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O2 peak: effects of
model choice and body composition
1 School of Social Sciences, University of Teesside, Middlesbrough, TS1 3BA, United Kingdom; 2 Department of Health and Sport Science, University of Dayton, Dayton, Ohio 45469-1210; 3 Department of Exercise and Sport Science, East Carolina University, Greenville, North Carolina 27858; and 4 Department of Health and Human Performance, University of Houston, Houston, Texas 77204-5331
This study
examined the bivariate relationship between peak oxygen uptake
(
O2 peak; l/min) and
body size in adult men (n = 1,314, age 17-66
yr), using both "simple" and "full" iterative nonlinear allometric models. The simple model was described by
O2 peak = Mb (or
FFMb)
exp(c SR-PA)
exp(a + d age)
(where
M is body mass in kg; FFM is fat-free
mass in kg; SR-PA is self-reported physical activity;
is a
multiplicative error term; and exp indicates natural antilogarithms). The full model was described by
O2 peak = Mb (or
FFMb)
exp(c SR-PA)
exp(a + d age) + e (
), where
e is a permitted Y-intercept term. The
M exponent obtained from simple
allometry was 0.65 [95% confidence interval (CI),
0.59-0.71], suggestive of a curvilinear relationship
constrained to pass through the origin. This "zero
Y-intercept" assumption was
examined via the full allometric model, which revealed an
M exponent of 1.00 (95% CI,
0.7-1.31), together with a positive
Y-intercept term
(e) of 1.13 (95% CI,
0.54-1.73). The FFM exponents were not significantly different
from unity in either the simple or full allometric models. It appears
that the curvilinearity of the simple allometric model (using total
M) is fictitious and is due to the
inappropriate forcing of the regression line through the origin.
Utilizing FFM as the body-size variable revealed a linear relationship
between body size and
O2 peak, irrespective
of model choice. We conclude that the population mass exponent for
O2 peak is close to unity.
allometric scaling; nonlinear regression; log-linear modeling; body size; oxygen uptake
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