Physiological predictors of performance in cross-country skiing from treadmill tests in male and female subjects

In order to study which parameter that best corresponds to performance during cross‐country skiing, seven male and nine female cross‐country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompen...

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Published inScandinavian journal of medicine & science in sports Vol. 12; no. 6; pp. 347 - 353
Main Authors Larsson, P., Olofsson, P., Jakobsson, E., Burlin, L., Henriksson-Larsén, K.
Format Journal Article
LanguageEnglish
Published Oxford, UK Munksgaard International Publishers 01.12.2002
Blackwell
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Abstract In order to study which parameter that best corresponds to performance during cross‐country skiing, seven male and nine female cross‐country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 (R = 1) and peak oxygen (O2) uptake (VO2peak). Onset of blood lactate accumulation (OBLA, 4 mmol·l−1 blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O2 uptake, VO2 ml·kg−1·min−1, VO2 ml·min−1·kg−2/3 and VO2 l·min−1. Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results (r = (−0.829) − (−0.964); P < 0.05–0.001). In female subjects, the best association with competition results was found for R = 1 (r = (−0.715) − (−0.810); P < 0.05). Concerning VO2 measurements, for male subjects the unit l·min−1 is suggested to be used and for female subjects either the units l·min−1, ml·min−1·kg−2/3, or ml·kg−1·min−1 could be used when predicting performance in cross‐country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross‐country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross‐country skiing.
AbstractList In order to study which parameter that best corresponds to performance during cross-country skiing, seven male and nine female cross-country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 (R = 1) and peak oxygen (O2) uptake (VO2peak). Onset of blood lactate accumulation (OBLA, 4 mmol.l-1 blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O2 uptake, VO2 ml.kg-1.min-1, VO2 ml.min-1.kg-2/3 and VO2 l.min-1. Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results (r = (-0.829) - (-0.964); P < 0.05-0.001). In female subjects, the best association with competition results was found for R = 1 (r = (-0.715) - (-0.810); P < 0.05). Concerning VO2 measurements, for male subjects the unit l.min-1 is suggested to be used and for female subjects either the units l.min-1, ml.min-1.kg-2/3, or ml.kg-1.min-1 could be used when predicting performance in cross-country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross-country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross-country skiing.In order to study which parameter that best corresponds to performance during cross-country skiing, seven male and nine female cross-country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 (R = 1) and peak oxygen (O2) uptake (VO2peak). Onset of blood lactate accumulation (OBLA, 4 mmol.l-1 blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O2 uptake, VO2 ml.kg-1.min-1, VO2 ml.min-1.kg-2/3 and VO2 l.min-1. Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results (r = (-0.829) - (-0.964); P < 0.05-0.001). In female subjects, the best association with competition results was found for R = 1 (r = (-0.715) - (-0.810); P < 0.05). Concerning VO2 measurements, for male subjects the unit l.min-1 is suggested to be used and for female subjects either the units l.min-1, ml.min-1.kg-2/3, or ml.kg-1.min-1 could be used when predicting performance in cross-country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross-country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross-country skiing.
In order to study which parameter that best corresponds to performance during cross-country skiing, seven male and nine female cross-country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 (R = 1) and peak oxygen (O2) uptake (VO2peak). Onset of blood lactate accumulation (OBLA, 4 mmol.l-1 blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O2 uptake, VO2 ml.kg-1.min-1, VO2 ml.min-1.kg-2/3 and VO2 l.min-1. Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results (r = (-0.829) - (-0.964); P < 0.05-0.001). In female subjects, the best association with competition results was found for R = 1 (r = (-0.715) - (-0.810); P < 0.05). Concerning VO2 measurements, for male subjects the unit l.min-1 is suggested to be used and for female subjects either the units l.min-1, ml.min-1.kg-2/3, or ml.kg-1.min-1 could be used when predicting performance in cross-country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross-country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross-country skiing.
