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Category: Volume 11 Issue 09 September 2023
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Title: Associated Risk Factors with The Prevalence of Diabetes and Prediabetes in Gopalganj District

Authors: Dr A. K. M. Azad Hossain, Dr Rehena Parveen, S. M. Nasim Azad, Nazmul Hossain, Md. Ferdous Hossain

 DOI: https://dx.doi.org/10.18535/jmscr/v11i9.06

Abstract

People's lifestyles are changing a lot with time. Busy working life, indifference to ideal living, addiction to yummy junk food and lack of physical activity are causing many health hazards. Due to changes in lifestyle and dietary habits, the prevalence of several diseases has increased, among which diabetes can be identified as one of them. Diabetes is a chronic disease that affects people of all ages. There are several forms of diabetes. Type 2 is the most common. The number of people in Bangladesh who have type-2 diabetes has increased dramatically making it one of the country's major health problems. The rising prevalence of diabetes in Bangladesh is associated with overweight, age, family history of diabetic, physical activity, eating habit of high carbs food etc. So, we collected 320 individuals affected or take medication or checks themselves in any Diabetic Center in Gopalganj district for treatment or any suggestions. The aim of the study is to explain the status of diabetes affected peoples on average result and to find out any certain factor which relates to the disease. The variables included the age of the patient, job category, exercise time, meal plan and some other important factor that is considered to be related to diabetes. The dependent variable was chosen as the blood glucose level of the respondents. We used chi-square test and logistic regression to find any significant relation that can be described. Logistic regression analysis identified some important factors that significantly affect the blood glucose level of the respondents, namely average sleep time, rice for breakfast, diet, red meat, smoking and age.

Keywords: Food habits, Diabetes, blood glucose level, Chi-square test, Logistic regression.

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Corresponding Author

Dr Rehena Parveen

Assistant Professor, Department of Statistics, Faculty of Science, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj-8100, Bangladesh