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Scientific Review
ISSN(e): 2412-2599, ISSN(p): 2413-8835
Vol. 3, No. 11, pp: 90-95, 2017
URL: http://arpgweb.com/?ic=journal&journal=10&info=aims
*Corresponding Author
90
Academic Research Publishing Group
Assessment of the Prevalence of Some Cardiovascular Risk
Factors among the Ogonis and Ikwerres in Rivers State, Nigeria
Tomaziga Oladipo A. Department of Medical Laboratory Science, Faculty of Science, Rivers State University of Science and
Technology, Port Harcourt, Rivers State, Nigeria
Gospel Ajuru* Department of Anatomical Pathology, Faculty of Basic Medical Science, University of Port Harcourt,
Choba, Rivers State, Nigeria
1. Introduction
Cardiovascular disease are the most common and yet one of the most preventable causes of deaths. Moreover,
the risk of premature cardiovascular disease varies by ethnic group. White subjects, Afro-Caribbean and people of
Africa descent have high incidence of stroke, and end stage renal failure [1]. South Asians, (from the Indian
subcontinent and from East Africa) have a higher incidence of coronary heart disease[2].
Environmental and modification factors relating to diet and life style play an important role [3]. In 1991, the
British government set new targets for the health of the nation, with coronary heart disease and stroke as key areas.
The objectives are to reduce the levels for ill health and death caused by coronary heart disease and stroke, and risk
factors associated with them. Different strategies were set up, for instance, to reduce blood cholesterol
concentrations and smoking rates, with the major focus on the populations, mostly white of England and Wales.
Smoking cessation and reductions in cholesterol levels and blood pressure have been shown to be effective
strategies in the prevention of cardiovascular disease [4]. However, these major classic cardiovascular risk factors
and such non-modifiable risk factors as age, sex and family history cannot fully explain why some person develop
myocardial infarction, stroke, and other cardiovascular disease, but other persons do not. Other factors may also
increase the likelihood of developing cardiovascular disease and contributes to atherogenesis. Modifiable risk factors
include dyslipidemia, hypertension, smoking, diabetes mellitus, obesity, physical inactivity, alcohol consumption
and psychological factors [5].
Current guideline jointly accepted by the American Association and the American College of Cardiology are
divided into two groups, namely: major independent risk factors and other risk factor6. The major and independent
risk factors for cardiovascular heart disease are cigarette smoking of any amount, elevated blood pressure, elevated
serum total cholesterol (LDL-C), low serum high-density lipoprotein cholesterol (HDL-C), diabetes mellitus, and
advancing age. Other factors associated with increased risk for cardiovascular heart disease are obesity, abdominal
obesity, physical inactivity, family history of premature coronary heart disease, ethnic characteristics, psychosocial
factors, conditional risk factors and predisposing risk factors. The conditional risk factors are associated with
increased risk for cardiovascular heart disease, although their causative, independent and quantitative contributors to
cardiovascular heart disease have not been well documented[6].
Approximately eight million people belong to these two ethnic groups (Ikwerre and Ogoni). These groups are
concentrated in and around inner cities. Morbidity and mortality from vascular disease and use of health care
delivery are likely to be high in such areas, and the health of the Nation’s strategies may not apply to these groups
for which more tailored preventive strategies may be needed.
Abstract: The prevalence of some cardiovascular risk factors among the Ogonis and Ikwerres in Rivers State,
Nigeria was assessed in two hundred subjects. Well structured questionnaires were used to assess smoking status,
duration of diabetes, age, weight, and height from the participants. Measurement of blood pressure was done to
ascertain the blood pressure of the subjects. Analysis of fasting blood sugar was done to confirm diabetes status of
participants. Body mass index (BMI), was calculated from the height and weight. The mean age of males in the
study was higher than that of the females (P=.05). Mean SBP and DBP values were significantly higher (P=.05)
among the Ikwerres and Ogonis. BMI was significantly higher for Ogonis than Ikwerres (P=.05). In the various
categories of risk, BMI for males was diabetics (47.89), smokers (44.73) and hypertensives (45.37) for type III
obesity which shows a higher risk for cardiovascular disease.
