Lausi Giulia, Cricenti Clarissa, Mari Emanuela, Burrai Jessica, Quaglieri Alessandro, Giannini Anna Maria, Barchielli Benedetta
Department of Psychology, Sapienza University of Rome, Rome, Italy.
Department of Dynamic, Clinical Psychology and Health, Sapienza University of Rome, Rome, Italy.
Front Psychol. 2024 Jul 19;15:1367489. doi: 10.3389/fpsyg.2024.1367489. eCollection 2024.
The issue of gender-based violence has been a public health problem for years. Considering its systemic nature, the possible consequences at the individual level on the psychological and cognitive wellbeing of victims have been examined. The present research aims to explore the differences in the various types and forms of violence.
A non-probability and convenience sample was used; a total of 83 participants joined the research. Inclusion criteria were minimum age of 18 years, female gender, and knowledge of the Italian language. Two non-parametric One-Way ANOVAs (Kruskal-Wallis) were performed according to the type of violence experienced and the type of self-reported abuse (i.e., no victimization, single victimization, complex victimization).
Results showed that victims of violence scored higher overall than non-victims on all subscales of the Depression, Anxiety, Stress Scale. Analyses among the three groups-no violence, single violence, and complex violence-showed no differences in any of the dimensions between those who experienced single and complex violence, while differences emerged between the "no victimization" group and the other groups. The results were discussed in relation to the existing literature on the topic, highlighting the limitations and future applications of the collected data.
基于性别的暴力问题多年来一直是一个公共卫生问题。考虑到其系统性本质,已经研究了其在个体层面上对受害者心理和认知健康可能产生的后果。本研究旨在探讨各种类型和形式的暴力之间的差异。
采用非概率便利样本;共有83名参与者加入了该研究。纳入标准为年龄至少18岁、女性以及懂意大利语。根据所经历的暴力类型和自我报告的虐待类型(即未受侵害、单次受侵害、复杂受侵害)进行了两项非参数单因素方差分析(克鲁斯卡尔 - 沃利斯检验)。
结果显示,在抑郁、焦虑、压力量表的所有子量表上,暴力受害者的总体得分均高于非受害者。对三组(无暴力、单次暴力和复杂暴力)的分析表明,经历单次暴力和复杂暴力的人在任何维度上均无差异,而“未受侵害”组与其他组之间存在差异。结合该主题的现有文献对结果进行了讨论,突出了所收集数据的局限性和未来应用。