A New Approach for Early Detection of Insulin Resistance in Correlation with Anthropometry of Non-Diabetic Obesity

Abstract

Background: The prevalence of obesity has almost tripled since 1975. Obesity has a risk of developing diabetes by 44%, obesity will trigger the emergence of insulin resistance so that the absorption of glucose in body cells will be disrupted and cause body glucose levels to be above normal. Overweight or obesity can be determined through anthropometric examinations including Body Mass Index (BMI), Waist Circumference, Waist to Hip Ratio (WHR), and Waist to Height Ratio (WHtR). Objective: To determine the relationship between anthropometric measurements and insulin resistance in the non-diabetic obese population. Methods: This study is an analytical observational study with a cross-sectional method, analyzing 30 non-diabetic obese subjects selected through purposive sampling. The variables studied included subject characteristics, BMI, waist circumference, WHR, WHtR, and insulin resistance. Results: The results showed a weak positive significant correlation between insulin resistance and people with BMI over 25 and WHR values over 0.9 for men and 0.85 for women (p<0.05; r<0.5). In addition, those with a waist circumference of more than 90 cm for men and 85 cm for women, with a WHtR of more than 0.5, showed a significant positive correlation with insulin resistance (p<0.05; r>0.5). Waist circumference had the most significant correlation with insulin resistance, according to logistic regression analysis (p=0.009). Conclusion: There is a strong association between BMI, waist circumference, WHR, and WHtR, with insulin resistance. Waist circumference is the best measure to identify insulin resistance. The public will benefit from the findings of this study in terms of early detection of insulin resistance through the use of independent anthropometric measurements.