Evidence map›Paper›PMID 30027505›Full record

ArticleJournal of immigrant and minority health2019

Participation of Turkish Migrants in an Epidemiological Study: Does the Recruitment Strategy Affect the Sample Characteristics?

Tilman Brand, Florence Samkange-Zeeb, Nico Dragano, Thomas Keil, Lilian Krist, Rahsan Yesil-Jürgens, Martin Schlaud, Karl-Heinz Jöckel, Oliver Razum, Katharina Reiss and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of immigrant and minority health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  7. [Health Literacy of People with Former Soviet Union and Turkish Migration Background in Germany].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023
    Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Tilman BrandDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany. brand@bips.uni-bremen.de.
Florence Samkange-ZeebDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.
Nico DraganoInstitute of Medical Sociology, Centre for Health and Society, Medical Faculty, University of Duesseldorf, 40225, Duesseldorf, Germany.
Thomas KeilInstitute of Social Medicine, Epidemiology and Health Economics, Charité Universitätsmedizin, 10117, Berlin, Germany.
Lilian KristInstitute of Social Medicine, Epidemiology and Health Economics, Charité Universitätsmedizin, 10117, Berlin, Germany.
Rahsan Yesil-JürgensDepartment of Psychiatry and Psychotherapy, University Medicine Berlin, Charité Universitätsmedizin, 12101, Berlin, Germany.
Martin SchlaudDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, 12101, Berlin, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, 45122, Essen, Germany.
Oliver RazumDepartment of Epidemiology & International Public Health, Bielefeld School of Public Health (BiSPH), Bielefeld University, 33501, Bielefeld, Germany.
Katharina ReissDepartment of Epidemiology & International Public Health, Bielefeld School of Public Health (BiSPH), Bielefeld University, 33501, Bielefeld, Germany.
Karin Halina GreiserGerman Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Heiko ZimmermannInstitute of Public Health, University Hospital Heidelberg, 69120, Heidelberg, Germany.
Heiko BecherInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Hajo ZeebDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.

Funding

Bundesministerium für Bildung und Forschung 01ER1001B
6 · The paper itself

Abstract

Migrants are often poorly represented in epidemiological studies which limits the generalizability of the results of population-based studies. This study aimed to assess whether a community-based sampling (CBS) of persons of Turkish origin leads to differences in the participants' characteristics compared to a register-based sampling (RBS). The two sampling strategies were used to recruit participants in three cities in Germany (CBS: n = 641; RBS: n = 578). We compared sociodemographic, migration- and health-related characteristics. Census data were used as an external reference. Lower German language skills and a lower acculturation status were more prevalent in the CBS than in the RBS. While age and sex adjusted obesity prevalence differed [CBS: 37.8 (33.6-42.4); RBS 30.0 (26.3-34.0); census data 19.1 (18.2-20.1)], most other health indicators were similar across the samples. In conclusion, the CBS approach led to a greater representation of persons of Turkish origin with lower language skills and lower acculturation status. Nevertheless, both recruitment strategies provided similar estimates of health status indicators.

Indexed as

AcculturationEpidemiologic MethodsHealth Status IndicatorsTransients and MigrantsFemaleGermanyHumansLanguageMaleObesityPrevalenceSelection BiasTurkeyEpidemiologic studyGermanyRecruitmentTurkish migrants

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.