Abstract
Objectives
This study aimed at proposing a new heart rate (HR) method to track aerobic metabolism
in soccer by: (i) validating a recently developed HR index (HRindex) in professional soccer players, (ii) comparing HRindex vs the most common HR parameters and (iii) testing the agreement between measured
and estimated VO2 values using HRindex.
Design
cross-sectional.
Methods
184 professional soccer players performed a step incremental running test on a treadmill
while VO2 and HR were recorded. HRindex was calculated (actual HR/resting HR) and its relationship with VO2 was compared with the relationships with the metabolism of actual HR, net HR, and
% of HR reserve. Finally, HRindex was used to predict VO2 = ((HRindex · 6) − 5) · 3.5) and measured and estimated VO2 were compared by 2W RM-ANOVA and Bland–Altman analysis.
Results
HRindex/VO2 relationship explained 85% of the variability in data, showing a higher performance
than actual HR (77%) and similar values to the other parameters. Measured and estimated
VO2 were not significantly different ≤14 km h−1, whereas at speeds ≥14 km h−1 measured VO2 was higher than estimated VO2. Finally, measured and estimated VO2 were highly correlated (R2 = 0.85, p = 0.000), and showed no significant bias (bias = −1.03, z = −0.69, precision = 3.75 ml kg min−1).
Conclusions
We validated the HRindex/VO2 relationship in professional soccer players. HRindex showed better agreement with metabolism than actual HR and similar agreement to the
other HR parameters. HRindex allowed to estimate VO2, but at very high-intensity HRindex underestimated VO2. Future studies should test this in real game conditions. HRindex could offer a time-efficient and easy-to-use “field” method to monitor aerobic metabolism
in soccer.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of Science and Medicine in SportAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Match performance and physical capacity of players in the top three competitive standards of English professional soccer.Hum Mov Sci. 2013; 32: 808-821https://doi.org/10.1016/j.humov.2013.06.002
- The physiology of soccer – with special reference to intense intermittent exercise.Acta Physiol Scand Suppl. 1994; 619: 1-155https://doi.org/10.5007/1980-0037.2011v13n6p429
- Resynthesis of creatine phosphate in human muscle after exercise in relation to intramuscular ph and availability of oxygen.Scand J Clin Lab Invest. 1979; 39: 551-558https://doi.org/10.3109/00365517909108833
- Physiological and metabolic responses of repeated-sprint activities: specific to field-based team sports.Sport Med. 2005; 35: 1025-1044https://doi.org/10.2165/00007256-200535120-00003
- Use of RPE-based training load in soccer.Med Sci Sports Exerc. 2004; 36: 1042-1047https://doi.org/10.1249/01.MSS.0000128199.23901.2F
- The evolution of physical and technical performance parameters in the English Premier League.Int J Sports Med. 2014; 35: 1095-1100https://doi.org/10.1055/s-0034-1375695
- Heart rate monitoring: applications and limitations.Sport Med. 2003; 33: 517-538https://doi.org/10.2165/00007256-200333070-00004
- Heart rate monitoring in soccer: Interest and limits during competitive match play and training, practical application.J Strength Cond Res. 2012; 26: 2890-2906https://doi.org/10.1519/JSC.0b013e3182429ac7
- HR index-a simple method for the prediction of oxygen uptake.Med Sci Sports Exerc. 2011; 43: 2005-2012https://doi.org/10.1249/MSS.0b013e318217276e
- How accurate is the prediction of maximal oxygen uptake with treadmill testing.PLoS One. 2016; 11https://doi.org/10.1371/journal.pone.0166608
- The energy cost of human locomotion on land and in water.Int J Sports Med. 1986; 7: 55-72https://doi.org/10.1055/s-2008-1025736
- Heart rate-index estimates oxygen uptake, energy expenditure and aerobic fitness in rugby players.J Sport Sci Med. 2018; 17: 633-639
- Quantification of energy expenditure of military loaded runs: what is the performance of laboratory-based equations when applied to the field environment?.J R Army Med Corps. 2018; 164: 253-258https://doi.org/10.1136/jramc-2017-000887
- Use of the HR index to predict maximal oxygen uptake during different exercise protocols.Physiol Rep. 2013; 1: e00124https://doi.org/10.1002/phy2.124
- Body fat and physical fitness: body composition and lipid metabolism in different regimes of physical activity.Springer, Netherlands1977
- A 1% treadmill grade most accurately reflects the energetic cost of outdoor running.J Sports Sci. 1996; 14: 321-327https://doi.org/10.1080/02640419608727717
- Justification of the 4-mmol/l lactate threshold.Int J Sports Med. 1985; 6: 117-130https://doi.org/10.1055/s-2008-1025824
- Exercise intensity thresholds: identifying the boundaries of sustainable performance.Med Sci Sports Exerc. 2015; 47: 1932-1940https://doi.org/10.1249/MSS.0000000000000613
- Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation.Clin Cardiol. 1990; 13: 555-565https://doi.org/10.1002/clc.4960130809
- Discovering statistics using IBM SPSS statistics.Discov Stat Using IBM SPSS Stat. 2013; : 297-321https://doi.org/10.1016/B978-012691360-6/50012-4
- Heart rate and blood lactate concentrations as predictors of physiological load on elite soccer players during various soccer training activities.J Strength Cond Res. 2005; 19: 799-804https://doi.org/10.1519/R-15774.1
- Technical performance during soccer matches of the Italian Serie A league: effect of fatigue and competitive level.J Sci Med Sport. 2009; 12: 227-233https://doi.org/10.1016/j.jsams.2007.10.002
- Match performance of high-standard soccer players with special reference to development of fatigue.J Sports Sci. 2003; 21: 519-528https://doi.org/10.1080/0264041031000071182
- Internal and external training load: 15 years on.Int J Sports Physiol Perform. 2019; 14: 270-273https://doi.org/10.1123/ijspp.2018-0935
- Anthropometrics of Italian senior male rugby union players: From elite to second division.Int J Sports Physiol Perform. 2015; 10: 674-680https://doi.org/10.1123/ijspp.2015-0014
- Physical fitness of elite Belgian soccer Players by player position.J Strength Cond Res. 2012; 26: 2051-2057https://doi.org/10.1519/JSC.0b013e318239f84f
- Anthropometric and physiological characteristics of male Soccer players according to their competitive level, playing position and age group: a systematic review.J Sports Med Phys Fitness. 2017; 59: 141-163https://doi.org/10.23736/S0022-4707.17.07950-6
- Determination of the anaerobic threshold by a noninvasive field test in runners.J Appl Physiol. 1982; 63: 869-873https://doi.org/10.1152/jappl.1982.52.4.869
- Comparison between slow components of HR and VO2 kinetics.Med Sci Sport Exerc. 2018; 50: 1649-1657https://doi.org/10.1249/MSS.0000000000001612
- Cardiovascular drift during prolonged exercise: new perspectives.Exerc Sport Sci Rev. 2001; 29: 88-92
- Examining variations of resting metabolic rate of adults: a public health perspective.Med Sci Sports Exerc. 2014; 46: 1352-1358https://doi.org/10.1249/MSS.0000000000000232
- Comparison of conventional and individualized 1-MET values for expressing maximum aerobic metabolic rate and habitual activity related energy expenditure.Nutrients. 2019; 11: 1-16https://doi.org/10.3390/nu11020458
Article info
Publication history
Published online: April 26, 2020
Accepted:
April 17,
2020
Received in revised form:
April 13,
2020
Received:
December 10,
2019
Identification
Copyright
© 2020 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.