Zhu Ruhuang, Huang Haiping, Yu Yueting, Bao Shaorui, Lin Na, Shu Meichun
Department of Neurology Nursing Unit Ward 17, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Department of Neurology Nursing Unit Ward 361, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Front Aging Neurosci. 2024 Oct 21;16:1440163. doi: 10.3389/fnagi.2024.1440163. eCollection 2024.
This study aimed to analyse the relevant factors that may affect post-stroke fatigue (PSF) in patients with stroke and further explore the correlation between family functioning and PSF.
Patients who had experienced a first episode of stroke and were admitted to the Department of Neurology of the First Affiliated Hospital of Wenzhou Medical University were rigorously screened. The general data and family functioning of the patients on admission were collected, and their family adaptation, partnership, growth, affection and resolve scores and their PSF on the 5th day of admission were collected using the fatigue severity scale (FSS). Multiple linear regression analysis was then utilized to explore the factors affecting PSF in patients with stroke.
A total of 220 questionnaires were distributed, and 220 were returned, with 212 valid questionnaires and a valid return rate of 96.4%. These 212 patients had a family functioning score of 6.58 ± 2.00 and an FSS score of 36.62 ± 10.96. Spearman's correlation analysis showed negative correlations between the FSS scores and the adaptation, partnership, growth, affection, resolve and family functioning scores ( = -0.380, -0.505, -0.470, -0.303, -0.281 and -0.712, respectively; < 0.001). Furthermore, multiple linear regression analysis showed that family functioning (β' = -0.516), marital status (β' = -0.244), household income (β' = -0.185), literacy (β' = -0.181) and activities of daily living (β' = -0.084) were influential factors for PSF in patients with stroke ( < 0.05).
There is a significant negative correlation between family functioning and PSF, suggesting that better family functioning may help mitigate the severity of post-stroke fatigue. Healthcare providers should identify interventions to help patients and families address fatigue, boost disease recovery, promote patients' physical and mental health and improve their quality of life.
本研究旨在分析可能影响脑卒中患者脑卒中后疲劳（PSF）的相关因素，并进一步探讨家庭功能与PSF之间的相关性。
对首次发生脑卒中并入住温州医科大学附属第一医院神经内科的患者进行严格筛选。收集患者入院时的一般资料和家庭功能情况，并使用疲劳严重程度量表（FSS）收集患者入院第5天时的家庭适应、合作、成长、情感和解决问题得分以及PSF得分。然后采用多元线性回归分析探讨影响脑卒中患者PSF的因素。
共发放问卷220份，回收220份，有效问卷212份，有效回收率为96.4%。这212例患者的家庭功能得分为6.58±2.00，FSS得分为36.62±10.96。Spearman相关性分析显示，FSS得分与适应、合作、成长、情感、解决问题及家庭功能得分之间呈负相关（分别为r=-0.380、-0.505、-0.470、-0.303、-0.281和-0.712；P<0.001）。此外，多元线性回归分析显示，家庭功能（β′=-0.516）、婚姻状况（β′=-0.244）、家庭收入（β′=-0.185）、文化程度（β′=-0.181）和日常生活活动能力（β′=-0.084）是脑卒中患者PSF的影响因素（P<0.05）。
家庭功能与PSF之间存在显著负相关，提示良好的家庭功能可能有助于减轻脑卒中后疲劳的严重程度。医护人员应确定干预措施，以帮助患者及其家庭应对疲劳，促进疾病康复，增进患者身心健康，提高其生活质量。
