West Virginia University Injury Control Research Center, Morgantown, USA.
Am J Mens Health. 2012 Jan;6(1):28-36. doi: 10.1177/1557988311414045. Epub 2011 Nov 21.
Sexual violence is a serious public health problem that has been associated with negative mental and physical health outcomes. Few existing studies have examined the prevalence and patterns of adverse mental health among victims of sexual violence using data from nationally representative samples of U.S. adults. The main objectives of this study were to identify patterns in the associations between sexual violence victimization and depression and anxiety (DA) symptoms using data from the sexual violence and DA Behavioral Risk Factor Surveillance System (BRFSS) modules. Stratified multivariate logistic regression models were conducted to test the associations between sexual violence victimization and DA controlling for demographic characteristics. Multiple stratified MANOVA models were used to detect the effect of sexual violence victimization on DA symptoms while controlling for key demographic characteristics. Among all 61,187 participants, more than 5% (n = 3,240) were victims of sexual violence, out of which 18.82% reported being diagnosed with depression, 8.37% reported an anxiety disorder, and 28.28% reported being diagnosed with DA disorder. Victims of sexual violence reported significantly higher number of days when they had trouble concentrating, sleep difficulties, poor appetite, little interest or pleasure in activities, blamed themselves for personal failure, felt depressed, and had little energy. The present study highlights the importance of collecting nationally representative data from victims of sexual violence and extends previous findings from clinically based studies. This study also serves as an example of an analytic approach that addresses a public health priority area by drawing on data from multiple topic-specific BRFSS modules.
性暴力是一个严重的公共卫生问题，与负面的身心健康结果有关。很少有研究使用美国成年人的全国代表性样本数据来研究性暴力受害者的不良心理健康的普遍性和模式。本研究的主要目的是使用性暴力和抑郁焦虑（DA）行为风险因素监测系统（BRFSS）模块的数据，确定性暴力受害与抑郁和焦虑（DA）症状之间关联的模式。采用分层多元逻辑回归模型来检验性暴力受害与 DA 之间的关联，同时控制人口统计学特征。采用多重分层 MANOVA 模型来检测性暴力受害对 DA 症状的影响，同时控制关键人口统计学特征。在所有 61187 名参与者中，有超过 5%（n=3240）是性暴力的受害者，其中 18.82%报告被诊断患有抑郁症，8.37%报告患有焦虑症，28.28%报告患有 DA 障碍。性暴力受害者报告了更多的注意力不集中、睡眠困难、食欲不振、对活动缺乏兴趣或乐趣、自责、抑郁和精力不足的日子。本研究强调了从性暴力受害者中收集全国代表性数据的重要性，并扩展了以前基于临床研究的发现。本研究还提供了一个分析方法的范例，通过利用来自多个特定主题 BRFSS 模块的数据，解决了公共卫生优先领域的问题。
