Evidence mapPaperPMID 42384381Full record

ArticleJAMA network open2026

Social Determinants of Health and Continuous Glucose Monitoring Metrics in Type 1 or Type 2 Diabetes.

Walter T Williamson, Neo Kok, Joyce M Lee, Jenna Wiens, Irina Gaynanova

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Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Walter T WilliamsonDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.
Neo KokDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.
Joyce M LeeSusan B. Meister Child Health Evaluation and Research Center, Division of Pediatric Endocrinology, Department of Pediatrics, University of Michigan, Ann Arbor.
Jenna WiensDepartment of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, Ann Arbor.
Irina GaynanovaDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Race, ethnicity, and social determinants of health (SDOH) contribute to disparities in diabetes outcomes, particularly hemoglobin A1c (HbA1c). Although continuous glucose monitoring (CGM) improves glycemic management, it remains unclear whether associations persist between SDOH and CGM metrics, as prior research has focused solely on HbA1c. Objective: To examine the associations of race, ethnicity, and SDOH with glycemic metrics among patients with type 1 or type 2 diabetes who use CGMs. Design, Settings, and Participants: This retrospective cross-sectional study evaluated CGM profiles paired with demographic data from individuals receiving outpatient care at a single-center academic health system between October 1, 2017, and February 28, 2025. The cohort included pediatric (aged <18 years) and adult (aged ≥18 years) patients with type 1 or type 2 diabetes who met CGM data sufficiency criteria. Exposures: Race and ethnicity category, individual-level SDOH (eg, insurance type), and neighborhood-level socioeconomic status. Main Outcomes and Measures: Glycemic outcomes included HbA1c, mean glucose, time in range, time above range, glycemic risk index, coefficient of variation, and extended hypoglycemic episodes. Inverse probability weighting and mixed-effects models were used to examine associations between exposures and outcomes. Results: The study included 1743 participants with 3296 CGM profiles (mean [SD] age, 38.8 [20.8] years; 926 female [53.1%]; 86 identifying as Black [4.9%], 56 as Hispanic [3.2%], 1508 as White [86.5%], and 93 as other [5.3%] race and ethnicity). Black race and public health insurance were associated with higher HbA1c (estimate, 0.55%; 95% CI, 0.27%-0.82%) and mean glucose (estimate, 17.88 mg/dL; 95% CI, 3.69-32.07 mg/dL). Public insurance was also associated with higher time in range (estimate, -3.56%; 95% CI, -5.45% to -1.66%), time above range (estimate, 3.49%; 95% CI, 1.53%-5.46%), and glycemic risk index (estimate, 4.50; 95% CI, 2.13-6.87). Socioeconomic disadvantage was associated with an increase in coefficient of variation (estimate, 3.26; 95% CI, 0.81-5.70). Associations were most pronounced among children experiencing more socioeconomic disadvantage and Black children across metrics. These associations persisted after adjusting for insulin pump use. Conclusions and Relevance: This cross-sectional study of adult and pediatric CGM users with type 1 or type 2 diabetes found that CGM and insulin pump use alone did not eliminate associations between SDOH and glycemic outcomes. These findings highlight the need for interventions beyond technology, such as diabetes education and behavioral support, to promote equity in diabetes care.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Social Determinants of HealthAdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringChildContinuous Glucose MonitoringCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedRetrospective StudiesBlood GlucoseGlycated Hemoglobin

Identifiers

PMID42384381
PMCPMC13324870

What Socratic holds

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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.