Exploring Racial and Ethnic Differences in Utilization of Medications for Obesity Management in a Nationally Representative Survey

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Abstract

Background: The burden of obesity falls disproportionately on some racial and ethnic minority groups. Objective: To assess for racial and ethnic differences in the utilization of obesity-management medications among clinically eligible individuals. Design: Medical Expenditure Panel Survey (2011–2016, 2018 and 2020) data and a cross-sectional study design was used to assess for racial and ethnic differences in obesity-management medication utilization. Descriptive statistics and multivariable logistic regression models were used to identify the association of race and ethnicity with obesity-management medication utilization. Adjusted models controlled for demographics, socioeconomic status, obesity class, diabetes status, number of chronic conditions, insurance status, and geographic region. Participants: Adults with a BMI ≥ 30 kg/m2 and individuals with a BMI ≥ 27 kg/m2 with ≥ 1 weight-related condition. Main Measures: The primary outcome measure was utilization of an FDA-approved medication for obesity-management during the study period. The primary independent predictor was race and ethnicity. Separate indicator variables were created for each racial and ethnic group (Non-Hispanic Asian, Non-Hispanic Black, Hispanic, and Non-Hispanic White (reference group)). Key Results: In adjusted analyses, Asian (aOR, 0.36; 95% CI, 0.16 to 0.77; P < 0.01), Black (aOR, 0.51; 95% CI, 0.39 to 0.68; P < 0.001) and Hispanic individuals (aOR, 0.70; 95% CI, 0.49 to 0.98; P = 0.04) had significantly lower odds of utilizing obesity-management medications compared to White individuals. Conclusions: The results of this study suggest that there are racial and ethnic disparities in the use of obesity-management medications.

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APA

Narain, K., & Scannell, C. (2026). Exploring Racial and Ethnic Differences in Utilization of Medications for Obesity Management in a Nationally Representative Survey. Journal of Racial and Ethnic Health Disparities, 13(1), 329–339. https://doi.org/10.1007/s40615-024-02248-x

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