Supplementary data for study: A reappraisal of ventilatory thresholds in wheelchair athletes - do they really exist? (doi:10.18710/MWLPVA)

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Supplementary data for study: A reappraisal of ventilatory thresholds in wheelchair athletes - do they really exist?

doi:10.18710/MWLPVA

DataverseNO

2021-03-26

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Baumgart, Julia Kathrin, 2021, "Supplementary data for study: A reappraisal of ventilatory thresholds in wheelchair athletes - do they really exist?", https://doi.org/10.18710/MWLPVA, DataverseNO, V1

Supplementary data for study: A reappraisal of ventilatory thresholds in wheelchair athletes - do they really exist?

Ventilatory thresholds in wheelchair athletes

doi:10.18710/MWLPVA

Baumgart, Julia Kathrin (NTNU – Norwegian University of Science and Technology)

NTNU – Norwegian University of Science and Technology

2021

DataverseNO

NTNU – Norwegian University of Science and Technology

Baumgart, Julia Kathrin

Baumgart, Julia Kathrin

2021-03-22

https://doi.org/10.18710/MWLPVA

Medicine, Health and Life Sciences, respiratory thresholds, gas exchange thresholds, breakpoints

The ventilatory threshold (VT) separates low- from moderate-intensity exercise, the respiratory compensation threshold (RCT) moderate- from high-intensity exercise. Both concepts assume breakpoints in respiratory data. However, the objective determination of VT and the RCT using breakpoint models during upper-body modality exercise in wheelchair athletes has received little attention. Therefore, the aim of this study was to compare the fit of breakpoint models (i.e. two linear regression lines) with continuous no-breakpoint models (i.e. exponential curve/ 2nd order polynomial) to respiratory data obtained during a graded exercise test to exhaustion. These fits were compared employing adjusted R2 and blocked bootstrapping was used to derive estimates of a median and 95% confidence intervals (CI). V̇O2-V̇CO2 and V̇E/V̇O2-time data were assessed for the determination of the VT, and V̇CO2-V̇E and V̇E/ V̇CO2-time data for the determination of the RCT. Data of 9 wheelchair athletes with tetraplegia, 8 with paraplegia and 7 with impairments other than a spinal cord injury were evaluated. In this data repository, in the text file we provide the median adjusted R2 for each individual participant (Supplementary data). Further, we provide a figure that explains how notched boxplots can be interpreted (Fig. S1).

2012-2012

Model fit of a breakpoint model and a non-breakpoint model to the respiratory data of wheelchair athletes obtained during an experimental study.

Christof Leicht and Katy Griggs, Loughborough University, United Kingdom

Note that the data of the participants with paraplegia (PARA) and tetraplegia (TETRA) were obtained as part of a previously published study by Leicht et al. (2014). Consequently, the participant characteristics of these two groups and the test protocol are similar to this study. In the present study we removed the data of one PARA and one TETRA due to incomplete data. In addition, we analyze hereto unpublished data of participants with other impairments (IMP) performing the same testing procedures. Leicht CA, Griggs KE, Lavin J, Tolfrey K, and Goosey-Tolfrey VL. Blood lactate and ventilatory thresholds in wheelchair athletes with tetraplegia and paraplegia. European Journal of Applied Physiology 114: 1635-1643, 2014

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00_DataverseNO_README.txt

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README file

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Fig S1.TIF

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Illustration of blocked boxplots

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Supplementary data S2.txt

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Individual model fit for breakpoint and no-breakpoint models in wheelchair athletes.

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