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Shushan T, Lovell R, McLaren SJ, Buchheit M, Dello Iacono A, Arguedas-Soley A, Norris D. Assessing criterion and longitudinal validity of submaximal heart rate indices as measures of cardiorespiratory fitness: A preliminary study in football. J Sci Med Sport 2024; 27:565-571. [PMID: 38702215 DOI: 10.1016/j.jsams.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES To evaluate the criterion and longitudinal validity of field- and laboratory-derived heart rate (HR) indices of resting and submaximal fitness tests (SMFTs) as measures of cardiorespiratory fitness. DESIGN Observational, repeated measures. METHODS Twenty-nine semi-professional footballers participated. Laboratory assessments took place at the start and end of a preseason training period, whereby resting, SMFT HR-derived indices, and criterion measures of cardiorespiratory fitness (running economy [RE], maximal oxygen uptake [V̇O2 max] and aerobic speed [MAS]) were collected. Throughout this training period, two field-based SMFT protocols, prescribed at different intensities, were administered weekly. Individual slopes were calculated from the analysis of within-athlete change scores. Associations between laboratory and field measures were assessed via Pearson's correlation coefficient (r) and linear regression models. RESULTS Relationships between SMFT HR-derived indices from laboratory and field were very-large for exercise HR (r = 0.74 to 0.87) and moderate to very-large for HR recovery (0.43 to 0.76). Moderate to very-large inverse relationships were observed between exercise HR and HR recovery with V̇O2 max and MAS (-0.41 to -0.78), whereas resting HR showed no substantial relationships. Changes in exercise HR showed large and very-large inverse correlations with preseason changes in V̇O2 max (-0.54 to -0.60) and MAS (-0.64 to -0.83). Relationships between changes in HR recovery and maximal cardiorespiratory criterion measures were moderate to large (-0.32 to -0.63). CONCLUSION SMFT exercise HR is a valid proxy measure of cardiorespiratory fitness irrespective of test setting, whereas the validity of HRR remains elusive and appears to vary between exercise intensities.
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Affiliation(s)
- Tzlil Shushan
- Faculty of Science, Medicine and Health, University of Wollongong, Australia; School of Health Sciences, Western Sydney University, Australia. https://twitter.com/shushan_tzlil
| | - Ric Lovell
- Faculty of Science, Medicine and Health, University of Wollongong, Australia. https://twitter.com/ric_lovell
| | - Shaun J McLaren
- Newcastle Falcons Rugby Club, UK; Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, UK. https://twitter.com/Shaun_McLaren1
| | - Martin Buchheit
- HIIT Science, Canada; French National Institute of Sport (INSEP), Laboratory of Sport, Expertise and Performance (EA 7370), France; Kitman Labs, Performance Research Intelligence Initiative, Ireland; Type 3.2 Performance, France. https://twitter.com/mart1buch
| | - Antonio Dello Iacono
- Institute for Clinical Exercise and Health Science, School of Health and Life Sciences, University of the West of Scotland, United Kingdom
| | - Adriano Arguedas-Soley
- School of Health Sciences, Western Sydney University, Australia; High Performance Department, Greater Western Sydney (GWS) Giants Football Club, Australia. https://twitter.com/Adriano_A_Soley
| | - Dean Norris
- School of Health Sciences, Western Sydney University, Australia. https://twitter.com/DNorrisSC
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Thron M, Woll A, Doller L, Quittmann OJ, Härtel S, Ruf L, Altmann S. Physiological and Locomotor Profiling Enables to Differentiate Between Sprinters, 400-m Runners, and Middle-Distance Runners. J Strength Cond Res 2024; 38:1419-1427. [PMID: 38787757 DOI: 10.1519/jsc.0000000000004801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
