👤 Semra Kiye

The aim of this study is to identify psychological wellbeing profiles based on the variables of tolerance, patience, compassion satisfaction, and psychological flexibility within the context of Türkiye sample, and to examine whether these profiles differ across demographic subgroups. The study was conducted with Data were collected using the Patience Scale, Compassion Satisfaction Scale, Tolerance Scale, Psychological Flexibility Scale, and Psychological Well-Being Scale. The construct validity of the scales was tested through confirmatory factor analysis (CFA), and the fit indices were found to be at acceptable levels. Internal consistency was confirmed using Cronbach's alpha coefficients. Latent profile analysis (LPA) was used to identify distinct psychological profiles. The relationship between participant profiles and socio-demographic variables was examined using the chi-square test. Considering parsimony and theoretical interpretability, a three-cluster solution was selected as the final model. The profiles corresponded to high, moderate, and low levels across all indicators and were labeled as "High," "Moderate," and "Low Psychological Well-Being and Psychological Resources." Correlations among the variables were generally found to be moderately positive. After considering demographic variables, it was found that profiles with higher psychological wellbeing and psychological resources were associated with being female, married, and having a high level of education. Overall, the findings suggest that psychological wellbeing in Türkiye sample can be better understood through heterogeneous subgroups and provide insights for the design of culturally sensitive interventions and programs. Show less

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. 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. 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. 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. 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. 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. Show less