Relative VS.ABSOLUTE Physiological Measures as Predictors of Mountain Bike Cross-Country Race Performance

Gregory, John R.; Johns, DP; Walls, JT

doi:10.1519/00124278-200702000-00004

Cited by 59 publications

(45 citation statements)

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“…6 CP and W' can be reliably determined by plotting a curve from best power-for-time results, 10 and has been shown to equate to laboratory estimates like the 3 min all out test used in this study. 25 Succinctly, we would expect the given results to be similar to those collected from field measures of the same tests, but this needs confirming. The participants in this study were nationally competitive (USA Cycling registered) XCO-MTB athletes and as such had lower mean VO 2max (63.8±7.0 versus 78.3±4.4 ml•kg -1 •min -1 ) in addition to greater body mass (74.5±9.5 versus 65.3±6.5 kg) compared to internationally competitive XCO-MTB athletes, respectively.…”

Section: Limitationsmentioning

confidence: 72%

“…16 While this could be viewed as a limitation of the present investigation, similar correlates to performance have been observed among elite and amateur XCO-MTB athletes. 25 As such we are confident the results are transferable to a range of abilities, but this needs confirming. Further, results of this study should be corroborated among a more homogenous group of athletes.…”

Section: Limitationsmentioning

confidence: 78%

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Predictive Validity of Critical Power, The Onset of Blood Lactate and Anaerobic Capacity for Cross-Country Mountain Bike Race Performance

Miller

Macdermid²

2015

Sport Exerc Med Open J

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CitationMiller MC, Macdermid PW. Predictive validity of critical power, the onset of blood lactate and anaerobic capacity for cross-country mountain bike race performance. Case ReportPage 105 ABSTRACTCritical power is emerging as an important indicator of high intensity endurance exercise capability. Little is known regarding its ability to predict performance during high intensity intermittent events such as Olympic format cross country mountain bike racing. Therefore, the purpose of this pilot study was to assess the validity of critical power and anaerobic capacity compared to the more traditional measure of power at physiological thresholds previously related to race performance. Five nationally competitive athletes (mean±s: age:31.4±9.3 years; mass: 70.8±9.5 kg; VO 2max : 63.8±7.0 ml•kg -1 •min) volunteered for this study. Participants completed a cycle ergometry step test to exhaustion in order to determine the anaerobic threshold. On a separate occasion participants completed a 3-minute all-out test against a fixed resistance to determine critical power and anaerobic capacity. Laboratory data showed no differences (P=0.057) between the power output at the onset of blood lactate or critical power and neither related to anaerobic capacity (p=0.499 and p=0.344, respectively). Performance was measured via race data analysis gathered from a USA Cycling sanctioned race. Linear regression was used to assess the prediction of performance. Critical power predicts Olympic format cross country mountain bike performance (r 2 =0.943, p=0.006) to a greater degree of accuracy than anaerobic threshold (r 2 =0.785, p=0.046) or anaerobic capacity (r 2 =0.477, p=0.197) with less error (39.413; 76.526; 118.9 s, respectively). Therefore, the ability to sustain a high intensity effort for the race duration, determined via critical power rather than the onset of blood lactate, is likely more valuable to cross country mountain bike athletes than anaerobic capacity.

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Section: Limitationsmentioning

confidence: 72%

Section: Limitationsmentioning

confidence: 78%

Predictive Validity of Critical Power, The Onset of Blood Lactate and Anaerobic Capacity for Cross-Country Mountain Bike Race Performance

Miller

Macdermid²

2015

Sport Exerc Med Open J

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“…Balmer et al 28 observaram significativa correlação entre W máx e a potência média mantida em um contra relógio de 16,1 km (r = 0,99, p < 0,001). Resultados semelhantes com atletas de mountain bike foram demonstrados por Gregory et al 29 e Inoue et al 2 . Até onde pudemos identificar, apenas um estudo foi encontrado explorando o potencial das estimativas do VO 2máx na predição do desempenho atlético em corredores.…”

Section: Discussionunclassified

Validade preditiva da medida e estimativas do VO2máx no desempenho de Mountain Bikers

