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心率变异性衍生指标与通气阈值和乳酸阈值之间的一致性:一项荟萃分析的系统评价

Agreement Between Heart Rate Variability - Derived vs. Ventilatory and Lactate Thresholds: A Systematic Review with Meta-Analyses.

作者信息

Tanner Valérian, Millet Grégoire P, Bourdillon Nicolas

机构信息

Quartier UNIL-Centre, Institute of Sport Sciences, University of Lausanne, Bâtiment Synathlon, Lausanne, 1015, Switzerland.

出版信息

Sports Med Open. 2024 Oct 8;10(1):109. doi: 10.1186/s40798-024-00768-8.

Abstract

BACKGROUND

Determining thresholds by measuring blood lactate levels (lactate thresholds) or gas exchange (ventilatory thresholds) that delineate the different exercise intensity domains is crucial for training prescription. This systematic review with meta-analyses aims to assess the overall validity of the first and second heart rate variability - derived threshold (HRVT1 and HRVT2, respectively) by computing global effect sizes for agreement and correlation between HRVTs and reference - lactate and ventilatory (LT-VTs) - thresholds. Furthermore, this review aims to assess the impact of subjects' characteristics, HRV methods, and study protocols on the agreement and correlation between LT-VTs and HRVTs.

METHODS

Systematic computerised searches for studies determining HRVTs during incremental exercise in humans were conducted. The agreements and correlations meta-analyses were conducted using a random-effect model. Causes of heterogeneity were explored by subgroup analysis and meta-regression with subjects' characteristics, incremental exercise protocols, and HRV methods variables. The methodological quality was assessed using QUADAS-2 and STARD tools. The risk of bias was assessed by funnel plots, fail-safe N test, Egger's test of the intercept, and the Begg and Mazumdar rank correlation test.

RESULTS

Fifty included studies (1160 subjects) assessed 314 agreements (95 for HRVT1, 219 for HRVT2) and 246 correlations (82 for HRVT1, 164 for HRVT2) between LT-VTs and HRVTs. The standardized mean differences were trivial between HRVT1 and LT1-VT1 (SMD = 0.08, 95% CI -0.04-0.19, n = 22) and between HRVT2 and LT2-VT2 (SMD = -0.06, 95% CI -0.15-0.03, n = 42). The correlations were very strong between HRVT1 and LT1-VT1 (r = 0.85, 95% CI 0.75-0.91, n = 22), and between HRVT2 and LT2-VT2 (r = 0.85, 95% CI 0.80-0.89, n = 41). Moreover, subjects' characteristics, type of ergometer, or initial and incremental workload had no impact on HRVTs determination.

CONCLUSION

HRVTs showed trivial differences and very strong correlations with LT-VTs and might thus serve as surrogates. These results emphasize the usefulness of HRVTs as promising, accessible, and cost-effective means for exercise and clinical prescription purposes.

摘要

背景

通过测量血乳酸水平(乳酸阈值)或气体交换(通气阈值)来确定划分不同运动强度领域的阈值对于训练处方至关重要。这项带有荟萃分析的系统评价旨在通过计算心率变异性衍生的第一和第二阈值(分别为HRVT1和HRVT2)与参考乳酸和通气(LT-VT)阈值之间一致性和相关性的总体效应量,来评估其整体有效性。此外,本评价旨在评估受试者特征、心率变异性方法和研究方案对LT-VT与HRVT之间一致性和相关性的影响。

方法

对确定人类递增运动期间HRVT的研究进行系统的计算机检索。使用随机效应模型进行一致性和相关性荟萃分析。通过亚组分析和对受试者特征、递增运动方案和心率变异性方法变量的荟萃回归来探索异质性原因。使用QUADAS-2和STARD工具评估方法学质量。通过漏斗图、失效安全N检验、Egger截距检验以及Begg和Mazumdar等级相关检验评估偏倚风险。

结果

纳入的50项研究(1160名受试者)评估了LT-VT与HRVT之间的314项一致性(HRVT1为95项,HRVT2为219项)和246项相关性(HRVT1为82项,HRVT2为164项)。HRVT1与LT1-VT1之间(标准化均差SMD = 0.08,95%置信区间 -0.04 - 0.19,n = 22)以及HRVT2与LT2-VT2之间(SMD = -0.06,95%置信区间 -0.15 - 0.03,n = 42)的标准化均差微不足道。HRVT1与LT1-VT1之间(r = 0.85,95%置信区间0.75 - 0.91,n = 22)以及HRVT2与LT2-VT2之间(r = 0.85,95%置信区间0.80 - 0.89,n = 41)的相关性非常强。此外,受试者特征、测力计类型或初始及递增负荷对HRVT的确定没有影响。

结论

HRVT与LT-VT之间差异微不足道且相关性非常强,因此可作为替代指标。这些结果强调了HRVT作为用于运动和临床处方目的的有前景、易获取且具成本效益的手段的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd0c/11461412/d57aac84dda1/40798_2024_768_Fig1_HTML.jpg

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