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. 2019 Sep 18;4(3):7-28.
doi: 10.25646/6074. eCollection 2019 Sep.

The health of children and adolescents with a migration background in Germany - Results of the cross-sectional KiGGS Wave 2 study

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The health of children and adolescents with a migration background in Germany - Results of the cross-sectional KiGGS Wave 2 study

Carmen Koschollek et al. J Health Monit. .

Abstract

Over a third (36.5%) of young people living in Germany have a migration background. Based on the data of the second follow-up to the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2, 2014-2017), the health situation of 11- to 17-year-olds with and without a migration background is described using selected indicators. In order to account for the diversity among children and adolescents with a migration background, the health indicators used in this study are stratified by migration background but also by additional migration-related characteristics. In addition, the results from the various subgroups are also stratified by sociodemographic characteristics. No differences in self-assessed general health or the outpatient utilisation of paediatric and general medical services were identified between 11- to 17-year-olds with and without a migration background. However, migration-related differences were identified in health behaviour: whereas children and adolescents with a one- or two-sided migration background are more frequently overweight (including obesity), they consume risky amounts of alcohol less often than those of the same age without a migration background. Finally, the outcomes of the indicators also vary according to migration-related and sociodemographic characteristics.

Keywords: HEALTH MONITORING; HEALTH REPORTING; KIGGS; MIGRATION; MIGRATION BACKGROUND.

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Conflict of interest statement

Conflict of interest The authors declared no conflicts of interest.

Figures

Figure 1
Figure 1
Prevalence of overweight (including obesity) among 11- to 17-year-olds by sociodemographic and migration-related characteristics (n=3,010 girls, n=2,751 boys) Source: KiGGS Wave 2 (2014-2017)
Figure 2
Figure 2
Prevalence of risky alcohol consumption among 11- to 17-year-olds by sociodemographic and migration-related characteristics (n=3,098 girls, n=2,797 boys) Source: KiGGS Wave 2 (2014-2017)

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