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

IF 4.1 2区 医学 Q1 SPORT SCIENCES Sports Medicine - Open Pub Date : 2024-10-08 DOI:10.1186/s40798-024-00768-8
Valérian Tanner, Grégoire P Millet, Nicolas Bourdillon
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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 STARDHRV 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.

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心率变异性与通气和乳酸阈值之间的一致性:带 Meta 分析的系统综述。
背景:通过测量血液乳酸水平(乳酸阈值)或气体交换(通气阈值)来确定阈值,从而划分出不同的运动强度域,这对训练处方至关重要。本荟萃分析系统综述旨在通过计算心率变异性阈值与参考乳酸和通气阈值(LT-VTs)之间的一致性和相关性的总体效应大小,评估第一和第二心率变异性推导阈值(分别为 HRVT1 和 HRVT2)的总体有效性。此外,本综述还旨在评估受试者特征、心率变异方法和研究方案对 LT-VTs 和 HRVTs 之间的一致性和相关性的影响:方法:利用计算机对确定人体增量运动时心率变异性的研究进行了系统检索。采用随机效应模型对一致性和相关性进行了荟萃分析。通过亚组分析以及与受试者特征、增量运动方案和心率变异方法变量的元回归,探讨了异质性的原因。方法学质量采用 QUADAS-2 和 STARDHRV 工具进行评估。通过漏斗图、故障安全N检验、Egger截距检验以及Begg和Mazumdar秩相关检验评估偏倚风险: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 和 LT1-VT1 之间的标准化平均差异微不足道(SMD = 0.08,95% CI -0.04-0.19,n = 22),HRVT2 和 LT2-VT2 之间的标准化平均差异微不足道(SMD = -0.06,95% CI -0.15-0.03,n = 42)。HRVT1和LT1-VT1之间(r = 0.85,95% CI 0.75-0.91,n = 22)以及HRVT2和LT2-VT2之间(r = 0.85,95% CI 0.80-0.89,n = 41)的相关性非常强。此外,受试者的特征、测力计的类型、初始和增量工作量对 HRVTs 的测定没有影响:结论:HRVTs 与 LT-VTs 的差异很小,但相关性很强,因此可作为替代指标。这些结果表明,心率变异梯度是一种很有前途、容易获得且经济有效的方法,可用于运动和临床处方。
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来源期刊
Sports Medicine - Open
Sports Medicine - Open SPORT SCIENCES-
CiteScore
7.00
自引率
4.30%
发文量
142
审稿时长
13 weeks
期刊最新文献
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