ABSTRACT Thron, M, Woll, A, Doller, L, Quittmann, OJ, Härtel, S, Ruf, L, and Altmann, S. Physiological and locomotor profiling enables to differentiate between sprinters, 400-m runners, and middle-distance runners. J Strength Cond Res 38(8): 1419-1427, 2024-Different approaches exist for characterizing athletes, e.g., physiological and locomotor profiling. The aims of this study were to generate and compare physiological and locomotor profiles of male and female runners and to evaluate relationships between the different approaches. Thirty-four highly trained adolescent and young adult female and male athletes ( n = 11 sprinters; n = 11,400-m runners; n = 12 middle-distance runners) performed two 100-m sprints on a running track to determine maximal sprinting speed (MSS) and maximal lactate accumulation rate (ċLa max ). A cardiopulmonary exercise test was performed on a treadmill to determine maximal aerobic speed (MAS) and maximal oxygen uptake (V̇ o2 max). Anaerobic speed reserve (ASR) was calculated as the difference between MSS and MAS. Group comparisons were conducted with a 2-way ANOVA (discipline × sex; p < 0.05) and Bonferroni post hoc tests and Cohen's d as effect size. Parameters were correlated by Pearson's correlation coefficients. Maximal aerobic speed and V̇ o2 max were higher in 400-m and middle-distance runners compared with sprinters ( p ≤ 0.02; -2.24 ≤ d ≤ -1.29). Maximal sprinting speed and ċLa max were higher in sprinters and 400-m runners compared with middle-distance runners (0.03 ≤ p ≤ 0.28; 0.73 ≤ d ≤ 1.23). Anaerobic speed reserve was highest in sprinters and lowest in middle-distance runners ( p ≤ 0.03; 1.24 ≤ d ≤ 2.79). High correlations were found between ASR and MAS, MSS, and ċLa max ( p < 0.01; -0.55 ≤ r ≤ 0.91) and between ċLa max and MSS ( p < 0.01; r = 0.74). Our results indicate that athletes of different sprinting and running disciplines show differing physiological and locomotor profiles, and that the parameters of these approaches are related to each other. This can be of interest for assessing strengths and weaknesses (e.g., for talent identification) or training prescription in these disciplines.
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Affiliation(s)
- Maximiliane Thron
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Alexander Woll
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Lukas Doller
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Oliver Jan Quittmann
- Institute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany
| | | | - Ludwig Ruf
- TSG ResearchLab gGmbH, Zuzenhausen, Germany
| | - Stefan Altmann
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
- TSG ResearchLab gGmbH, Zuzenhausen, Germany
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Titheradge P, Robergs R. Evaluating Airflow Sensor Methods: Precision in Indirect Calorimetry. Scand J Med Sci Sports 2024; 34:e14674. [PMID: 38895762 DOI: 10.1111/sms.14674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024]
Abstract
This study assesses the impact of three volumetric gas flow measurement methods-turbine (fT); pneumotachograph (fP), and Venturi (fV)-on predictive accuracy and precision of expired gas analysis indirect calorimetry (EGAIC) across varying exercise intensities. Six males (Age: 38 ± 8 year; Height: 178.8 ± 4.2 cm;V ̇ O 2 peak $$ \dot{V}{\mathrm{O}}_2\mathrm{peak} $$ : 42 ± 2.8 mL O2 kg-1 min-1) and 14 females (Age = 44.6 ± 9.6 year; Height = 164.6 ± 6.9 cm;V ̇ O 2 peak $$ \dot{V}{\mathrm{O}}_2\mathrm{peak} $$ = 45 ± 8.6 mL O2 kg-1 min-1) were recruited. Participants completed physical exertion on a stationary cycle ergometer for simultaneous pulmonary minute ventilation (V ̇ $$ \dot{V} $$ ) measurements and EGAIC computations. Exercise protocols and subsequent conditions involved a 5-min cycling warm-up at 25 W min-1, incremental exercise to exhaustion (V ̇ O 2 $$ \dot{V}{\mathrm{O}}_2 $$ ramp test), then a steady-state exercise bout induced by a constant Watt load equivalent to 80% ventilatory threshold (80% VT). A linear mixed model revealed that exercise intensity significantly affectedV ̇ O 2 $$ \dot{V}{\mathrm{O}}_2 $$ measurements (p < 0.0001), whereas airflow sensor method (p = 0.97) and its interaction with exercise intensity (p = 0.91) did not. Group analysis of precision yielded aV ̇ O 2 $$ \dot{V}{\mathrm{O}}_2 $$ CV % = 21%; SEM = 5 mL O2 kg-1 min-1. Intra- and interindividual analysis of precision via Bland-Altman revealed a 95% confidence interval (CI) precision benchmark of 3-5 mL kg-1 min-1. Agreement among methods decreased at power outputs elicitingV ̇ $$ \dot{V} $$ up to 150 L min-1, indicating a decrease in precision and highlighting potential challenges in interpreting biological variability, training response heterogeneity, and test-retest comparisons. These findings suggest careful consideration of airflow sensor method variance across metabolic cart configurations.
