I think the proper way is to fart in a bag and measure the O2 levels, then subtract that from ambient O2, or something like that.postal_bag said:Is there a formula to estimate vo2 max using results from a MAP test?
Andy/RST said:Keen, Passfield and Hale (Don't know the year sorry) came up with the following formula from Kingcycle tests but the concept would be the same whatever ergometer you used providing it was an accurately calibrated and credible piece of equipment......
VO2 max (L/min) = 0.011*MAP (W) + 0.08
If you multiply the result you get from this by 1000 to get VO2 max in millilitres and then divide it by your body mass in kg you will get VO2 max in the weight adjusted units (ml/kg/min)
As an example my MAP a few months ago was 335W which gives me...
0.011*335 + 0.08 =3.765 L/min
Multiply by 1000 = 3765 ml/min
Divided by my body mass (65kg) gives me 57.9ml/kg/min
Hope that helps
You'll have to start getting up earlier Ricric_stern/RST said:Damn you Andy i'd been trying to locate that abstract in my files... Was just going to send an email to Louis!
The only thing to remember with that formula is that the Kingcycle that was used for that abstract over estimated power (compared to an SRM Science) by ~ 10%...
Ric
Sorry for my confusion. Upon thinking about it the answer has to be 'no' on both counts. Would this imply that the vo2 max estimate is most accurate up to the point in training where vo2 max peaks? Thanks again.postal_bag said:Simply put, does a higher result on a MAP test ALWAYS indicate further increases in vo2 max?
Conversly, once vo2 max has peaked, will no higher levels be achieved during MAP testing?
postal_bag said:Sorry for my confusion. Upon thinking about it the answer has to be 'no' on both counts. Would this imply that the vo2 max estimate is most accurate up to the point in training where vo2 max peaks? Thanks again.
ric_stern/RST said:Damn you Andy i'd been trying to locate that abstract in my files... Was just going to send an email to Louis!
The only thing to remember with that formula is that the Kingcycle that was used for that abstract over estimated power (compared to an SRM Science) by ~ 10%...
Ric
Roadie_scum said:Which means you should multiply your MAP figure by 1.1 to use the formula if you want to use it and you tested on a properly calibrated machine?
Any ideas on the standard deviation, etc? Don't tell me... going to waste my life looking up the paper now...
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