Impact of Demographic and Deployment Related Factors on Structured Inventory of Malingered Symptomatology Performance in Veterans and Service Members.

Maya Troyanskaya, Huda Abu-Suwa, Randall S Scheibel, Nicholas J Pastorek
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Abstract

Background: Screening for feigning and exaggeration in military populations is necessary for accurate interpretation of findings in clinical and research settings. The Structured Inventory of Malingered Symptomatology (SIMS) is a commonly used symptom validity measure, but little is known about the impact of non-clinical factors on its performance. The primary objective of this study was to examine relationships among demographic and deployment-related characteristics and SIMS performance in a cohort of veterans and reservists.

Methods: One hundred and sixty-two participants with a history of combat deployment completed the SIMS and a measure of combat exposure. Demographic and deployment-related information was also collected. Multiple linear regression models were created to determine the impact of demographic and deployment-related factors on the SIMS total score and scale scores.

Results: Higher SIMS total scores were associated with more severe combat exposure, being unemployed, being married or divorced as opposed to being single, and fewer years of education. Higher Neurological Impairment scale scores were associated with being unemployed, being married or divorced, fewer years of education, and older age. Furthermore, higher amnestic disorders scale scores were associated with more severe combat exposure and being unemployed, and higher affective disorders scale scores were associated with more severe combat exposure, fewer years of education, and older age.

Discussion: Notable relationships between SIMS scores and several demographic and deployment-related factors were identified. This was the first study that examined relations of demographic and deployment factors and SIMS performance in a military population.

人口统计学和部署相关因素对退伍军人和服役人员装病症状表现结构化量表的影响
背景:在军事人群中筛查假装和夸大是准确解释临床和研究结果的必要条件。摘要结构量表是一种常用的症状效度量表,但非临床因素对其有效性的影响尚不清楚。本研究的主要目的是探讨退伍军人和预备役军人的人口统计学和部署相关特征与SIMS绩效之间的关系。方法:有战斗部署史的162名参与者完成了模拟人生和战斗暴露的测量。还收集了人口统计和与部署有关的资料。建立多元线性回归模型,确定人口统计学和部署相关因素对SIMS总分和量表得分的影响。结果:更高的SIMS总分与更严重的战斗经历、失业、已婚或离婚(而不是单身)以及更少的受教育年限有关。较高的神经损伤量表得分与失业、已婚或离婚、受教育年限较短和年龄较大有关。此外,较高的遗忘障碍量表得分与更严重的战斗暴露和失业有关,而较高的情感障碍量表得分与更严重的战斗暴露、更少的教育年限和更大的年龄有关。讨论:确定了SIMS分数与几个人口统计学和部署相关因素之间的显著关系。这是第一次研究人口统计和部署因素与军事人口中的SIMS表现的关系。
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