» Articles » PMID: 22932826

[Identification and Sampling of People with Migration Background for Epidemiological Studies in Germany]

Overview
Publisher Thieme
Specialty Public Health
Date 2012 Aug 31
PMID 22932826
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

In 2009, 19.6% of the population of Germany either had migrated themselves or were the offspring of people with migration experience. Migrants differ from the autochthonous German population in terms of health status, health awareness and health behaviour. To further investigate the health situation of migrants in Germany, epidemiological studies are needed. Such studies can employ existing databases which provide detailed information on migration status. Otherwise, onomastic or toponomastic procedures can be applied to identify people with migration background. If migrants have to be recruited into an epidemiological study, this can be done register-based (e. g., data from registration offices or telephone lists), based on residential location (random-route or random-walk procedure), via snowball sampling (e. g., through key persons) or via settings (e. g., school entry examination). An oversampling of people with migration background is not sufficient to avoid systematic bias in the sample due to non-participation. Additional measures have to be taken to increase access and raise participation rates. Personal contacting, multilingual instruments, multilingual interviewers and extensive public relations increase access and willingness to participate. Empirical evidence on 'successful' recruitment strategies for studies with migrants is still lacking in epidemiology and health sciences in Germany. The choice of the recruitment strategy as well as the measures to raise accessibility and willingness to participate depend on the available resources, the research question and the specific migrant target group.

Citing Articles

Knowledge and understanding risk factors and preventive measures for osteoporosis in women: results of a survey in 502 women with and without a migration background.

Taghvaei R, Dimitrova D, Karaman M, Sehouli J BMC Musculoskelet Disord. 2022; 23(1):824.

PMID: 36042427 PMC: 9429362. DOI: 10.1186/s12891-022-05773-0.


Awareness and use of psychosocial care among cancer patients and their relatives-a comparison of people with and without a migration background in Germany.

Singer S, Riccetti N, Hempler I, Fried M, Riera Knorrenschild J, Kalie L J Cancer Res Clin Oncol. 2022; 149(5):1733-1745.

PMID: 35689688 PMC: 9188276. DOI: 10.1007/s00432-022-04091-1.


Improving the inclusion and participation of children and adolescents with a migration background in KiGGS Wave 2.

Frank L, Yesil-Jurgens R, Born S, Hoffmann R, Santos-Hovener C, Lampert T J Health Monit. 2022; 3(1):126-142.

PMID: 35586177 PMC: 8848790. DOI: 10.17886/RKI-GBE-2018-034.


Health reporting on people with a migration background - Selection and definition of (core) indicators.

Bartig S, Rommel A, Wengler A, Santos-Hovener C, Lampert T, Ziese T J Health Monit. 2022; 4(3):29-48.

PMID: 35146252 PMC: 8734196. DOI: 10.25646/6073.


Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review.

Fischer F, Kleen S J Med Internet Res. 2021; 23(1):e17691.

PMID: 33480850 PMC: 7864774. DOI: 10.2196/17691.