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Body Composition Laboratory, U.S. Department of Agriculture/Agricultural Research Service Childrens Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030
3To whom correspondence should be addressed. E-mail: kellis{at}bcm.tmc.edu
| ABSTRACT |
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KEY WORDS: body composition human noninvasive methods
| INTRODUCTION |
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The classic two-compartment
(2-C)4
model of body composition divides body weight into fat mass and
fat-free mass (FFM). The direct measurement of the bodys fat mass
has never been easy and remains a significant challenge for most body
composition techniques. However, if one can accurately determine the
FFM, then fat mass can be defined as the difference between body weight
(Wt) and FFM. Over the last 50 y, three methods that use the 2-C
model have emerged, and each of these is often used as the reference
method for the evaluation of newer technologies. These methods are
based on measurements of body density by underwater weighing (UWW),
body cell mass by whole-body potassium counting and total body
water (TBW) by isotope dilution (Ellis 2000
).
As more measurement techniques were developed, the basic 2-C model
evolved into multicompartment models of body composition (Fig. 1
). Wang and colleagues (1992
, 1993
, 1995
) collated this
information into a comprehensive description of body composition.
Garrow and Webster (1985
) proposed that five factors
should be considered when defining an ideal method for field studies:
1) initial cost, 2) training of the operator,
3) maintenance and operating costs, 4) precision
and 5) accuracy. To this list, I would add the consideration
that the measured parameter can be translated into a useful biological
meaning.
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Several advanced methods used for in vivo analysis in humans, such as
neutron activation or gamma resonance absorption, will not be presented
here because they do not lend themselves easily to field use
(Chettle and Fremlin 1984
, Ellis 2000
,
Vartsky et al. 2000
). Likewise, a discussion of
whole-body potassium counting is being excluded, although such
instruments have been built and successfully used in field studies. The
focus of this article is to examine those methods that are most likely
to be used in the field for assessing body composition in
large-scale epidemiological, clinical or anthropological studies.
In each of these cases, weight and stature are typically recorded and
compared with reference standards. If a subjects values are in the
extreme range (for example, below the third to fifth percentiles or
above the 95th97th percentiles), then a more
precise body composition assay probably is not needed for screening
purposes. However, for longitudinal or intervention studies, more
accurate and precise body composition measures should be considered.
Body composition assays are more helpful in identifying subjects before
they have reached these extremes. That is, an alternate field concept
for the use of body composition methods is screening for less severe
conditions so that early interventions can be started.
| Anthropometry |
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BMI is an attractive anthropometric index because it meets the first
four requirements for an ideal method (Garrow and Webster 1985
). The two instruments (scale and tape measure) that are
required are inexpensive, require minimal training to use and are
virtually maintenance-free, and repeat values can be obtained with
good precision. The remaining question is the accuracy of BMI in
assessing body fatness for the individual (Gallagher et al. 1996
), especially for children (Ellis et al. 1999a
). We have examined the relationship between BMI and body
fatness [obtained using dual-energy X-ray absorptiometry (DXA)]
for children; the results for boys are shown in Figure 2
(Ellis et al. 1999a
). Body fatness and BMI were
correlated (r = 0.8; P < 0.001);
however, BMI was not a precise predictor of the degree of fatness. When
BMI was 20 kg/m2, the corresponding fat mass
could range from 5% to 40% of body weight. Conversely, if the fat
mass was 20% of body weight, the BMI value could be anywhere between
15 and 30 kg/m2. When the BMI vs body fatness
(measured by any number of techniques) relation is examined in adults,
similar but not as dramatic disagreement is often reported. One clear
advantage for using BMI in adults, however, is that height remains
virtually constant during adulthood, thus longitudinal examinations
based on BMI reflect mainly changes in fat mass. Although BMI has its
limitations, it remains a simple measure to obtain and is used widely
in large-scale international studies for long follow-up periods
to assess disease risk.
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Alternative, high-technology methods have been developed to replace
the use of the mechanical calipers for the measurement of the
subcutaneous fat layer. Such methods include ultrasound, infrared
interactance and photon backscatter (Conway et al. 1984
,
Moller et al. 1994
, Moller et al. 2000
).
The use of these devices has automated the analysis and reduced the
operator-dependent errors, but there are still limitations
associated with extrapolation to the bodys total fat mass. In
general, there has not been sufficient evaluation of the usefulness of
these devices for the individual (Thomas et al. 1997
).
| Body volume measurements |
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However, two new techniques measuring body volume have been developed
that have the potential to become field methods. One instrument
(Dempster and Aitkens 1995
, McCrory et al. 1995
), based on air-displacement plethysmography (ADP),
consists of two chambers; the subject sits in one chamber, while the
other serves as a reference (Fig. 4
). The volumes of the two chambers are varied slightly and the
difference in air pressure is recorded. The subjects body volume is
calculated using corrections for isothermal properties of the air in
the lungs and near the skins surface. The most obvious advantage is
that the subject does not have to be submerged under water; although
the subject still needs to wear a swimsuit and cap, the measurement
time is only a few minutes. Preliminary studies using ADP have shown
very good agreement with the UWW method in healthy adults and children
(McCrory et al. 1998
, Lockner et al. 2000
).
