Disclaimer: InBody devices should be used as an adjunct tool for clinical decision-making and are not intended to diagnose or treat any diseases.
Body composition is important for understanding and assessing changes in body fat distribution and muscle mass, helping to improve patient recovery and long-term outcomes.
In addition, body composition analysis helps to differentiate between muscle, fat, and body water levels. By tracking these changes, healthcare providers can enhance patient care and tailor treatment plans accordingly.
In less than 70 seconds, healthcare providers receive an InBody Result Sheet (body composition printout) that can aid in:
Empowered by objective data, healthcare providers can more effectively evaluate and improve patient treatment plans and long-term outcomes.
The analysis of muscle-fat distribution, utilizing parameters of skeletal muscle mass (SMM), may be beneficial to assess fall risks in older community-dwelling adults, as shown by Rivan, et al., 2021. Further, Xu, et al., 2020 found that measures of SMM may help to examine associations between body composition and frailty in hospitalized elderly patients, concluding that SMM was a “protective factor for frailty”.
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. A study by Choe, et al., 2020, used ASM values to find a modified standardized value that was found to be related to frailty.
Skeletal muscle mass index (SMI) is calculated by dividing ASM by the square of the height (m2). The assessment of skeletal muscle mass index (SMI) can be useful in determining levels of muscle mass and function in sarcopenic and frail elderly patients. In a study by Quoc, et al., 2022, sarcopenia was determined according to the Asian Working Group on Sarcopenia Consensus (AWGS), using SMI. Prevalence of frailty was significantly associated with age, BMI, living alone, and sarcopenia.
Extracellular water–to–total body water (ECW/TBW) ratio may provide valuable insights into fluid imbalances in frail lung cancer patients (Hirashima, et al., 2021), aiding healthcare providers in making informed decisions about treatment and care. In a study by Tanaka, et al., 2020, ECW/TBW ratio was found to be a key indicator in assessing the risk of locomotive syndrome, frailty, and sarcopenia.
As shown by Zhu, et al., 2023, phase angle (PhA) measurements may be useful in determining varying stages of sarcopenia among aging populations. The addition of nutritional assessments increased the screening ability of pre-sarcopenia.
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