About The Study: The results of this retrospective cohort study of 44,000 individuals suggest that fasting plasma glucose level, age, body mass index (BMI), and male sex were all associated with development of diabetes, with significant interaction between these variables. These data contribute to understanding the clinical course of diabetes and highlight the substantial individual variation in diabetes risk according to commonly measured clinical variables. The findings facilitate lifestyle and pharmacologic interventions to treat those at highest risk of diabetes to reduce future morbidity and mortality. Further work is needed to validate this risk categorization tool for different populations.
Corresponding Author: To contact the corresponding author, Aoife M. Egan, MB, PhD, email egan.aoife@mayo.edu .
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(doi:10.1001/jamanetworkopen.2024.56067)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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