title: [Health status of people with a migrant background and impact of socio-economic factors: First results of the German Health Interview and Examination Survey for Adults (DEGS1)].
abstract: People with a migrant background (PMB) have specific health-related risk factors and resources compared to the non-migrant population (NMP). The analysis focuses on the relationship between migrant background and health and health-related behavior. Moreover, the study analyses whether socio-economic status (SES) contributes to the explanation of differences between PMB and the NMP. The research is based on the German Health Interview and Examination Survey for Adults (DEGS1) (2008-2012, n = 8151). The population for cross-sectional analyses contains 1107 PMB (weighted 19.8 %). The research question is addressed on the basis of nine exemplary health outcomes. All analyses are gender specific and make a distinction between first and second generation PMB. Logistic regression is calculated adjusting for age and SES. The results reveal clear gender-specific patterns: For women, differences are statistically significant mainly for first generation PMB. Compared to the NMP their self-assessed health status is lower, they are less physically active, consume less alcohol, feel less informed about cancer screening programs and make less use of preventive health services. However, daily smoking is more prevalent in second generation women. For men, differences are statistically significant for first and second generation PMB. Men with a migrant background show more symptoms of depression, consume less alcohol and feel less informed about cancer screening programs. After adjusting for SES the impact of migrant background on health status and health-related behavior largely remains stable. The study shows that the DEGS1 data offers valuable results and new insights into the health status of people with a migrant background. The use of this data for further research requires a differentiated approach to the concept of migrant background and a careful interpretation of results.
authors.affiliation: Abteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland, RommelA@rki.de.
authors.forename: Alexander
authors.initials: A
authors.lastname: Rommel
authors.forename: A C
authors.initials: AC
authors.lastname: Saß
authors.forename: S
authors.initials: S
authors.lastname: Born
authors.forename: U
authors.initials: U
authors.lastname: Ellert
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D004522:Educational Status; D004641:Emigration and Immigration / Q000706:statistics & numerical data*; D005858:Germany / Q000453:epidemiology; D057220:Health Literacy / Q000706:statistics & numerical data; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006304:Health Status; D006306:Health Surveys / Q000379:methods*; D054625:Healthcare Disparities / Q000706:statistics & numerical data*; D006801:Humans; D007407:Interviews as Topic; D008875:Middle Aged; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014171:Transients and Migrants / Q000706:statistics & numerical data*; D055815:Young Adult