Prevalence of Prediabetes in Lahore, Pakistan
Keywords:
Prevalence, Prediabetes, Ordinal logistic regression model, Akaike information criterionAbstract
This study is required to examine the prevalence of type II diabetes, prediabetes, and its risk factors in the Lahore district of Pakistan. 460 respondents who were 18 years of age and older were chosen for this study using the multistage cluster sampling technique. The World Health Organization's recommendations called for the analysis of diabetes and prediabetes using the Fasting Glucose Test. The percentages of people with diabetes and prediabetes were calculated. The impact of various risk variables on the prevalence of diabetes and prediabetes was examined using an ordinal logistic regression model, with the response variable consisting of three categories: normal, prediabetes, and diabetes. Akaike Criterion was used to determine the explanatory variables: age, education, monthly income, history of diabetes, knowledge of diabetes, fast food, and weight. Among the 460 respondents who participated in the sample, 30.86% had prediabetes, and 27.82% had diabetes. Age, previous diabetes history, and weight were the three most important risk factors for prediabetes. Our ordinal logistic model identified the most important diabetes risk factors as being age, education, monthly income, knowledge of diabetes, eating fast food, and weight.








