INVESTIGATION OF THE RISK FACTORS ASSOCIATED WITH PREDIABETES IN NORMAL-WEIGHT QATARI ADULTS: A CROSS-SECTIONAL STUDY

  • Mohamed Mohamed

Student thesis: Master's Dissertation

Abstract

ABSTRACT 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
Date of Award2023
Original languageAmerican English
Awarding Institution
  • HBKU College of Science and Engineering

Keywords

  • Logistic-Regression
  • Machine-learning
  • Normal-Weight
  • Prediabetes
  • Qatar
  • Risk-Factors

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