caa a22 4500 469054921 CHVBK 20180323132840.0 cr unu---uuuuu 170328e19920301xx s 000 0 eng 10.1007/BF00705066 doi (NATIONALLICENCE)springer-10.1007/BF00705066 Scaling physiological measurements for individuals of different body size [Elektronische Daten] [Alan Nevill, Roger Ramsbottom, Clyde Williams] Summary: This paper examines how selected physiological performance variables, such as maximal oxygen uptake, strength and power, might best be scaled for subject differences in body size. The apparent dilemma between using either ratio standards or a linear adjustment method to scale was investigated by considering how maximal oxygen uptake (1·min−1), peak and mean power output (W) might best be adjusted for differences in body mass (kg). A curvilinear power function model was shown to be theoretically, physiologically and empirically superior to the linear models. Based on the fitted power functions, the best method of scaling maximum oxygen uptake, peak and mean power output, required these variables to be divided by body mass, recorded in the units kg2/3. Hence, the power function ratio standards (ml·kg−2/3·min−1) and (W·kg−2/3) were best able to describe a wide range of subjects in terms of their physiological capacity, i.e. their ability to utilise oxygen or record power maximally, independent of body size. The simple ratio standards (ml·kg−1·min−1) and (W·kg−1) were found to best describe the same subjects according to their performance capacities or ability to run which are highly dependent on body size. The appropriate model to explain the experimental design effects on such ratio standards was shown to be log-normal rather than normal. Simply by taking logarithms of the power function ratio standard, identical solutions for the design effects are obtained using either ANOVA or, by taking the unscaled physiological variable as the dependent variable and the body size variable as the covariate, ANCOVA methods. Springer-Verlag, 1992 Ratio standards nationallicence Physiological capacity nationallicence Performance capacity nationallicence Experimental design effects nationallicence Log-linear models nationallicence Nevill Alan School of Sport and Exercise Sciences, University of Birmingham, Birmingham, England aut Ramsbottom Roger Department of Sports Studies, Roehampton Institute, London, England aut Williams Clyde Department of Physical Education and Sports Science, University of Technology, Loughborough, England aut European Journal of Applied Physiology and Occupational Physiology Springer-Verlag 65/2(1992-03-01), 110-117 0301-5548 65:2<110 1992 65 421 https://doi.org/10.1007/BF00705066 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00705066 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nevill Alan School of Sport and Exercise Sciences, University of Birmingham, Birmingham, England aut NATIONALLICENCE 700 1- Ramsbottom Roger Department of Sports Studies, Roehampton Institute, London, England aut NATIONALLICENCE 700 1- Williams Clyde Department of Physical Education and Sports Science, University of Technology, Loughborough, England aut NATIONALLICENCE 773 0- European Journal of Applied Physiology and Occupational Physiology Springer-Verlag 65/2(1992-03-01), 110-117 0301-5548 65:2<110 1992 65 421 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer