Estimate muscle and skeletal mass with new predictive equations

Being accurately aware of the body composition or the different body compartments and not only considering weight, is very important for any nutrition professional since it is directly correlated with health status.

That being said, Nutrium has now new equations which can predict the proportion of more body components, such as muscle mass, skeletal mass, fat mass and residual mass.


We have now included the four-component anthropometric model to measure body composition, alongside with the two-component model previously added. This model is based on evaluating four components: skeletal mass, fat mass, muscle mass and residual mass.

Which equations have we integrated?

Muscle, skeletal and residual mass can be registered manually, or they can be predicted by new integrated equations after registering the required anthropometric values.

Residual mass

Residual Mass and its percentage can be estimate automatically through Würch equation and the only data required is weight and the patient's gender.

Skeletal mass

To estimate skeletal mass through Von Döbeln equation (1964) modified by Rocha (1975), patient's height, bi-styloid breadth and biepicondylar femur breadth are required.

Muscle mass

Finally, to estimate muscle mass according to De Rose, E.H., Guimarães A.G.(1980) equation, you need to register the patient's weight, fat, skeletal a residual mass.

More updates to come

If you don't usually use this model of body composition, or even these equations, let us know. The team wants Nutrium to be adapted to every professional, thus we will study the possibility of integrating your suggestion.


With no need for a calculator or excel sheets, Nutrium can now easily provide your patients a more accurate anthropometric evaluation, and help you to make the anthropometric assessment faster.

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(This article is also available in portuguese at blog.nutrium.io/pt/equacoes-preditivas-da-massa-muscular-e-ossea and spanish at blog.nutrium.io/es/masa-muscular-y-osea-ecuaciones-predictivas)