In order to study which parameter that best corresponds to performance during cross-country skiing, seven male and nine female cross-country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 (R = 1) and peak oxygen (O sub(2)) uptake (VO sub(2peak)). Onset of blood lactate accumulation (OBLA, 4 mmol times l super(-1) blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O sub(2) uptake, VO sub(2) ml times kg super(-1) times min super(-1), VO sub(2) ml times min super(-1) times kg super(-2/3) and VO sub(2) l times min super(-1). Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results (r = (-0.829) - (-0.964); P < 0.05-0.001). In female subjects, the best association with competition results was found for R = 1 (r = (-0.715) - (-0.810); P < 0.05). Concerning VO sub(2) measurements, for male subjects the unit l times min super(-1) is suggested to be used and for female subjects either the units l times min super(-1), ml times min super(-1) times kg super(-2/3), or ml times kg super(-1) times min super(-1) could be used when predicting performance in cross-country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross-country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross-country skiing.
In order to study which parameter that best corresponds to performance during cross‐country skiing, seven male and nine female cross‐country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 (R = 1) and peak oxygen (O2) uptake (VO2peak). Onset of blood lactate accumulation (OBLA, 4 mmol·l−1 blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O2 uptake, VO2 ml·kg−1·min−1, VO2 ml·min−1·kg−2/3 and VO2 l·min−1. Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results (r = (−0.829) − (−0.964); P < 0.05–0.001). In female subjects, the best association with competition results was found for R = 1 (r = (−0.715) − (−0.810); P < 0.05). Concerning VO2 measurements, for male subjects the unit l·min−1 is suggested to be used and for female subjects either the units l·min−1, ml·min−1·kg−2/3, or ml·kg−1·min−1 could be used when predicting performance in cross‐country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross‐country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross‐country skiing.
In order to study which parameter that best corresponds to performance during cross-country skiing, seven male and nine female cross-country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 (R = 1) and peak oxygen (O2) uptake (VO2peak). Onset of blood lactate accumulation (OBLA, 4 mmol.l-1 blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O2 uptake, VO2 ml.kg-1.min-1, VO2 ml.min-1.kg-2/3 and VO2 l.min-1. Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results (r = (-0.829) - (-0.964); P &lt; 0.05-0.001). In female subjects, the best association with competition results was found for R = 1 (r = (-0.715) - (-0.810); P &lt; 0.05). Concerning VO2 measurements, for male subjects the unit l.min-1 is suggested to be used and for female subjects either the units l.min-1, ml.min-1.kg-2/3, or ml.kg-1.min-1 could be used when predicting performance in cross-country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross-country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross-country skiing.
In order to study which parameter that best corresponds to performance during cross‐country skiing, seven male and nine female cross‐country skiers were tested with treadmill tests. Parameters measured or computed by metabolic gas measurements were the anaerobic threshold (AT), threshold of decompensated metabolic acidosis (TDMA), the exercise intensity where the Respiratory exchange ratio reaches 1.0 ( R  = 1) and peak oxygen (O 2 ) uptake (VO 2peak ). Onset of blood lactate accumulation (OBLA, 4 mmol·l −1 blood lactate) was also measured. The various parameters were measured in percentage of maximal heart rate, percentage of peak O 2 uptake, VO 2  ml·kg −1 ·min −1 , VO 2  ml·min −1 ·kg −2/3 and VO 2  l·min −1 . Results from four large competitions were also collected to rank the subjects. With correlation analysis, it was revealed that in male subjects a high OBLA was associated with good ranking results ( r  = (−0.829) − (−0.964); P  < 0.05–0.001). In female subjects, the best association with competition results was found for R  = 1 ( r  = (−0.715) − (−0.810); P  < 0.05). Concerning VO 2 measurements, for male subjects the unit l·min −1 is suggested to be used and for female subjects either the units l·min −1 , ml·min −1 ·kg −2/3 , or ml·kg −1 ·min −1 could be used when predicting performance in cross‐country skiing. In conclusion, treadmill tests can be used for the prediction of performance in cross‐country skiing. Further, various parameters from treadmill tests in men and women are best used as predictors of performance in cross‐country skiing .
