Why Is It Important To Know How Much Body Fat You Have; How Does The Scale With Body Analysis Functionality Work; Prerequisites For Correct Measuring Results - Medisana TargetScale Mode D'emploi

3 Useful Information

3.3 Why is it important to know how much body fat you have?

The human body is made up amongst other things of water, fat and muscle mass. A fat
proportion which is too high or too low may lead to increased health risks. The personal
scales with body analysis functionality provide useful support in motivating someone to
reach or maintain the best possible body weight by monitoring the proportion of body
fat.

3.4 How does the scale with body analysis functionality work?

The scale measures using BIA (Bio-electrical Impedance Analysis). When you step
onto the electrodes barefoot, extremely weak electrical current is passed into your
body. The scale weighs the difference between these signals. The measurements are
used in combination with personal data such as age, gender, height and weight to
calculate the amount of body fat.
NOTES
Excessive drinking, eating, training, medical treatment, the female
menstrual cycle etc. affect the measuring results.The body fat, water
content and muscle measurements will be incorrect for women during
pregnancy.

3.5 Prerequisites for correct measuring results

Reliable measurements can only be achieved under certain pre-requisites:
• Always measure barefoot.
• The feet must have a good contact with the electrodes on the standing area.
• Stand upright.
• Carry out the measurement approximately 15 minutes after getting up, or after bathing
or showering, with towel-dried feet.
• Please measure at the same time of day if possible.
• Do not measure after strenuous physical exercise. Wait at least an hour before
measuring.
• There must not be any dirt stuck to the soles of your feet. Erroneous measuring
results may occur if the soles of your feet are dry or extremely callused.
The amount of body fat, water content and muscle mass can only be reliably monitored
using the measurements if they are taken consistently. Measurements that are taken
under varying conditions can return different values.
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