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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/m and individuals with a BMI ≥ 27 kg/m 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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http://dx.doi.org/10.1007/s40615-024-02248-x | DOI Listing |
Alzheimers Dement
September 2025
Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Introduction: Mild cognitive impairment (MCI) represents a transitional stage between normal aging and dementia. We investigate associations among cardiovascular and metabolic disorders (hypertension, diabetes mellitus, and hyperlipidemia) and diagnosis (normal; amnestic [aMCI]; and non-amnestic [naMCI]).
Methods: Multinomial logistic regressions of participant data (N = 8737; age = 70.
J Behav Health Serv Res
September 2025
Department of Health Policy and Management, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, USA.
Telehealth is increasingly a standard and routine clinical option, indicating a changing outlook for SUD treatment from in-person to the more convenient option of telehealth. As populations across geographies increasingly prefer telehealth, more research is warranted that focuses on how where a person lives is associated with telehealth availability. The authors used the Mental Health and Addiction Treatment Tracking Repository (MATTR 2024) to identify telehealth availability among all known licensed SUD treatment facilities in the USA (N = 10,492 facilities).
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
September 2025
Department of Social, Behavioral, and Population Sciences, Tulane School of Public Health & Tropical Medicine, New Orleans, LA, USA.
Introduction: Type 2 diabetes mellitus (T2DM) microvascular complications are a major public health issue that disproportionately affects racial/ethnic minorities in the US. We aimed to address the limited understanding of racial/ethnic disparities in the longitudinal natural history of microvascular complications over eight years among older adults with T2DM in the US and Canada.
Methods: From 10,251 participants in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) (2003-2009) trial, we derived 6323 participants.
J Natl Med Assoc
September 2025
College of Medicine, 520W St NW, WA DC 20059, USA.
Background: Non-Hispanic African Americans were reported to have a higher rate of heat-related death than non-Hispanic whites. It is not known whether this racial disparity varies among US regions.
Methods: Multiple cause of death data were used to tabulate heat-related death records which listed ICD-10 codes X30 (exposure to excessive natural heat), P81.
JMIR Res Protoc
September 2025
Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Background: In the United States, cancer is more prevalent in racial and ethnic minority groups and in rural-dwelling and low-income people. Compared with White people of non-Hispanic descent, Black and African American people have higher cancer mortality and Hispanic people are more likely to be diagnosed with infection-related cancers. In addition, people who live in persistent poverty areas are more vulnerable to cancer mortality.
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