Heart rate-index estimates aerobic metabolism in professional soccer players

Colosio, Alessandro L.; Lievens, Maarten; Pogliaghi, Silvia; Bourgois, Jan; Boone, Jan

doi:10.1016/j.jsams.2020.04.015

Cited by 12 publications

(12 citation statements)

References 30 publications

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“…Ergometer position was chosen during the first ramp incremental test and recorded for the successive appointments. Moreover, to minimize the variability of glycogen oxidation, participants consumed the following standardized meal 2 h before all the testing sessions: 500 cc of water and 2 g•kg −1 of low glycemic index carbohydrates (11).…”

Section: Protocolmentioning

confidence: 99%

“…Whenever the quantification or implementation of workload is impossible or impractical (e.g., unavailable individual V ˙O2 /workload relationship, workload resulting from combinations of speed and inclination, or a complex movement task in a real-life context), heart rate (HR) remains one of the most commonly used methods to prescribe intensity in sport and clinical practice. The prescription of exercise intensity using HR targets requires the continuous monitoring of HR and relies on the existence and constancy over time of a linear relationship with V ˙O2 (absolute, relative to max/reserve and metabolic equivalents) (11)(12)(13). However, the validity of HR as an index of metabolic intensity over time has been recently questioned; an increase of HR over time, totally or partially dissociated from the slow component of V ˙O2 (scV ˙O2 ) has been observed during constant work exercise in healthy adults (14) and individuals with obesity (15).…”

Section: "Ementioning

confidence: 99%

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An Intensity-dependent Slow Component of HR Interferes with Accurate Exercise Implementation in Postmenopausal Women

Teso

Colosio

Pogliaghi

2021

Medicine &Amp; Science in Sports &Amp; Exercise

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Heart rate (HR) targets are commonly used to administer exercise intensity in sport and clinical practice. However, as exercise protracts, a time-dependent dissociation between HR and metabolism can lead to a misprescription of the intensity ingredient of the exercise dose.PurposeWe tested the hypothesis that a slow component of HR (i.e., scHR) occurs in all intensity domains, greater than the slow component of oxygen uptake (scV˙O2), and we developed an equation to predict it across exercise intensities.MethodEighteen healthy, postmenopausal women (54 ± 4 yr) performed on a cycle ergometer: i) a ramp incremental test for thresholds and V˙O2max detection; ii) 30-min constant work exercise at 40%, 50%, 60%, 70%, and 80% V˙O2max for the measurement of scHR, scV˙O2, stroke volume, and body temperature (T°). scHR and scV˙O2 were compared by two-way repeated-measures ANOVA (intensity and variable). Pearson correlation was calculated between the slow component of all variables, relative intensity, and domain. scHR (in beats per minute) was predicted with a linear model based on exercise intensity relative to the respiratory compensation point (RCP).ResultsA positive scHR was present in all domains, twice the size of scV̇O2 (P < 0.001), and significantly correlated with the slow components of V̇O2 (r2 = 0.46), T° (r2 = 0.52), and relative intensity (r2 = 0.66). A linear equation accurately predicts scHR based on %RCP (r2 = 0.66, SEE = 0.15).ConclusionsA mismatch exists between the slow components of HR and metabolic intensity. Whenever exercise is prescribed based on HR, target values should be adjusted over time to grant that the desired metabolic stimulus is maintained throughout the exercise session.

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Section: Protocolmentioning

confidence: 99%

Section: "Ementioning

confidence: 99%

An Intensity-dependent Slow Component of HR Interferes with Accurate Exercise Implementation in Postmenopausal Women

Teso

Colosio

Pogliaghi

2021

Medicine &Amp; Science in Sports &Amp; Exercise

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“…The VO 2peak was assessed during preseason using a step-incremental maximal running test on a treadmill (Mercury). Two clubs used the protocol and metabolic cart which were previously described in Colosio et al (2020). 23 Players from the other clubs started running at 5.4 km.h −1 and speed was increased by 1.8 km.h −1 every 3 min until volitional exhaustion, while pulmonary gas exchange was measured continuously (Cortex Metalyzer II and 3B).…”

Section: Maximal Incremental Running Testmentioning

confidence: 99%

In professional football the decline in high‐intensity running activities from first to second half is more pronounced in players with a fast muscle typology

Van de Casteele,

Deprez,

Van Haaren

et al. 2023

Scandinavian Med Sci Sports

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Muscle typology is heterogeneous among national level football (soccer) players, but positional differences remain unclear. Furthermore, fast typology (FT) individuals fatigue more than slow typology (ST) individuals in lab conditions. Therefore, we investigated if muscle typology is different between playing positions and if the decay in high‐intensity activities from the first to the second half is larger in FT football players than in ST players. We estimated muscle typology in 147 male professional football players by measuring soleus and gastrocnemius muscle carnosine via proton magnetic resonance spectroscopy. Players were classified as ST, intermediate typology (IT) or FT and categorized as goalkeeper, center back, full back, midfielder, winger or forward. Across four seasons in‐game distances covered in multiple running speed, acceleration and deceleration zones were collected during the first and second half. We found no differences in muscle typology between positions (p = 0.412). FT players covered 10.9% more high acceleration distance (>3 m.s−2) in the first half than ST players (p = 0.021) and high acceleration distance decay was larger for FT players (−12.4%) than ST (−7.7%; p = 0.006) and IT players (−7.3%; p = 0.010). Moreover, the decline in distance covered in several high‐intensity zones tended to be larger in FT players (−11.2% high‐intensity >15 km.h−1; −12.7% high deceleration <−3 m.s−2; −11.5% medium acceleration 2‐3 m.s−2) than in ST players (−7.1% high‐intensity; −8.1% high deceleration; −8.1% medium acceleration; 0.05 < p < 0.1). In conclusion, possessing a particular muscle typology is not required to play any football position at the national level. However, there are indications that FT players might fatigue more toward the end of the game compared to ST players.

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“…Heart rate (HR) is often used as an on-field measure for evaluating the intensity of exercise and has been shown to have a linear relationship with VO2 over a large range of submaximal intensities (Li et al 2016). Researchers have developed a series of HR-derived measures to evaluate internal loads, these include the ratio between the actual HR and the maximum HR, the ratio between the actual HR and the resting HR, binning of the ratios into different intensity zones, heart rate variability (HRV), and training impulse (TRIMP) which is computed from heart rate and duration (Stagno et al 2007, Bourdon et al 2017, Colosio et al 2020. There are numerous studies on the abilities of HR-related metrics to capture fatigue and performance in various sports, though the actual effectiveness of these measures has been brought into question.…”

Section: Internal Workload Monitoring In Contact Sportsmentioning

confidence: 99%

Impact and workload are dominating on-field data monitoring techniques to track health and well-being of team-sports athletes

Cheng

Bergmann

2022

Physiol. Meas.

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Participation in sports has become an essential part of healthy living in today’s world. However, injuries can often occur during sports participation. With advancements in sensor technology and data analytics, many sports have turned to technology-aided, data-driven, on-field monitoring techniques to help prevent injuries and plan better player management. This review searched three databases, Web of Science, IEEE, and PubMed, for peer-reviewed articles on on-field data monitoring techniques that are aimed at improving the health and well-being of team-sports athletes. It was found that most on-field data monitoring methods can be categorized as either player workload tracking or physical impact monitoring. Many studies covered during this review attempted to establish correlations between captured physical and physiological data, as well as injury risk. In these studies, workloads are frequently tracked to optimize training and prevent overtraining in addition to overuse injuries, while impacts are most often tracked to detect and investigate traumatic injuries. This review found that current sports monitoring practices often suffer from a lack of standard metrics and definitions. Furthermore, existing data-analysis models are created on data that are limited in both size and diversity. These issues need to be addressed to create ecologically valid approaches in the future.

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Heart rate-index estimates aerobic metabolism in professional soccer players

Cited by 12 publications

References 30 publications

An Intensity-dependent Slow Component of HR Interferes with Accurate Exercise Implementation in Postmenopausal Women

An Intensity-dependent Slow Component of HR Interferes with Accurate Exercise Implementation in Postmenopausal Women

In professional football the decline in high‐intensity running activities from first to second half is more pronounced in players with a fast muscle typology

Impact and workload are dominating on-field data monitoring techniques to track health and well-being of team-sports athletes

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