Investigation of the Risk Factors Associated with Prediabetes in Normal-Weight Qatari Adults: A Cross-Sectional Study

This study investigates the risk factors associated with prediabetes in normal weight Qatari adults. Prediabetes is the condition in which the blood has above normal amount of glucose present, as its not high enough to be Identified as diabetes. Research has shown the increased burden of prediabetes in Qatar to rise substantially in the future. Early detection can help in the management of prediabetes and prevention of diabetes. Through the use of binomial logistic model, the risk factors most associated with prediabetes were identified. Then we used the receiver operating characteristics (ROC) to build a responsive and accurate threshold between positive or negative test returns for prediabetes. The sample/population was obtained from Qatar Biobank which included demographic data of 6 thousand Qatari individuals aged between 18 and 86 years. The use of several machine learning model showed that, after adjusting the potential confounding factors such as age and sex, Triglyceride has been demonstrated to be positively correlated with prediabetes, and there was a special population dependence phenomenon. Among them, non-obese people (p<0.05). The effect value and 95% confidence interval and OR of prediabetes was 2.79 and (e0.78, e1.28), respectively. Based on a logistic regression analysis of the relationship between prediabetes and the risk factors present, we conclude that triglyceride is the main risk factor for prediabetes in normal-weight individuals and should not be taken lightly when performing medical tests on the aforementioned weight category.