Journal of psychosomatic research · 2019
Identifying subgroups of refugees from Syria resettled in Sweden based on multiple trauma exposures: A latent class analysis of trauma history and mental health outcomes.
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Sengoelge Mathilde, Johnson-Singh Charisse M, Mittendorfer-Rutz Ellenor, Vaez Marjan, Saboonchi Fredrik
Аннотация
OBJECTIVE: Many refugees have been subjected to pre-migratory trauma. Evidence is needed to address the heterogeneity within refugee populations in regard to patterns of multiple trauma exposures. This study identified subgroups within a refugee population displaying different profiles of multiple trauma exposures and assessed sociodemographic predictors and differences in mental health symptom severity across these classes.
METHODS: Study population consisted of 1215 refugees from Syria resettled in Sweden. Latent class analysis 3-step method for modelling predictors and outcomes and a class-specific weighted multigroup approach were used to identify classes of refugees using self-reported data on violent and non-violent trauma exposures, sociodemographic variables and symptom severity scores for depression, anxiety and PTSD.
RESULTS: Three classes were identified: class 1 'multiple violent and non-violent trauma' (39.3%, n = 546); class 2 'witnessing violence and multiple non-violent trauma' (40.8%, n = 569); and class 3 'low multiple non-violent trauma' (20.1%, n = 281). Trauma exposure and gender significantly predicted class membership. Male gender and highest severity of mental ill health defined class 1. Female gender predicted higher mental ill health within classes 1 and 2. Across all three classes living with a partner was associated with lower severity of mental ill health regardless of trauma exposure classes.
CONCLUSIONS: There are distinct patterns within refugee populations concerning exposure to multiple trauma. Violence is a primary marker for higher likelihood of multiple trauma exposures and severity of mental health. Gender predisposes individuals to trauma exposure and its outcomes differentially.
METHODS: Study population consisted of 1215 refugees from Syria resettled in Sweden. Latent class analysis 3-step method for modelling predictors and outcomes and a class-specific weighted multigroup approach were used to identify classes of refugees using self-reported data on violent and non-violent trauma exposures, sociodemographic variables and symptom severity scores for depression, anxiety and PTSD.
RESULTS: Three classes were identified: class 1 'multiple violent and non-violent trauma' (39.3%, n = 546); class 2 'witnessing violence and multiple non-violent trauma' (40.8%, n = 569); and class 3 'low multiple non-violent trauma' (20.1%, n = 281). Trauma exposure and gender significantly predicted class membership. Male gender and highest severity of mental ill health defined class 1. Female gender predicted higher mental ill health within classes 1 and 2. Across all three classes living with a partner was associated with lower severity of mental ill health regardless of trauma exposure classes.
CONCLUSIONS: There are distinct patterns within refugee populations concerning exposure to multiple trauma. Violence is a primary marker for higher likelihood of multiple trauma exposures and severity of mental health. Gender predisposes individuals to trauma exposure and its outcomes differentially.