Socio Demographic Correlates of Patients with Diabetes Mellitus at a Tertiary Care Center in Ahmedabad, Gujrat, India

24 Jun

Authors: Dr. Chirag Vaghela, Dr. Mrugdha Patel, Dr.Prabhudas Patel

Abstract: Background: India is experiencing a fast demographic and epidemiological conversion with Non-Communicable disease (NCDs), bookkeeping for two out of each three deaths (1). The most important cause causative to high incidence of diabetes mellitus is quick developmental urbanization, inactive lifestyle, and modify in dietary habits. Aim: To evaluate the relationship between socio demographic individualism and Diabetes Mellitus. Subject and Methods: All subjects were interviewed after obtaining consent from them. The study had approved by the Ethics Committee of IEC-BHR Dr.Jivraj Mehta Smarak Health Foundation, Ahmedabad, and Gujarat, India. A questionnaire have been used which includes the socio demographic, life style, family history of diabetes and the relationship with diabetic patients. A cross sectional study was conducted among 151 patients suffering with type 2 diabetes mellitus and 151 patients with non diabetes mellitus OPD of tertiary care hospital. Socio demographic correlates were assessed by brief questionnaire. Results: Our study reported 59.01% individuals had high fasting blood sugar, high post parandial blood sugar and high Hba1c. The highest prevalence was found in the age group 51-60 years (64.11%). A large figure of the study people (35%) was inactive. A significant proportion of the study subjects had associated co morbidities such as hypertension (21.19%), and hyperlipidemia (7.28%). Fasting blood glucose, postprandial blood glucose, and glycated hemoglobin levels were elevated in both gender.. The values were higher in males, but statistically, the difference was significant. Conclusions: The present study revealed that poor glycemic control, dyslipidemia, sedentary lifestyles, and hypertension were prevalent in T2DM patients. Hence, the overall risk profile in patients from Ahmedabad was very poor and needs improvement. These data can support health professionals’ actions to efficiently keep up and afford a more broad advance to organization

DOI: https://doi.org/10.5281/zenodo.15729038