[Participation of people with migration background in health surveys of the Robert Koch Institute]

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2015 Jun;58(6):533-42. doi: 10.1007/s00103-015-2146-1.
[Article in German]

Abstract

People with migration background (PMB) make up a huge section of the population with specific health chances and risks. There are only limited data available on the health situation of PMB, since inclusion of PMB in surveys is hindered, e.g. due to language barriers. The present study has examined to what extent the population-based health surveys of the Robert Koch Institute have managed to include a representative extent of PMB, with the aim of deriving recommendations for analysis options and future recruitment strategies. The 2009 microcensus (MC) of the Federal Statistical Office was used as the basis to check whether the sample of KiGGS Wave 1 (2009-2012) and DEGS 1 (2008-2011) are representative regarding socio-demographic and migrant-specific characteristics. 1107 PMB participated in DEGS 1. In comparison to the MC, particular sub-groups are underrepresented in the sample: people who immigrated themselves (first-generation migrants), people with a low education and Turkish citizens. On the other hand, some age groups are overrepresented. In KiGGS Wave 1, 2021 children and adolescents with a migration background participated. Response was lower if parents had a low education. In total, the participation of children and adolescents with a migration background was lower in comparison to the KiGGS baseline survey. The data on PMB in DEGS 1 and KiGGS Wave 1 are appropriate for health analyses of this population group. However, analyses should be stratified according to characteristics like migrant generation, age or education level, or these characteristics should be adjusted for in statistical models. In order to achieve a representative inclusion of people with a migration background, in future surveys sub-group-specific activities to increase participation of PMB are recommended.

MeSH terms

  • Academies and Institutes / statistics & numerical data*
  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Child
  • Community Participation / statistics & numerical data*
  • Educational Status
  • Emigration and Immigration / statistics & numerical data*
  • Germany / epidemiology
  • Health Surveys / statistics & numerical data*
  • Humans
  • Middle Aged
  • Sex Distribution
  • Socioeconomic Factors
  • Transients and Migrants / statistics & numerical data*
  • Turkey / ethnology
  • Young Adult