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

被引:1
作者
Tanner, Valerian [1 ]
Millet, Gregoire P. [1 ]
Bourdillon, Nicolas [1 ]
机构
[1] Univ Lausanne, Inst Sport Sci, Quartier UNIL Ctr, Batiment Synathlon, CH-1015 Lausanne, Switzerland
关键词
Heart rate variability; Ventilatory threshold; Lactate threshold; Sport; Intensity distribution; PROGRESSIVE RESISTANCE EXERCISE; RESPIRATORY SINUS ARRHYTHMIA; ARTERY-DISEASE PATIENTS; RANDOM-EFFECTS MODELS; ANAEROBIC THRESHOLD; ARTIFICIAL-INTELLIGENCE; GAS-EXCHANGE; DISTILLERSR SOFTWARE; PHYSICAL-ACTIVITY; CARDIAC PATIENTS;
D O I
10.1186/s40798-024-00768-8
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
BackgroundDetermining 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.MethodsSystematic 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.ResultsFifty 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.ConclusionHRVTs 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. HRV-derived thresholds (HRVT1 and HRVT2) showed trivial standardised mean differences and very strong correlations with their respective reference thresholds (lactate and ventilatory).Subjects' characteristics, ergometer, or initial and incremental workload did not impact HRVTs determination.HRVT2 is accurately determined by frequency-domain and non-linear HRV indices, and by using short increments during graded exercise tests.
引用
收藏
页数:38
相关论文
共 172 条
[1]  
Abou Hamdan Rami, 2016, Current Directions in Biomedical Engineering, V2, P155, DOI 10.1515/cdbme-2016-0036
[2]   The Female Heart: Sex Differences in the Dynamics of ECG in Response to Stress [J].
Adjei, Tricia ;
Xue, Jingwen ;
Mandic, Danilo P. .
FRONTIERS IN PHYSIOLOGY, 2018, 9
[3]   High statistical heterogeneity is more frequent in meta-analysis of continuous than binary outcomes [J].
Alba, Ana C. ;
Alexander, Paul E. ;
Chang, Joanne ;
Maclsaac, John ;
DeFry, Samantha ;
Guyatt, Gordon H. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2016, 70 :129-135
[4]   Predictive validity of ventilatory and lactate thresholds for cycling time trial performance [J].
Amann, M ;
Subudhi, AW ;
Foster, C .
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS, 2006, 16 (01) :27-34
[5]  
[Anonymous], 1983, Journal of Educational Statistics, DOI DOI 10.2307/1164923
[6]  
[Anonymous], 2023, A healthy lifestyle-WHO recommendations
[7]  
[Anonymous], 2007, American College of Sports Medicine's Metabolic Calculations Handbook, V1st
[8]   High-frequency oscillations of the heart rate during ramp load reflect the human anaerobic threshold [J].
Anosov, O ;
Patzak, A ;
Kononovich, Y ;
Persson, PB .
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2000, 83 (4-5) :388-394
[9]   Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance [J].
Ardern, Clare L. ;
Buttner, Fionn ;
Andrade, Renato ;
Weir, Adam ;
Ashe, Maureen C. ;
Holden, Sinead ;
Impellizzeri, Franco M. ;
Delahunt, Eamonn ;
Dijkstra, H. Paul ;
Mathieson, Stephanie ;
Rathleff, Michael Skovdal ;
Reurink, Guus ;
Sherrington, Catherine ;
Stamatakis, Emmanuel ;
Vicenzino, Bill ;
Whittaker, Jackie L. ;
Wright, Alexis A. ;
Clarke, Mike ;
Moher, David ;
Page, Matthew J. ;
Khan, Karim M. ;
Winters, Marinus .
BRITISH JOURNAL OF SPORTS MEDICINE, 2022, 56 (04) :175-195
[10]   Heart rate variability in athletes [J].
Aubert, AE ;
Seps, B ;
Beckers, F .
SPORTS MEDICINE, 2003, 33 (12) :889-919