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德国成人健康访谈与检查调查 - 心理健康模块(DEGS1-MH)中精神障碍的十二个月患病率:方法学补遗与勘误

Twelve-months prevalence of mental disorders in the German Health Interview and Examination Survey for Adults - Mental Health Module (DEGS1-MH): a methodological addendum and correction.

作者信息

Jacobi Frank, Höfler Michael, Strehle Jens, Mack Simon, Gerschler Anja, Scholl Lucie, Busch Markus A, Hapke Ulfert, Maske Ulrike, Seiffert Ingeburg, Gaebel Wolfgang, Maier Wolfgang, Wagner Michael, Zielasek Jürgen, Wittchen Hans-Ulrich

机构信息

Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany.

Center of Epidemiology and Longitudinal Studies (CELOS), Technische Universität Dresden, Dresden, Germany.

出版信息

Int J Methods Psychiatr Res. 2015 Dec;24(4):305-13. doi: 10.1002/mpr.1479. Epub 2015 Jul 17.

Abstract

We recently published findings in this journal on the prevalence of mental disorders from the German Health Interview and Examination Survey for Adults Mental Health Module (DEGS1-MH). The DEGS1-MH paper was also meant to be the major reference publication for this large-scale German study program, allowing future users of the data set to understand how the study was conducted and analyzed. Thus, towards this goal highest standards regarding transparency, consistency and reproducibility should be applied. After publication, unfortunately, the need for an addendum and corrigendum became apparent due to changes in the eligible reference sample, and corresponding corrections of the imputed data. As a consequence the sample description, sample size and some prevalence data needed amendments. Additionally we identified a coding error in the algorithm for major depression that had a significant effect on the prevalence estimates of depression and associated conditions. This addendum and corrigendum highlights all changes and presents the corrected prevalence tables. Copyright © 2015 John Wiley & Sons, Ltd.

摘要

我们最近在本期刊上发表了关于德国成人心理健康模块健康访谈与检查调查(DEGS1 - MH)中精神障碍患病率的研究结果。DEGS1 - MH论文也旨在成为这个大规模德国研究项目的主要参考文献出版物,以便该数据集的未来使用者了解该研究是如何进行和分析的。因此,为了实现这一目标,应采用关于透明度、一致性和可重复性的最高标准。不幸的是,在论文发表后,由于合格参考样本的变化以及推算数据的相应修正,有必要发布一份补遗和勘误。结果,样本描述、样本量以及一些患病率数据需要修正。此外,我们在重度抑郁症算法中发现了一个编码错误,该错误对抑郁症及相关病症的患病率估计有重大影响。本补遗和勘误突出了所有更改内容,并给出了修正后的患病率表。版权所有© 2015约翰·威利父子有限公司。

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