Author Jakobsson, E.
Burlin, L.
Larsson, P.
Henriksson-Larsén, K.
Olofsson, P.
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  surname: Jakobsson
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  surname: Burlin
  fullname: Burlin, L.
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  surname: Henriksson-Larsén
  fullname: Henriksson-Larsén, K.
  organization: Department of Surgical and Perioperative Science, Sports Medicine
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Issue 6
Keywords Human
Treadmill exercise
Physical exercise
Biochemical analysis
Healthy subject
Physical performance
Crosscountry skiing
Sex
Oxygen consumption
Exploration
Athlete
Blood
Sports medicine
Lactates
Lung function
Adult
Physiology
Predictive factor
Metabolic acidosis
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PublicationTitle Scandinavian journal of medicine & science in sports
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Blackwell
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Borg G. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med 1970: 2: 92 - 98.
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Ready AE, Huber HR. Physiologic response of nordic ski racers to three modes of sport specific exercise. Can J Sport Sci 1990: 15: 213 - 217.
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Gerdle B, Wretling ML, Henriksson-Larsén K. Do the fibre-type proportion and the angular velocity influence the mean power frequency of the electromyogram? Acta Physiol Scand 1988: 134: 341 - 346.
Staib JL, Joohee I, Caldwell Z, Rundell KW. Cross-country ski racing performance predicted by aerobic and anaerobic double poling power. J Strength Conditioning Res 2000: 14: 282 - 288.
Wisløff U, Helgerud J. Methods for evaluating peak oxygen uptake and anaerobic threshold in upper body of cross-country skiers. Med Sci Sports Exerc 1998b: (30): 963 - 970.
Bergh U. The influence of body mass in cross-country skiing. Med Sci Sports Exerc 1987: 19: 324 - 331.
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Ingjer F. Maximal oxygen uptake as a predictor of performance ability in women and men elite cross-country skiers. Scand J Med Sci Sports 1991: 1: 25 - 30.
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References_xml – reference: Doyon KH, Perry S, Abe D, Hughson RL. Field testing of VO2 peak in cross-country skiers with portable breath-by-breath system. Can J Appl Physiol 2001: 26: 1 - 11.
– reference: Von Keul JML, Dickhuth H-H, Berg A. Vergleiche von herzvolume n, nomographisch ermittelter sauerstoffaufnahme und wettkampfleistung bei ausdauersportarten. Deutsche Z Sportmedicin 1980: 5: 148 - 154.
– reference: Staib JL, Joohee I, Caldwell Z, Rundell KW. Cross-country ski racing performance predicted by aerobic and anaerobic double poling power. J Strength Conditioning Res 2000: 14: 282 - 288.
– reference: Wisløff U, Helgerud J. Evaluation of a new upper-body ergometer for cross-country skiers. Med Sci Sports Exerc 1998a: (30): 1314 - 1320.
– reference: Bergh U. The influence of body mass in cross-country skiing. Med Sci Sports Exerc 1987: 19: 324 - 331.
– reference: Eisenman PA, Johnson SC, Bainbridge CN, Zupan MF. Applied physiology of cross-country skiing. Sports Med 1989: 8: 67 - 79.
– reference: Bilodeau B, Roy B, Boulay MR. Upper-body testing of cross-country skiers. Med Sci Sports Exerc 1995: 27: 1557 - 1562.
– reference: Haug RC, Porcari JP, Brice G, Terry L. Development of a maximal testing protocol for the NordicTrack cross-country ski simulator. Med Sci Sports Exerc 1999: 31: 619 - 623.
– reference: Ready AE, Huber HR. Physiologic response of nordic ski racers to three modes of sport specific exercise. Can J Sport Sci 1990: 15: 213 - 217.
– reference: Tarnopolsky LJ, MacDougall JD, Atkinson SA, Tarnopolsky MA, Sutton JR. Gender differences in substrate for endurance exercise. J Appl Physiol 1990: 68: 302 - 308.
