Develop more effective treatment and prevention strategies
Studies have proved InBody DSM-BIA body composition analyzers are an effective tool for managing patients’ diabetic risks and symptoms. InBody products do not rely on empirical data, therefore, medical professionals can be certain the outputs generated by the device accurately reflect changes happening in the patient.
Why is body composition analysis an effective tool for diabetes programs?
In less than 60 seconds, an InBody Test provides a comprehensive Result Sheet to help professionals:
- Obtain objective measurements of muscle, fat, and visceral fat to assess disease risk and obesity
- Monitor outcomes of interventions aimed to improve glycemic control and prevent worsening of complications related to diabetes
- Detect fluid imbalances resulting from inflammation
Understand severity of diabetes risk
Current methods of estimating visceral fat measures are indirect and imprecise, making them a poor tool for overall health risk assessments and long-term tracking. InBody provides a visceral fat estimate that has been linked to increased risk of hypertension, high cholesterol, and diabetes.
Waist circumference measurements serve as an indirect indicator of overall and visceral obesity; however, this method is imprecise and inadequate for monitoring changes over time. By using InBody to assess body composition, medical professionals can rely on accurate and consistent measurements to understand their patient’s risk for diabetes and/or other health conditions. As InBody’s visceral fat area is closely linked to diabetic risk, outputs including the Edema Index (ECW/TBW ratio) is also useful for tracking diabetes-related inflammation. This data will provide diabetes professionals with a better indicator for which factors may be causing health risks and set better prescriptions for change.
Monitor muscle and fat distribution
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.