Keywords: Cardiovascular risk factors; Ogonis; Ikwerres; Diabetes; Smokers.
Scientific Review, 2017, 3(11): 90-95
91
Cardiovascular disease refers to the class of disease that involve the heart and (or blood vessels (arteries and
veins) while the term technically refers to any disease that affects the cardiovascular system. It is usually used to
refer to those related to atherosclerosis (arterial disease). These conditions have similar causes, mechanisms and
treatments to cardiovascular disease in a general diagnostic category consisting of several separate diseases of the
heart and circulatory system. In 1997 alone, nearly 1 million people died of cardiovascular disease, which was about
40 percent of all deaths[7]. The two most important components are urinary heart disease and cerebrovascular
disease, with 460,390 dying of coronary heart disease and 158,060 dying of cardiovascular disease in 1998. In 2000,
it was estimated that cardiovascular disease carried health expenditure cost of $186 billion and an additional indirect
costs of $190 billion, making these disease a continuing major contributor to the escalating cost of health care in the
United States[7].
The qualitative relationship between these risk factors and urinary heart disease risk has been elucidated by the
Framingham Heart study and other studies, which show that the major risk factors are addictive in predictive power.
Accordingly, the total risk of a person can be estimated by a summary of the risk imparted by each of the major risk.
Type 2 diabetes is of particular concern because it is also common and usually occurs in persons of advancing
age, when multiple other risk factors co-exist. There is a growing consensus that most patients with diabetes
mellitus, especially those with type 2 diabetes, belong to a category of high short-term risk when the risk factors of
diabetic patients are summed, their risk often approaches that of patients (established) coronary heart disease [8].
Cigarette smoking has been established as a risk factor met only for lung cancer, emphysema, and bronchitis but
also for coronary cerebral and peripheral vascular disease [7]. This association has been in many countries, among
widely diverse ethnic groups, in both sexes, and across various adult age groups. In industrialized nations, cigarette
smoking is a principal cause of preventable disease and premature death. Cigarette smoking is firmly established as a
risk factor for coronary heart disease, peripheral vascular disease and stroke. One explanation for this relationship is
that smoking is known to increase atherosclerosis. Atherosclerotic cardiovascular disease is the chief contributor to
most death from smoking [9].
High blood pressure is a powerful risk factor for cerebrovascular disease as well as for coronary heart disease.
An estimated 50 million people have high blood pressure, defined as a level equal to or greater than 140mmHg
systolic pressure or 90mmHg diastolic, or as being on a regimen of antihypertensive medication [10].
Lipid profile is a lipid test that measures the levels of lipids such as total cholesterol, triglyceride (TG), high-
density lipoprotein (HDL), low density lipoprotein (LDL) and very low density lipoprotein (VLDL) to assess risk of
cardiovascular disease. Low density lipoprotein (LDL), an important risk factor for coronary heart disease, is made
up of particles of various sizes and densities. Clinical studies have established that individuals with a small, dense
LDL sub-fraction profile are likely to develop coronary heart disease [3]. These small dense LDL sub-fractions are
more susceptible to oxidations than large, lighter ones and once oxidized, promote foam –cell formation, initiate
endothelial dysfunction and thereby promote atherogenesis in a variety of ways.
The aim of this work was to assess the prevalence of some cardiovascular risk factors among Ogoni and Ikwerre
ethnic groups in Rivers State, Nigeria; and to provide an appropriate guideline or intervention for the risk reduction
in the region. Also, to monitor progress in maintaining good health in the region.
2. Materials and Methods
2.1. Study Area
The sample was collected from subjects of Ogonis and Ikwerres in Rivers State, Nigeria. The subjects consisted
of males and females who were randomly sampled from Ogonis and Ikwerre ethnic groups. The sampling from
Ogonis ethnic group was done at Elele. A total of 100 subjects were sampled amongst the Ogoni subjects while the
Ikwerre subjects were 100 in number.
2.2. Physical Measurements
Height was measured without shoes to the nearest cm using ruler attached to the wall, weight was measured to
the nearest 0.1kg on an electronic scale with the subject wearing light indoor clothing and no shoes.
