Department of Psychology, Catholic University Eichstaett-Ingolstadt, Eichstaett, Germany.
Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Eur J Psychotraumatol. 2024;15(1):2383525. doi: 10.1080/20008066.2024.2383525. Epub 2024 Jul 31.
Refugees and asylum seekers (ASRs) are frequently exposed to loss in addition to a variety of other stressors and often display high levels of various psychological symptoms. The study aimed to primarily determine clusters of prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and depression symptoms in bereaved ASRs and secondly identify predictors of cluster membership. Sociodemographic - and flight-related variables were investigated in exploratory analyses. ASRs in Germany ( = 92) with interpersonal loss exposure, i.e. at least one missing or deceased relative or friend, were assessed with interview-based questionnaires for PGD, PTSD, and depressive symptoms. We used k-means cluster analysis to distinguish symptom profiles and logistic regression analyses to identify predictors of cluster membership. We found a three-cluster-solution. The PGD-cluster (30%) was characterised predominantly by PGD symptoms, while the PGD/PTSD-cluster (32%) had high PGD and PTSD and moderate depressive symptoms. The resilient cluster (38%) showed low symptoms overall. insecure residence status predicted membership in the PGD and PGD/PTSD clusters relative to the resilient cluster, whilst higher attachment anxiety predicted membership in the PGD/PTSD cluster relative to the other clusters. Explorative analysis revealed duration of stay as a significant predictor. Findings can extend the current knowledge about different symptom profiles among bereaved ASRs in Europe. Insights to attachment - and migration-related variables distinguishing between these profiles offer starting points for interventions.
难民和寻求庇护者(ASR)除了经常面临各种其他压力源外,还经常表现出各种心理症状的高水平。该研究旨在主要确定丧亲的 ASR 中延长哀伤障碍(PGD)、创伤后应激障碍(PTSD)和抑郁症状的聚类,其次确定聚类成员的预测因素。在探索性分析中调查了社会人口统计学和飞行相关变量。在德国的 ASR(n=92)中,通过基于访谈的问卷评估了人际丧失暴露情况,即至少有一个失踪或已故的亲属或朋友,以评估 PGD、PTSD 和抑郁症状。我们使用 k-均值聚类分析来区分症状特征,使用逻辑回归分析来确定聚类成员的预测因素。我们发现了一个三聚类解决方案。PGD 聚类(30%)主要以 PGD 症状为特征,而 PGD/PTSD 聚类(32%)则具有高 PGD 和 PTSD 以及中度抑郁症状。弹性聚类(38%)总体症状较低。无保障的居住地位预测相对于弹性聚类,PGD 和 PGD/PTSD 聚类的成员身份,而较高的依恋焦虑预测相对于其他聚类的 PGD/PTSD 聚类的成员身份。探索性分析显示停留时间是一个重要的预测因素。这些发现可以扩展欧洲丧亲的 ASR 中不同症状特征的现有知识。区分这些特征的依恋和移民相关变量的见解为干预提供了起点。