In recent years, monitoring of body composition has come to the forefront of public health obesity policy (see HCM August 2017, p60). Research has shown that markers such as weight or BMI are outdated and healthcare professionals are increasingly recognising the significance of the type of weight a person puts on or loses.
This is where body composition assessment using bioimpedance vector analysis (BIVA) has a role to play. The non-invasive technique uses impedance measurements to identify water, lean muscle and fat in the body. Its use has been validated in large cohort studies, such as NHANES III, as well as for monitoring specific conditions such as heart and kidney failure.
By using techniques like BIVA rather than relying on weight, individuals gain insight into their ratio of muscle to fat and the concept of losing weight gives way achieving healthy amounts of muscle and fat relative to age, gender and genetics.
People who undergo a nutritional and exercise intervention are often frustrated to find that their weight remains static; however in reality their body fat percentage may have fallen and lean muscle mass risen. Visualisation of objective improvements in body composition is therefore key for supporting and monitoring healthy lifestyle changes.
Where weight is concerned, the move from simplistic quantitative measures of weight to more detailed qualitative indicators of BIVA offers clinicians and patients a vital opportunity to better understand how our bodies function and thereby treat disease more efficiently and holistically.