Evidence map›Paper›PMID 41040101›Full record

ArticleFrontiers in psychology2025

Mental health profiles of migrants: a latent profile analysis of life satisfaction, psychological wellbeing, resilience and risk indicators.

Fatma Coşkun, Semra Kiye

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Fatma CoşkunDepartment of Educational Measurement and Evaluation, Faculty of Education, Kahramanmaraş Sütçü Imam University, Kahramanmaraş, Turkey.
Semra KiyeDepartment of Guidance and Psychological Counseling, Faculty of Education, Muş Alparslan University, Muş, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Migration is a global phenomenon that significantly impacts individuals' psychological wellbeing. 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 wellbeing, 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 wellbeing, 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 wellbeing and moderate risk, (2) high wellbeing and low risk, (3) high risk, and (4) low risk but moderate wellbeing. 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 wellbeing and resilience of migrant populations.

Indexed as

anxietydepressionlatent profile analysismental healthmigrantspsychological wellbeingresiliencestress

Identifiers

PMID41040101
PMCPMC12483998

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.