Prevalence of Depression among Migrants: A Systematic Review and Meta-Analysis

Int J Environ Res Public Health. 2018 Sep 12;15(9):1986. doi: 10.3390/ijerph15091986.

Abstract

As the number of migrants worldwide increases, it is worthwhile to examine the extent to which depression has affected this group of often vulnerable individuals. The purpose of this systematic review and meta-analysis is to examine the aggregate prevalence of depression among international migrants and to explore the variations in prevalence with demographic and educational factors. A search was conducted on the online databases PubMed and ScienceDirect whole using the terms "depression", "depressive disorder", "immigration", "immigrant", "migration", and "migrant". A total of 25 studies met our inclusion criteria. A random-effects model meta-analysis calculated an aggregate prevalence of 15.6% among migrants. Heterogeneity was identified by meta-regression and subgroup analyses, and the level of educational attainment, employment status, and length of residency spent in country of migration were found to be significant moderators contributing to depression prevalence. In conclusion, newly arrived migrants appear to be susceptible to developing depression and it is imperative that more in the form of preventive strategies and increased assistance be incorporated to ensure their psychological wellbeing and improve their mental health outcomes. Further research should be conducted to better understand the risk of psychiatric disorders among members of this subpopulation.

Keywords: depression; migrant; migration.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Depression / epidemiology*
  • Depressive Disorder / epidemiology
  • Emigration and Immigration / statistics & numerical data
  • Female
  • Humans
  • Male
  • Models, Statistical
  • Prevalence
  • Risk Factors
  • Transients and Migrants / psychology*
  • Transients and Migrants / statistics & numerical data*
  • Vulnerable Populations / psychology
  • Vulnerable Populations / statistics & numerical data