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ORIGINAL RESEARCH article

Front. Psychol.

Sec. Positive Psychology

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1643759

Mental Health Profiles of Migrants: A Latent Profile Analysis of Life Satisfaction, Psychological Well-Being, Resilience and Risk Indicators

Provisionally accepted
Fatma  CoşkunFatma Coşkun1*Semra  KiyeSemra Kiye2
  • 1Kahramanmaras Sütçü Imam University, Kahramanmaras, Türkiye
  • 2Mus Alparslan Universitesi, Muş, Türkiye

The final, formatted version of the article will be published soon.

Abstract Background: Migration is a global phenomenon that significantly impacts individuals' psychological well-being. Migrants often face a range of psychological stressors due to displacement, adjustment challenges, and trauma. Understanding how mental health indicators cluster in this population is essential for developing effective interventions. Aims: This study aimed to identify latent psychological profiles among migrants in Türkiye based on positive (life satisfaction, psychological well-being, resilience) and negative (depression, anxiety, stress) mental health indicators and to examine the demographic predictors of these profiles. Sample: The study included 436 adult migrants aged 18 to 64 residing in various provinces of Türkiye. A purposive sampling method was used to ensure diversity in characteristics such as gender, age, socioeconomic status, education level, and geographic location. Method: Participants completed validated self-report measures of life satisfaction, psychological well-being, resilience, depression, anxiety, and stress. Confirmatory factor analyses and reliability tests were conducted. Latent Profile Analysis (LPA) was used to identify distinct psychological profiles, and multinomial logistic regression was employed to examine demographic predictors of profile membership. Results: Four distinct psychological profiles were identified: (1) Moderate Well-Being and Moderate Risk, (2) High Well-Being and Low Risk, (3) High Risk, and (4) Low Risk but Moderate Well-Being. Age, gender, socioeconomic status, and education level were significant predictors of profile membership, while marital status was not. Higher age and lower income increased the likelihood of being in the high-risk group, whereas higher education was associated with better psychological outcomes. Conclusion: The findings highlight heterogeneity in migrants' psychological adjustment and underscore the importance of considering demographic diversity in mental health interventions. Tailored, culturally sensitive approaches may enhance the well-being and resilience of migrant populations.

Keywords: migrants, Mental Health, latent profile analysis, psychological well-being, Depression, Anxiety, stress, resilience

Received: 09 Jun 2025; Accepted: 20 Aug 2025.

Copyright: © 2025 Coşkun and Kiye. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Fatma Coşkun, Kahramanmaras Sütçü Imam University, Kahramanmaras, Türkiye

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