Authors : Peter Ngugi Kinuthia; Thomas Ong'ondo Ng'ambwa; Alice Kiplagat

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/5b4jwb46

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DOI : https://doi.org/10.38124/ijisrt/25apr163

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Abstract : Background: Poor glycemic control among diabetic patients is a significant public health concern, leading to an increased risk of complications such as cardiovascular disease, nephropathy, and neuropathy. Demographic factors, including age, gender, socioeconomic status, and education level, play a critical role in diabetes management. However, limited data exist on their influence among diabetic patients in resource-limited settings such as Kapkatet Sub-County Hospital, Kericho County, Kenya.  Objective: This study aimed to assess the influence of demographic factors on glycemic control among diabetic patients attending Kapkatet Sub-County Hospital.  Methods: A hospital-based cross-sectional study was conducted among 300 diabetic patients. Data were collected using structured questionnaires and medical record reviews. Glycemic control was assessed using glycated hemoglobin (HbA1c), with poor control defined as HbA1c >7.0%. Chi-square tests and logistic regression analyses were used to determine associations between demographic factors and glycemic control.  Results: The prevalence of poor glycemic control was 62.3%. Age, education level, and socioeconomic status were significantly associated with glycemic control (p<0.05). Older patients (≥60 years) had the highest prevalence of poor glycemic control (74.8%), while lower educational attainment and lower-income levels were also linked to suboptimal glycemic outcomes. Female patients exhibited slightly better glycemic control than males.  Conclusion: Age, education level, and socioeconomic status significantly influence glycemic control among diabetic patients. Targeted interventions, including health education, improved socioeconomic support, and gender-sensitive diabetes management strategies, are essential to enhance glycemic outcomes in this population.

Keywords : Glycemic control, Diabetes Mellitus, Demographic factors, Socioeconomic status, Health education, Kenya.

References :

1. Almeida-Pititto, B., Dias, M. L., Moraes, A. D. S., Ferreira, S. R., Franco, D. R., & Goldenberg, R. (2020). The impact of socioeconomic status on diabetes management. Diabetes Research and Clinical Practice, 162, 108093.
2. American Diabetes Association (ADA). (2022). Standards of medical care in diabetes—2022. Diabetes Care, 45(1), S1–S122.
3. Bailey, S. C., Brega, A. G., Crutchfield, T. M., Elasy, T. A., Herr, H., Kaphingst, K., ... & Schillinger, D. (2021). Update on health literacy and diabetes care. Diabetes Educator,                 47(1), 1-10.
4. International Diabetes Federation (IDF). (2021). IDF Diabetes Atlas, 10th edition. Retrieved from www.diabetesatlas.org
5. Kautzky-Willer, A., Harreiter, J., & Pacini, G. (2022). Sex and gender differences in risk, pathophysiology, and complications of diabetes mellitus. Endocrine Reviews, 43(5), 992-1040.
6. Ministry of Health (MoH) Kenya. (2022). Kenya national diabetes strategy 2021-2026. Nairobi, Kenya.
7. Ngugi, N., Muriithi, M., & Njoroge, L. (2022). Glycemic control among type 2 diabetes patients in Kenya: A cross sectional analysis. BMC Endocrine Disorders, 22(1), 23.
8. World Health Organization (WHO). (2023). Global report on diabetes. Geneva, Switzerland.
9. Xu, W., Wang, Z., Liu, T., & Li, Y. (2021). Age-related differences in insulin resistance and β-cell function in diabetes. Diabetes & Metabolism, 47(4), 101212.