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布鲁内尔情绪量表在筛查军人创伤后应激风险中的临床效用。

Clinical utility of the brunel mood scale in screening for post-traumatic stress risk in a military population.

作者信息

van Wijk Charles H, Martin Jarred H, Hans-Arendse Chesray

机构信息

Institute for Maritime Medicine, Naval Base Simon's Town, Private Bag X 1, Simon's Town 7995, South Africa.

出版信息

Mil Med. 2013 Apr;178(4):372-6. doi: 10.7205/MILMED-D-12-00422.

Abstract

Measures of mood states and post-traumatic stress (PTS) symptoms are commonplace in many studies. However, the conventional application of these measures conjointly raises questions whether they actually correlate, and whether mood states have a meaningful role in predicting PTS symptoms. This study aimed to assess the degree to which the Brunel Mood Scale (BRUMS) and the Impact of Event Scale-Revised (IES-R) would be useful in detecting adverse psychological experiences (e.g., PTS). A sample of South African Navy sailors (N = 103) completed the BRUMS during demobilization after a traumatic deployment, and 6 weeks later completed a repeat BRUMS and the IES-R. Significant correlations were found between some BRUMS and IES-R subscales, but the lack of other subscale correlations indicates that the two measures probably tap different expressions of psychological distress following exposure to adverse events. Greater mood distress correlated with more severe PTS. A BRUMS total mood distress score cutoff of ≥24 gave a sensitivity of 100% and specificity of 79% for severe PTS 6 weeks later. Using a BRUMS score of ≥24 at demobilization to assess for possible elevated PTS response later could be useful in the screening of large groups of people.

摘要

情绪状态和创伤后应激(PTS)症状的测量在许多研究中很常见。然而,这些测量方法的常规联合应用引发了一些问题,即它们是否真的相关,以及情绪状态在预测PTS症状方面是否具有有意义的作用。本研究旨在评估布鲁内尔情绪量表(BRUMS)和事件影响量表修订版(IES-R)在检测不良心理体验(如PTS)方面的有用程度。一组南非海军水手样本(N = 103)在一次创伤性部署后的复员期间完成了BRUMS,6周后完成了重复的BRUMS和IES-R。在一些BRUMS和IES-R子量表之间发现了显著相关性,但其他子量表缺乏相关性表明这两种测量方法可能反映了接触不良事件后心理痛苦的不同表现形式。更大的情绪困扰与更严重的PTS相关。BRUMS总情绪困扰得分≥24时,对6周后的严重PTS的敏感性为100%,特异性为79%。在复员时使用BRUMS得分≥24来评估之后可能升高的PTS反应,这在对大量人群的筛查中可能是有用的。

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