目的:本研究欲探討流行病學研究中心11題版本的憂鬱量表(CES-D)在台灣65歲以上老人的因素結構及其信度分析。方法:本研究採用次級資料進行探索性因素結構及信度分析。資料來源為中央研究院學術調查研究中心資料庫2007年『高齡社會的來臨:為2025年的台灣社會規劃之整合研究─不同世代對於老年生活的需求、服務提供以及價值偏好的調查研究(65歲以上)』之調查資料。結果:本研究探索性因素分析之結果以CES-D11題四因素之解釋量最佳,該四因素:憂鬱情緒(特徵值為3.42,可解釋變異量23.50%)、正向情緒(特徵值為1.21,可解釋變異量16.08%)、身體症狀(特徵值為0.74,可解釋變異量12.58%)及睡眠困擾(特徵值為0.52,可解釋變異量10.98%),積解釋總變異量為63.13%。這些因素與先前的研究發現不同。結論:本研究兩次探索性因素分析的結果發現以11題項CES-D來篩檢居住於台灣社區老人的憂鬱症狀,四個因素的結構是最佳結構。然而,在未來的研究與臨床上的應用方面,需依據本地文化進一步地進行修正與效度考驗。
Objectives: The purpose of the present study was to analyze the factor structure and reliability of the 11-item version of the Center for Epidemiological Studies Depression Scale (CES-D) among community dwelling older adults in Taiwan. Methods: This study was to conduct an exploratory factor and reliability analysis of the data using CES-D 11-item version of that study project. Data for this study were drawn from 1,308 elder persons who were under a study project entitled “The Social Survey on Attitude Towards Needs, Provision of Services, Preferences for Late Life: Perspectives from Different Generations” in Survey Research Data Archive (SRDA) 2007. Results: The result of two exploratory factor analyses showed that a four-factor model was the best structure. The four factors--Depressed Affect (eigenvalue 3.42 and 23.50% of variance), Positive Affect (eigenvalue 1.21 and 16.08% of variance), Somatic Problems (eigenvalue 0.74 and 12.58% of variance), and Sleep Disturbance (eigenvalue 0.52 and 10.98% of variance)-- had accumulated variance of 63.13%. Conclusion: The results of this study suggest that a four-factor model of general depression is the best structure for the 11-item version of CES-D, among community dwelling older adults in Taiwan. But it needs to refi ne and validate CES-D in the context of local culture for future research and clinical implication.