Background Iron deficiency anemia (IDA) is the most prevalent form of nutritional anemia worldwide, affecting a substantial portion of the population. It has significant negative effects on health and the economy, especially in poorer nations, and is more prevalent than anemia alone. Although hemoglobin A1c (HbA1c) is frequently used to track long-term glycemic management, several variables, including iron deficiency, might affect its values.For proper diabetic care, it is essential to comprehend this link. The purpose of this study is to evaluate the impact of IDA on HbA1c levels in individuals with and without diabetes. Materials and methods A hospital-based cross-sectional study was conducted at Shri B. M. Patil Medical College, BLDE (Deemed to be University). Group 1 consists of diabetic patients with IDA, Group 2 consists of diabetic patients without IDA, and Group 3 consists of non-diabetics with IDA. A total of 108 patients were involved in the study. A complete hemogram, anemia profile, and HbA1c values were also a part of the data-gathering process. IBM SPSS Statistics for Windows, Version 23 (Released 2015; IBM Corp., Armonk, New York) was used for the statistical analysis, with a significance level of p < 0.05. Results The study found no significant changes in the mean age, gender distribution,hypertension prevalence, weight, height, pulse rate, or blood pressure across the groups. Group 2 exhibited considerably higher hemoglobin levels than Groups 1 and3. Group 1 showed substantially higher mean blood sugar and HbA1c levelsthan Group 3 (p < 0.05). Diabetic individuals had higher HbA1c levels than non-diabetic individuals, with the greatest levels found in diabetic patients with IDA. Conclusion This study found that IDA had a significant influence on HbA1c levels in diabetic patients, indicating that iron deficiency should be addressed when interpreting HbA1c levels in these individuals. These findings underscore the need for more study to better understand the processes behind this connection and the consequences for clinical management.
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