Autistic Traits and Aggressive Behavior in Chinese College Students: A Serial Mediation Model and the Gender Difference

中国大学生自闭症特征与攻击行为:系列中介模型及性别差异

阅读:1

Abstract

BACKGROUND: The existence of aggressive behavior in autism spectrum disorders (ASD) raises questions about whether cognitive and emotional factors in social information processing play a role between autistic traits (ATs) and aggressive behavior in the general population, especially in the context of Chinese culture. Moreover, given a possible gender difference in these variables, the study aimed to examine the effect of ATs on aggressive behavior, and the potential mediating role of hostile attribution bias and alexithymia on this association, as well as gender difference. METHODS: 850 Chinese college students participated in the assessment, including their ATs, hostile attribution bias, alexithymia, and aggressive behavior. Pearson correlation, mediation effects analyses, and multiple-group comparison were conducted. RESULTS: The results indicated that ATs indirectly predicted increased aggressive behavior through attribution bias and alexithymia. Gender difference in mediating effects was revealed: ATs indirectly predicted increased aggressive behavior through the serial mediating effect only in males. CONCLUSION: Hostile attribution bias and alexithymia completely mediated the association between ATs and aggressive behavior, which contained the separate mediating effects of (a) hostile attribution bias and (b) alexithymia and the serial mediating effect of (c) hostile attribution bias and alexithymia. Gender differences in mediating effects were found only in the serial mediating effect, which was significant in males but not in females. The findings revealed the internal mechanism of ATs affecting aggressive behavior and gender difference, which have implications for the intervention of aggressive behavior of individuals with autism and those with high levels of ATs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。