The body mass index (BMI) was calculated as weight (kg) divided by the square of the height (m). After the
subject had rested for at least 10 minutes in a supine position, systolic and diastolic blood pressure were taken three
times, with two minute intervals between measurement, using an automatic ultrasound sphygmonanometer
(Arteriosound), Roche Products, Welweyn Garden City, UK) (PH). Blood pressure was measured in the left arm
using cuts of a size appropriate to the arm circumference; the average of the last two readings was used for the
analyses.
2.3. Collection of Blood Sample
Blood was collected by venepuncture. Blood for glucose was collected into fluoride oxalate bottle. The plasma
for glucose determination was done by glucose oxidase method.
2.4. Determination of Fating Blood Sugar
Fasting blood sugar was determined by enzymatic celorimetric method.
Scientific Review, 2017, 3(11): 90-95
92
2.4.1. Principle
Glucose oxidase catalyses the oxidation of glucose to give hydrogen penoxide and glucose acid. In the presence
of hydrogen peroxidase the hydrogen peroxide is broken down and the oxygen released reacts with 4-
aminophenrazone and phenol to form quinoneimine. The colour intensity determined by absorbance is proportional
to the glucose concentration.
Glucose + O2 + H2O Glucose Gluconic acid +H2O
Oxidase
2.4.2. Procedure
The blood samples were transfered into tubes and centrifuged for five minutes at 12000rpm using Gallenkamp
centrifuge. The supernatants (plasma) were separated and arranged accordingly to the number on the tubes. Three set
of test tubes were arranged in test tube rack and 20”l of standard, plasma and distilled water were transferred into
separate test-tube that contained 2.0ml of glucose reagent each using micropipette, then, the contents were mixed
and incubated in water bath for 10 minutes at 370
C. Thereafter, the absorbance of the samples was read against the
reagent blank at 530nm using labtek electronic controlled photo colorimeter.
Calculation – the concentration of fasting blood sugar was calculated using the formula.
Glucose concentration = A sample X standard concentration
A standard
Where
A sample = charge in absorbance of sample
A standard = charge in absorbance of standard
Standard concentration = 5.5 Mmol/L
Reference range = 3.3-5.5 Mmol/L
2.4.3. Statistical Analysis
From the population study, statistical analysis such as calculating mean, standard deviation, analysis of variance,
t- test and risk score were done.
3. Results
Results were obtained from a total of 200 subjects for fasting blood sugar and body mass index (BMI). 100 were
Ikwerre and 100 Ogonis.
These subjects had a history of diabetes type 2, and hypertension and smoking. The sub groups among the
subjects were smokers, non-smokers, hypertensive, non-hypertensive, diabetes and non diabetes.
Among the Ikwerre subjects, 66 (66%) were males and 34 (34%) were females; while among the Ogoni
subjects, 62 (62%) were male and 38 (38%) were females. The ages for Ogoni males were between 35 years and 75
years, while that for the females was between 35 years and 69 years.
The ages for Ikwerre males were between 35 years and 75 years. Among the Ogoni subjects, 22 were diabetics,
10 non-diabetics, 25 hypertensive, 23 smokers, 10 non-smokers, and 10 non-hypertensive. Among the Ikwerre
subjects, 20 where diabetics, 11.non-diabetics, 19 smokers, 8 non-smokers, 32 hypertensive and 10-non-
hypertensive.
Means and SD of all physical parameters for Ogoni male and female. The analysis of the means and standard
deviation of age, weight, height, Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP), pulse rate, Body
Mass Index (BMI) are shown in Table 1.
There were 62 male subjects with mean age of 59.09 ± 9.08 years and 38 female subjects with mean age of 50 ±
7.58 years. The mean age of the male subjects was significantly higher than the female subjects at (P.05).
The mean weight and height of male subjects were 68.66 +
13.7kg and 1.57 + 0.19 meters, while the females
were 71.48 + 11.97 and 1.59 + 0.12m respectively. There were not significant differences in means between the male
and female Ogoni subjects at (P>.05).
The mean SBP and DBP of male subjects were 127.61±32.93 mmHg and 94.19+23.44 mmHg while the female
subjects were 119.87±29.8 mmHg and 86.19+ 18.72 mmHg.
