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What Are the Personality and Trauma Dynamics That Contribute to Posttraumatic Growth?

机译:人格和创伤的动力是什么导致创伤后成长?

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The goal of the current study is to explore the impact of different trauma types and some personality dynamics and their interactions on enhancing or impeding posttraumatic growth (PTG). We proposed a framework that describes such interactions based on the dual information processing systems theory. A sample of 620 college students from two Egyptian universities was tested. We used the Almost Perfect Measure (i.e., high standards, order, and self-discrepancy) to measure in part the precognitive value processing system (VPS), along with measures of PTG, posttraumatic stress disorder (PTSD), complex PTSD, as well as a cumulative trauma scale that measures different trauma types. We used path analysis to test the proposed framework. Results confirmed the basic premises of the framework and replicated previous findings of the differential contribution of trauma types (based on their severity) to PTG. Striving for "standards" and "order" contributed significantly to PTG and predicted a significant reduction in mental health syndromes whereas self-discrepancy predicted decreases in PTG and increases in mental health symptoms. Furthermore, the results highlighted some of the trajectories resulted from the interface among personality dynamics, trauma severity, and suffering. We discuss the implications of the results for future research and interventions.
机译:当前研究的目的是探索不同的损伤类型和一些的影响人格动力学及其交互促进或阻碍创伤后成长(PTG)。我们提出一个框架,描述等基于双重信息的交互处理系统理论。两名埃及大学的大学生进行了测试。(例如,高标准、秩序和自我差异)测量部分预知的价值处理系统(VPS)PTG的措施,创伤后压力障碍(PTSD),复杂的创伤后应激障碍,以及累积创伤规模措施不同创伤类型。提出了框架。框架的前提和复制之前发现的微分的贡献创伤类型PTG(基于他们的严重性)。追求“标准”和“秩序”的贡献明显PTG和预测意义重大在心理健康症状而减少自我差异减少PTG和预测增加心理健康症状。结果突出显示的轨迹导致人格之间的接口动力学、创伤严重程度,和痛苦。讨论的结果的影响未来的研究和干预措施。

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