Di Paco Adriano, Bonilla Diego A, Perrotta Rocco, Canonico Raffaele, Cione Erika, Cannataro Roberto
Lung Unit Division, San Rossore Clinic, 56122 Pisa, Italy.
Research Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia.
Sports (Basel). 2024 Oct 12;12(10):277. doi: 10.3390/sports12100277.
Assessing respiratory frequency () 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 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. was assessed during a maximal cardiopulmonary exercise test (CPET) on a treadmill using (i) a breath-by-breath gas exchange analyzer (Vyntus CPX, Vyaire Medical) and (ii) a novel wCS with sensors designed to assess breath frequency following chest expansions. Pearson's correlation coefficient (), adjusted coefficient of determination (aR), Bland-Altman plot analysis, and Lin's concordance correlation coefficient (ρ) were used for comparative analysis (correlation and concordance) among the methods. The repeated measures correlation coefficient (r) was used to assess the strength of the linear association between the methods. The intraclass correlation coefficient (ICC) and the Finn coefficient (r) 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 < 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 ( > 0.05). Correlation among devices was statistically significant and very large ( [95% CI]: 0.970 [0.970, 0.971], < 0.01; aR [95% CI]: 0.942 [0.942, 0.943], < 0.01) with strong evidence supporting consistency of the new wCS (BF > 100). In addition, a high concordance was found (ρ [95% CI]: 0.970 [0.969, 0.971], bias correction factor: 0.999). Vyntus 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; 69.9%). A strong association between measurements (r [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: 0.947) were found. With an RMSE = 2.42 breaths·min, the new wCS seems to be an valid and reliable in-field method to evaluate compared to a breath-by-breath gas exchange analyzer. Notwithstanding, caution is advised if methods are used interchangeably while further external validation occurs.
评估呼吸频率()对于监测竞技运动员的训练进展非常实用,尤其是在运动期间。本研究旨在验证一种新型可穿戴胸带(wCS),以针对作为足球运动员标准设备的气体代谢测定法来估算。来自三支意大利甲级联赛球队的总共26名精英职业足球运动员(平均[标准差]:23.6[4.8]岁;180.6[5.7]厘米;77.2[5.4]千克)参与了这项横断面研究。样本包括前锋、中场球员和后卫。在跑步机上进行的最大心肺运动测试(CPET)期间,使用(i)逐次呼吸气体交换分析仪(Vyntus CPX,Vyaire Medical)和(ii)一种带有旨在在胸部扩张后评估呼吸频率的传感器的新型wCS来评估。使用Pearson相关系数()、调整后的决定系数(aR)、Bland-Altman图分析和Lin一致性相关系数(ρ)对这些方法进行比较分析(相关性和一致性)。重复测量相关系数(r)用于评估这些方法之间线性关联的强度。组内相关系数(ICC)和Finn系数(r)用于评估评分者间信度。所有统计分析均在R统计计算环境中进行,报告95%置信区间(95%CI),并将统计学显著性设定为<0.05。收集CPET数据后共进行了16529次比较。采用Hodges-Lehmann估计的稳健时间序列分析表明,两种方法之间无显著差异(>0.05)。设备之间的相关性具有统计学显著性且非常高([95%CI]:0.970[0.970,0.971],<0.01;aR[95%CI]:0.942[0.942,0.943],<0.01),有强有力的证据支持新型wCS的一致性(BF>100)。此外,发现具有高度一致性(ρ[95%CI]:0.970[0.969,0.971],偏差校正因子:0.999)。作为标准准则的Vyntus CPX在Bland-Altman分析后与wCS显示出中等一致性(偏差[一致性下限到上限];%一致:0.170[-4.582到4.923]次呼吸·分钟;69.9%)。发现测量之间有很强的关联(r[95%CI]:0.960[0.959,0.961]),方法之间有很高的绝对一致性(ICC[95%CI]:0.970[0.970,0.971]),以及很高的评分者间信度(r:0.947)。新的wCS的均方根误差(RMSE)为每分钟2.42次呼吸,与逐次呼吸气体交换分析仪相比,似乎是一种有效且可靠的现场评估方法。尽管如此,如果在进一步的外部验证期间互换使用这些方法,建议谨慎行事。