Literature DB >> 16195038

Combined metabolic gas analyser and dGPS analysis of performance in cross-country skiing.

Peter Larsson1, Karin Henriksson-Larsén.   

Abstract

The purpose of this study was to provide a more detailed analysis of performance in cross-country skiing by combining findings from a differential global positioning system (dGPS), metabolic gas measurements, speed in different sections of a ski-course and treadmill threshold data. Ten male skiers participated in a freestyle skiing field test (5.6 km), which was performed with dGPS and metabolic gas measurements. A treadmill running threshold test was also performed and the following parameters were derived: anaerobic threshold, threshold of decompensated metabolic acidosis, respiratory exchange ratio = 1, onset of blood lactate accumulation and peak oxygen uptake (VO2peak). The combined dGPS and metabolic gas measurements made detailed analysis of performance possible. The strongest correlations between the treadmill data and final skiing field test time were for VO2peak (l x min(-1)), respiratory exchange ratio = 1 (l x min(-1)) and onset of blood lactate accumulation (l x min(-1)) (r = -0.644 to - 0.750). However, all treadmill test data displayed stronger associations with speed in different stretches of the course than with final time, which stresses the value of a detailed analysis of performance in cross-country skiing. Mean oxygen uptake (VO2) in a particular stretch in relation to speed in the same stretch displayed its strongest correlation coefficients in most stretches when VO2 was presented in units litres per minute, rather than when VO2 was normalized to body mass (ml x kg(-1) x min(-1) and ml x min(-1) x kg(-2/3)). This suggests that heavy cross-country skiers have an advantage over their lighter counterparts. In one steep uphill stretch, however, VO2 (ml x min(-1) x kg(-2/3)) displayed the strongest association with speed, suggesting that in steep uphill sections light skiers could have an advantage over heavier skiers.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16195038     DOI: 10.1080/02640410400022078

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  12 in total

1.  Oxygen uptake at different intensities and sub-techniques predicts sprint performance in elite male cross-country skiers.

Authors:  Magnus Carlsson; Tomas Carlsson; Magnus Knutsson; Christer Malm; Michail Tonkonogi
Journal:  Eur J Appl Physiol       Date:  2014-08-20       Impact factor: 3.078

2.  Global positioning system: a new opportunity in physical activity measurement.

Authors:  Ralph Maddison; Cliona Ni Mhurchu
Journal:  Int J Behav Nutr Phys Act       Date:  2009-11-04       Impact factor: 6.457

3.  The effects of prior high intensity double poling on subsequent diagonal stride skiing characteristics.

Authors:  Glenn Björklund; Hans-Christer Holmberg; Thomas Stöggl
Journal:  Springerplus       Date:  2015-02-01

4.  Optimal [Formula: see text] ratio for predicting 15 km performance among elite male cross-country skiers.

Authors:  Tomas Carlsson; Magnus Carlsson; Daniel Hammarström; Bent R Rønnestad; Christer B Malm; Michail Tonkonogi
Journal:  Open Access J Sports Med       Date:  2015-12-16

5.  The effect of different Global Navigation Satellite System methods on positioning accuracy in elite alpine skiing.

Authors:  Matthias Gilgien; Jörg Spörri; Philippe Limpach; Alain Geiger; Erich Müller
Journal:  Sensors (Basel)       Date:  2014-10-03       Impact factor: 3.576

6.  Recovery after aerobic exercise is manipulated by tempo change in a rhythmic sound pattern, as indicated by autonomic reaction on heart functioning.

Authors:  John Wallert; Guy Madison
Journal:  Front Hum Neurosci       Date:  2014-09-19       Impact factor: 3.169

Review 7.  Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review.

Authors:  Adam Loveday; Lauren B Sherar; James P Sanders; Paul W Sanderson; Dale W Esliger
Journal:  J Med Internet Res       Date:  2015-08-05       Impact factor: 5.428

8.  The influence of sex, age, and race experience on pacing profiles during the 90 km Vasaloppet ski race.

Authors:  Magnus Carlsson; Hannes Assarsson; Tomas Carlsson
Journal:  Open Access J Sports Med       Date:  2016-02-18

Review 9.  Wearable Performance Devices in Sports Medicine.

Authors:  Ryan T Li; Scott R Kling; Michael J Salata; Sean A Cupp; Joseph Sheehan; James E Voos
Journal:  Sports Health       Date:  2015-11-11       Impact factor: 3.843

10.  Exercise Intensity During Cross-Country Skiing Described by Oxygen Demands in Flat and Uphill Terrain.

Authors:  Øyvind Karlsson; Matthias Gilgien; Øyvind N Gløersen; Bjarne Rud; Thomas Losnegard
Journal:  Front Physiol       Date:  2018-07-09       Impact factor: 4.566

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.