潜在类模型
心理健康
压力源
难民
精神病理学
心理学
临床心理学
精神科
政治学
数学
统计
法学
作者
Yulisha Byrow,Belinda J. Liddell,Meaghan O’Donnell,Vicki Mau,Tadgh McMahon,Richard A. Bryant,Greg Benson,Angela Nickerson
标识
DOI:10.1016/j.psychres.2022.114494
摘要
Studies have documented the mental health effects of pre-migration trauma on resettled refugees and identified distinct psychological symptom profiles using person centred statistical techniques (e.g., latent class analysis; LCA). These techniques have advanced our understanding of the complex presentation of trauma and psychopathology in refugees. The current study employs LCA to examine patterns of exposure to stressors including post-migration stressors, allowing us to identify patterns of post-migration stress exposure and their association with mental health outcomes. Participants were 1085 Arabic, Farsi, Tamil, or English speaking adult refugees. Pre-migration trauma, post-migration stressors, PTSD, depression, anger, and functional impairment was measured. LCA was conducted to identify distinct classes of post-migration stressors and associations with mental health and adjustment in the resettlement environment. Latent class analysis revealed 5 classes of participants: high difficulties class (7.2%), immigration fear class (14.4%), social disconnection class (17.3%), moderate difficulties class (28.9%) and a low difficulties class (32.3%). Each of the five classes shared commonalities in addition to key differences associated with specific demographic characteristics and psychopathology. Post-migration stressors appear to map onto distinct profiles, which uniquely contribute to functional impairment and mental health outcomes in refugees. These findings have substantial implications for public health and social services working with resettled refugee communities.
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