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

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MOTL RW; FERNHALL B
ARCH PHYS MED REHABIL , 2012, vol. 93, n° 3, p. 490-495
Doc n°: 158362
Localisation : Documentation IRR , en ligne

D.O.I. : http://dx.doi.org/DOI:10.1016/j.apmr.2011.08.025
Descripteurs : AE3 - SEP Url : http://www.archives-pmr.org/issues

Article consultable sur : http://www.archives-pmr.org

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.
CI - Copyright (c) 2012 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS

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