BMJ Open
Volume 7, Issue 12, 2017

Migration pattern and mortality of ethnic German migrants from the former Soviet Union: A cohort study in Germany (Article) (Open Access)

Kaucher S. , Deckert A. , Becher H. , Winkler V.*
  • a Unit of Epidemiology and Biostatistics, Institute of Public Health, University Hospital Heidelberg, Heidelberg, Germany
  • b Unit of Epidemiology and Biostatistics, Institute of Public Health, University Hospital Heidelberg, Heidelberg, Germany
  • c Unit of Epidemiology and Biostatistics, Institute of Public Health, University Hospital Heidelberg, Heidelberg, Germany, Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
  • d Unit of Epidemiology and Biostatistics, Institute of Public Health, University Hospital Heidelberg, Heidelberg, Germany

Abstract

Objective: We aimed to investigate all-cause and cause-specific mortality among ethnic German migrants from the former Soviet Union by different immigration periods to describe associations with migration pattern and mortality. Design: We used pooled data from three retrospective cohort studies in Germany. Participants: Ethnic German migrants from the former Soviet Union (called resettlers), who immigrated to Germany since 1990 to the federal states North Rhine-Westphalia and Saarland and to the region of Augsburg (n=59 390). Outcome All-cause and cause-specific mortality among resettlers in comparison to the general German population, separated by immigration period. Methods: Immigration periods were defined following legislative changes in German immigration policy (1990-1992, 1993-1995, 1996+). Resettlers' characteristics were described accordingly. To investigate mortality differences by immigration period, we calculated age-standardised mortality rates (ASRs) and standardised mortality ratios (SMRs) of resettlers in comparison to the general German population. Additionally, we modelled sex-specific ASRs with Poisson regression, using age, year and immigration period as independent variables. Results: The composition of resettlers differed by immigration period. Since 1993, the percentage of resettlers from the Russian Federation and non-German spouses increased. Higher all-cause mortality was found among resettlers who immigrated in 1996 and after (ASR 628.1, 95% CI 595.3 to 660.8), compared with resettlers who immigrated before 1993 (ASR 561.8, 95% CI 537.2 to 586.4). SMR analysis showed higher all-cause mortality among resettler men from the last immigration period compared with German men (SMR 1.11, 95% CI 1.04 to 1.19), whereas resettlers who immigrated earlier showed lower all-cause mortality. Results: from Poisson regression, adjusted for age and year, corroborated those findings. Conclusions: Mortality differences by immigration period suggest different risk-factor patterns and possibly deteriorated integration opportunities. Health policy should guard the consequences of immigration law alterations with respect to changing compositions of migrant groups and their health status. © 2017 Article author(s). All rights reserved.

Author Keywords

Public health Epidemiology

Index Keywords

Germany Registries health care policy all cause mortality independent variable register sex ratio human immigration trends middle aged statistics and numerical data controlled study German (citizen) time factor health status USSR Time Factors Aged ethnology meta analysis Young Adult Humans migrant Adolescent Infant, Newborn male Emigrants and Immigrants preschool child Aged, 80 and over Infant very elderly risk factor Risk Factors Child, Preschool newborn female spouse Article Retrospective Studies history adult migration mortality rate History, 20th Century Sex Distribution age distribution outcome assessment cohort analysis Emigration and Immigration Poisson distribution retrospective study cause of death standardized mortality ratio mortality public health Child

Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049642140&doi=10.1136%2fbmjopen-2017-019213&partnerID=40&md5=f992952f473be6e9f0c906f1b057357b

DOI: 10.1136/bmjopen-2017-019213
ISSN: 20446055
Cited by: 3
Original Language: English