Association between HbA1c levels and mean body weight in type 2 diabetes: a five-year self-monitored case report

Abstract

This study proposes a novel method to predict HbA1c levels in individuals with type 2 diabetes using the mean body weight averaged over a three-month period. Weekly weight measurements and daily step counts were collected from a patient over five years, with quarterly blood samples analyzed for HbA1c levels. The analysis identified a statistically significant linear correlation between mean body weight and HbA1c levels, supported by a regression model with a high coefficient of determination. This approach offers a simple and effective means to monitor glycemic control in clinical practice, determining the optimal average weight for each patient to maintain recommended blood sugar levels, as advised by their specialist. Physical activity, specifically daily walking, has been found to positively impact HbA1c control. This report describes findings from a single-patient longitudinal observation and should be interpreted as exploratory. Further validation and broader application of this approach across diverse patient populations are recommended.