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脑卒中患者中流行病学研究中心抑郁量表的因子结构。

The factor structure of the center for epidemiologic studies depression scale in stroke patients.

机构信息

Department of Nursing, Dankook University, Chungnam, Republic of Korea.

出版信息

Top Stroke Rehabil. 2012 Jan-Feb;19(1):54-62. doi: 10.1310/tsr1901-54.

Abstract

PURPOSE

The purpose of this study is to investigate the factor structure of the Center for Epidemiologic Studies Depression (CES-D) scale in community-residing stroke patients.

METHODS

The sample for this study was a convenience sample of 203 persons who had experienced strokes and were in a convalescent center for the disabled and a primary care unit in Korea. Data were collected through a questionnaire that included the CES-D scale. Cognitive function was assessed by the validated Korean version of the Mini-Mental State Examination (MMSE-K). The structure of the CES-D scale was analyzed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using SPSS 17.0 and Amos 7.0. The reliability of the CES-D scale was assessed by calculating the internal consistency of Cronbach's α.

RESULTS

The 1-, 3-, and 4-factor models did not show the adequate fit indices. Two competing factor models were tested by CFA for the entire sample after identifying the factor structure using EFA. The 5-factor structure (loss of vitality, positive affect, psychomotor retardation, negative affect, and interpersonal problems) supported and explained 61.25% of the variance.

CONCLUSIONS

The results of this study suggest that the CES-D scale is a useful depressive symptom screening tool for community-residing stroke patients. Identifying the psychometric properties of the CES-D scale would help health professionals to understand the comprehensive assessment of community-residing stroke patients.

摘要

目的

本研究旨在探讨社区居住的中风患者中流行病学研究抑郁量表(CES-D)的结构因素。

方法

本研究的样本是 203 名经历过中风的人,他们在韩国的残疾人康复中心和初级保健单位。通过包括 CES-D 量表在内的问卷收集数据。认知功能通过经过验证的韩国版简易精神状态检查(MMSE-K)进行评估。使用 SPSS 17.0 和 Amos 7.0 通过探索性因素分析(EFA)和验证性因素分析(CFA)分析 CES-D 量表的结构。通过计算 Cronbach 的 α 来评估 CES-D 量表的可靠性。

结果

1、3 和 4 因子模型未显示出足够的拟合指数。在使用 EFA 确定因素结构后,对整个样本进行了 CFA 测试,以检验两种竞争的因子模型。5 因子结构(活力丧失、积极影响、精神运动迟缓、消极影响和人际关系问题)支持并解释了 61.25%的方差。

结论

本研究的结果表明,CES-D 量表是社区居住的中风患者有用的抑郁症状筛查工具。确定 CES-D 量表的心理测量特性将有助于卫生专业人员了解社区居住的中风患者的综合评估。

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