Clinical, Socio-demographic and Psychosocial Determinants of Glycemic Control among Patients with Type 2 Diabetes Mellitus: A Hospital Based Cross Sectional Study at Bagalkot
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Diabetes mellitus (DM) is a rapidly growing public health crisis globally with a huge burden of disease. Despite of its global attention and efforts by the healthcare community, its incidence and prevalence continues to rise. Gycemic control in Type 2 diabetic patients is affected by multiple variables including the distress as its major predictor. Aims: To evaluate the clinical, socio-demographic and psychosocial determinants of Glycemic Control among patients with Type 2 Diabetes Mellitus. Study Design and Settings: This was a cross sectional study conducted included a sample of 150 patients with Type 2 Diabetes Mellitus attending Medical OPD of HagalshriKumarehswar Hospital and Research Centre, Bagalkote. Materials and Methods: Data were collected using self report method and Patient’s Medical records. Tools used for data collection were; socio-demographic and clinical profile and diabetic distress scale. Multiple linear regression analysis was performed to find the significant predictors of glycemic control. Results: Findings revealed a significant regression equation [F22,149 = 9.418, R2=0.60, P< 0.023] when all the variables are considered together for finding the significant predictors of the glycemic control. Diabetic Distress [t= 1.747, P<0.05] has positively predicted the glycemic control while Duration of diabetes [t= -2.286, P<0.05] has negatively predicted the glycemic control of patients with type 2 Diabetes mellitus. Conclusions: Distress is the major predictor of glycemic control among patients with Type 2 diabetic mellitus. Interventions as well as customized management strategies are required to ensure effective management of distress to achieve optimal glycemic control to prevent long‐term complications of diabetes mellitus.
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408801640