ArticleClinical diabetes and endocrinology2024
Social determinants of health and diabetes: using a nationally representative sample to determine which social determinant of health model best predicts diabetes risk.
Article in Clinical diabetes and endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study.JMIR medical informatics · 2026Article
- A Bayesian mixture model approach to examining neighbourhood social determinants of health in endometrial cancer care in Massachusetts.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2026Article
- Impact of philanthropic investment on integrating social determinants of health into diabetes care at US federally qualified health centers.Dialogues in health · 2025Article
- Comparative Analysis of White and African American Groups Reveals Unique Lipid and Inflammatory Features of Diabetes.Journal of racial and ethnic health disparities · 2025Article
- Racial and ethnic disparities in children and adults in the usage of continuous glucose monitors: a scoping review protocol.BMJ open · 2025Article
- Ahmedabad declaration: A framework to combat growing epidemic of young-onset type 2 diabetes in Asia.Diabetes & metabolic syndrome · 2025Review
- Social determinants of health as barriers to care for vasculitis: perspectives of patients and healthcare providers.Clinical rheumatology · 2024Article
- The Association of Weight Categories in Adolescence with Cardiovascular Morbidity in Young Adult Israeli Arabs-A Nationwide Study.Journal of clinical medicine · 2024Article
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3 authors.
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Abstract
objectivesSocial determinants of health (SDOH) research demonstrates poverty, access to healthcare, discrimination, and environmental factors influence health outcomes. Several models are commonly used to assess SDOH, yet there is limited understanding of how these models differ regarding their ability to predict the influence of social determinants on diabetes risk. This study compares the utility of four SDOH models for predicting diabetes disparities. STUDY
designWe utilized The National Longitudinal Study of Adolescent to Adulthood (Add Health) to compare SDOH models and their ability to predict risk of diabetes and obesity.
methodsPrevious literature has identified the World Health Organization (WHO), Healthy People, County Health Rankings, and Kaiser Family Foundation as the conventional SDOH models. We used these models to operationalize SDOH using the Add Health dataset. Add Health data were used to perform logistic regressions for HbA1c and linear regressions for body mass index (BMI).
resultsThe Kaiser model accounted for the largest proportion of variance (19%) in BMI. Race/ethnicity was a consistent factor predicting BMI across models. Regarding HbA1c, the Kaiser model also accounted for the largest proportion of variance (17%). Race/ethnicity and wealth was a consistent factor predicting HbA1c across models.
conclusionPolicy and practice interventions should consider these factors when screening for and addressing the effects of SDOH on diabetes risk. Specific SDOH models can be constructed for diabetes based on which determinants have the largest predictive value.
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