Analytical cross-sectional study finds fat mass index effectively identifies insulin resistance in Peru, suggesting crucial public health implications.
Key Points
FMI demonstrated the highest diagnostic accuracy for insulin resistance, achieving an AUC of 0.80 in women and 0.81 in men.
Both sexes showed high sensitivity above 80% and specificity above 70% using FMI for insulin resistance diagnosis.
Adjusted logistic regression indicated strong associations between insulin resistance and anthropometric indices, particularly FMI and upper limb skinfold.
Results underscore the potential for using affordable anthropometric measures in public health strategies for early insulin resistance detection.