精简版流调中心抑郁量表在社区老年人中的信效度评价

发布时间：2018-03-09 22:04

本文选题：老年人　切入点：流调中心抑郁量表　出处：《中国现代医学杂志》2016年10期 　论文类型：期刊论文

【摘要】：目的对用拉西分析法(Rasch-Derived)得来的流调中心抑郁量表(CES-D)精简版(CES-D-R)进行信效度的监测,为社区老年人抑郁自评提供一种新的更加简便的工具。方法采用分层随机抽样,运用精简版量表CES-D-R对500名社区老年人进行问卷调查,运用SPSS 17.0和AMOS 17.0软件对所得数据进行统计分析。结果条目相关性分析结果显示,所有条目-总分均有显著性相关,与原流调中心抑郁量表(CES-D)做校标关联分析显示均显著相关,I-CVI为0.830~1.000,S-CVI/UA为0.860、S-CVI/Ave为0.970;EFA得到四因子结构方程模型,各条目共同度为0.701~0.834,累积方差贡献率为78.913%,对模型进行CFA得到CMIN/DF3,GFI、TLI、CFI均0.90,RMSEA0.08,PGFI0.50,除CMIN和AGFI外,均达到适配标准;Cronbachα系数为0.798,4个维度的Cronbachα系数分别为0.725、0.780、0.882和0.755,分半信度系数为0.769,ICC为0.798。结论精简版流调中心抑郁量表(CES-D-R)信效度良好,可用于社区老年人抑郁状况的评价。
[Abstract]:Objective to monitor the reliability and validity of CES-D-R, a simplified version of CES-D, obtained from Rasch-Derived by Rasch-Derived, and to provide a new and more convenient tool for self-assessment of depression in elderly people in community. Methods stratified random sampling was used. A questionnaire survey was conducted among 500 elderly people in the community with CES-D-R. The data were analyzed by SPSS 17.0 and AMOS 17.0. The results of item correlation analysis showed that all items-total scores were significantly related to each other. The correlation analysis with CES-D showed that there was a significant correlation between I-CVI and CES-DV, and the correlation between I-CVI and CES-DV was 0.830V 1.000, S-CVI / UA was 0.860 + S-CVI / Ave = 0.970 / EFA, and the four-factor structural equation model was obtained. The common degree of each item is 0.701 / 0.834, and the contribution rate of cumulative variance is 78.913.The CMINP / DF _ 3F _ I _ I _ I _ I _ I _ I _ I _ I _ I _ I _ (0.90) RMSEA _ (0.08) PGFI _ (0.50) are obtained by CFA, except for CMIN and AGFI. The Cronbach 伪 coefficients of the four dimensions were 0.725, 0.780, 0.882 and 0.755, respectively, and the split-half reliability coefficients were 0.776 9 and 0.7988.Conclusion the CES-D-RV is good in reliability and validity, and can be used to evaluate the depression status of the elderly in the community.
【作者单位】：辽宁省锦州市辽宁医学院护理学院;
【分类号】：R749.4

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