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    Arch Phys Med Rehabil. 2012 Mar;93(3):490-5. Epub 2012 Jan 5.

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

    Source

    Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. robmotl@uiuc.edu

    Abstract

    OBJECTIVE:

    To examine the accuracy of predicting peak oxygen consumption (VO(2peak)) primarily from peak work rate (WR(peak)) 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 VO(2peak) and WR(peak).

    RESULTS:

    There were strong, statistically significant associations between measured and predicted VO(2peak) in the overall sample (R(2)=.89, standard error of the estimate=127.4 mL/min) and subsamples with (R(2)=.89, standard error of the estimate=131.3 mL/min) and without (R(2)=.85, standard error of the estimate=126.8 mL/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 VO(2) can be accurately predicted in persons with RRMS who have minimal disability as it is in controls by using established equations and WR(peak) recorded from a maximal, incremental exercise test on a cycle ergometer.

    Copyright © 2012 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

    PMID:
    22225573
    [PubMed - indexed for MEDLINE]

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