Prediction of the Metabolic Cost of Exercise from Measurements during Recovery,

Abstract

This study was designed to determine if post exercise recovery measurements could be used to predict the oxygen uptake (VO2), minute ventilation (V sub E) and heart rate (HR) during exercise. VO2, V sub E and HR were measured in 11 healthy males during the last minute of treadmill running (at various exercise intensities ranging from light to maximal effort) and for each 15 second period during three minutes of standing recovery. For each variable measured, a least squares regression line was calculated from data collected during the interval between 15 and 60 seconds after cessation of exercise. The ability of the Y intercept of this line, denoted B sub O, to predict the observed last-minute exercise value, denoted Y sub O, was enhanced by one of two distinct methods. For VO2 and HR, a linear least squares regression between Y sub O and B sub O was used to calculate correction co-efficients. The linear regression co-efficients of (B sub O - Y sub O) versus the slope (B sub 1) of the original regression line enhanced the prediction of the observed exercise level of V sub E. In a separate validation experiment using 6 different males, the mean predicted values for VO2, V sub E and HR differed from observed last minute exercise values. It is concluded that the equations described in this study, utilising data collected during the first minute of recovery from exercise, may be useful in estimating the metabolic cost of exercise in situations where it is impossible to make direct measurements.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1986
Accession Number
ADA168076

Entities

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Army Personnel
  • Body Composition
  • Body Temperature
  • Body Weight
  • Data Sets
  • Equations
  • Errors
  • Heart Rate
  • Intensity
  • Intervals
  • Manportable Equipment
  • Measurement
  • Military Research
  • Recovery
  • Respiration
  • Treadmills
  • Ventilation

Readers

  • Exercise and Sports Science.
  • Mathematics or Statistics
  • Regression Analysis.