Thompson Martie P, Swartout Kevin M, Koss Mary P
Department of Public Health Sciences, Clemson University.
Psychol Violence. 2013 Jul 1;3(3):247-259. doi: 10.1037/a0030624.
To assess longitudinal trajectories of college males' sexually aggressive behaviors and determine time-varying individual- and peer-level risk factors that differentiate men who follow these different paths.
Our analytic sample consisted of 795 men who participated in a longitudinal study on high-risk behaviors among college students. The sample was surveyed at the end of each of their four years at university on a variety of measures, including sexual aggression (SA) and its hypothesized risk factors (hostile masculinity, number of sexual partners, alcohol misuse, and peer norms).
Using latent growth mixture modeling, we found four distinct SA trajectories - (1) consistently high, (2) decreasing, (3) increasing, and (4) consistently low. Multinomial logistic regression revealed that hostile masculinity and peer norms positively predicted trajectory membership at times when each trajectory reflected a high level of SA.
Our study adds to the knowledge base by elucidating the different ways sexually aggressive behaviors change during emerging adulthood and how confluence model-derived factors predict the different trajectories. The finding that changes over time in these risk factors correspond with SA perpetration risk informs prevention programming by illuminating the importance of focus on these risk factors throughout the college years, perhaps through annual self-assessments.
评估大学男性性侵犯行为的纵向轨迹,并确定随时间变化的个体和同伴层面的风险因素,以区分遵循不同轨迹的男性。
我们的分析样本包括795名参与大学生高危行为纵向研究的男性。在他们大学四年的每一年结束时,对样本进行了各种测量调查,包括性侵犯(SA)及其假设的风险因素(敌对男性气质、性伴侣数量、酒精滥用和同伴规范)。
使用潜在增长混合模型,我们发现了四种不同的SA轨迹——(1)持续高,(2)下降,(3)上升,和(4)持续低。多项逻辑回归显示,当每条轨迹反映出高水平的SA时,敌对男性气质和同伴规范能正向预测轨迹归属。
我们的研究通过阐明成年早期性侵犯行为变化的不同方式以及融合模型衍生因素如何预测不同轨迹,增加了知识库。这些风险因素随时间的变化与SA实施风险相对应的发现,通过揭示在整个大学期间关注这些风险因素的重要性,为预防规划提供了信息,或许可以通过年度自我评估来实现。