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使用德语版流行病学研究中心抑郁量表(CES-D)通过电话进行抑郁症筛查

[Screening for depression by telephone using the German version of the Center for Epidemiological Studies Depression Scale (CES-D)].

作者信息

Stein Janine, Luppa Melanie, Mahnke Jette, Weyerer Siegfried, Schomerus Georg, Riedel-Heller Steffi G

机构信息

Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig.

Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim/Universität Heidelberg, Mannheim.

出版信息

Psychiatr Prax. 2014 Apr;41(3):135-41. doi: 10.1055/s-0033-1343176. Epub 2013 May 13.

DOI:10.1055/s-0033-1343176
PMID:23670784
Abstract

OBJECTIVE

Analyses of the reliability and validity of the German version of the Center for Epidemiological Studies Depression Scale (CES-D) and the assessment of normative values.

METHOD

A representative sample of 868 people (German population, 18 to 94 years) was assessed via structured interviews in a telephone survey.

RESULTS

According to the cut-off score of 16 points, 8.5 % of the total sample (11.0 % women and 5.6 % men) showed relevant depressive symptoms. When using the cut-off score of 22 points, 3.5 % of the subjects of the total sample, 4.2 % of the women and 2.5% of the men, were classified as depressed. The analysis of the psychometric properties of the instrument such as internal consistency, test-retest reliability, construct validity and factor structure revealed moderate to good results. Percentile standard values were determined.

CONCLUSION

The German version of the CES-D can be described as a reliable and valid instrument for detecting depressive symptoms. The present study offers current normative data for the specific use in telephone surveys.

摘要

目的

分析德国版流行病学研究中心抑郁量表(CES-D)的信度和效度,并评估常模值。

方法

通过电话调查中的结构化访谈,对868人(德国人群,18至94岁)的代表性样本进行评估。

结果

根据16分的临界值,总样本中的8.5%(女性为11.0%,男性为5.6%)表现出相关抑郁症状。使用22分的临界值时,总样本中的3.5%、女性中的4.2%和男性中的2.5%被归类为抑郁。对该工具的心理测量特性(如内部一致性、重测信度、结构效度和因子结构)的分析显示结果为中等至良好。确定了百分位标准值。

结论

德国版CES-D可被描述为检测抑郁症状的可靠且有效的工具。本研究提供了在电话调查中具体使用的当前常模数据。

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