Scale Weight Vs Body Composition

Often we can become obsessed with the number on the scales in identifying our health and physique changes. When embarking on or engaging in strength training, the scales often mislead us to what is really happening with our health and body composition. Jumping on the scales simply tells us the total mass of all our body’s tissues combined.

What is important is the composition of your weight – regardless if you are male or female, having a high level of skeletal muscle will improve your overall health. This can only be tested through body composition analysis. Rather than tracking body-weight we should be tracking our body composition to provide the most accurate indication of our health and effectiveness of our training regime.

What often happens when lifting weights is your shape will change considerably, your clothes are looser, you have more energy and you know you are going in the right direction, but for some reason the scales haven’t changed as much as you’d like. The reason for this is you have put on muscle and muscle is a lot denser than fat. For example, you may have dropped 7kgs of body fat and put on 3kg muscle, the scales will only display a 4kg drop, when in fact you’ve dropped 7kgs of body fat – In doing so you will have achieved a considerable physique change.

The best example of this is the below screen shot from the InBody manual which indicates two ladies that weigh the same, but have different body compositions (muscle to fat ratios). By adding muscle you improve your overall health and body composition 

Why do you need to know your Body Composition

Body composition, or fat vs. fat-free (lean) mass, has long been considered by fitness and medical experts as one of the best determinants of health status and disease prediction. Testing can help to determine a person’s overall health.
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How it works

We measure your body parts individually instead of as a whole. 
The technical term for this is Direct Segmental Multi-frequency Bioelectrical Impedance Analysis (DSM-BIA).
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