Aerobic power and lean mass are indicators of competitive sprint performance among elite female cross-country skiers

The purpose of this study was to establish the optimal allometric models to predict International Ski Federation’s ski-ranking points for sprint competitions (FISsprint) among elite female cross-country skiers based on maximal oxygen uptake ( V˙O2max) and lean mass (LM). Ten elite female cross-country skiers (age: 24.5±2.8 years [mean ± SD]) completed a treadmill roller-skiing test to determine V˙O2max (ie, aerobic power) using the diagonal stride technique, whereas LM (ie, a surrogate indicator of anaerobic capacity) was determined by dual-emission X-ray anthropometry. The subjects’ FISsprint were used as competitive performance measures. Power function modeling was used to predict the skiers’ FISsprint based on V˙O2max, LM, and body mass. The subjects’ test and performance data were as follows: V˙O2max, 4.0±0.3 L min−1; LM, 48.9±4.4 kg; body mass, 64.0±5.2 kg; and FISsprint, 116.4±59.6 points. The following power function models were established for the prediction of FISsprint: 3.91×105⋅V˙O2max−6.00 and 6.95 × 1010 · LM−5.25; these models explained 66% (P=0.0043) and 52% (P=0.019), respectively, of the variance in the FISsprint. Body mass failed to contribute to both models; hence, the models are based on V˙O2max and LM expressed absolutely. The results demonstrate that the physiological variables that reflect aerobic power and anaerobic capacity are important indicators of competitive sprint performance among elite female skiers. To accurately indicate performance capability among elite female skiers, the presented power function models should be used. Skiers whose V˙O2max differs by 1% will differ in their FISsprint by 5.8%, whereas the corresponding 1% difference in LM is related to an FISsprint difference of 5.1%, where both differences are in favor of the skier with higher V˙O2max or LM. It is recommended that coaches use the absolute expression of these variables to monitor skiers’ performance-related training adaptations linked to changes in aerobic power and anaerobic capacity.

[1]  H. Holmberg,et al.  Energy system contributions and determinants of performance in sprint cross‐country skiing , 2017, Scandinavian journal of medicine & science in sports.

[2]  D. Swain The influence of body mass in endurance bicycling. , 1994, Medicine and science in sports and exercise.

[3]  T. Barstow,et al.  Relationship between the curvature constant parameter of the power-duration curve and muscle cross-sectional area of the thigh for cycle ergometry in humans , 2002, European Journal of Applied Physiology.

[4]  H. Holmberg,et al.  Gender differences in endurance performance by elite cross‐country skiers are influenced by the contribution from poling , 2014, Scandinavian journal of medicine & science in sports.

[5]  P. Nikolaidis Weight status and physical fitness in female soccer players: is there an optimal BMI? , 2014, Sport Sciences for Health.

[6]  Jos J. deKoning,et al.  Effect of competitive distance on energy expenditure during simulated competition. , 2004, International journal of sports medicine.

[7]  Tomas Carlsson,et al.  Scaling of upper-body power output to predict time-trial roller skiing performance , 2013, Journal of sports sciences.

[8]  Ellen M. Evans,et al.  Anaerobic capacity and muscle activation during horizontal and uphill running. , 1997, Journal of applied physiology.

[9]  Tomas Carlsson,et al.  Oxygen uptake at different intensities and sub-techniques predicts sprint performance in elite male cross-country skiers , 2014, European Journal of Applied Physiology.

[10]  Y. Fukuba,et al.  The effect of glycogen depletion on the curvature constant parameter of the power-duration curve for cycle ergometry , 2000, Ergonomics.

[11]  Hans-Christer Holmberg,et al.  Aerobic and anaerobic contributions to energy production among junior male and female cross-country skiers during diagonal skiing. , 2014, International journal of sports physiology and performance.

[12]  T. Fukunaga,et al.  Force-velocity relationships and fatiguability of strength and endurance-trained subjects. , 1997, International journal of sports medicine.

[13]  P. Åstrand,et al.  Textbook of Work Physiology , 1970 .

[14]  U. Bergh,et al.  Influence of body mass on cross-country ski racing performance. , 1992, Medicine and science in sports and exercise.

[15]  Y. Fukuba,et al.  The effect of oral creatine supplementation on the curvature constant parameter of the power-duration curve for cycle ergometry in humans. , 1999, The Japanese journal of physiology.

[16]  C. Malm,et al.  Optimal V.O2max-to-mass ratio for predicting 15 km performance among elite male cross-country skiers , 2015, Open access journal of sports medicine.

[17]  U. Bergh,et al.  The influence of body mass in cross-country skiing. , 1987, Medicine and science in sports and exercise.

[18]  Øyvind Sandbakk,et al.  Are Gender Differences in Upper-Body Power Generated by Elite Cross-Country Skiers Augmented by Increasing the Intensity of Exercise? , 2015, PloS one.

[19]  A. Nevill,et al.  Scaling physiological measurements for individuals of different body size , 2004, European Journal of Applied Physiology and Occupational Physiology.

[20]  Thomas Losnegard,et al.  Physiological differences between sprint- and distance-specialized cross-country skiers. , 2014, International journal of sports physiology and performance.

[21]  T. Fukunaga,et al.  Establishing a New Index of Muscle Cross-Sectional Area and its Relationship With Isometric Muscle Strength , 2008, Journal of strength and conditioning research.

[22]  C. Zinner,et al.  Factors that Influence the Performance of Elite Sprint Cross-Country Skiers , 2016, Sports Medicine.

[23]  Heikki Rusko,et al.  Physiology of Cross Country Skiing , 2008 .

[24]  Matej Supej,et al.  Analysis of sprint cross-country skiing using a differential global navigation satellite system , 2010, European Journal of Applied Physiology.

[25]  Thomas Losnegard,et al.  Anaerobic capacity as a determinant of performance in sprint skiing. , 2012, Medicine and science in sports and exercise.

[26]  Gender differences in the physiological responses and kinematic behaviour of elite sprint cross-country skiers , 2011, European Journal of Applied Physiology.

[27]  K. Häkkinen,et al.  Muscle cross-sectional area and voluntary force production characteristics in elite strength- and endurance-trained athletes and sprinters , 2006, European Journal of Applied Physiology and Occupational Physiology.

[28]  H-C Holmberg,et al.  The physiology of world‐class sprint skiers , 2011, Scandinavian journal of medicine & science in sports.

[29]  D. Heil,et al.  Scaling maximal oxygen uptake to predict performance in elite-standard men cross-country skiers , 2013, Journal of sports sciences.

[30]  C. Malm,et al.  Physiological Demands of Competitive Sprint and Distance Performance in Elite Female Cross-Country Skiing , 2016, Journal of strength and conditioning research.

[31]  David C. Poole,et al.  Validity of criteria for establishing maximal O2 uptake during ramp exercise tests , 2008, European Journal of Applied Physiology.

[32]  C. Malm,et al.  Prediction of race performance of elite cross-country skiers by lean mass. , 2014, International journal of sports physiology and performance.

[33]  G. Ziv,et al.  Physical Characteristics and Physiological Attributes of Female Volleyball Players—The Need for Individual Data , 2012, Journal of strength and conditioning research.

[34]  Øyvind Sandbakk,et al.  Analysis of a sprint ski race and associated laboratory determinants of world-class performance , 2010, European Journal of Applied Physiology.

[35]  K. Häkkinen,et al.  Fatigue in a simulated cross-country skiing sprint competition , 2009, Jurnal sport science.