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 GaynanovaImportance
Race, ethnicity, and social determinants of health (SDOH) contribute to disparities in diabetes outcomes, particularly hemoglobin A 1c (HbA 1c ). 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 HbA 1c .
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 HbA 1c , 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 HbA 1c (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.