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Affiliation(s)
- Praneel Titheradge
- School of Allied Health, Exercise & Sports Sciences, Charles Sturt University, Port Macquarie, New South Wales, Australia
| | - Robert Robergs
- School of Exercise & Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
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Gravesteijn AS, Timmermans ST, Aarts J, Hulst HE, De Jong BA, Beckerman H, De Groot V. Relative aerobic load of walking in people with multiple sclerosis. J Rehabil Med 2024; 56:jrm13352. [PMID: 38353255 PMCID: PMC10875758 DOI: 10.2340/jrm.v56.13352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 01/11/2024] [Indexed: 02/16/2024] Open
Abstract
OBJECTIVE To examine the energy demand of walking relative to aerobic capacity in people with multiple sclerosis. DESIGN Cross-sectional cohort study. PATIENTS A total of 45 people with multiple sclerosis (32 females), median disease duration 15 years (interquartile range (IQR) 9; 20), median Expanded Disability Status Scale 4 (min-max range: 2.0; 6.0). METHODS Aerobic capacity, derived from a cardiopulmonary exercise test and gas exchange measurements, assessed during a 6-min overground walk test at comfortable speed, were analysed. The relative aerobic load of walking was determined as the energy demand of walking relative to oxygen uptake at peak and at the first ventilatory threshold. Healthy reference data were used for clinical inference. RESULTS People with multiple sclerosis walk at a mean relative aerobic load of 60.0% (standard deviation 12.8%) relative to peak aerobic capacity, and 89.1% (standard deviation 19.9%) relative to the first ventilatory threshold. Fourteen participants walked above the first ventilatory threshold (31%). Peak aerobic capacity was reduced in 45% of participants, and energy demands were increased in 52% of participants. CONCLUSION People with multiple sclerosis walk at a relative aerobic load close to their first ventilatory threshold. A high relative aerobic load can guide clinicians to improve aerobic capacity or reduce the energy demands of walking.
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Affiliation(s)
- Arianne S Gravesteijn
- MS Center Amsterdam, Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Movement Sciences Research Institute, Rehabilitation & Development, Amsterdam, The Netherlands; Amsterdam Neuroscience Research Institute, Neuroinfection & Neuroinflammation, Amsterdam, The Netherlands.
| | - Sjoerd T Timmermans
- MS Center Amsterdam, Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Movement Sciences Research Institute, Rehabilitation & Development, Amsterdam, The Netherlands
| | - Jip Aarts
- MS Center Amsterdam, Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Leiden University, Faculty of Social Sciences, Institute of Psychology, Health, Medical and Neuropsychology unit, Leiden, The Netherlands; Department of Human Movement Sciences, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, The Netherlands
| | - Hanneke E Hulst
- Amsterdam Neuroscience Research Institute, Neuroinfection & Neuroinflammation, Amsterdam, The Netherlands; Leiden University, Faculty of Social Sciences, Institute of Psychology, Health, Medical and Neuropsychology unit, Leiden, The Netherlands; MS Center Amsterdam, Anatomy and Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Brigit A De Jong
- Amsterdam Neuroscience Research Institute, Neuroinfection & Neuroinflammation, Amsterdam, The Netherlands; MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Heleen Beckerman
- MS Center Amsterdam, Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Movement Sciences Research Institute, Rehabilitation & Development, Amsterdam, The Netherlands; Amsterdam Neuroscience Research Institute, Neuroinfection & Neuroinflammation, Amsterdam, The Netherlands
| | - Vincent De Groot
- MS Center Amsterdam, Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Movement Sciences Research Institute, Rehabilitation & Development, Amsterdam, The Netherlands; Amsterdam Neuroscience Research Institute, Neuroinfection & Neuroinflammation, Amsterdam, The Netherlands
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