- What is Diabetes?
- Type 2 Diabetes has been linked to obesity and high levels of visceral fat. Physicians need to understand their patient’s body composition to assess health risks for diseases like diabetes. Understanding body composition can influence the occurrence of diabetes and in some cases, improving body composition can lessen conditions of diabetic conditions.
- Common Methods Include:
- Physicians focus on weight loss, visceral fat area and, prescribe a diet and exercise to counteract the onset of diabetes.
Typically, body composition analysis is not used to determine someone’s risk for diabetes. Most doctors use BMI, which is just a ratio of a person’s height and weight.
- Issues with Current Methods
- BMI cannot determine the amount of fat or muscle a person has. It also cannot tell how much of a patient’s fat is visceral or subcutaneous.
- InBody: A Non-invasive, Painless Solution
- InBody would be a valuable tool for doctors so they can easily understand their overweight patients or patients with risk factors associated with diabetes. InBody technology provides accurate measures for body composition through its four core technologies. That information is then translated into useful outputs such as body fat percentage, total body water, lean body mass and visceral fat area. Visceral fat area having an important contribution to diabetics because of the association between high visceral fat levels and diabetes.
- InBody devices use Multi-frequency Measurements to measure extracellular water (ECW) and intracellular water (ICW) to give an accurate depiction of total body water and body composition.
- Direct Segmental Measurement divides the body into five separate cylinders (right arm, left arm, right leg, left leg and torso) and measures the impedance for each segment.
- InBody devices also use an 8-Point Tactile System with Thumb Electrodes to create reliable reproducibility because tests are always measured at the same starting place.
- These technologies combined, eliminate any need for empirical data (assumptions for body composition based on factors like age, gender or ethnicity), giving an accurate depiction of the health of pre-diabetic and diabetic patients.
- Want to know more about InBody's four core technologies?
- THE INBODY TECH
- Applying the Result Sheet
- An InBody Result Sheet would allow a doctor to see his or her patient has a low muscle mass, high body fat mass, and high amounts of visceral fat, all of which are risk factors for diabetes. To lessen a patient’s risk or disease severity, a doctor can prescribe diet and exercise.
Improvements can be seen on the InBody Result Sheet Body Composition Analysis and Body Composition History. Doctors can also use an InBody device to monitor changes in swelling, which can be an indicator other health conditions.
- Validation Studies
- Support for the InBody in the field of Diabetic Research. This study discusses the association between the ECW/TBW ratio and diabetes in peritoneal dialysis patients, finding that diabetic peritoneal dialysis patients appear to have increased ECW when compared to their non-diabetic counterparts.
- Davenport (2009) – Does Diabetes mellitus predispose to increased fluid overload in peritoneal dialysis patients?
- In this study, type 2 diabetic patients were found to have reduced skeletal muscle mass (SMM%) and leg lean body mass (LBM%) when compared to non-diabetic patients. In addition, longer duration of diabetes was associated with sarcopenia. SMM% and leg LBM% were negatively correlated with HDL, and reduced leg LBM% was significantly correlated with increased risk factors of cardiovascular disease.
- Tajiri (2010) – Reduction of Skeletal Muscle, Especially in lower limbs, in Japanese type 2 diabetes patients with insulin resistance and cardiovascular risk factors.
- This study used InBody for visceral fat area (VFA), body fat mass (BFM), and percent body fat (%BF) and found that positive changes in VFA and BFM improved glycemic control and lipid parameters, resulting in improved diabetic state and decreased cardiovascular risk.
- Hancu (2016) – Changes in fasting plasma glucose, HbA1c and Triglycerides are related to changes in body composition in patients with type 2 diabetes.
Recent Case Studies
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