Can the 6MST be used to estimate endurance training intensity? A cross sectional study.

<bold>Background:</bold> Home-based pulmonary rehabilitation (PR) can address the limited access to center-based programs. This approach notwithstanding requires an in-center evaluation as no home-feasible field test has been validated to estimate endurance training intensity. <bold>Aim:</bold> To evaluate the predictive capability of the six-minute stepper test (6MST) in determining training intensity based on cardiopulmonary exercise testing (CPET). <bold>Method:</bold> A multicenter (N=3) cross-sectional study including COPD patients referred for PR with CPET was conducted. Participants underwent two 6MSTs and its predictive capability in determining heart rate at the ventilatory threshold (HRvt), corresponding workload (Wvt), and peak workload (Wpeak) based on CPET was assessed using multivariate stepwise regression, incorporating physiological parameters and performance during the 6MST as well as baseline characteristics. <bold>Results:</bold> One-hundred and five patients were included. They were aged 61 (SD 9) years, weighted 70 (SD 14) kg, had moderate obstruction (FEV1: 61 (SD 21) %), impaired exercise capacity (VO2peak 15.5 (SD 4.4) ml/kg/min) and they performed 231 (SD 74) steps during the 6MST. Predictive equations and correlation coefficients are shown in table 1. <bold>Conclusion:</bold> The 6MST may be useful in estimating endurance training intensity. Future study should assess the external validity these findings. <table-wrap><object-id>erj;64/suppl_68/PA600/TB1</object-id><object-id>T1</object-id><object-id>TB1</object-id><table><colgroup><col></col><col></col></colgroup><tbody><tr><td>Predictive equations</td><td>R², p value</td></tr><tr><td>HRvt = 0.60 x HR1-3 (bpm) + 0.661 x BMI (kg/m²) – 0.33 x age (years) + 49.54</td><td>0.377, p<0.01</td></tr><tr><td>Wvt = 0.44 x weight (kg) + 0.15 x step count + 8.37 x FEV1 (L) -0.08 x HR4-6 (bpm) -24.29</td><td>0.615, p<0.01</td></tr><tr><td>Wpeak = 0.61 x weight (kg) + 0.22 x steps count + 18.74 x FEV1 (L) -0.15 x HR4-6 (bpm) -29.83</td><td>0.745, p<0.01</td></tr></tbody></table></table-wrap>

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa600
Primary Topic
Sports injuries and prevention
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article
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article

Can the 6MST be used to estimate endurance training intensity? A cross sectional study.

Jean‐Marie Grosbois, Jean‐François Muir, Pauline Smondack, Clément Médrinal et al.
Sports injuries and prevention
article

Can the 6MST be used to estimate endurance training intensity? A cross sectional study.

Jean‐Marie Grosbois, Jean‐François Muir, Pauline Smondack, Clément Médrinal, Guillaume Prieur, Tristan Bonnevie, Francis‐Edouard Gravier, David Debeaumont, Marc Beaumont, A. Cuvelier, Yann Combret, Élise Artaud-Macari, Fairuz Boujibar, Augustin Clet, Jean-Sébastien Prévinaire
article en

Abstract

<bold>Background:</bold> Home-based pulmonary rehabilitation (PR) can address the limited access to center-based programs. This approach notwithstanding requires an in-center evaluation as no home-feasible field test has been validated to estimate endurance training intensity. <bold>Aim:</bold> To evaluate the predictive capability of the six-minute stepper test (6MST) in determining training intensity based on cardiopulmonary exercise testing (CPET). <bold>Method:</bold> A multicenter (N=3) cross-sectional study including COPD patients referred for PR with CPET was conducted. Participants underwent two 6MSTs and its predictive capability in determining heart rate at the ventilatory threshold (HRvt), corresponding workload (Wvt), and peak workload (Wpeak) based on CPET was assessed using multivariate stepwise regression, incorporating physiological parameters and performance during the 6MST as well as baseline characteristics. <bold>Results:</bold> One-hundred and five patients were included. They were aged 61 (SD 9) years, weighted 70 (SD 14) kg, had moderate obstruction (FEV1: 61 (SD 21) %), impaired exercise capacity (VO2peak 15.5 (SD 4.4) ml/kg/min) and they performed 231 (SD 74) steps during the 6MST. Predictive equations and correlation coefficients are shown in table 1. <bold>Conclusion:</bold> The 6MST may be useful in estimating endurance training intensity. Future study should assess the external validity these findings. <table-wrap><object-id>erj;64/suppl_68/PA600/TB1</object-id><object-id>T1</object-id><object-id>TB1</object-id><table><colgroup><col></col><col></col></colgroup><tbody><tr><td>Predictive equations</td><td>R², p value</td></tr><tr><td>HRvt = 0.60 x HR1-3 (bpm) + 0.661 x BMI (kg/m²) – 0.33 x age (years) + 49.54</td><td>0.377, p<0.01</td></tr><tr><td>Wvt = 0.44 x weight (kg) + 0.15 x step count + 8.37 x FEV1 (L) -0.08 x HR4-6 (bpm) -24.29</td><td>0.615, p<0.01</td></tr><tr><td>Wpeak = 0.61 x weight (kg) + 0.22 x steps count + 18.74 x FEV1 (L) -0.15 x HR4-6 (bpm) -29.83</td><td>0.745, p<0.01</td></tr></tbody></table></table-wrap>

Université Le Havre Normandie (FR), Inserm (FR), Université de Bretagne Occidentale (FR), Université de Versailles Saint-Quentin-en-Yvelines (FR), Université Paris-Saclay (FR), AGIR à dom (FR), Normandie Université (FR), ADIR Association (FR), Centre Hospitalier Régional Universitaire de Brest (FR), Centre Hospitalier de Béthune (FR), Centre Hospitalier des Pays de Morlaix (FR), Université de Rouen Normandie (FR), Institut National des Sciences Appliquées Rouen Normandie (FR)
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