Advertisement

European Journal of Applied Physiology

, Volume 87, Issue 4–5, pp 350–357 | Cite as

A novel rating scale to predict maximal exercise capacity

  • Anita G. Wisén
  • Reza G. Farazdaghi
  • Björn Wohlfart
Original Article

Abstract.

To predict maximal exercise capacity, we have developed the rating of perceived capacity (RPC) scale, based on metabolic equivalents (METs). MET values from 1 to 20 were listed on a progressive scale and linked to physical activities. Test subjects rated their perceived capacity by choosing the most strenuous activity and the corresponding MET value that they could sustain for 30 min. In order to validate the RPC, 87 healthy women participated in the study (age range 21–79 years). The capacity rated from the scale (METRPC) was compared with the actual work capacity in a maximal incremental ramp cycle test. The maximal load achieved at the cycle test (in W), was transformed into the unit MET (METtest). The mean difference between METRPC and METtest was –1.4 (3.18) (2SD). Multiple linear regression showed that METtest depended significantly on METRPC and age. Extended regression analysis suggested that a nonlinear correction was most appropriate in order to improve the prediction. The maximal predicted capacity was given by: METpred=(5.08+0.70·METRPC)/[1+(e0.059 (age–87.2))]. After this correction, the mean difference between METpred and METtest was reduced to 0.0 (2.62) (2SD). Reference values for METpred and METtest were also obtained. In conclusion, the RPC combined with an age correction was shown to predict accurately maximal exercise capacity; it is also quick and easy to use. Thus, RPC may be a valuable tool in the prescription of exercise and in monitoring the effects of exercise and rehabilitation.

Self-assessed Exercise capacity METs Activity level Reference values 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag 2002

Authors and Affiliations

  • Anita G. Wisén
    • 1
  • Reza G. Farazdaghi
    • 1
  • Björn Wohlfart
    • 1
  1. 1.Department of Clinical Physiology, Lund University, SE-221 85 Lund, Sweden

Personalised recommendations