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

Bibliographic Data

ID22076149
AuthorsSlobodan Zdravkovic (0000-0002-8491-4349, Malmö University, corresponding author), Mathias Grahn (Malmö Municipality), Elisabeth Mangrio (0000-0002-9493-6808, Malmö University), Margareta Rämgård (0000-0003-1235-620X, Malmö University), Magdalena Annersten Gershater (0000-0003-4395-2522, Malmö University)
Year2025
Volume13
Pages1451669-1451669
Publication date2025-03-05
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1451669
PMID40109426
OpenAlexW4408158877
LanguageEN
References cited26

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

Diabetes mellitus · Environmental health · Geography · Population · Sociology · Demography · Diabetes, Cardiovascular Risks, and Lipoproteins · Dietary Effects on Health · Medicine · Migration, Health and Trauma · Endocrinology · Gerontology

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