WAIST HIP RATIO AS AN INDEX FOR IDENTIFYING WOMEN WITH
RAISED TC/HDL RATIOS
Noreen Sultan, Muhammad Nawaz*, Ambreen Sultan, Muhammad Fayaz
Department of Biochemistry,
Background: Obesity cannot be described solely
as fat mass but the location of fat deposition is very important to determine
the relation between obesity and disease. Abdominal type of obesity is linked
to risk factors of atherosclerosis and to metabolic disease. Waist Hip Ratio
(WHR) is a practical, simple and non-invasive index of adipose tissue
distribution. Methods: We looked for
a relation between WHR and TC/HDL-C ratios of a group of postmenopausal women.
All the subjects in each major group were of comparable age and BMI, but the
WHR varied from subject to subject. Each group was sub-divided into three
tertiles based upon the WHR. Serum total cholesterol (TC) and HDL cholesterol
(HDL-C) values were determined for all the subjects and TC/HDL-C ratio, which
is a recognized CHD risk screening index was calculated. Results: The WHR distribution was significantly different in
postmenopausal women from the pre-menopausal controls, and most of the
postmenopausal women showed android type of obesity with no subject in the
tertile with least WHR. It was noted that the TC/HDL-C ratio increased in
direct proportion with the increase in WHR and its mean value was above the
desirable value in both the tertiles of postmenopausal women. The test
performance characteristics of WHR showed that WHR is a sensitive and specific
index for screening of high TC/HDL-c ratio. Conclusion: We conclude that WHR (at a cut-off point of 0.84) can
serve as a sensitive and specific outpatient screening index to detect
postmenopausal women with an elevated TC/HDL-C ratio.
INTRODUCTION
Coronary heart disease (CHD) is the foremost cause of death in women as well as
men, although the onset of CHD is earlier on the average in men1.
Marked difference in the risk of CHD has been noted between men and women of
reproductive age2 but this gap closes with advancing age3.
It seems likely that some factors of Reproductive Physiology are responsible
for this4. Oestrogens affect lipid profile favorably, i.e. they
lower LDL-C and elevate HDL-C5. The women have more body fat than
men at the same relative body mass index6. Women however, show a
relative preponderance for gluteal and femoral regions for fat deposition7,
which is under the influence of oestrogen8. After menopause
oestrogen deficiency occurs due to menopausal ovarian involution9
and women become prone to masculine type of adipose tissue distribution that is
high waist/hip circumference ratio10. The health risks of the
obesity cannot be assessed on the basis of adiposity alone but the location of
fat deposition must be considered when studying the association between obesity
and disease11. Numerous clinical and epidemiological studies point
to association of android type of obesity with metabolic complications such as
glyco-regulation, hyperlipo-proteinemia and accelerated atherosclerosis which
all lead to cardiovascular disease12 .
Waist Hip ratio (WHR) is a practical
and simple index of adipose tissue distribution7. The waist hip
ratio (WHR), as an indicator of body fat distribution is related to several
clinical diseases13. The WHR can serve as an easy screening device
used in conjunction with other proven measures to detect those at elevated risk
for coronary heart disease(CHD)14. Similarly serum total
cholesterol/HDL-C (TC/HDL-C) ratio is important in indicating risk of CHD.
Ratios > 4.5 are dangerous while optimal ratios are around 3.53,4.
This study was designed to evaluate
the performance characteristics of WHR (at a cut-off value of 0.84) as an index
to determine the risk of CHD in postmenopausal women, by using TC/HDL-C ratio
as statistical Gold Standard15 at a cut-off point of 416.
MATERIAL AND METHODS
This study was carried out at Department of
Biochemistry, Basic Medical Sciences Institute, Jinnah Postgraduate Medical
Centre,
Fifty(50) postmenopausal women were
included in the study after taking a detailed medical history and observing the
exclusion criteria that included the diseases likely to alter lipid profile
namely diabetes, liver and renal disease.
Five (5) ml venous blood was
collected from each subject after an overnight fast of 12-14 hours. Serum was
separated within one hour of blood collection and stored at -20°C until analyzed for lipid profile.
Waist circumference was measured in
centimeters, one inch above umbilicus, while hip circumference was measured at
the level of iliac crest in standing position7,14. The ratio between the two was
calculated. The subjects were then divided into three tertiles (subgroups)
according to WHR. The tertiles were as follows:
Tertile-1: WHR < 0.76
Tertile-2: WHR > 0.76-< 0.84
Tertile-3: WHR > 0.84
The serum total Cholesterol (TC) was
estimated by the enzymatic colorimetric method using kit Cat No: 1001092 supplied
by Spinreact, S.A.Spain. Serum HDL-Cholesterol (HDL-C) was determined by using
Kit Cat No:1001095 supplied by Spinreact, S.A.Spain. The total cholesterol and
HDL-Cholesterol ratio (TC/HDL-C ratio) was calculated from the two values. The
ratio for each tertile of WHR were compared by ‘t’ test for significance..
The results obtained from all the
tests under evaluation were arrayed in a 2x2 statistical table shown in table
4. The gold standard used in this study was TC/HDL-C ratio with a cut-off point
(arbitrarily selected) of 4. The cut-off value for WHR was arbitrarily set at
0.84.
The calculations of the performance
characteristics of each test were made by using the four cells and their
marginal totals as shown in table 5. The performance characteristics included
sensitivity, specificity, false positives, false negatives, and positive and
negative predictive values17.
RESULTS
The results of this study are summarized in
Tables 1-4.
Table-1 shows the mean BMI, WHR,
number and percentage of the postmenopausal subjects in each one of the three
tertiles of WHR. The highest percentage of women was in the tertile 3 followed
by tertile 2 while there was no subject in tertile 1.
Table-2 shows the mean TC/HDL-C
ratio in all the tertiles of postmenopausal women. The TC/HDL-C ratio is
significantly (p<0.05) higher in tertile 3 of the postmenopausal women as
compared with the tertile 2.
Figure-1 is a graph showing the gradual increase in
TC/HDL-C ratios from tertile-1 to tertile-3 in both pre and postmenopausal
subjects.
Out of the 50 postmenopausal women 28 were found to
have high TC/HDL-C ratio (at a cut-off point of 4.00). WHR at a cut-off point
of 0.84 identified 22 (True Positive)
out of these 28, while it missed the rest 6 subjects with high TC/HDL ratio
(False Negative). Similarly 22 women were having TC/HDL-C ratio within normal
range. WHR at a cut-off point of 0.84, identified 17 (True Negative) while gave
false results for the rest 5 (False Positive). All these values were arranged
in the 2x2 Table as shown in table-3. The performance characters were
calculated using the values in table 3 and they are reported in table-4.
Table-1: Waist hip
ratio of different tertiles of postmenopausal women
TERTILE |
BMI (kg/m2) |
WHR (Mean±SEM) |
No. of
cases |
% n=50 |
TERTILE-1 WHR < o.76 |
--- |
--- |
0 |
0 |
TERTILE-2 WHR>0.76-<0.84 |
25 |
0.81±0.002 |
18 |
36 |
TERTILE-3 WHR > 0.84 |
25.5 |
0.87±0.005 |
32 |
64 |
Table-2: TC/HDL-ratio
in different tertiles of WHR in postmenopausal women
TC/HDL-C RATIO(Mean±SEM) |
||
TERTILE 1 WHR < o.76 |
TERTILE 2 WHR>0.76-<0.84 |
TERTILE 3 WHR > 0.84 |
--- (n=0) |
4.27±0.22 (n=18) |
5.16±0.14* (n=32) |
|
TC/HDL-C>4 Present Absent (D+) (D-) |
|
|
POSITIVE
(T+) WHR >.84 |
a = 22 True Positive |
b = 5 False Positive |
a+b = 27 |
NEGATIVE(T-) |
c = 6 False Negative |
d = 17 True Negative |
c+d = 23 |
TOTAL |
a+c = 28 |
b+d = 22 |
a+b+c+d = 50 |
Table-4: Performance
characteristic calculations of WHR based upon table-3
TEST
CHARACTERISTIC |
FORMULA
USING THE 2x2 TABLE |
VALUE |
Sensitivity |
a / (a+c) |
0.78 |
Specificity |
d / (b+d) |
0.77 |
False negative |
c / (a+c) |
0.21 |
False positive |
b / (b+d) |
0.22 |
Positive predictive value |
a / (a+b) |
0.81 |
Negative predictive value |
a / (c+d) |
0.95 |
DISCUSSION
Obese people have a much greater risk of dying
earlier than the people with acceptable levels of fatness18. Both
fat distribution and physical fitness are reported to be independently related
with some important cardiovascular risk factors in obese women19, 20.
Central fat distribution carries most metabolic risks and is associated with a
predisposition towards coronary heart disease, stroke, diabetes, breast cancer
and gallstones18.
A high WHR seems to be a proxy
measure of excess intra-abdominal fat. People with high WHR measurements can be
said to have a central fat distribution: people with low WHR measurements can
be said to have a peripheral fat distribution. High WHR is associated with
NIDDM, impaired glucose tolerance, elevated blood pressure and serum lipids24.
Oshaug et al.,21 reported positive relation between WHR and serum
cholesterol, triglycerides, fibrinogen and diastolic blood pressure.
A high WHR indicates predominance of
abdominal adipocytes over the hip adipocytes. The abdominal adipocytes have
been shown to have higher rates of basal lipolysis. This increases free fatty
acid flux into the portal vein, causing increase in triglyceride and VLDL
synthesis in liver. The free fatty acid may also inhibit cholesterol
esterification and decrease the acquisition of cholesterol by HDL particles25.
In this study we included the
subjects with a comparable BMI but variable WHR. We observed that WHR generally
has a higher trend in postmenopausal women as compared with the premenopausal women.
We found that a high WHR was significantly associated with a high TC/HDL-C
ratio. The results indicate that in postmenopausal women the distribution of
fat deposits as indicated by tertile of WHR may be a reliable predictor of the
risk of elevated TC/HDL-C ratio.
We conclude that WHR at a cut-off
point of 0.84 can be used as an easy, specific and sensitive screening method
to detect the postmenopausal women with increased risk of raised TC/HDL-C
ratio, that is an established risk factor for CHD.
REFERENCES
1.
Arca M, Vega GL, Grundy SM. Hypercholestrolemia
in postmenopausal women. JAMA 1994;27:453-9.
2.
Connor E B, Busch T L. Estrogen and coronary
heart disease in women. JAMA 1991;265:1861-1867.
3.
Castelli WP. Cardiovascular diseases in women.
Am J Obstet Gynecol 1988;158:1553-60
4.
Kannel WB. Metabolic risk factors for coronary
heart disease in women: Perspective from the
5.
Godsland IF, Wynn V, Crook D, Miller NE. Sex,
plasma proteins and outstanding questions. Am Heart J 1987;114(1):1467-1503.
6.
Krotkiewski M, Bjorntorp P, Sjostrom L, Smith U.
Impact of obesity on metabolism in men and women, importance of regional
adipose tissue distribution. J Clin Invest 1983;72:1150-62.
7.
Larsson B, Svardsudd K, Welin L, Wilhelmsen L,
Bjorntorp P, Tibblin G. Abdominal adipose tissue distribution, obesity and risk
of cardiovascular disease and death, 13 years folmlow up of the participants in
the study of men born in 1913. Br Med J 1984;288:1401-4.
8.
Guyton C: Female physiology before pregnancy and
the female hormones. In: Text book of Medical Physiology. Wonsiewicz M J
(editor), 8th edition, W.B .Saunders company,Philadelphia,1991 pp 899
9.