The mean pulse rate of male was 74.53 + 12.57 beats per minute while female was 75.47+ 10.28 beats per
minute respectively.
The mean BMI for female and male subjects were observed to be 26.36 + 6.74 and 26.38 + 10.01 Kg/m2
. BMI
were also not significantly different at P>.05 between the male and female subjects.
Scientific Review, 2017, 3(11): 90-95
93
Table-1. Results of the mean ± SD of all physical parameters for Ogoni males and females
Perimeters Ogoni Males
n=62
Mean + SD
Ogoni
females n=38
Mean + SD
t-stat t - critical two-
tail
P-value
Age (years) 59.09+ 9.08 50 ±7.58 5.398975977 1.986977622 1.23654806 S
SBP (mmHg) 124.61+32.93 119.87+29.8 1.211434094 1.988610165 0.239809895 NS
DBP (mmHg) 94.19+23.44 86.19+18.72 1.883311094 1.986377356 0.077342133 NS
HT (m) 1.57+ 0.19 1.59+.12 -1.527620644 1.984467417 0.171815719 NS
WGT (Kg) 68.66+13.19 71.84+11.97 -1.240403326 1.988610165 0.228603005 NS
Pulse Rate(mms) 74.53+12.57 75.47+10.28 -0.40793794 1.986672942 0.698288119 NS
BMI (Kg/m2
) 26.38+10.09 26.36+6.74 0.008877181 1.984722076 0.993563054 NS
SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI – Body Mass Index; NS – Not
Significant; S – Significant
3.2. Mean and SD of Physical Parameters Measured for Ikwerre Male and Female
The analysis of the means and standard deviation of age, weight, height, SBP, DBP, pulse rate and BMI
measured for Ikwerre male and female are shown in table 2. There were 66 male subjects with mean age of 59.55
+9.75 years and 34 female subjects with mean age of 52.21 + 7.26 years. The mean age of the male subject was
significantly higher than the female subjects at (P0.05). The mean weight and height of male subjects were 67.97+
14.41kg and 1.59+ 0.13cm, while the female were 71.38 +10.28kg and 1.54 + 0.27cm respectively. The mean SBP
and DBP for males subjects were 11.96 + 32.17 and 89.55 + 23.82 mmHg and SBP, DBP for female were
112.94±31.33 and 86.62±23.51 units regularly. The pulse rate for males was 73.92±13.79 beats per minute while for
females, it was 73.24±16.39.
Analysis of the blood measure revealed that the blood pressure in the (SDP and DBP) male subject were not
significantly different from their female counterpart. However, the mean BMI for female and male subjects were
observed to be 21.13+6.69 and 20.26 + 5.55kg/m2
respectively.
They are also not significantly different at P=.05.
Table-2. Mean and SD of physical parameters measured for Ikwerre males and females
Perimeters Ikwerre
Males n-66
Mean + SD
Ikwerre
Female n-34
Mean + SD
t-start t - critical P-value
Age 59.55+ 9.75 52.21 +7.26 4.243506183 1.9882691 P=.05 NS
SBP 112.96+32.17 112.94+31.53 0.001994817 1.99546776 P=.05 NS
DBP 89.55+23.82 86.62+23.57 0.587309989 1.99546776 P=.05 NS
HT 1.59+ 0.13 1.54+0.27 0.289090328 1.99394435 P=.05 NS
WGT 67.95+14.41 71.38+10.28 1.373492784 1.9872914 P=.05 NS
Pulse 73.92+13.79 73.24+16.39 0.209841507 2.00171598 P=.05 NS
BMI 20.26+5.55 21.13+6.69 0.648637525 2.00246632 P=.05 NS
SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI – Body Mass Index;
NS – Not Significant; S - Significant
Scientific Review, 2017, 3(11): 90-95
94
Table-3. Comparism of SD of physical parameters measured in the various Categories of CAD risk factors among Ogoni subjects
SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI – Body Mass Index; NS – Not Significant;–
Significant
The analysis of the means and SD of age, weight, height, SBP, DBP, pulse rate and BMI are shown in Table 3.
The mean ages for diabetics, non-diabetics, smokers, non-smokers, hypertensive and non-hypertensive were
significant at (P=.05). SBP, DBP, height, weight and BMI had no level of significance.
