Int J Sports Med 2003; 24(6): 433-440
DOI: 10.1055/s-2003-41180
Training & Testing
© Georg Thieme Verlag Stuttgart · New York

Biological Variation in Variables Associated with Exercise Training

M.  Bagger1 , P.  H.  Petersen2 , P.  K.  Pedersen1
  • 1Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Main Campus: Odense University, Denmark
  • 2Department of Clinical Chemistry, Odense University Hospital, Denmark
Further Information

Publication History



Accepted after revision: October 25, 2002

Publication Date:
07 August 2003 (online)

Abstract

To be able to identify a training induced change in a certain variable, it is necessary to know the background variation. In this study the coefficient of variation (total, between-subjects, within-subjects), the relative sources of variance (between-subjects and within-subjects), and the critical difference (within-subjects) were estimated in four categories of variables (performance and physiological variables, metabolic and hormonal variables, immunological variables, and mood state variables) in 15 moderately trained male runners measured on three different occasions over a period of 7 weeks. In the performance and physiological variables, 78.9 % of the variance was due to variation between subjects and they had the lowest critical difference (11.9 %). In contrast, the metabolic and hormonal variables had the highest critical difference (59.9 %) and 53.4 % of the variance was due to variations within subjects. The immunological and psychological variables had about two thirds of the variance arising from variation between subjects. However, the critical difference for the immunological variables was high (47.4 %), while it was relatively low for the psychological variables (26.8 %). The low critical difference and variation within subjects of the psychological and in particular the performance and physiological variables indicate that they may be beneficial as primary markers of training induced changes.

References

  • 1 Atkinson G, Nevill A M. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine.  Sports Med. 1998;  26 217-238
  • 2 Atkinson G, Nevill A M. Selected issues in the design and analysis of sport performance research.  J Sports Sci. 2001;  19 811-827
  • 3 Bland J M, Altman D G. Statistical methods for assessing agreement between two methods of clinical measurement.  Lancet. 1986;  1 307-310
  • 4 Bliss C I. Statistics in Biology.  In: Subsampling in relation to experimental design. New York; McGraw-Hill Book Company 1967: 348-403
  • 5 Cavanagh P R, Williams K R. The effect of stride length variation on oxygen uptake during distance running.  Med Sci Sports Exerc. 1982;  14 30-35
  • 6 Dill D B, Costill D L. Calculation of percentage changes in volumes of blood, plasma, and red cells in dehydration.  J Appl Physiol. 1974;  37 247-248
  • 7 Fraser C G, Harris E K. Generation and application of data on biological variation in clinical chemistry.  Crit Rev Clin Lab Sci. 1989;  27 409-437
  • 8 Fraser C G, Hyltoft Petersen P, Larsen M L. Setting analytical goals for random analytical error in specific clinical monitoring situations.  Clin Chem. 1990;  36 1625-1628
  • 9 Fry R W, Morton A R, Keast D. Overtraining in athletes. An update.  Sports Med. 1991;  12 32-65
  • 10 Hansen S, Cold S, Petersen P H, Rose C. Estimates of the sources of variation (variance components) of bioelectric impedance and anthropometric measurements in an epidemiological case-control study of breast cancer.  Eur J Clin Nutr. 1997;  51 764-770
  • 11 Harris E K, Yasaka T. On the calculation of a “reference change” for comparing two consecutive measurements.  Clin Chem. 1983;  29 25-30
  • 12 Hopkins W G. Measures of reliability in sports medicine and science.  Sports Med. 2000;  30 1-15
  • 13 Hopkins W G, Schabort E J, Hawley J A. Reliability of power in physical performance tests.  Sports Med. 2001;  31 211-234
  • 14 Howley E T, Bassett D R Jr, Welch H G. Criteria for maximal oxygen uptake: review and commentary.  Med Sci Sports Exerc. 1995;  27 1292-1301
  • 15 Jensen K, Johansen L. Reproducibility and validity of physiological parameters measured in cyclists riding on racing bikes placed on a stationary magnetic brake.  Scand J Med Sci Sports. 1998;  8 1-6
  • 16 McNair D N, Lorr M, Droppleman L F. Profile of Mood States Manual. San Diego; Educational and Industrial Testing Service 1992
  • 17 Morgan D W, Martin P E, Krahenbuhl G S, Baldini F D. Variability in running economy and mechanics among trained male runners.  Med Sci Sports Exerc. 1991;  23 378-383
  • 18 Palmer G S, Dennis S C, Noakes T D, Hawley J A. Assessment of the reproducibility of performance testing on an air-braked cycle ergometer.  Int J Sports Med. 1996;  17 293-298
  • 19 Ricos C, Alvarez V, Cava F, Garcia Lario JV, Hernandez A, Jimenez C V, Minchinela J, Perich C, Simon M. Current databases on biological variation: pros, cons and progress.  Scand J Clin Lab Invest. 1999;  59 491-500
  • 20 Schabort E J, Hawley J A, Hopkins W G, Mujika I, Noakes T D. A new reliable laboratory test of endurance performance for road cyclists.  Med Sci Sports Exerc. 1998;  30 1744-1750
  • 21 Scholander P F. Analyzer for accurate estimation of respiratory gases in one-half cubic centimeter samples.  J Biol Chem. 1947;  167 235-250
  • 22 Sebastian Gambaro M A, Liron Hernandez F J, Fuentes Arderiu X. Intra- and inter-individual biological variability data bank.  Eur J Clin Chem Clin Biochem. 1997;  35 845-852

M. Bagger, M.Sc

Institute of Sports Science and Clinical Biomechanics · University of Southern Denmark · Main Campus: Odense University

Campusvej 55 · 5230 Odense M · Denmark ·

Phone: +45-65503552

Fax: +45-65503480

Email: mbagger@health.sdu.dk

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