Matthews KA, Meilahn E, Muller LH, Kelsey SF,
Caggiula AW, Wing RA. Menopause and the risk factors for CHD. N Engl J Med
1989;321:641-6.
10.
Lapidus L, Bengtsson C, Larsson B, Pennert K,
Rybo E, Sjostrom L. Distribution of adipose tissue and risk of cardiovascular
disease and death: a 12 year follow up of participants in the population study
of women in
11.
Hartz AJ, Rupley DC, Rimm AA. The association of
girth measurements with disease in 32856 women. Am J Epidemiol 1984;119:71-80.
12.
Skotic E, Ivkovic LT. Relation between the
abdominal sagittal diameter, fat tissue distribution and metabolic
complications. Med Pregl1996;49(9-10):365-8.
13.
Caan B, Armstrong MA, Selby JV, Sadler M, Folsom
AR, Jacobe D et al., Changes in measurements of body fat distribution
accompanying weight change. Int J Obes Relat Met Disord 1994;18 (6):397-404.
14. Soler
JT, Folsom AR, Kushi LH, Prineas R J, Seal US. Association of body fat
distribution with plasma lipids, lipoproteins, apolipoproteins A1 and B in
postmenopausal women. J Clin Epidemiol 1988;41:1075-81.
15. Griner
P, Mayewski R, Mushlin A, Greenland P. Selection and interpretation of
diagnostic tests and procedures: Principles and applications. Ann Intern Med.
1981;94:553-61.
16. Fletcher
R, Fletcher S, Wagner E: Clinical Epidemiology:The essentials. Wagner E
(editor), 2nd ed. Williams and Wilkins.1988.
17.
Essex-Sorlie D: Interpreting clinical laboratory
tests. In:Medical Biostatistics and Epidemiology. Dolan J (editor)Ist
ed.Appleton and Lange.Norwalk.pp 93.
18.
Ashwell M. Obesity in men and women. Int J Obes
Relat Met Disord 1994;18 Suppl 1: S1-7.
19.
Tanaka H, Kakiyama T, Takahara K, Yamauchi M,
Tanaka M, Sasaki J et al.,. The association among fat distribution, physical
fitness and the risk of cardiovascular disease in obese women. Obes. Res.
1995;3 Suppl 5:649S-653S
20.
Kunesova M, Hainer V, Hergetova H, Zak A,
Parizkova J, Horejs J et al.,. Simple anthropometric measurements-relation to
body fat mass, visceral adipose tissue and risk factors of atherogenesis.
Sb.Lek 1995:96(3):257-67.
21.
Oshaug A, Bugge K H, Bjonnes C H, Ryg M. Use of
anthropometric measurements in assessing risk for coronary heart disease: a
useful tool in worksite health screening. Int Arch Occup Environ Health
1995;67(6):359-66.
22.
Wing RR, Jeffery RW. Effect of moderate weight
loss on changes in cardiovascular risk factors: are there differences between
men and women or between weight loss and maintainence. Int J Obes Relat Met
Disord 1995;19(1):67-73.
23.
Albu JB, Murphy L, Frager DH, Johnson JA,
Pi-Sunver FX. Visceral fat and race-dependent health risks in obese nondiabetic
premenopausal women. Diabetes 1997;46 (3):456-62.
24.
Sakurai Y, Kono S, Shinchi K, Honjo S, Todorki
I, Wakabayashi K et al. Relation of waist-hip ratio to glucose tolerance, blood
pressure and serum lipids in middle aged Japanese males. Int J Obes Relat Met
Disord 1995:19(9):632-7.
25.
Kissebah AH, Evans DJ, Peiris A, Wilson CR.
Endocrine characteristics in regional obesities: role of sex steroids. In:
Metabolic Complications of human Obesities. Vague J et al., (editors)
______________________________________________________________________________________________________________
Address for Correspondence:
Dr. Noreen Sultan, Department of Biochemistry,
Email: Noreen@ayubmed.edu.pk