Mainardi

Inoue

Pompeu

et al. 2015

Rev Bras Med Esporte

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INTRODUÇÃO: considerando o racional para a utilização das equações preditivas na estimativa do VO2máxem atletas, nenhum estudo estabeleceu sua validade para o desempenho no mountain bike cross-country(XCO).OBJETIVO: comparar diferentes estratégias de determinação do VO2máx, de forma direta ou indireta, para a predição do desempenho em uma prova real e outra simulada.MÉTODOS: 20 atletas de XCO do sexo masculino (31,6 ± 6,8 anos; 68,1 ± 6,5 kg; 175,5 ± 5,7cm; 64,9 ± 4,4 mL. kg-1.min-1), foram submetidos a três sessões experimentais. A primeira visita consistiu na estratificação de risco, avaliação antropométrica e teste progressivo máximo. Na segunda, foi realizada a prova simulada e, na terceira, foi realizada a competição de XCO.RESULTADOS: a correlação entre a prova simulada e as equações preditivas do VO2máx de forma absoluta alcançaram relação quase perfeita (r ≥ 0,9). As correlações entre a competição real e as estimativas de VO2máx relativizadas à massa corporal alcançaram resultados classificados como muito altos (r = 0,7-0,89). As associações entre a medida direta do VO2máx e a simulação apresentaram uma classificação baixa para valores relativos à massa corporal (r = 0,10, IC95%-0,35 a 0,51). Para o desempenho real, a classificação foi moderada (r = 0,48, IC95% 0,009 a 0,78).CONCLUSÃO: o presente estudo foi o primeiro a demonstrar a validade preditiva das estimativas do VO2máx para o desempenho simulado e real de MTB. Em complemento, confirmou a baixa validade preditiva da medida direta do VO2máx para o mesmo propósito.

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“…The relationship of the physical characteristics of body mass (Gregory, et al, 2007;Hagan, et al, 1981;Kenney, & Hodgson, 1985;McLean & Parker, 1989;Swain, 1994), body fat (Hoffman, et al, 2010a;Knechtle, et al, 2010g) and skin-fold thicknesses (Arrese, & Ostáriz, 2006;Bale, et al, 1986;Knechtle, et al, 2009c;Knechtle, & Rosemann, 2009a with endurance performance has mainly been investigated in runners, cyclists and triathletes. The finding that body fat was significantly correlated to ultra-endurance performances in these athletes confirmed recent findings of Hoffman, et al (2010a) who described a significant positive correlation between percent body fat and finish time for male ultra-marathoners in a 161-km trail ultra-marathon.…”

Section: Anthropometry and Its Association With Training And Race Timementioning

confidence: 99%

“…Body mass was related to performance in runners (Hagan, Smith, & Gettman, 1981;Kenney & Hodgson, 1985;Knechtle, Duff, Welzel, & Kohler, 2009a), road (Swain, 1994) and off-road cyclists (Gregory, Johns, & Walls, 2007;Impellizzeri, Rampinini, Sassi, Mognoni, & Marcora, 2005), for whom with lower body mass had an advantage in climbing. Body height was significantly associated with performance in swimming (Geladas, Nassis, & Pavlicevic, 2005; Baumann, Knechtle, & Rosemann, 2010a;Siders, Lukaski, & Bolonchuk, 1993;Zampagni, Casino, Benelli, Visani, Marcacci, & De Vito, 2008) and inline skating .…”

mentioning

confidence: 99%

Age, Training, and Previous Experience Predict Race Performance in Long-Distance Inline Skaters, Not Anthropometry

Knechtle

Rüst

et al. 2012

Percept Mot Skills

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The association of characteristics of anthropometry, training, and previous experience with race time in 84 recreational, long-distance, inline skaters at the longest inline marathon in Europe (111 km), the Inline One-eleven in Switzerland, was investigated to identify predictor variables for performance. Age, duration per training unit, and personal best time were the only three variables related to race time in a multiple regression, while none of the 16 anthropometric variables were related. Anthropometric characteristics seem to be of no importance for a fast race time in a long-distance inline skating race in contrast to training volume and previous experience, when controlled with covariates. Improving performance in a long-distance inline skating race might be related to a high training volume and previous race experience. Also, doing such a race requires a parallel psychological effort, mental stamina, focus, and persistence. This may be reflected in the preparation and training for the event.

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Relative VS.ABSOLUTE Physiological Measures as Predictors of Mountain Bike Cross-Country Race Performance

Cited by 59 publications

References 0 publications

Predictive Validity of Critical Power, The Onset of Blood Lactate and Anaerobic Capacity for Cross-Country Mountain Bike Race Performance

Predictive Validity of Critical Power, The Onset of Blood Lactate and Anaerobic Capacity for Cross-Country Mountain Bike Race Performance

Validade preditiva da medida e estimativas do VO2máx no desempenho de Mountain Bikers

Age, Training, and Previous Experience Predict Race Performance in Long-Distance Inline Skaters, Not Anthropometry

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