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15 s. Currently, the precision for
a body volume estimate is
3%, which is too high to be translated
into a meaningful assay for body fatness. The accuracy of the method
remains unknown. However, if the precision could be improved to
1%
and the accuracy to < 5%, this method would be comparable to
UWW. An added advantage of this method is that it may also allow for
the possibility of monitoring changes in the bodys contour, which may
reflect changes in the subcutaneous fat layer. This technology is new
and clearly holds much promise for the future and has the potential to
become a standard for field measurements of body composition.
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| Body water and bioelectrical impedance methods |
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If a small loss in precision and accuracy can be tolerated, then
Fourier transformed infrared analysis, with ultrafiltration of the
fluid sample (Blagojevic et al. 1990
, Aslani and Hansen 2000
), can be used as an alternative analytical
technique in place of the more costly mass spectroscopy approach. In
addition to the cost benefits, the results can be obtained relatively
quickly, typically within a few hours after giving the oral tracer
dose. However, no commercial instrument designed specifically to
measure body water has been marketed.
Several alternative methods for the assay of body water have been
developed based on the electrical properties of tissues. The most
common method, and probably the most practical for field use, is called
bioelectrical impedance analysis (BIA). This technique is based on the
premise that when an electrical current is passed through the body, the
voltage drop between two electrodes is proportional to the bodys
fluid volume in that region of the body. Although measurements can be
performed at any frequency, 50 kHz has become the standard for
commercial instruments. The cost of a bioelectrical impedance
instrument is relatively inexpensive (
1/30 of a mass spectroscopy
instrument), its operation does not require highly trained personnel
and the results (obtained immediately) have good reproducibility. The
accuracy of BIA results and their biological interpretation should be
used with caution (National Institutes of Health 1996
,
Ellis et al. 1999a
, Ellis et al. 1999b
).
The BIA measurement is performed by attaching a pair of electrodes at
the wrist and at the ankle (Fig. 6A
) so that a weak alternating current (800 µAmp) can be
passed through the body. The voltage drop is measured and the
resistance (R) calculated, while the current is kept constant. To
estimate the volume of TBW, three assumptions are used: the whole body
acts like a cylindrical conductor, the conductors length is
proportional to the subjects height and the reactance component of
the voltage signal can be disregarded. Under these conditions, the
impedance index (Ht2/R) is assumed to be
proportional to the volume of TBW. Activities performed within 4 h
before the measurement, such as moderate to vigorous exercise,
consumption of excessive alcohol or excessive sweating, can
substantially alter the reading.
|
), where
= arctangent
(Xc/R). In healthy adults, the phase angle at 50
kHz is typically above 8o; in clinical
conditions, it can be as low as 23o
(Piccoli et al. 1994
As noted above, the actual measurement procedure for the subject is
relatively easy and can be performed within a few minutes. The major
concern with BIA is that the proportion of the current that passes
through cells at 50 kHz is unknown (National Institutes of Health 1996
). To overcome this uncertainty, bioelectrical
impedance spectroscopy (BIS) was developed (Cornish et al. 1993
, Matthie et al. 1998
). The resistance and
reactance values are recorded for a wide frequency range (5 kHz to 1
MHz) and are mathematically fit to a parallel resistance model that is
used to derive estimates for TBW and extracellular water. Although a
BIS instrument (Xitron, San Diego, CA) is slightly costlier than a
single-frequency BIA device, the operating cost, training of the
operator and the portability of the instrument for field use are
virtually the same as those for any single-frequency BIA device. A
weakness of both BIA and BIS is that they are indirect methods and must
be calibrated with a reference assay (Ellis et al. 1999b
). Furthermore, the number of BIA calibration equations
that have been developed is approaching the level observed for the
skinfold method.
Another interesting aspect of the BIA technology is that it is probably
the only body composition technique that has been direct-marketed
to the general public. Two of these devices, as illustrated in Figure 6
, are designed for upper body (B) and lower body
(C) measurements. Although their daily precision is good,
their accuracy for the assessment of an individuals body fatness
remains unclear. There are also issues as to whether a partial body
assessment will be representative of the whole body, independent of
body size proportions.
| Imaging methods |
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| Selection of a field measurement for body composition |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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2 Supported by the U.S. Department of Agriculture,
Agricultural Research Service under Cooperative Agreement 58-6250-6-001
with Baylor College of Medicine. This work is a publication of the U.S.
Department of Agriculture/Agricultural Research Service Childrens
Nutrition Research Center, Department of Pediatrics, Baylor College of
Medicine and Texas Childrens Hospital, Houston, TX. The contents of
this publication do not necessarily reflect the views or policies of
the U.S. Department of Agriculture, and mention of trade names,
commercial products or organizations does not imply endorsement. ![]()
4 Abbreviations used: 2-C, two-compartment; FFM,
fat-free mass; UWW, underwater weighing; TBW, total body water; Wt,
body weight; Ht, height; SF, skinfold thickness; BMI, body mass index;
ADP, air-displacement plethysmography; BIA, bioelectrical impedance
analysis; BIS, bioelectrical impedance spectroscopy; CT, computer
tomography; MRI, magnetic resonance imaging; DXA, dual-energy X-ray
absorptiometry; EIT, electrical impedance tomography. ![]()
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