Diabetic risk increase is driven by both excess fat mass and low muscle mass, however, body composition methods for diabetic risk are inaccurate or inconsistent. Quantification of muscle and fat mass by region provides a more in-depth view of segmental and overall body composition and allows for better diagnosis of diabetes risk and guidance of treatment options.

Diabetes is often associated with excess fat, however having insufficient muscle mass is just as detrimental and increases diabetes risk. Leg muscles are the largest muscle group in the body and therefore serve as a driver for glucose uptake; low leg muscle mass is associated with increased risk of insulin resistance.

With InBody, medical professionals can assess and monitor a patient’s composition of muscle and fat. Outputs such Segmental Lean Mass and Leg Lean Mass provide deeper insight into the composition of leg muscle as well as the storage of fat across the body. By monitoring these factors and setting specific treatment programs to address the patient’s unique physiology, physicians and educators can track the progress and success of treatments and interventions.