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Published in: Neurological Sciences 7/2022

09-02-2022 | Stroke | Original Article

Oxygen pulse best predicts energy expenditure during stair ascent and descent in individuals with chronic stroke

Authors: Janaine C. Polese, Louise Ada, Giane A. Ribeiro-Samora, Danielle A.G. Pereira, Luci F. Teixeira-Salmela

Published in: Neurological Sciences | Issue 7/2022

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Abstract

Background

To determine whether minute ventilation-to-carbon dioxide production (VE/VCO2), oxygen pulse (VO2/HR), and rate pressure product (RPP: VO2 * HR/1000) can explain energy expenditure during stair ascent/descent and whether energy expenditure during stair ascent/descent can discriminate between walking abilities in individuals with chronic stroke.

Materials and methods

Regression analysis of cross-sectional data from 50 individuals between 1 and 4 years post-stroke was carried out to investigate the prediction of energy expenditure during stair ascent/descent. In addition, discriminant analysis was carried out to investigate the discrimination between walking abilities for energy expenditure: community (walking speed ≥ 0.8 m/s) and non-community (walking speed < 0.8 m/s) walkers.

Results

Oxygen pulse and rate pressure product were retained in the model. Oxygen pulse alone explained 70% of the variance in energy expenditure during stair ascent/descent. By adding rate pressure product, 79% of the variance was explained. Energy expenditure was able to discriminate the community from the non-community walkers, with a cutoff value of 13.8 ml∙kg−1∙min−1 and correctly classified 62% of the non-community and 78% of the community walkers.

Conclusion

Oxygen pulse and rate pressure product significantly predicted energy expenditure during stair ascent/descent in individuals with chronic stroke. Energy expenditure during stair ascent/descent discriminated community from non-community walkers
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Metadata
Title
Oxygen pulse best predicts energy expenditure during stair ascent and descent in individuals with chronic stroke
Authors
Janaine C. Polese
Louise Ada
Giane A. Ribeiro-Samora
Danielle A.G. Pereira
Luci F. Teixeira-Salmela
Publication date
09-02-2022
Publisher
Springer International Publishing
Keyword
Stroke
Published in
Neurological Sciences / Issue 7/2022
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-022-05939-7

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