[Association between migrant status and depressive symptoms in the older population in Germany]

Psychiatr Prax. 2012 Apr;39(3):116-21. doi: 10.1055/s-0031-1276936. Epub 2011 Nov 28.
[Article in German]


Objective: To assess the association between migrant status and depressive symptoms among the older population in Germany.

Methods: In a cross-sectional study with the German subsample of the Survey of Health, Ageing and Retirement in Europe (SHARE), a population-based sample of 2890 German residents aged 50 years or older (mean age 65 years, 55 % women), the association between migrant status (defined as being born outside of, and having immigrated to Germany) and depressive symptoms (≥ 4 points on the EURO-D scale) was examined by multiple logistic regression analysis.

Results: A total of 539 respondents (19 %) were migrants. Prevalence of depressive symptoms was higher in migrants (28 %) than in non-migrants (19 %, p < 0.001). Migrant status remained associated with depressive symptoms (odds ratio 1.50, 95 % confidence interval 1.11-2.01) in logistic regression analysis adjusting for sociodemographic factors, indicators of physical health, and cognitive function.

Conclusions: The results suggest an association between migrant status and depressive symptoms in the older population in Germany that was independent of other predictors of late-life depression included in this analysis.

Publication types

  • English Abstract

MeSH terms

  • Activities of Daily Living / classification
  • Age Factors
  • Aged
  • Chronic Disease / epidemiology
  • Chronic Disease / psychology
  • Comorbidity
  • Cross-Sectional Studies
  • Depressive Disorder / epidemiology*
  • Depressive Disorder / etiology
  • Depressive Disorder / psychology*
  • Disabled Persons
  • Emigrants and Immigrants / psychology*
  • Emigrants and Immigrants / statistics & numerical data*
  • Europe / ethnology
  • Female
  • Germany
  • Health Surveys
  • Humans
  • Male
  • Mass Screening
  • Middle Aged
  • Risk Factors
  • Statistics as Topic
  • Unemployment