Accurate prediction of cardiorespiratory fitness using cycle ergometry in minimally disabled persons with relapsing-remitting multiple sclerosis

Robert W. Motl, Bo Fernhall

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To examine the accuracy of predicting peak oxygen consumption (VO2peak) primarily from peak work rate (WRpeak) recorded during a maximal, incremental exercise test on a cycle ergometer among persons with relapsing-remitting multiple sclerosis (RRMS) who had minimal disability. Design: Cross-sectional study. Setting: Clinical research laboratory. Participants: Women with RRMS (n=32) and sex-, age-, height-, and weight-matched healthy controls (n=16) completed an incremental exercise test on a cycle ergometer to volitional termination. Intervention: Not applicable. Main Outcome Measures: Measured and predicted VO2peak and WRpeak. Results: There were strong, statistically significant associations between measured and predicted VO2peak in the overall sample (R 2=.89, standard error of the estimate=127.4mL/min) and subsamples with (R2=.89, standard error of the estimate=131.3mL/ min) and without (R2=.85, standard error of the estimate= 126.8mL/min) multiple sclerosis (MS) based on the linear regression analyses. Based on the 95% confidence limits for worst-case errors, the equation predicted VO 2peak within 10% of its true value in 95 of every 100 subjects with MS. Conclusions: Peak VO2 can be accurately predicted in persons with RRMS who have minimal disability as it is in controls by using established equations and WRpeak recorded from a maximal, incremental exercise test on a cycle ergometer.

Original languageEnglish (US)
Pages (from-to)490-495
Number of pages6
JournalArchives of Physical Medicine and Rehabilitation
Volume93
Issue number3
DOIs
StatePublished - Mar 2012

Keywords

  • Multiple sclerosis
  • Physical fitness
  • Rehabilitation

ASJC Scopus subject areas

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation

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