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Document Type

Conference Proceedings

Abstract

Objective: The objective of the study was to explore the association between age and the prevalence of type 2 diabetes among US adults aged 18 years and older. Methods: This analytical, cross-sectional study used data from the 2023 Behavioral Risk Factor Surveillance System (BRFSS). People with type 2 diabetes mellitus (T2DM) were included. The main outcome variable was a self-reported diagnosis of type 2 diabetes, and the main exposure variable was age. Covariates such as income, sex, and race/ethnicity were included. Odds ratios (OR) with 95% confidence intervals (CI) were calculated. Results: Increasing age is associated with higher odds of T2DM diagnosis. When compared with the reference age range of >65, 18-24 year olds were 96% less likely to be diagnosed with T2DM (AOR 0.04 (95% Cl: 0.03-0.05), 25-34 year olds were 93% less likely (AOR 0.07 (95% Cl: 0.07-0.08)), 35-44 year olds were 82% less likely (AOR 0.18 (95% Cl: 0.17-0.19)), 45-54 year olds were 56% less likely (AOR 0.44 (95% Cl: 0.42-0.45)), and 55-64 year olds were 28% less likely (AOR 0.72 ((95% Cl: 0.70-0.74)). Conclusion: Our data suggests that age may influence the likelihood of acquiring type 2 diabetes mellitus, with a lower age providing a protective advantage. More research is needed to understand the factors that impact the prevalence of T2DM with age such as physical activity, and age-related physiological processes. A greater understanding of these factors will guide targeted prevention strategies for age groups at a higher risk of acquiring T2DM.

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