1364
R. C, STEINKAMP. ef al.
weight’ and observed LBM had correlation coefficients of 0.896 and 0.851 respec.
tively. For the remaining three groups the correlation coefficients, although
eu
significant, were less.
ce
Of the three formulas predictive of total body weight, that of HECHTER (No. 5) for
men provided consistently high correlation coefficients despite the substitution of
ie
Sis
iliac crest circumference for buttock circumference. Brozexk’s formula (No. 4), also
predictive only for men, correlated significantly with total body weight. For com-
parison with Pryor’s formula (No. 6), partial correlations of weight with anthropo-
metric measurements, L, Bi and A, were calculated from our data in accordance
with her procedure. The resultant correlation coefficients were significant for all
groups.
Total body fat prediction by the formula of Moore et al. (No. 7), based on
calculated TBW, provided significant correlation coefficients for all groups but was
—
a
highest for categories II1 and [V. This probably relates to the higher body fat
COMPARISON
WITH
OF
AN
ANTHROPOMETRIC
TOTAL
ory
and observed values as determined for the present study.
Te
Therefore by using appropriate data from this study in predictive formulas from
other studies it appears that only one had as high a correlation between predicted
bgt aiga nn a
technique used in the present study is only +1.7 per cent of total body weight [22].
Oh an
el
roy eo
content of women andreflects the inherent error of determining total body fat from
TBW alone. Siri [22] has calculated the standard error in total fat determination
by this method at +3.6 per cent of total body weight even if there were no error in
TBW measurement. The standard error in total body fat for the TBW-—body density
MEASURE
POTASSIUM
Females, 31-60 years (28): K equiv.= 1176+ 16.93 body weight in kg
Using the appropriate formula for our subjects, the mean K equivalents have
been calculated and correlated with the mean determined K equivalents. The
correlation coefficient for male subjects was 0.647 and for females 0.769.
DISCUSSION
Three possible sources of error in the development of anthropometric equations
to predict body composition are: the population from which the measurements have
been derived, the reproducibility of the anthropometric measurements and the
accuracy of the reference laboratory measurements. This study has taken these
factors into account.
The study group, although not a random sample from a defined population, was
a reasonably representative selection from a large heterogeneous group with a wide
variety of occupations. Subgroups for laboratory study were equally heterogeneous-
ved
—
Males, 31-60 years
(34): K equiv. = 1385 + 26.23 body weight in kg
Females, 16-30 years (59): K equiv. = 1250+ 18.30 body weight in kg
poe
Moore and co-workers [10] on the basis of body weight, sex, and age have
formulated a series of equations to estimate potassium equivalents. The number of
subjects on which each formula was based is given in parentheses. The equations
are:
Males, 16-30 years
(97): Kequiv.= 735+ 38.01 body weight in kg