Unveiling Social Exclusion Among Syrians Under Temporary Protection in Türkiye: Psychosocial Insights


BAYRAM ARLI N., Aksoy F., Yenilmez N.

Journal of International Migration and Integration, 2026 (ESCI, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1007/s12134-026-01369-y
  • Dergi Adı: Journal of International Migration and Integration
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, ABI/INFORM, American History and Life, Geobase, Historical Abstracts, Political Science Complete, Public Affairs Index
  • Anahtar Kelimeler: Individuals under temporary protection, Life satisfaction, Logistic regression, Loneliness, Migration, Social exclusion
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Migrationrelated social exclusion is typically examined through structural indicators such as legal status, employment, housing, and access to services. However, the psychosocial experiences that accompany these structural barriers, especially loneliness and overall life satisfaction, remain understudied in quantitative research on displaced populations. This study contributes to this gap by examining how psychosocial factors, together with key individual-level socio-demographic characteristics, relate to structurally measured social exclusion among Syrians under Temporary Protection (SuTPs) in Türkiye. Survey data were collected from 270 adults residing in Bursa, one of the provinces hosting the largest SuTPs. Social exclusion was classified dichotomously using the ≥ 89 cut-off of the Social Exclusion Scale, and binary logistic regression was employed to identify predictors. Overall, 57.8% of participants fell into the high-exclusion category. Higher loneliness was associated with markedly greater odds of social exclusion (OR = 3.01, p <.001), while higher life satisfaction was linked to lower odds (OR = 0.65, p =.010). Single participants were more likely to be excluded than married individuals (OR = 2.10, p =.032). Gender, employment status, housing status, receipt of social assistance, intention to return, and Turkish language proficiency did not show significant associations. Model performance indicated solid discriminatory capacity (AUC = 0.81; accuracy = 72.6%). These findings show that psychosocial conditions, particularly loneliness and life satisfaction, are meaningful correlates of structurally grounded exclusion, operating alongside but conceptually distinct from socio-demographic characteristics. While the cross-sectional design and convenience sampling limit causal inference and statistical generalisability, the results point to the value of strengthening social connectedness and everyday well-being through community-based and psychosocial support initiatives that complement existing structural integration measures.