– reference: Ng AV, Demment RB, Bassett DR, et al. Characteristics and performance of male citizen cross-country ski racers. Int J Sports Med 1988: 9: 205 - 209.
– reference: Borg G. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med 1970: 2: 92 - 98.
– reference: Wisløff U, Helgerud J. Methods for evaluating peak oxygen uptake and anaerobic threshold in upper body of cross-country skiers. Med Sci Sports Exerc 1998b: (30): 963 - 970.
– reference: Niinimaa V, Dyon M, Shephard RJ. Performance and efficiency of intercollegiate cross-country skiers. Med Sci Sports 1978: 10: 91 - 93.
– reference: Sjödin B, Jacobs I. Onset of blood lactate accumulation and marathon running performance. Int J Sports Med 1981: 2: 23 - 26.
– reference: Bassett DR Jr, Howley ET. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med Sci Sports Exerc 2000: 32: 70 - 84.
– reference: Dawson-Saunders B, Trapp RG. Basic and Clinical Biostatistics, 2nd edn. Norwalk, Connecticut: Appleton & Lange, 1994.
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– reference: Parton JF, Kraemer WJ, Knuttgen HG, Harman EA. Factors in maximal power production and in exercise endurance relative to maximal power. Eur J Appl Physiol 1990: 60: 222 - 227.
– reference: Rundell KW. Treadmill roller ski test predicts biathlon roller ski race results of elite US biathlon women. Med Sci Sports Exerc 1995: 27: 1677 - 1685.
– reference: Millerhagen JO, Kelly JM, Murphy RJ. A study of combined arm and leg exercise with application to nordic skiing. Can J Appl Sport Sci 1983: 8: 92 - 97.
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– reference: Reinhard U, Müller PH, Schmülling RM. Determination of anaerobic threshold by the ventilation equivalent in normal individuals. Respiration 1979: 38: 36 - 42.
– reference: Kenney WL, Hodgson JL. Variables predictive of performance in elite middle-distance runners. Br J Sports Med 1985: 19: 207 - 209.
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– reference: Baumgartl P. Treadmill ergometry and heart-volumes in elite biathletes: a longitudinal study. Int J Sports Med 1990: 11: 223 - 227.
– reference: Gerdle B, Wretling ML, Henriksson-Larsén K. Do the fibre-type proportion and the angular velocity influence the mean power frequency of the electromyogram? Acta Physiol Scand 1988: 134: 341 - 346.
– reference: Mygind E, Larsson B, Klausen T. Evaluation of a specific test in cross-country skiing. J Sports Sci 1991: 9: 249 - 257.
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Snippet In order to study which parameter that best corresponds to performance during cross‐country skiing, seven male and nine female cross‐country skiers were tested...
In order to study which parameter that best corresponds to performance during cross-country skiing, seven male and nine female cross-country skiers were tested...
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StartPage 347
SubjectTerms Acidosis - physiopathology
Adolescent
anaerobic threshold
Anaerobic Threshold - physiology
Biological and medical sciences
Body composition
Cardiac Output - physiology
cross-country skiing
Energy Metabolism
exercise test
Exercise Test - methods
Female
Fundamental and applied biological sciences. Psychology
gender
Heart Rate - physiology
Humans
Lactic Acid - blood
Male
MEDICIN
MEDICINE
muscle strength
OBLA
Oxygen Consumption - physiology
Physical Endurance - physiology
physiological testing
physiological testing; ranking
Predictive Value of Tests
Pulmonary Gas Exchange - physiology
ranking
Sex Factors
Skiing - physiology
Statistics as Topic - methods
Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports
Title Physiological predictors of performance in cross-country skiing from treadmill tests in male and female subjects
URI https://api.istex.fr/ark:/67375/WNG-JTNLDV8V-D/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1034%2Fj.1600-0838.2002.01161.x
https://www.ncbi.nlm.nih.gov/pubmed/12453161
https://www.proquest.com/docview/18804038
https://www.proquest.com/docview/72728231
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33470
Volume 12
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