Table- 4. Comparism of means and SD of physical parameter measured in the various categories of CAD RFactors. among Ikwerre subjects
SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI –Body Mass Index; NS – Not Significant; S –
Significant
The analysis of the means and SD of age, weight, SDP, DBP, pulse BMI, are shown in Table 4. The mean age
of diabetics, non-diabetics, smokers, non-smokers, hypertensive and non-hypertensive are 57+ 9.19, 57.25+ 10.00,
60.06 + 11.99. 56.51 +9.92, 58.82±8.30 and 56.37± 10.18 years. The means of SBP and DBP were significant at
(P=.05).
The means of height and weight were not significant at (P=.05). The mean BMI was not significant at (P=.05)
3.5. Comparison of Mean and SD of All Physical Parameters for Ogoni and Ikwerre Ethnic
Populations
The analysis of the physical parameters is shown Table 5. SBP and DBP are 126.17 + 44.63 mmHg and 109.85+
31.34 mmHg and 105.25 + 25.94 mmHg and 91.95± 24.70 mmHg. The blood pressure were significantly different
(P=.05) between two populations. The mean age for Ogoni and Ikwere are 55.94+ 9.44 (years) and 5.7.15+ 9.65
years respectively.
Height and weight are 1.60 +0.12cm and 1.59 +0.34kg and 71.88+ 12.34cm and 70.12 + 11.36kg respectively.
The mean BMI were 28.54 +6.67kg/m2
for Ikwerre. The means were significantly different at P=.05 between the
two populations.
The pulse rate for Ogoni and Ikwerre are77.45 + 11.29 beats per minute’s and73.8 + 14.84 beats per minutes
respectively. There was no significant different at P=.05 in the means between the two populations.
Parameters DM
N=22
Non
Dm n=10
Smokers
n=23
Non smokers
n=16
Hypertensive
n=15
Non-hypertensive
n=10
P-value
Age 55.06
+10.34
57.44
+6.12
60.13
+10.15
54.66
+ 9.58
55.90
+10.31
55.95
+9.52
P=.05 NS
SBP 147.66
+22.54
87.97
+1.55
103.78
+34.24
132.86
+32.02
154.22
+8.89
87.43
+11.65
P=.05 NS
DBP 120.7
+18.32
77.78
+9.29
90.87
+28.67
109.55
+23.61
125.35
+11.23
77.5
+9.45
P=.05 NS
HT 1.613
+0.12
1.57
+0.12
1.57
+0.13
1.61
+0.12
1.61
+0.12
1.58
+0.13
P=.05 NS
WGT 71.8
+13.84
72.03
+9.26
70.69
+8.24
72.23
+13.34
72.85
+11.16
70.55
+13.83
P=.05 NS
Pulse 78.98
+10.86
74.72
+11.69
80.48
+11.59
76.55
+11.12
79.12
+10.98
75.14
+11.45
P.05 NS
BMI 28.44
+6.54
28.71
+6.44
29.32
+5.80
28.31
+6.68
28.45
+6.70
28.66
+6.23
P=.05 NS
Parameter Diabetics
n=20
Non-
diabetics
n=11
Smokers
n=19
Non-
smokers
n=8
Hypertensive
n=32
Non-
hypertensive
n=10
P-value
Age 57
+9.19
57.25
+10.00
60.06
+11.99
56.51
+9.92
58.82
+8.30
56.37
+10.18
P=.05 NS
SBP 140.89
+1 9.29
90.00
+19.17
107.22
+33.13
110.43
+31.23
150
+9.16
90.96
+17.0
P=.05 NS
DBP 113.72
+23.73
78.03
+12.26
87.77
+23.09
92.87
+25.54
124.69
+12.89
76.54
+8.74
P=.05 NS
HT 1.59
+ 0.15
1.59
+0.42
1.47
+0.17
1.58
+0.14
1.61
+0.16
1.54
+0.14
P=.05 NS
WGT 70.74
+10.92
69.72
+11.70
66.94
+13.41
70.82
+10.82
70.31
+11.10
70.03
+11.56
P=.05 NS
Pulse 76.87
+10.57
68.46
+20.09
72.56
+19.33
71.56
+17.14
77.13
+9.36
69.21
+19.73
P=.05 NS
BMI 24.72
+6.55
24.67
+8.02
19.94
+9.98
25.73
+6.38
23.61
+6.50
25.20
+7.84
P=.05 NS
Scientific Review, 2017, 3(11): 90-95
95
Table-5. Comparison of mean and SD of physical parameters measures for Ogoni and Ikwerre ethnic populations
Parameters Ogoni
n= 100
Ikwerre
n=100
P-value
Age 55.92+ 9.94 57.15+9.65 P=.05 NS
SBP 126.17+ 34.63 109.85+31.34 P=.05 NS
DBP 105.25+25.94 91.95+24.76 P=.05 NS
HT 1.60+ 0.12 1.59+0.34 P=.05 NS
WGT 71.88+12.34 70.12+11.36 P=.05 NS
