Current Medical Research and Opinion · 2024 · 15 citations · 17 references
PharmacyEndocrinologyNutritionDiabetologyEpidemiologic MethodsNutritional EpidemiologyDiabetes ControlDiabetes MellitusDiabetes PharmacotherapyGlucagon-like Peptide-1 Receptor AgonistsIncretin-based TherapiesSodium-glucose Cotransporter 2 InhibitorsDiabetes Medication UseGlucagon-like Peptide 1 Receptor AgonismLogistic RegressionMultivariable AdjustmentMultivariable Regression AnalysisSociodemographic InequalitySodium-glucose CotransportUnivariate Analysis
OBJECTIVE: Type 2 Diabetes (T2D) is a major cause of morbidity and mortality. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) are highly effective but underutilized. Our objective was to assess racial/ethnic and other sociodemographic disparities in GLP-1RA/SGLT2i use among US adults with T2D. METHODS: We conducted a retrospective analysis using the National Health and Nutrition Examination Survey from 2005-March 2020. Participants were adults with T2D taking ≥1 anti-diabetic medication, excluding pregnant women and adults with probable T1D. We performed univariate analyses to examine the characteristics of patients using GLP-1RA/SGLT2i and multivariable logistic regression to assess disparities in GLP-1RA/SGLT2i use after adjusting for other patient factors. RESULTS: = .001), but in multivariable analysis there was no significant difference in GLP-1RA/SGLT2i use for nonwhite vs. White patients (aOR = 0.84, 95% CI [0.61, 1.16]). GLP-1RA/SGLT2i use was higher for patients who completed some college (aOR = 1.83, 95% CI [1.06, 3.15]) or above (aOR = 2.06, 95% CI [1.28, 3.32]) vs. high school or less, and for those with an income-poverty ratio ≥4 vs. <2 (aOR = 2.11, 95% CI [1.30, 3.42]). CONCLUSIONS: The use of GLP-1RA/SGLT2i drugs increased over time but remained low in March 2020. Higher education and income, but not race/ethnicity, were associated with GLP-1RA/SGLT2i use.
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Julio A. Lamprea‐Montealegre, Erin Madden, Sri Lekha Tummalapalli et al. · JAMA · 2022 · 126 citations · Full text
Jing Luo, Robert Feldman, Scott D. Rothenberger et al. · JAMA Network Open · 2020 · 95 citations · Full text