The impact of daily stressors on unaccompanied young refugees' mental health: A longitudinal study.

Previous research has shown the drastic impact of daily stressors on the mental health of unaccompanied young refugees (UYRs). This longitudinal study contributes to existing literature by distinguishing different kinds of daily stressors and examining their impact over time, in relation to stressful life events, legal status, and contact with family. We recruited N = 189 UYRs from diverse backgrounds in Greece, Italy, and Belgium, and conducted two additional waves of interviews, accompanying them for approximately 2 years on their migratory and settlement trajectories throughout Europe. Data were analyzed via growth curve modeling. Results showed that both material and social stressors have a long-term negative effect on anxiety and depression symptoms, while stressful life events only have a significant effect in the beginning of UYRs' trajectories. Having long-term documents and contact with family alleviate symptoms of depression. We discuss how these findings relate to previous research and what they imply for policy-makers and practitioners in the field. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Traumatic events, daily stressors and posttraumatic stress in unaccompanied young refugees during their flight: a longitudinal cross-country study.

BACKGROUND: Unaccompanied young refugees constitute an especially vulnerable population, reporting high rates of trauma and mental health problems. There is a significant gap in the literature on trauma and posttraumatic stress symptoms (PTSS) in unaccompanied young refugees who are still on the move and live in precarious circumstances such as refugee camps. This study therefore aimed to contribute to this gap by investigating pre- and peri-migration (potentially) traumatic experiences of unaccompanied young refugees; longitudinal trajectories of trauma, daily stressors and PTSS; and the impact of gender, trauma, and daily stressors on PTSS over time. METHODS: This longitudinal, mixed-method, and multi-country study was conducted in various settings (e.g. refugee camps, reception centers) across nine European countries. A heterogeneous sample of N = 187 unaccompanied young refugees (78.4% male) from 29 different countries was assessed via interviews at 3 time-points during a period of 27 months. Data was analyzed via growth curve modelling. RESULTS: Prevalence rates of (potentially) traumatic experiences ranged from 29.5 to 91.9%. Peri-migration traumatization remained stable over time (b = - 0.02; p = 0.371), but the number of reported daily stressors (b = - 0.24; p = 0.001) and PTSS scores significantly decreased over time (b = - 0.98; p = 0.004). Females reported higher PTSS compared with males at baseline (p = 0.002), but gender did not influence the longitudinal trajectory of PTSS. The pre-migration trauma load and daily stressors at baseline did not have a significant effect on PTSS at baseline or on the longitudinal trajectory. CONCLUSIONS: This is the first study to document not only the high numbers of traumatic events for unaccompanied young refugees pre- and peri- migration, but also the continued traumatization during flight, as well as high rates of daily stressors and PTSS. Humanitarian and political assistance is urgently needed to curb the often life-threatening conditions unaccompanied young refugees face during migration.

Mental Health of Refugee and Non-refugee Migrant Young People in European Secondary Education: The Role of Family Separation, Daily Material Stress and Perceived Discrimination in Resettlement.

While scholarly literature indicates that both refugee and non-refugee migrant young people display increased levels of psychosocial vulnerability, studies comparing the mental health of the two groups remain scarce. This study aims to further the existing evidence by examining refugee and non-refugee migrants' mental health, in relation to their migration history and resettlement conditions. The mental health of 883 refugee and 483 non-refugee migrants (mean age 15.41, range 11-24, 45.9% girls, average length of stay in the host country 3.75 years) in five European countries was studied in their relation to family separation, daily material stress and perceived discrimination in resettlement. All participants reported high levels of post-traumatic stress symptoms. Family separation predicted post-trauma and internalizing behavioral difficulties only in refugees. Daily material stress related to lower levels of overall well-being in all participants, and higher levels of internalizing and externalizing behavioral difficulties in refugees. Perceived discrimination was associated with increased levels of mental health problems for refugees and non-refugee migrants. The relationship between perceived discrimination and post-traumatic stress symptoms in non-refugee migrants, together with the high levels of post-traumatic stress symptoms in this subsample, raises important questions on the nature of trauma exposure in non-refugee migrants, as well as the ways in which experiences of discrimination may interact with other traumatic stressors in predicting mental health.

Mental Health of Refugees and Migrants during the COVID-19 Pandemic: The Role of Experienced Discrimination and Daily Stressors.

The COVID-19 pandemic is a defining global health crisis of our time. While the impact of COVID-19, including its mental health impact, is increasingly being documented, there remain important gaps regarding the specific consequences of the pandemic on particular population groups, including refugees and migrants. This study aims to uncover the impact of the COVID-19 pandemic on the mental health of refugees and migrants worldwide, disentangling the possible role of social and daily stressors, i.e., experiences of discrimination and daily living conditions. Descriptive analysis and structural equation modeling were used to analyze the responses of N = 20,742 refugees and migrants on the self-reporting global ApartTogether survey. Survey findings indicated that the mental health of refugees and migrants during the COVID-19 pandemic was significantly impacted, particularly for certain subgroups, (i.e., insecure housing situation and residence status, older respondents, and females) who reported experiencing higher levels of increased discrimination and increases in daily life stressors. There is a need to recognize the detrimental mental health impact of the COVID-19 pandemic on particular refugee and migrant groups and to develop interventions that target their unique needs.

Multilevel Factor Score Regression.

Multilevel SEM is an increasingly popular technique to analyze data that are both hierarchical and contain latent variables. The parameters are usually jointly estimated using a maximum likelihood estimator (MLE). This has the disadvantage that a large sample size is needed and misspecifications in one part of the model may influence the whole model. We propose an alternative stepwise estimation method, which is an extension of the Croon method for factor score regression. In this article, we extend this method to the multilevel setting. A simulation study was used to compare this new estimation method to the standard MLE. The Croon method outperformed MLE with regard to convergence rate, bias, MSE, and coverage, in particular when models contained a structural misspecification. In conclusion, the Croon method seems to be a promising alternative to MLE.

New Developments in Factor Score Regression: Fit Indices and a Model Comparison Test.

Factor score regression (FSR) is a popular alternative for structural equation modeling. Naively applying FSR induces bias for the estimators of the regression coefficients. Croon proposed a method to correct for this bias. Next to estimating effects without bias, interest often lies in inference of regression coefficients or in the fit of the model. In this article, we propose fit indices for FSR that can be used to inspect the model fit. We also introduce a model comparison test based on one of these newly proposed fit indices that can be used for inference of the estimators on the regression coefficients. In a simulation study we compare FSR with Croon's corrections and structural equation modeling in terms of bias of the regression coefficients, Type I error rate and power.

Hypothesis Testing Using Factor Score Regression: A Comparison of Four Methods.

In this article, an overview is given of four methods to perform factor score regression (FSR), namely regression FSR, Bartlett FSR, the bias avoiding method of Skrondal and Laake, and the bias correcting method of Croon. The bias correcting method is extended to include a reliable standard error. The four methods are compared with each other and with structural equation modeling (SEM) by using analytic calculations and two Monte Carlo simulation studies to examine their finite sample characteristics. Several performance criteria are used, such as the bias using the unstandardized and standardized parameterization, efficiency, mean square error, standard error bias, type I error rate, and power. The results show that the bias correcting method, with the newly developed standard error, is the only suitable alternative for SEM. While it has a higher standard error bias than SEM, it has a comparable bias, efficiency, mean square error, power, and type I error rate.