COGNITIVE, PHYSICAL, AND PSYCHOLOGICAL FUNCTION AND QUALITY OF LIFE IN PATIENTS WITH STROKE—A NETWORK ANALYSIS

认知 生活质量(医疗保健) 蒙特利尔认知评估 物理医学与康复 心理学 冲程(发动机) 改良兰金量表 物理疗法 老年学 医学 临床心理学 精神科 认知障碍 缺血性中风 机械工程 缺血 工程类 心理治疗师
作者
Juan Li,Xiang‐Jing Kong,Hanzhang Xu,Qin Wang,Zhijian Liu,Bei Wu,Yanpei Cao,Nan Wang,Jessica West,Truls Østbye,Ying Xian,Matthew E. Dupre
出处
期刊:Innovation in Aging [University of Oxford]
卷期号:7 (Supplement_1): 200-200
标识
DOI:10.1093/geroni/igad104.0658
摘要

Abstract This study aimed to identify the dynamic associations across cognitive, physical and psychological function, and quality of life using network analysis among Chinese patients with acute ischemic stroke (AIS). We conducted a cross-sectional study in 2021 that included a total of 636 patients with AIS from three stroke centers in Shanghai, Nanjing, and Linyi, China. Participants completed a complex battery of measures of cognitive function (Montreal Cognitive Assessment, MoCA), physical function (Barthel Index, Modified Rankin Scale), psychological function (Epidemiological Studies Depression Scale, CES-D) and quality of life (short version of Stroke-specific Quality of life scale, SS-QOL). We used the Gaussian Graphical Modeling to estimate the network structure. Cognitive and physical function were important prerequisites to quality of life. Specifically, the most central nodes (strength) in the network were quality of life, attention (cognitive domain), transferring to a chair, caring perineum/cloth at toilet and walking (physical domain). Cognitive function, particularly visuospatial /executive function and attention, and physical (dressing, feeding and drinking, up and downstairs and transferring to a chair) were positively related to quality of life; whereas depressive symptoms and disability were negatively related to quality of life. Factors contributing to quality of life are complex in patients with AIS. Attention, visuospatial /executive function from cognitive function and transferring, caring at toilet and walking from physical function were central nodes to the quality of life network. Interventions that target cognitive and physical function may have a potential to improve quality of life for stroke patients.

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