Jaybird180
Final Approach
I'm trying out a new BioImpedence Analysis (BIA) scale and have collected 5 new datapoints over the last 6 days of ownership.
I've been using an app (MyFitnessPal aka MFP) to help me track what I eat and I've been collecting other data for about a year and a half. I fell off the wagon, but the new scale represents my desire to ride it all the way to Cavalry.
The scale measures Weight, Bodyfat%, Muscle Mass% and Water%. I'm thinking that instead of using weight as a goal, that I should use Bodyfat% loss and Muscle% maintenance as goals. I suppose that I'm having a math problem in deriving a suitable goal weight to tell MFP what my new goal weight should be as it can only consider weight instead of using any of the other BIA metrics. MFP uses current weight and goal weight with a factor of time to calculate calorie consumption goals for the user. The theory is that as long as your consume less than you burn, you should lose weight. The user has no real way to know if the goal weight they've selected is unrealistic for their body composition. That's what started me on this little math problem.
I setup an Excel table to help me find some correlative values to be met with the disappointing notation in the scale's user manual that certain values will not add up to 100%. I did find consistency in the Fat% + Water% + Muscle Mass% = 118.6% - 119.0% and I'm thinking that perhaps that I should "normalize" the data to 100% and then run what-if calculations. Even still, the correlation between the datapoints is not standing out to me. The scale's user manual also clearly states in bold in several places that the percentages are estimates only and that if more accuracy is sought, medical professionals should be consulted. I figure the estimates are accurate enough for my purposes (I hope).
How should I setup my calculations with the available data? The ending objective is to be able to enter a desirable Bodyfat% and assume all the other factors remain constant except weight will change.
I've been using an app (MyFitnessPal aka MFP) to help me track what I eat and I've been collecting other data for about a year and a half. I fell off the wagon, but the new scale represents my desire to ride it all the way to Cavalry.
The scale measures Weight, Bodyfat%, Muscle Mass% and Water%. I'm thinking that instead of using weight as a goal, that I should use Bodyfat% loss and Muscle% maintenance as goals. I suppose that I'm having a math problem in deriving a suitable goal weight to tell MFP what my new goal weight should be as it can only consider weight instead of using any of the other BIA metrics. MFP uses current weight and goal weight with a factor of time to calculate calorie consumption goals for the user. The theory is that as long as your consume less than you burn, you should lose weight. The user has no real way to know if the goal weight they've selected is unrealistic for their body composition. That's what started me on this little math problem.
I setup an Excel table to help me find some correlative values to be met with the disappointing notation in the scale's user manual that certain values will not add up to 100%. I did find consistency in the Fat% + Water% + Muscle Mass% = 118.6% - 119.0% and I'm thinking that perhaps that I should "normalize" the data to 100% and then run what-if calculations. Even still, the correlation between the datapoints is not standing out to me. The scale's user manual also clearly states in bold in several places that the percentages are estimates only and that if more accuracy is sought, medical professionals should be consulted. I figure the estimates are accurate enough for my purposes (I hope).
How should I setup my calculations with the available data? The ending objective is to be able to enter a desirable Bodyfat% and assume all the other factors remain constant except weight will change.