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Statistical Analysis of Food, Exercise, and HbA1c in Non-Diabetics
Conference proceeding   Peer reviewed

Statistical Analysis of Food, Exercise, and HbA1c in Non-Diabetics

Sumaiya Farzana Mishu, Maliha Zaman Nijhum, Kamrul Riad, Md Arabin Talukdar and Hossain Shahriar
Proceedings : annual International Computer Software and Applications Conference, pp.1944-1949
Annual Computers, Software, and Applications Conference (COMPSAC), 49th (Toronto, Ontario, Canada, 07/08/2025–07/11/2025)
08/26/2025
DOI: https://doi.org/10.1109/COMPSAC65507.2025.00269
Web of Science ID: WOS:001575960000259

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Abstract

The impact of diabetes is significantly increasing in the USA in both prevalence and healthcare costs. The Centers for Disease Control and Prevention (CDC) reports that, as of 2020, approximately 34.2 million people in the United States have diabetes. This study analyzes the relationship between food consumption, exercise, and Glycosylated Hemoglobin (HbA1c) levels in non-diabetic individuals. Data from the National Health and Nutrition Examination Survey (NHANES) were used, and statistical analyses were performed using SAS software to identify food types that impact HbA1c levels.

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