Suppr超能文献

帕金森病淡漠量表的因子分析

Factor Analysis of the Apathy Scale in Parkinson's Disease.

作者信息

Lopez Francesca V, Eglit Graham M L, Schiehser Dawn M, Pirogovsky-Turk Eva, Litvan Irene, Lessig Stephanie, Filoteo J Vincent

机构信息

Veterans Administration San Diego Healthcare System San Diego California USA.

Department of Psychiatry University of California San Diego La Jolla California USA.

出版信息

Mov Disord Clin Pract. 2019 Apr 30;6(5):379-386. doi: 10.1002/mdc3.12767. eCollection 2019 Jun.

Abstract

BACKGROUND

The Apathy Scale (AS), a popular measure of apathy in Parkinson's disease (PD), has been somewhat limited for failing to characterize dimensions of apathy, such as those involving cognitive, behavioral, and emotional apathy symptoms. This study sought to determine whether factors consistent with these apathy dimensions in PD could be identified on the AS, examine the associations between these factors and disease-related characteristics, and compare PD patients and healthy control (HCs) on identified factors.

METHODS

Confirmatory (CFA) and exploratory factor analysis (EFA) were conducted on AS scores of 157 nondemented PD patients to identify AS factors. These factors were then correlated with important disease-related characteristics, and PD and HC participants were compared across these factors.

RESULTS

Previously proposed AS models failed to achieve an adequate fit in CFA. A subsequent EFA revealed two factors on the AS reflecting joint cognitive-behavioral aspects of apathy (Motivation-Interest-Energy) and emotional apathy symptoms (Indifference). Both factors were associated with anxiety, depression, health-related quality of life, and independent activities of daily living, with Indifference associated more with the latter. In addition, only the Indifference factor was associated with cognitive functioning. PD patients reported higher levels of symptoms than HCs on both factors, with the group difference slightly larger on the Motivation-Interest-Energy factor.

CONCLUSION

The AS can be decomposed into two factors reflecting Motivation-Interest-Energy and Indifference symptoms. These factors are differentially associated with clinical variables, including cognition and independent activities of daily living, indicating the importance of evaluating apathy from a multidimensional perspective.

摘要

背景

冷漠量表(AS)是帕金森病(PD)中常用的一种冷漠测量工具,但由于未能对冷漠的维度进行特征描述,例如涉及认知、行为和情感冷漠症状的维度,其应用受到一定限制。本研究旨在确定是否可以在AS量表上识别出与PD中这些冷漠维度一致的因素,研究这些因素与疾病相关特征之间的关联,并比较PD患者和健康对照者(HCs)在已识别因素上的差异。

方法

对157名无痴呆的PD患者的AS评分进行验证性因素分析(CFA)和探索性因素分析(EFA),以识别AS量表的因素。然后将这些因素与重要的疾病相关特征进行相关性分析,并比较PD患者和HC参与者在这些因素上的差异。

结果

先前提出的AS模型在CFA中未能达到充分拟合。随后的EFA揭示了AS量表上的两个因素,分别反映了冷漠的联合认知-行为方面(动机-兴趣-活力)和情感冷漠症状(冷漠)。这两个因素均与焦虑、抑郁、健康相关生活质量和日常生活独立活动相关,其中冷漠与后者的相关性更强。此外,只有冷漠因素与认知功能相关。PD患者在这两个因素上报告的症状水平均高于HCs,在动机-兴趣-活力因素上的组间差异略大。

结论

AS量表可分解为反映动机-兴趣-活力和冷漠症状的两个因素。这些因素与包括认知和日常生活独立活动在内的临床变量存在差异关联,表明从多维角度评估冷漠的重要性。

相似文献

1
Factor Analysis of the Apathy Scale in Parkinson's Disease.帕金森病淡漠量表的因子分析
Mov Disord Clin Pract. 2019 Apr 30;6(5):379-386. doi: 10.1002/mdc3.12767. eCollection 2019 Jun.
3
Dimensions of apathy in Parkinson's disease.帕金森病患者的冷漠维度。
Brain Behav. 2023 Jun;13(6):e2862. doi: 10.1002/brb3.2862. Epub 2023 May 18.
4
Apathy dimensions in Parkinson's disease.帕金森病的淡漠维度。
Int J Geriatr Psychiatry. 2018 Jan;33(1):151-158. doi: 10.1002/gps.4697. Epub 2017 Feb 28.
8
The Parkinson's Active Living (PAL) Program.帕金森积极生活(PAL)项目。
J Geriatr Psychiatry Neurol. 2017 Jan;30(1):11-25. doi: 10.1177/0891988716673467. Epub 2016 Oct 17.

引用本文的文献

本文引用的文献

7
Apathy in aging: are lack of interest and lack of initiative dissociable?老年人淡漠:缺乏兴趣和缺乏主动性可以分开吗?
Arch Gerontol Geriatr. 2014 Jan-Feb;58(1):43-50. doi: 10.1016/j.archger.2013.09.002. Epub 2013 Sep 14.
10
Apathy and depression in Parkinson's disease: the Belgrade PD study report.帕金森病中的冷漠和抑郁:贝尔格莱德 PD 研究报告。
Parkinsonism Relat Disord. 2012 May;18(4):339-42. doi: 10.1016/j.parkreldis.2011.11.020. Epub 2011 Dec 13.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验