Mathematics 505D
Data Analysis and
Probability
Summer 2011
Projects
Body Measurements
A researcher (Dr. A.
Garth Fisher) took measurements of 252 people to test the claim that who you can estimate
a personŐs body fat from tables using their age and various skin-fold
measurements obtained by using a caliper. Also there are predictive equations
for body fat using body circumference measurements (e.g. abdominal
circumference) and/or skin-fold measurements. Dr. Fisher has given permission to
freely distribute the data and for its use for non-commercial purposes. The data is given in a separate spreadsheet.
Every measurement other than age, weight and height refers to the circumference
of that body part in centimeters.
The Measure of Body fat
was estimated using accepted methods from other body measurements that are not
included in the table. Here are
questions to consider:
1.
Does this
data show that any single measurement (age, weight, height, neck, chest,
abdomen, hip, thigh, knee, ankle, biceps, forearm, or wrist) is a good
indicator of the percentage of body fat?
2.
Does this
change if you restrict you attention to the people under age 30, or to the
people over age 60?
3.
You might
expect that weight and these circumferences are
connected. For which of these body
parts is there evidence in the data of such a relationship?
4.
You might
also expect that height and these circumferences are
connected. For which of these body
parts is there evidence in the data of such a relationship?
You do not need to
understand all the details of the methods used to gather the data, generating
some of the estimate of body fat to answer these questions. If you are interested in these details, here is Dr.
FisherŐs summary description of the data:
Short
Summary:
Lists
estimates of the percentage of body fat determined by underwater weighing and various
body circumference measurements for 252 men.
A
variety of popular health books suggest that the readers assess their health,
at least in part, by estimating their percentage of body fat. In Bailey (1994),
for instance, the reader can estimate body fat from tables using their age and
various skin-fold measurements obtained by using a caliper. Other texts give
predictive equations for body fat using body circumference measurements (e.g.
abdominal circumference) and/or skin-fold measurements. See, for instance, Behnke and Wilmore (1974), pp. 66-67; Wilmore (1976), p.
247; or Katch and McArdle
(1977), pp. 120-132).
Percentage
of body fat for an individual can be estimated once body density has been
determined. Folks (e.g. Siri (1956)) assume that the
body consists of two components - lean body tissue and fat tissue. Letting
D
= Body Density (gm/cm3)
A
= proportion of lean body tissue
B
= proportion of fat tissue (A+B=1)
a
= density of lean body tissue (gm/cm3)
b
= density of fat tissue (gm/cm3)
We
have D = 1/[(A/a) + (B/b)] solving for B we find B = (1/D)*[ab/(a-b)]
- [b/(a-b)].
Using
the estimates a=1.10 gm/cm3 and b=0.90 gm/cm3 (see Katch and McArdle (1977), p. 111 or Wilmore (1976), p. 123) we come
up with "Siri's equation":
Percentage
of Body Fat (i.e. 100*B) = 495/D - 450.
Volume,
and hence body density, can be accurately measured a variety of ways. The
technique of underwater weighing "computes body volume as the difference
between body weight measured in air and weight measured during water submersion.
In other words, body volume is equal to the loss of weight in water with the
appropriate temperature correction for the water's density" (Katch and McArdle (1977), p.
113). Using this technique,
Body
Density = WA/[(WA-WW)/c.f. - LV]
where WA = Weight in air
(kg) and WW = Weight in water (kg)
c.f.
= Water correction factor (=1 at 39.2 deg F as
one-gram of water occupies exactly one cm3 at this temperature,
=.997 at 76-78 deg F) LV = Residual Lung Volume
(liters) (Katch
and McArdle (1977), p. 115). Other methods of
determining body volume are given in Behnke and
Wilmore (1974), p. 22 ff.
The
variables listed below, from left to right, are:
Density determined from underwater
weighing
Percent body fat from Siri's
(1956) equation
Age (years)
Weight (lbs)
Height (inches)
Neck circumference (cm)
Chest circumference (cm)
Abdomen 2 circumference (cm)
Hip circumference (cm)
Thigh circumference (cm)
Knee circumference (cm)
Ankle circumference (cm)
Biceps (extended) circumference (cm)
Forearm circumference (cm)
Wrist circumference (cm)
These
data are used to produce the predictive equations for lean body weight given in
the abstract "Generalized body composition prediction equation for men
using simple measurement techniques", K.W. Penrose, A.G. Nelson, A.G.
Fisher, FACSM, Human Performance Research Center, Brigham Young University,
Provo, Utah 84602
as listed in _Medicine and Science in Sports and Exercise_, vol. 17, no. 2,
April 1985, p. 189. (The predictive equations were obtained from the first 143
of the 252 cases that are listed below).
The data were generously supplied by Dr. A.
Garth Fisher who gave permission to freely distribute the data and use for
non-commercial purposes.
References:
Bailey,
Covert (1994). _Smart Exercise: Burning Fat, Getting Fit_, Houghton-Mifflin
Co., Boston, pp. 179-186.
Behnke, A.R. and Wilmore, J.H. (1974). _Evaluation and
Regulation of Body Build and Composition_, Prentice-Hall, Englewood Cliffs,
N.J.
Siri,
W.E. (1956), "Gross composition of the body", in _Advances in Biological
and Medical Physics_, vol. IV, edited by J.H. Lawrence and C.A. Tobias,
Academic Press, Inc., New York.
Katch, Frank and McArdle, William (1977). _Nutrition, Weight Control, and Exercise_, Houghton Mifflin Co.,
Boston.
Wilmore,
Jack (1976). _Athletic Training and Physical Fitness: Physiological Principles
of the Conditioning Process_, Allyn and Bacon, Inc.,
Boston.
Roger
W. Johnson
Department
of Mathematics & Computer Science
South
Dakota School of Mines & Technology
501
East St. Joseph Street
Rapid
City, SD 57701
email address: rwjohnso@silver.sdsmt.edu
web
address: http://silver.sdsmt.edu/~rwjohnso