帕金森病患者日常生活活动表现的安全预测因素

Q4 Medicine
Tahereh Sefidi Heris, M. Akbarfahimi, Laleh Lajevardi
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引用次数: 3

摘要

背景:安全被认为是个人独立的重要因素。本研究的目的是确定疲劳、疾病持续时间、年龄、主要受累侧、性别和疾病严重程度等因素与安全性能的关系,并在帕金森病(PD)患者日常生活活动(ADL)的有效因素中确定安全预测因素。方法:60例帕金森病患者参与本研究。使用16项帕金森疲劳量表(PFS-16)评估疲劳,同时使用自我护理技能绩效评估(PASS)检查绩效安全性。采用SPSS 18对PASS安全性参数作为因变量和与性能安全性显著相关的自变量进行线性多元回归分析。结果:ADL安全性与疲劳(r=0.557;P<0.001)、疾病严重程度(r=0.558;P≤0.001)和年龄(r=-0.636;P<0.001。逐步多元线性回归模型显示年龄(F(1.58),39.32;P<0.001),R2为0.64可以预测ADL表现的安全性。结论:年龄、疲劳严重程度和疾病是PD患者ADL表现安全性的预测因素。为了对安全的ADL表现实施更有效的干预,康复团队应进行更详细的安全评估,特别关注疲劳、衰老和疾病严重程度对每项活动表现的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safety Predictors in Performance of Activities of Daily Living in Patients with Parkinson’s Disease
Background: Safety is recognized as an important factor in personal independence. The aim of this study was to determine the association of factors, such as fatigue, duration of disease, age, dominant involved body side, gender, and severity of disease with safety performance and to identify safety predictors among effective factors for activities of daily living (ADL) among patients with Parkinson’s disease (PD). Methods: Sixty patients with PD participated in this study. Fatigue was assessed using the 16-item Parkinson fatigue scale (PFS-16), while performance safety was examined with the performance assessment of self-care skills (PASS). Linear multiple regression analysis was performed between PASS safety parameter as the dependent variable and independent variables with significant correlations with performance safety, using SPSS version 18. Results: A significant relationship was observed between ADL safety and fatigue (r = 0.557; P < 0.001), disease severity (r = 0.558; P≤ -0.001), and age (r = -0.636; P < 0.001). Performance safety in physical and cognitive instrumental ADL showed the most significant correlation with fatigue severity. The stepwise multiple linear regression model revealed that age (F(1, 58), 39.32; P < 0.001) with an R2 of 0.64 could predict safety in ADL performance. Conclusions: Age, fatigue severity, and disease are predictors of performance safety in ADL among patients with PD. For implementing more effective interventions on safe ADL performance, rehabilitation teams should conduct more detailed safety assessments with a special focus on the effects of fatigue, aging, and disease severity on the performance of each activity.
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CiteScore
0.80
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