Mixed-methods study develops effective self-affirmation techniques to improve well-being in Syrian migrants, suggesting culturally tailored approaches are essential.
Self-affirmation interventions can protect individuals from perceived threats and enhance well-being. However, previous studies highlight the need to adapt these interventions to specific populations, particularly non-WEIRD ones, to achieve effective results. To our knowledge, this is the first study to use a mixed-methods participatory approach to develop self-affirmation techniques tailored to the threats Syrian forced migrants face during acculturation in European host societies. In the first qualitative study, 30 in-depth interviews explored threats encountered during acculturation, their negative effects and spontaneous self-affirmation mechanisms used to preserve well-being and self-image. A second experimental study assessed the effectiveness of tailored self-affirmation interventions. Three hundred and thirteen participants reported their acculturation orientations, read a threat-inducing text and were then assigned to one of three self-affirmation conditions (host-domain, heritage-domain or individual) or a control condition. We then measured hedonic well-being, self-esteem and a challenged sense of belonging. Contrast analysis showed that combined self-affirmation interventions enhanced hedonic well-being compared to control, particularly when aligned with individuals' acculturation orientations. Our studies contribute to the literature by developing culturally grounded interventions for a specific underrepresented population using mixed methods. Future research should test their effectiveness with similar forced migrant populations and continue adapting interventions to fit diverse cultural contexts and interindividual differences.
No takes yet. Share an insight, caveat, or question.
Alnajjar et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: