Radboud University Medical Center, Donders Center for Neuroscience, Department of Rehabilitation, Nijmegen, The Netherlands.
University Medical Center Utrecht, and De Hoogstraat Rehabilitation, Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, Utrecht, The Netherlands.
Arch Phys Med Rehabil. 2016 Jun;97(6):919-28. doi: 10.1016/j.apmr.2016.01.019. Epub 2016 Feb 8.
To estimate the relative contribution of psychological factors next to sociodemographic and premorbid/stroke-related factors to the risk of developing symptoms of depression and anxiety after stroke.
Multicenter, longitudinal cohort study.
Patients after stroke from 6 general hospitals.
Patients (N=331) were included at stroke onset and followed up 2 and 12 months after stroke.
Not applicable.
Sociodemographic and premorbid/stroke-related information was recorded during hospital admission, whereas psychological characteristics were determined with postal questionnaires 2 months poststroke. Symptoms of depression and anxiety were assessed with the Hospital Anxiety and Depression Scale (HADS) 2 and 12 months poststroke. Multivariable logistic analysis was performed to analyze the influence of sociodemographic, premorbid/stroke-related, and psychological characteristics on depressive symptoms (depression subscale of HADS >7) and symptoms of anxiety (anxiety subscale of HADS >7) 1 year after stroke.
Early depression, stroke severity, posterior cerebral artery stroke, and neuroticism independently explained the variance of depressive symptoms 1 year poststroke (discriminative power, 83%; adjusted R(2) value, 36%). Neuroticism and early anxiety independently explained the variance of symptoms of anxiety 1 year poststroke (discriminative power, 88%; adjusted R(2) value, 44%). Based on these predictive models, nomograms were constructed to visually reflect the individual contribution of each risk factor to the development of long-term mood disorders after stroke.
Psychological characteristics are important risk factors for poststroke symptoms of depression and anxiety.
评估社会人口统计学因素以及病前/卒中相关因素之外,心理因素对卒中后出现抑郁和焦虑症状风险的相对贡献。
多中心纵向队列研究。
6家综合医院的卒中后患者。
331例患者在卒中发病时纳入研究,并在卒中后2个月和12个月进行随访。
不适用。
住院期间记录社会人口统计学和病前/卒中相关信息,卒中后2个月通过邮寄问卷确定心理特征。卒中后2个月和12个月使用医院焦虑抑郁量表(HADS)评估抑郁和焦虑症状。进行多变量逻辑分析,以分析社会人口统计学、病前/卒中相关和心理特征对卒中后1年抑郁症状(HADS抑郁分量表>7)和焦虑症状(HADS焦虑分量表>7)的影响。
早期抑郁、卒中严重程度、大脑后动脉卒中以及神经质独立解释了卒中后1年抑郁症状的变异(判别力,83%;调整后R(2)值,36%)。神经质和早期焦虑独立解释了卒中后1年焦虑症状的变异(判别力,88%;调整后R(2)值,44%)。基于这些预测模型,构建了列线图以直观反映各风险因素对卒中后长期情绪障碍发生的个体贡献。
心理特征是卒中后抑郁和焦虑症状的重要风险因素。