戈帕尔甘杰县糖尿病和糖尿病前期患病率的相关风险因素

Dr A. K. M. Azad Hossain
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摘要

随着时间的推移,人们的生活方式发生了很大变化。繁忙的工作、对理想生活的漠视、对美味垃圾食品的嗜好以及缺乏体育锻炼,这些都对健康造成了许多危害。由于生活方式和饮食习惯的改变,一些疾病的发病率有所上升,糖尿病就是其中之一。糖尿病是一种影响各个年龄段人群的慢性疾病。糖尿病有多种形式。2 型糖尿病最为常见。孟加拉国患有 2 型糖尿病的人数急剧增加,使其成为该国的主要健康问题之一。孟加拉国糖尿病发病率的上升与超重、年龄、糖尿病家族史、体育锻炼、高碳水化合物食物的饮食习惯等因素有关。因此,我们收集了 320 名受影响的人,他们或服用药物,或到戈帕尔甘杰区的任何一家糖尿病中心进行自我检查,以寻求治疗或任何建议。研究的目的是解释糖尿病患者的平均状况,并找出与该疾病相关的某些因素。变量包括患者的年龄、工作类别、运动时间、膳食计划和其他一些被认为与糖尿病有关的重要因素。因变量被选为受访者的血糖水平。我们使用了卡方检验和逻辑回归来寻找任何可以描述的重要关系。逻辑回归分析确定了对受访者血糖水平有明显影响的一些重要因素,即平均睡眠时间、早餐米饭、饮食、红肉、吸烟和年龄。关键词饮食习惯、糖尿病、血糖水平、卡方检验、逻辑回归。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associated Risk Factors with The Prevalence of Diabetes and Prediabetes in Gopalganj District
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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