1) The study compares body fat distribution between diabetic and non-diabetic persons aged 50-65 using the Conicity Index formula.
2) Diabetic persons, both male and female, had higher Conicity Index and WHR values, indicating more abdominal obesity compared to non-diabetic controls.
3) The Conicity Index was closely correlated with WHR for both diabetic and non-diabetic groups, suggesting it is a valid alternative to WHR for assessing abdominal fat distribution.
Differences in Body Fat Distribution Between Diabetic and Non-Diabetic Assessed by Conicity Index
1. Differences among Diabetic &
Non-Diabetic persons, concerning
Body Fat Distribution assessed
by
CONICITY INDEX.
6th European Congress on Obesity 1995
2. E. Kapantais, E. Papadimitriou,
K. Vendiadi, E. Manglara,
K. Kofotzouli, M. Marangos
and N. Katsilambros.
1st Dpt. Propaedeutic Medicine
Athens’ University Medical School
“Laikon” General Hospital
Athens - GREECE
6th European Congress on Obesity 1995
3. Background:
It is well established that excess body fat around the abdomen is
related to several metabolic disorders and mainly to type-2 Diabetes
Mellitus (NIDDM).
The most accurate technique for assessing abdominal fat mass, Axial
Computerized Tomography (ACT), is costly and time-consuming.
Anthropometry could be a valid alternative to ACT for the evaluatin of
fat distribution. However, current anthropometric indicators of obesity
have several limitations.
CONICITY INDEX implies that abdominal obesity is modelled as the
progression of a body from cylindrical shape toward the shape of 2 cones
with a common base at the waist level. This geometric approach expressed
with the formula: CONICITY INDEX = abdominal girth
0.109(weight/height)½
With this new index, the abdominal girths of persons of the same
height and weight are referred to the same standard value for comparison.
6th European Congress on Obesity 1995
4. Aim:
To assess the Conicity Index values
in a group of NIDDM, aged 50-65
years, as compared to Controls.
To study the correlation between
CONICITY INDEX and WHR
in NIDDM and Controls.
6th European Congress on Obesity 1995
6. RESULTS:
Males : 1.316 ± 0.081
M ± SD
Females : 1.252 ± 0.112
F M
Males and Females
CONICITY INDEX mean values.
6th European Congress on Obesity 1995
7. Mean BMI values.
* p =0.025
30 *
29 29.39
28
28.25 28.3
27
26 26.66
25
24
MALES FEMALES
NIDDM1 Controls ### °×Ó·›Î˜: ¢È·‚ËÙÈ΀˜ - 4M¿ÚÙ×Ú˜
AÓ‰ Ú˜: ¢È·‚ËÙÈÎÔ› 2
- M¿ÚÙ×Ú˜ ## NIDDM
3 Controls
6th European Congress on Obesity 1995
8. Mean Conicity Index & WHR values
WHR CONICITY INDEX * p=0.002
* § p=0.001
§
§
MALES: FEMALES:
NIDDM # Controls NIDDM # Controls
6th European Congress on Obesity 1995
9. Conicity Index values,
in Males and Females, NIDDM and Controls.
MALES FEMALES
1.6 1.5
*
1.5
* 1.4
1.4
1.3
1.3
1.2
1.2
*
*
*
1.1
1.1
*
1.0 1.0
0 1 0 1
Controls # NIDDM Controls # NIDDM
6th European Congress on Obesity 1995
10. Correlation between Conicity Index & WHR
in Males and Females.
r=0.78, p=0.000 r=0.74, p=0.000
1.2 1.1
1.1
1.0
W W
H 1.0
H
0.9
R 0.9
R
0.8
0.8
0.7 0.7
1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.0 1.1 1.2 1.3 1.4 1.5
Conicity Index Conicity Index
MALES FEMALES
6th European Congress on Obesity 1995
11. Correlation between Conicity Index and WHR
in Females with NIDDM & Controls.
r=0.58, p=0.001 r=0.80, p=0.000
1.0 1.1
1.0
0.9
W W
H H 0.9
R 0.8
R
0.8
0.7 0.7
1.0 1.1 1.2 1.3 1.4 1.5 1.0 1.1 1.2 1.3 1.4 1.5
Conicity Index Conicity Index
Controls NIDDM
6th European Congress on Obesity 1995
12. Correlation between Conicity Index and WHR
in Males with NIDDM & Controls.
r=0.87, p=0.000 r=0.66, p=0.000
1.2 1.1
1.1
W 1.0
W 1.0
H H
R 0.9 R 0.9
0.8
0.7 0.8
1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.0 1.1 1.2 1.3 1.4 1.5
Conicity Index Conicity Index
Controls NIDDM
6th European Congress on Obesity 1995
13. CONCLUSIONS:
In persons aged 50-65 years:
Women with NIDDM present
similar Body Fat Distribution,
as men with NIDDM.
Conicity Index is
closely related to WHR.
6th European Congress on Obesity 1995