Gender-specific implications of the Waist-to-Weight Index in predicting prediabetes prevalence

Abstract

Purpose To explore how WWI correlates with prediabetes prevalence. Methods analyzing data from 13,688 individuals with prediabetes and 14,753 non-diabetic individuals, multifactorial logistic regression models were used to assess the relationship between WWI and the incidence of prediabetes, considering variables such as age, gender, BMI, race, and various health markers, and compared with BMI, WC (Waist Circumference), and WHt (Waist-to-Height Ratio). Results The study found a direct and significant association between an increase in WWI and an increased prevalence of prediabetes, especially in the highest WWI quartile (Q4). Gender differences were also significant in the prevalence of prediabetes, and the evaluation effect of WWI was on par with WC and greater than that of BMI and WHt. Conclusion WWI has been proven to be a key indicator for assessing the prevalence of prediabetes, emphasizing the need for gender-specific approaches in health strategies.