Severity profiles of posttraumatic stress, depression, anxiety, and somatization symptoms in treatment seeking traumatized refugees

Abstract

Background: Western countries are facing many challenges hosting refugees from several regions in the world. Many of them are severely traumatized and suffer from a variety of mental health symptoms, which complicates the identification and treatment of refugees at risk. This study examined subgroups based on a broad range of psychopathology, and several predictors, including trauma characteristics and gender. Methods: Participants were 1147 treatment-seeking, traumatized refugees. Latent profile analysis was conducted to identify different subgroups based on levels of posttraumatic stress disorder (PTSD), depression, anxiety, and somatic symptoms. Multinomial logistic regression was used to identify predictors of subgroup membership. Results: Three distinct subgroups were identified, reflecting Moderate (10.2%), Severe (43.0%), and Highly Severe (45.9%) symptom severity levels, respectively. Symptom severity of all psychopathology dimensions was distributed equally between the subgroups. Participants in the Severe and Highly Severe Symptoms subgroups reported more types of traumatic events compared to the Moderate subgroup. In particular, traumatic events associated with human right abuses, lack of human needs and separation from others predicted subgroup membership, as did gender. Limitations: The results are confined to treatment-seeking, traumatized refugee populations. Conclusions: Distinguishable symptom severity profiles of PTSD, depression, anxiety and somatic complaints could be identified in this large treatment-seeking refugee population, without qualitative differences in symptom distribution. Instead of focusing on specific mental disorders, classification based on overall symptom severity is of interest in severely traumatized patients. This knowledge will help to identify individuals at risk and to enhance existing treatment programs for specific patient groups.