Disclaimer: InBody devices should be used as an adjunct tool for clinical decision-making and are not intended to diagnose or treat any diseases.
As studies have shown that increased muscle mass may help to prevent gestational diabetes from progressing to type 2 diabetes in women (Shin, et al., 2022), the importance of monitoring body composition then becomes important to avoid risks and tailor patient treatment plans accordingly.
Additionally, body composition analysis can aid healthcare providers in tracking changes in body water levels, enhancing patient care by assessing and treating fluid imbalances. (Yang, et al., 2022).
In less than 70 seconds, healthcare providers receive an InBody Result Sheet (body composition printout) that can aid in:
Empowered by objective data, below are several examples of how healthcare providers can more effectively evaluate and improve patient treatment plans and long-term outcomes by incorporating InBody body composition parameters.
Graves’ disease is an autoimmune disease that is the most common cause of hyperthyroidism and mostly affects adults ages 30 to 50 years old. In 2022, a study by Cai, et al., looked at weight and body composition changes of seventeen patients with Graves’ disease undergoing radioiodine treatment. They found that patients with higher body fat and lower lean mass at the beginning of the treatment developed excessive weight gain with treatment, with body fat gain being higher than that of controls. It may be important to consider an individual’s body composition before treatment, to improve outcomes.
Skeletal muscle mass (SMM) refers to the muscles that are attached to bones and are responsible for movement, as shown by the Cleveland Clinic. In 2019 Kwak, et al assessed patients with primary aldosteronism (PA) to investigate the effects of aldosterone on SMM in this population. The results found that women with PA had lower SMM than women with non-functioning adrenal incidentaloma (NFAI). Also, measures of SMM were used by Seko et al (2022) in 194 nondiabetic older adults to examine the roles of sarcopenia indexes in the prevention of insulin resistance development.
Appendicular skeletal muscle (ASM) includes the muscle mass in both the upper and lower extremities, as seen in the Segmental Lean Analysis section of the InBody Results. It is used to calculate the skeletal muscle mass index (SMI) and gives information about lean mass in a patient’s arms, trunk, and legs.
In their 2021 study, Chen et al used measures of skeletal muscle mass index (SMI) to evaluate the relationship between body composition and thyroid function in patients with type 2 diabetes. The authors found that “thyroid function is more likely to affect the fat and muscle distribution of males than females”.
Polycystic Ovary Syndrome (PCOS) is a common endocrine disease that affects women in their reproductive years. Signs and symptoms can be more severe in obese individuals. A study by Li, et al., 2021 found that a time-restricted feeding intervention was helpful not to reduce just weight, but specifically body fat, percent body fat, and visceral fat area (VFA). It also helped improve menstrual cycle irregularity in 73.3% of the patients and showed improvements in hyperandrogenemia, insulin resistance, and chronic inflammation.
Despite the many benefits of physical activity, elite athletes can be affected by overtraining syndrome OTS), when they do not get enough time/sleep to recover. In a 2019 study published by Frontiers in Endocrinology, Cadegiani, et al. analyzed measures of total body water (TBW), extracellular water (ECW), and possible combinations of the Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) “to reveal independent predictors and linear correlations among the parameters evaluated in the EROS study to predict clinical, metabolic, and biochemical behaviors in healthy and [overtraining syndrome] OTS-affected male athletes”. The study concluded that muscle mass was directly associated with TBW/BW (BW: body weight; hydration) and that ECW/BW (edema) was directly associated with body fat, but negatively associated with TBW and muscle mass. Also, energy levels and better hormonal responses were correlated with better body composition.
The significance of phase angle (PhA) and ECW/TBW ratio for anemia in patients with type 2 diabetes was shown by Hori, et al, 2023, who found they are positively associated with hemoglobin (Hgb) and hematocrit (Hct) levels in patients with type 2 diabetes. The authors found that “PhA and ECW/TBW, but not SMI, were associated with levels of Hgb and Hct in patients with diabetes”, showing that values deviating from the norm suggest anemic risk in patients with diabetes.
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