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December 1, 2025Primary care diabetesOpen Access

The U.S. diabetes belt and factors explaining the excess risk: Multifactorial modeling and machine learning analysis

Longjian Liu Nathalie S. May Y. Hou Jingyi Shi Edward J. Gracely Arthur L. Frank Howard J. Eisen

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Key Points

Addressing health disparities in diabetes risk may improve outcomes for various populations across the U.S.
The analysis demonstrates effective methods for understanding chronic conditions and their impact on diabetes risk.
An integrated approach combining factors like socioeconomic status and healthy behaviors is essential for reducing diabetes risk.
Investigation of these factors opens pathways for strategies to mitigate diabetes prevalence nationwide.

Implication

Analysis uncovers health disparities linked to diabetes risk in the U.S., highlighting chronic conditions and healthy behaviors.

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Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/69402a862d562116f2902437 https://doi.org/10.1016/j.pcd.2025.12.001

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