Exploring Genetic and Lifestyle Factors Affecting Diabetes Using Logistic Regression Modelling

Zirui Deng

doi:10.54097/dr52k970

Authors

Zirui Deng

DOI:

https://doi.org/10.54097/dr52k970

Keywords:

Diabetes, logistic regression modelling, genetic, lifestyle factors.

Abstract

Diabetes mellitus is a globally widespread chronic disease with a rising prevalence and a huge impact on individual health, healthcare systems and socio-economics. Studying the factors influencing diabetes can help identify at-risk patients, prevent or delay onset, and optimize personalized treatment. The aetiology of diabetes is complex, and Existing studies have shown that diabetes occurs and develops as a result of a combination of factors, including genetic, lifestyle and environmental factors. In this study, several factors that may influence diabetes were systematically analysed using logistic regression modelling. Five factors were selected from 15 possible influences (including genetic and lifestyle factors) that had a significant effect. They are family history of diabetes, diet quality, fasting blood glucose concentration, thirst level, and hypertension. Hence, having a family history of diabetes, poorer diet quality, higher fasting blood glucose concentration, greater thirst, and higher blood pressure are more likely to develop diabetes. Such high-risk groups should make lifestyle modifications to reduce the risk of diabetes through a healthy diet, regular work and rest, and moderate exercise.

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