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非自愿性交后生殖器损伤的预测因素。

Predictors of genital injury after nonconsensual intercourse.

作者信息

Anderson Sarah L, Parker Barbara J, Bourguignon Cheryl M

机构信息

School of Nursing, University of Virginia, Charlottesville, VA 22908, USA.

出版信息

Adv Emerg Nurs J. 2009 Jul-Sep;31(3):236-47. doi: 10.1097/TME.0b013e3181afd306.

Abstract

Understanding differences in genital injuries after nonconsensual and consensual intercourse is an important element of prosecuting sexual assault cases. In order to determine if the injury patterns and total surface area of genital injuries can differentiate between the types of intercourse (consensual or non-consensual), eighty women were examined after non-consensual (retrospective chart review, n = 40) and consensual (recruited, n = 40) intercourse within 48 hours using colposcopy, toluidine blue dye, and digital photography to document genital injuries. Differences between types of injuries found in the nonconsensual and consensual groups, based on the univariate analysis, were found with the number of sites (NoS) with ecchymosis (p < 0.01) and NoS with redness (p < 0.01). Based on the logistic hierarchical regression model, 85% of the nonconsensual group and 90% of the consensual group were classified correctly by using the NoS with tears, ecchymosis, abrasions, and redness and SA of injury when controlling for time from intercourse to examination. The NoS with redness (p = 0.017), NoS with ecchymosis, and SA of injury (p = 0.039) were individually predictive. The NoS with ecchymosis were also a significant finding when addressed as an individual block (p < 0.001). In this small sample, exploratory study, while controlling for time, the injury patterns and total SA of genital injuries were able to correctly classify the nonconsensual group 85% of the time. Replication of this study with a larger sample is essential.

摘要

了解在非自愿性交和自愿性交后生殖器损伤的差异是起诉性侵犯案件的重要因素。为了确定生殖器损伤的模式和总面积是否能够区分性交类型(自愿或非自愿),对80名女性在非自愿性交(回顾性病历审查,n = 40)和自愿性交(招募,n = 40)后48小时内进行了检查,使用阴道镜检查、甲苯胺蓝染色和数码摄影记录生殖器损伤情况。基于单变量分析,在非自愿组和自愿组中发现的损伤类型之间的差异在于有瘀斑的部位数量(NoS)(p < 0.01)和有发红的部位数量(p < 0.01)。基于逻辑分层回归模型,在控制从性交到检查的时间时,使用有撕裂、瘀斑、擦伤和发红的部位数量以及损伤的总面积,85%的非自愿组和90%的自愿组被正确分类。有发红的部位数量(p = 0.017)、有瘀斑的部位数量和损伤的总面积(p = 0.039)具有个体预测性。当将有瘀斑的部位数量作为一个单独的变量时,也是一个显著发现(p < 0.001)。在这个小样本的探索性研究中,在控制时间的情况下,生殖器损伤的模式和总面积能够在85%的时间内正确分类非自愿组。用更大的样本重复这项研究至关重要。

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