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This paper provides an in-depth look at diabetes as a growing public health problem among women in light of globalization and lifestyle changes. Diabetes mellitus encompasses a collection of metabolic conditions marked by elevated blood glucose levels following a fasting period, typically resulting from inadequate insulin function or reduced sensitivity to insulin within the body. As per the International Diabetes Federation (IDF), the projected global population living with diabetes in 2011 was approximately 366 million. The IDF's projections indicate a potential increase to 522 million by 2030. This substantial escalation not only signifies the persistent rise in diabetes prevalence on a global scale, but also emphasizes the critical need for efficacious preventive interventions and diabetes management strategies. The prevalence of diabetes among women is not only high but rising, and there are significant gender differences in disease management and the probability of complications. The unique risks of diabetes in women include an increased risk of heart disease, stroke, kidney disease, and polycystic ovary syndrome. These complications further affect women's health and quality of life. In order to better understand the factors affecting diabetes in women, we conducted an in-depth analysis of relevant data using R language, focusing on Pima Indian women aged 21 to 81 years. The data set used in the study, the Diabetes Dataset, contained 768 observations and nine variables, all of which were Pima Indian women. This paper uses the logistic regression method to analyze these variables. The findings suggest that diabetes spectrum function is the most significant factor affecting diabetes risk in this population. This study is of great value to academic research and has far-reaching implications for formulating public health policies and optimizing clinical treatment guidelines.
Yuchen Li (Mon,) studied this question.