Evidence map›Paper›PMID 40109426›Full record

ArticleFrontiers in public health2025

Risk factors for diabetes in recently arrived migrants in Scania, Sweden compared to the general population.

Slobodan Zdravkovic, Mathias Grahn, Elisabeth Mangrio, Margareta Rämgård, Magdalena Annersten Gershater

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Slobodan Zdravkovic *Department of Care Science, Faculty of Health and Society Malmö University, Malmö, Sweden.
Mathias GrahnUnit for Statistics and Analysis, Municipality of Malmö, Malmö, Sweden.
Elisabeth MangrioDepartment of Care Science, Faculty of Health and Society Malmö University, Malmö, Sweden.
Margareta Rämgård *Department of Care Science, Faculty of Health and Society Malmö University, Malmö, Sweden.
Magdalena Annersten GershaterDepartment of Care Science, Faculty of Health and Society Malmö University, Malmö, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prevalence of type 2 diabetes has increased worldwide, where the highest prevalence has been found in the Eastern Mediterranean region. Effective measures must be taken to prevent or delay the occurrence of type 2 diabetes and its complications. The present study aimed to investigate the correlation between factors linked to risk for diabetes, individually and cumulatively, and established diabetes in recently arrived migrants from Iraq and Syria in Scania and compare it to the rest of the population. Method: A cross-sectional survey was used to compare data between a sample of recently arrived migrants and a sample from the rest of the population in Scania, Sweden. Results: The prevalence of self-reported diabetes was significantly higher among recently arrived migrants (6.9%) compared to the rest of the population (4.9%). High blood-pressure, unhealthy weight, physical inactivity, and older age increased the risk for self-reported diabetes solely but also cumulatively. Conclusion: It is important to identify individuals with a high risk of diabetes and put preventive efforts into combating risk factors for diabetes. Targeting specific risk factors significantly reduces the risk of developing this disease.

Indexed as

Diabetes Mellitus, Type 2Transients and MigrantsAdultAgedCross-Sectional StudiesFemaleHumansIraqMaleMiddle AgedPrevalenceRisk FactorsSwedenSyriadiabetes mellituseducation levelhypertensionmigrationobesityphysical activityrisk factorssmoking

Identifiers

PMID40109426
PMCPMC11919830

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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.