Table 1. Summary of characteristics and results of included studies .
Author/Year | Study Design | Objective | Participant | Setting | Social Determinant | Outcome Variable | Impact |
---|---|---|---|---|---|---|---|
Campbell et al/ 2018 (18) | Cross-sectional analyses | To investigate the effect of social determinants, such as employment, language ability and accommodation, on mental health in refugees in the UK | New Refugees (n = 5678), in which all new UK refugees (2005-2007) | UK | language ability, employment status and accommodation satisfaction | Emotional well-being | Refugees who were unemployed in the UK, could not speak English well or were unsatisfied with their accommodation had significantly higher odds of poorer emotional well-being in the cross-sectional analysis |
Delara et al/ 2016 (19) | Review | To reviews and consolidates findings from the existing literature on social determinants of immigrant women’s mental health within a socioecological framework. | Immigrant Women’s | Canada | Cultural Levels, Social Connections, Social support, Social Influence, Social Position(age, gender role, race, ethnic identity, marital and socioeconomic status), housing, neighborhood, and physical working conditions | Depression, anxiety, Post-traumatic stress disorder (PTSD), low self-esteem, and anger | Findings of this review revealed that mental health of immigrant women is an outcome of several interacting determinants at social, cultural, and health care system levels and hence calls for many different ways to promote it |
Jessica et al/ 2020 (20) | Randomized Controlled Trial | The goal of this RCT was to rigorously test a social justice approach to reducing high rates distress among refugees in the United States | A total of 290 refugee adults from 143 households | Southwestern United States | Acculturation, English Proficiency(understand, speak, read, and write),Social Support(family ethnic community, and non-ethnic community) | Emotional distress, Anxiety ,Depression | Addressing social determinants of mental health from a strengths-based, holistic approach that aims for multilevel change is effective at promoting the well-being of resettled refugees, including increasing protective factors and reducing emotional distress. |
Nicholaset al/ 2017 (21) | Qualitative study | 82 documented migrant workers | Singapore | Age, Salary ,Hours/week, Construction | Psychological distress | Migration status places workers who come into workplace conflict with their employers at heightened risk of mental illness. | |
Mawani/ 2014 (22) | Review | Outline a multi-level framework of determinants of mental health inequities, including macro-, community-, family-, and individual levels of determinants across a continuum from pre-migration to resettlement | Refugee | Canada | Macro-level factors(economic, political, social and physical environments), Community-level Factors(Social Factors, Cultural Factors, Psychological Factors, Built Environment), Family-level factors, Individual-level Factors(Migration Status and Context, Socioeconomic Status). | Mental health | Disparities in social determinants and in mental health outcomes between refugees, immigrants, and domestic-born individuals, and between sub-groups of refugees, are largely attributable to inequalities in social determinants, including socioeconomic factors, social support, and systemic racism and discrimination |
Michaela Hynie et al/ 2018 (23) | Critical Review | Refugee | Canada | Income, Employment, Housing, Social Support and Social Isolation, Discrimination, Language Skills and Interpretation, The Asylum-Seeking Process | PTSD, distress, and/or depression | ||
Bukola Salami et al/ 2017 (24) | Cross-sectional survey | Examined the relationship of both self-perceived mental health and reported diagnosis of mood disorders with age, gender, migration status, time since migration, and social determinants of health factors | 12160 participants aged 15–79 years/migrant | Canada | Age, gender, Income, Employment, education, community belonging, Time since immigration | Self-perceived mental health and self-reported diagnosis of mood disorder | |
Wong et al/ 2017 (25) | Cross-sectional survey | To explore how mapped social determinates of health has impacted the mental health and wellbeing of African ASR’s in Hong Kong | 374 African ASR(asylum-seekers and refugees) population in Hong Kong | African asylum-seekers and refugees in Hong Kong | Gender, Age Group, Marital Status, Biological/Behavioral Circumstances, Place of origin, Length of Residence in Hong Kong, Recreational Drugs, Multiple Sex partners, | Depressive | |
Hollander/ 2013 (26) | Cross-sectional design | To increase knowledge, using population-based registers, of how pre- and post-migration factors and social determinants of health are associated with inequalities in poor mental health and mortality among refugees and other immigrants to Sweden | I: All immigrants from Afghanistan, Iraq, Iran, the Middle East, Somalia, and the former Yugoslavia in 2006 II Part 1: All registered immigrants compared with all Swedish-born in the year 2006. Part 2: Immigrants from non-OECD-countries in 2006 who arrived in Sweden since 1993. III Non-labour-market immigrants IV The total population in 2000 2006 with a strong connection to the labour market |
Sweden | Age, education, and marital status, immigrant’s country of origin(ethnicity), employment | Psychotropic drugs, mortality, depressive disorder | The relative risk of hospitalization due to depressive disorder following unemployment. |
Kim et al/ 2014 (27) | Review | The article will offer best practice recommendations based on the factors identified through the SDMH framework for Southeast Asian refugees | Refugees | Southeast Asian Refugees in United States | Income, education, occupation, social class, gender, race/ethnicity, and nativity status | Mental health | |
Kuo et al/ 2020 (28) | Cross-sectional research design | To examine and identify predictors of mental health and physical health in a sample of adult Syrian | A total of 235 Syrian refugees | Syrian Refugees in Canada | Educational level, marital status, sex, Family Income, Ethnic group and English proficiency level | Mental health |
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