Evidence map›Paper›PMID 39081466›Full record

ArticleJournal of health monitoring2024

Type 2 diabetes among people with selected citizenships in Germany: risk, healthcare, complications.

Maike Buchmann, Carmen Koschollek, Yong Du, Elvira Mauz, Laura Krause, Laura Neuperdt, Oktay Tuncer, Jens Baumert, Christa Scheidt-Nave, Christin Heidemann

Abstract read
In one paragraph

Article in Journal of health monitoring, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

10 authors.

Maike BuchmannRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Carmen KoschollekRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Yong DuRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Elvira MauzRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Laura KrauseRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Laura NeuperdtRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Oktay TuncerRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Jens BaumertRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Christa Scheidt-NaveRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Christin HeidemannRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Migration-related factors, such as language barriers, can be relevant to the risk, healthcare and complications of type 2 diabetes in people with a history of migration. Diabetes-related data from people with selected citizenships were analysed on the basis of the nationwide survey German Health Update: Fokus (GEDA Fokus). Methods: The diabetes risk of persons without diabetes (n = 4,698, 18 - 79 years), key figures on healthcare and secondary diseases of persons with type 2 diabetes (n = 326, 45 - 79 years) and on concomitant diseases (n = 326 with type 2 diabetes compared to n = 2,018 without diabetes, 45 - 79 years) were stratified according to sociodemographic and migration-related characteristics. Results: Better German language proficiency is associated with a lower risk of diabetes. Diabetes-related organ complications are observed more frequently in persons who report experiences of discrimination in the health or care sector. Both persons with and without diabetes are more likely to have depressive symptoms when they reported experiences of discrimination. A stronger sense of belonging to the society in Germany is associated with reporting depressive symptoms less often in people without diabetes, but not in people with type 2 diabetes. Conclusions: The differences according to migration-related characteristics indicate a need for improvement in the prevention and care of type 2 diabetes. Migration-sensitive indicators should be integrated into the surveillance of diabetes.

Indexed as

Communication barriersDepressionDiscriminationGermanyHealth inequalityMigrationType 2 diabetes

Identifiers

PMID39081466
PMCPMC11262741

What Socratic holds

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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 Socratic graph.