Cormillot A., Debeza A., Panzica
M.P., Karagenzian O. Clínica Cormillot,
Buenos Aires, Argentina.
8th International Congress on Obesity,
Paris, France. 29August-3Sept. 1998.
There is a tight relationship between
metabolic risk factors (RF) and abdominal
fat distribution. Waist perimeter
()WP) and Sagital Diameter (SD) are
usually taken as a measure of abdominal
fat. In order to discriminate between
subcutaneous and visceral fat, the
latter being more related to RF, expensive
techniques such as tomographies and
ecographies are usually employed.
The aim of our studies was to find
a simple formula to determine visceral
fat and its capacity to predict RF
in the medical office. Several formulas
were tried out and cross-validated
with other anthropometric parameters.
The one presented here is (Sagital
Diameter) / (Transversal Diameter)
x WP = IGIA. The rational for the
formula used here is given by the
fact that, when a person lays down,
visceral fat stays in place, while
subcutaneous fat distributes at sides,
enlarging the transverse diameter.
One hundred and nine subjects, mean
age 39, BMI between 21 and 49 were
tested for Total Cholesterol, HDL-Col,
LDL-Col, Tg, Uric Acid, Fibrinogen,
Insulin, Glucose and Hypertension.
These 9RF were rated according to
the clinical and epidemiological experience
and each ptient was given a “score”
from 1 to 16. This “score”
was tested for its relationship to
the index formula SD and Transverse
Diameter measures were performed by
means of an enlarge caliper specially
designed by Maria Pia Panzica and
Spearman Rank correlation performed
between the parameters IGIA and the
score was r = 0.76 (p <<0.0001)
(for DS and WF alone were r = 0.71
and r = 0.70 respectively in the same
sample). These results did not improve
when heigth, BMI or other measures
were considered. Besides low IGIA
was related to absence of familiar
antecedents of early cardiovascular
disease. This is a simple formula
to be utilized in the medical practice.
In order to be widely useful, it must
be tested in a random free-living
population and in a prospective study.