Rowing-Ramp Protocol as A Cardiopulmonary Exercise Test for Hemiparetic Stroke Survivors
- Author:
D. MARYAMA AD
1
Author Information
1. Sports Science Department, Universiti Malaysia Sabah, Kota Kinabalu, 88400 Sabah, Malaysia
- Collective Name:D. MARYAMA AD; MELVINA MC
- Publication Type:Journal Article
- Keywords:
cardiopulmonary exercise test;
oxygen consumption;
rowing;
CPET protocol;
stroke hemiparetic
- From:Medicine and Health
2019;14(1):157-171
- CountryMalaysia
- Language:English
-
Abstract:
Cardiopulmonary capacity should be evaluated accurately to determine exercise
intolerance and training intensity of stroke survivors before an exercise rehabilitation
programme is prescribed. However, no cardiopulmonary exercise test (CPET) is
suitable because of the stroke victims’ physical impairment. The aim of this study
was to develop and validate a new rowing-ramp protocol as a CPET for stroke
survivors. Eleven stroke patients (6 male; 5 female; age, 45 + 16.01 years, performed
two incremental exercise tests on a Concept II rowing ergometer to determine the
peak oxygen consumption (VO2 peak). Test-retest reliability for VO2 peak, measured
1-week apart, resulted in an intra-class correlation of 0.97 and 0.95, respectively. A
linear regression equation was developed to predict the VO2 peak from final stage
stroke power. Validity and reliability of the prediction equation were established.
The regression equation for predicted VO2 peak was VO2 peak=11.429±+ 0.232
(Final Stage Stroke Power) + 12.63 (F=25.326, p<0.01; R=0.859, R2=0.738). Limits
of agreement between predicted and measured VO2 peak were acceptable, with
a mean bias of 0.37 ml/kg/min. The validity coefficient (R) was 0.83 (p<0.01) and
0.81 (p<0.01) in both trials. Test-Retest reliability coefficient for predicted VO2 peak
0.95 (p<0.01). The positive relationship between Final Stage Stroke Power and VO2
peak suggests that the Rowing-Ramp protocol could be used to measure VO2 peak
of stroke survivors. Additional studies are needed to cross-validate the regression
equation using larger sample size, different type and severity of stroke.
- Full text:12.2019my0127.pdf
