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Validity and Reliability of a New Wearable Chest Strap to Estimate Respiratory Frequency in Elite Soccer Athletes.

Authors :
Di Paco A
Bonilla DA
Perrotta R
Canonico R
Cione E
Cannataro R
Source :
Sports (Basel, Switzerland) [Sports (Basel)] 2024 Oct 12; Vol. 12 (10). Date of Electronic Publication: 2024 Oct 12.
Publication Year :
2024

Abstract

Assessing respiratory frequency ( f <subscript>R</subscript> ) is practical in monitoring training progress in competitive athletes, especially during exercise. This study aimed to validate a new wearable chest strap (wCS) to estimate f <subscript>R</subscript> against ergospirometry as a criterion device in soccer players. A total of 26 elite professional soccer players (mean [standard deviation]: 23.6 [4.8] years; 180.6 [5.7] cm; 77.2 [5.4] kg) from three Italian Serie A League teams participated in this cross-sectional study. The sample included attackers, midfielders, and defenders. f <subscript>R</subscript> was assessed during a maximal cardiopulmonary exercise test (CPET) on a treadmill using (i) a breath-by-breath gas exchange analyzer (Vyntus <superscript>®</superscript> CPX, Vyaire Medical) and (ii) a novel wCS with sensors designed to assess breath frequency following chest expansions. Pearson's correlation coefficient ( r ), adjusted coefficient of determination (aR <superscript>2</superscript> ), Bland-Altman plot analysis, and Lin's concordance correlation coefficient (ρ <subscript>c</subscript> ) were used for comparative analysis (correlation and concordance) among the methods. The repeated measures correlation coefficient (r <subscript>rm</subscript> ) was used to assess the strength of the linear association between the methods. The intraclass correlation coefficient (ICC) and the Finn coefficient (r <subscript>F</subscript> ) were used for inter-rater reliability. All statistical analyses were performed within the R statistical computing environment, with 95% confidence intervals (95% CIs) reported and statistical significance set at p < 0.05. A total of 16529 comparisons were performed after collecting the CPET data. The robust time series analysis with Hodges-Lehmann estimation showed no significant differences between both methods ( p > 0.05). Correlation among devices was statistically significant and very large ( r [95% CI]: 0.970 [0.970, 0.971], p < 0.01; aR <superscript>2</superscript> [95% CI]: 0.942 [0.942, 0.943], p < 0.01) with strong evidence supporting consistency of the new wCS (BF <subscript>10</subscript> > 100). In addition, a high concordance was found (ρ <subscript>c</subscript> [95% CI]: 0.970 [0.969, 0.971], bias correction factor: 0.999). Vyntus <superscript>TM</superscript> CPX, as a standard criterion, showed moderate agreement with wCS after Bland-Altman analysis (bias [95% lower to the upper limit of agreement]; % agree: 0.170 [-4.582 to 4.923] breaths·min <superscript>-1</superscript> ; 69.9%). A strong association between measurements (r <subscript>rm</subscript> [95% CI]: 0.960 [0.959, 0.961]), a high absolute agreement between methods (ICC [95% CI]: 0.970 [0.970, 0.971]), and high inter-rater reliability (r <subscript>F</subscript> : 0.947) were found. With an RMSE = 2.42 breaths·min <superscript>-1</superscript> , the new wCS seems to be an valid and reliable in-field method to evaluate f <subscript>R</subscript> compared to a breath-by-breath gas exchange analyzer. Notwithstanding, caution is advised if methods are used interchangeably while further external validation occurs.

Details

Language :
English
ISSN :
2075-4663
Volume :
12
Issue :
10
Database :
MEDLINE
Journal :
Sports (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
39453243
Full Text :
https://doi.org/10.3390/sports12100277