Social Determinants of the Mental Health of Young Migrants

Background: Young migrants face particular risks to develop mental health problems. Discrimination and social support impact mental health, yet little is known about the differential impact thereof on mental health in newcomers, non-newcomer migrants, and nonmigrants. Aim: This study sheds light on mental health (posttraumatic stress, behavioral problems, hyperactivity, emotional distress, peer relationship problems, prosocial behavior) and the overall well-being of newcomers, non-newcomer migrants, and non-migrants. Furthermore, the impact of social support and discrimination on mental health is investigated. Method: Descriptive analysis and Structural Equation Modelling (SEM) were applied to analyze responses of 2,320 adolescents through self-report questionnaires in Finland, Sweden, and the UK. Results: Newcomers, non-newcomer migrants, and non-migrants have different psychological profiles. While newcomers suffer more from posttraumatic stress disorder (PTSD) and peer problems, non-newcomers and non-migrants report more hyperactivity. Discrimination strongly threatens all mental health dimensions, while support from family serves as a protective factor. Support from friends has a positive impact on PTSD among newcomers. Limitations: As this study has a cross-sectional design, conclusions about causality cannot be drawn. In addition, history of traumatic life events or migration trajectory was lacking, while it may impact mental health. Conclusion: Different mental health profiles of newcomers, non-newcomer migrants, and non-migrants point to the need for a tailored and diversified approach. Discrimination remains a risk factor for mental health, while family support is a protective factor for adolescents. Interventions that foster social support from friends would be especially beneficial for newcomers.acceptedVersionPeer reviewe

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.acceptedVersionPeer reviewe

Migrant Students’ Sense of Belonging and the Covid‐19 Pandemic: Implications for Educational Inclusion

This article investigates school belonging among migrant students and how this changed during the Covid‐19 pandemic. Drawing on quantitative data gathered from 751 migrant students in secondary schools in six European countries (Belgium, Denmark, Finland, Norway, Sweden, and the UK), we examined the impact of Covid‐19 school closures, social support, and post‐traumatic stress symptoms on changes in school belonging. Linear regression showed a non‐significant decrease in school belonging, and none of the studied variables had a significant effect on this change in our whole sample. However, sensitivity analysis on a subsample from three countries (Denmark, Finland, and the UK) showed a small but significant negative effect of increasing post‐traumatic stress symptoms on school belonging during Covid‐19 school closures. Given that scholarship on school belonging during Covid‐19 is emergent, this study delineates some key areas for future research on the relationship between wellbeing, school belonging, and inclusion.</p

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

Factor Score Regression, an alternative for SEM when dealing with complex models and small sample sizes

Devlieger I, Mayer A, Rosseel Y. Factor Score Regression, an alternative for SEM when dealing with complex models and small sample sizes. Presented at the 2015 Belgian Association for Psychological Sciences Meeting, Brussel, Belgium