ArticleBMJ open diabetes research & care2019
Understanding the complexity of socioeconomic disparities in type 2 diabetes risk: a study of 4.3 million people in Sweden.
Article in BMJ open diabetes research & care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- User Experiences With a Social Robot for Cardiometabolic Risk Assessment in a Community Setting in Uppsala, Sweden: Qualitative Semistructured Interview Study.Journal of medical Internet research · 2026Article
- A Virtual Living Lab Platform Codeveloped for Mental Health in Youth-Onset Type 2 Diabetes (BrightSpark Care Lab): Protocol for a Mixed Methods Study.JMIR research protocols · 2026Article
- Contextual impact of socio-economic inequalities on health: a case study of COVID-19 mortality among populations with and without diabetes in France.BMJ public health · 2026Article
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- Prevention of type 2 diabetes in migrant populations from low- and middle-income countries living in high-income countries.Diabetologia · 2025Review
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- Geographic and socioeconomic differences in potentially inappropriate medication among older adults - applying a simplified analysis of individual heterogeneity and discriminatory accuracy (AIHDA) for basic comparisons of healthcare quality.BMC health services research · 2025Article
- A vertical-horizontal approach to examine social inequalities in early onset type 2 diabetes in the German workforce through occupational sector, education and income.Scientific reports · 2025Article
- Risk factors for diabetes in recently arrived migrants in Scania, Sweden compared to the general population.Frontiers in public health · 2025Article
- Depression at the intersection of race/ethnicity, sex/gender, and sexual orientation in a nationally representative sample of US adults: a design-weighted intersectional MAIHDA.American journal of epidemiology · 2024Article
- Health disparity at the intersection of religion and caste: Evidence from India.Dialogues in health · 2024Article
- Onset of Type 2 diabetes in adults aged 50 and older in Europe: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy.Diabetology & metabolic syndrome · 2024Article
- Intersectional analysis of social determinants of health and their association with mortality in patients with multimorbidity.Journal of global health · 2024Article
- Perceived discrimination and refraining from seeking physician's care in Sweden: an intersectional analysis of individual heterogeneity and discriminatory accuracy (AIHDA).International journal for equity in health · 2024Article
- Carpal Tunnel Syndrome and Trigger Finger May Be an Early Symptom of Preclinic Type 2 Diabetes.Plastic and reconstructive surgery. Global open · 2024Article
- Intersectional analysis of social disparities in type 2 diabetes risk among adults in Germany: results from a nationwide population-based survey.BMC public health · 2024Article
- Socioeconomic factors associated with poor medication adherence in patients with type 2 diabetes.European journal of clinical pharmacology · 2024Article
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- The risk of experiencing depression among older adults in India: A cross-sectional study.Journal of diabetes and metabolic disorders · 2023Article
- Higher burden of cardiometabolic and socioeconomic risk factors in women with type 2 diabetes: an analysis of the Glycemic Reduction Approaches in Diabetes (GRADE) baseline cohort.BMJ open diabetes research & care · 2023 · on this mapArticle
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3 authors.
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Abstract
Objective: Investigating demographic and socioeconomic factors as intersecting rather than as separate dimensions may improve our understanding of the heterogeneous distribution of type 2 diabetes in the population. However, this complexity has scarcely been investigated and we still do not know the accuracy of these factors for predicting type 2 diabetes. Improved understanding of the demographic and socioeconomic disparities predicting type 2 diabetes risk in the population would contribute to more precise and effective public health interventions. Research design and methods: We analyzed the risk of type 2 diabetes among 4 334 030 individuals aged 40-84 years who by 2010 had resided in Sweden for at least 5 years. We stratified the study population into 120 strata defined by categories of age, gender, income, education, and immigration status. We calculated measures of absolute risk (prevalence) and relative risk (prevalence ratio), and quantified the discriminatory accuracy of the information for predicting type 2 diabetes in the population. Results: The distribution of type 2 diabetes risk in the population was highly heterogeneous. For instance, immigrated men aged 70-79 years with low educational achievement and low income had a risk around 32 times higher than native women aged 40-49 years with high income and high educational achievement (ie, 17.6% vs 0.5%). The discriminatory accuracy of the information was acceptable. Conclusion: A more detailed, intersectional mapping of socioeconomic and demographic distribution of type 2 diabetes can assist in public health management aiming to reduce the prevalence of the disease.
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