Pulse 77.45+11.29 73.8+14.84 P=05 NS
BMI 28.54+6.47 24.69+7.45 P=.05 NS
SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height;
WGT – Weight; BMI – Body Mass Index; NS – Not Significant; S – Significant
4. Discussion
This study evaluated cardiovascular risk profile of male and female among the Ogonis and Ikwerre in Rivers
State. Several known risk factors were employed to assess the prevalence of some risk factors among the two ethnic
groups. Notable among the factors were diabetes, hypertension, body mass index, age and smoking status.
Mean SBP and DBP were also significantly high at (P=.05), in the various categories of CAD risk factors
among Ogoni and Ikwerre subjects.
BMI was significantly high for Ogonis (28.54 +0.47) than Ikwerre (24.69+ 7.45) at (P=.05).
A high BMI scores indicates greater risk for developing serious health problems, such as heart disease, stroke
and diabetes.
Mean BMI distribution of subjects according to various categories of risk factors for CAD in Ogoni males
showed that there was a strong relationship between the BMI as a risk factor for the categories of risk factor such as
diabetics, smokers and hypertensive.
In these categories, then mean BMI were as high as 47.89, 44.73 and 45.37 for type 3 obesity, which shows a
high risk for cardiovascular disease.
The females were not much affected since none of them was classified as a smoker in this study, but a few of the
hypertensive and diabetes were classified under the type II obesity; which shows that the males in Ogoni are more
prone to CAD than the females. The reverse was the case among the Ikwerre ethnic group, the females had a higher
mean BMI for diabetics and hypertensive (40.82) for type III obesity; as opposed to the males who had no value for
type III obesity.
5. Conclusions
Based on this study, three categories of cardiovascular risk factors were assessed to determine the prevalence of
some cardiovascular risk factors among the Ogonis and Ikwerres.
The mean values for glucose, body mass index, and age were all significantly high at (P=.05).
Application of the risk prediction score based on Framingham Heart Study showed that (186%) of the study
populations were at high risk of developing cardiovascular disease. Smoking, hypertension, diabetes were observed
to have significant effects when the body mass index was considered at (P=.05).
REFERENCES
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replacement therapy in thames regions: Ethnic dimension." Britain Medical Journal, vol. 309, pp. 1111-
1114.
[2] Balarajan, R., 1991. "Ethnic differences in mortality from islamic heart disease and cardiovascular disease
in England and Wales." Britain Medical Journal, vol. 302, pp. 560-564.
[3] Epstein, F. H., 1996. "Cardiovascular disease epidemiology." Circulation, vol. 93, pp. 1755-1764.
[4] Zhu, B. and Parmley, W. W., 1995. "Hemodynamic and vascular effects of active and passive smoking."
American Heart Association Journal, vol. 130, pp. 1270-1275.
[5] Moss, S. E., Klern, R., and Klein, B. E., 1991. "Cause specific mentality in a population based study of
diabetes." American Journal of Public Health, vol. 81, pp. 1158-1162.
[6] Grendy, S., Pasternak, M. R., and Greenland, P., 1999. "Assessment of cardiovascular risk factor,
assessment equations." Journal of American College of Cardiology, vol. 34, pp. 1248-1359.
[7] Eckel, R. H., 1997. "Obesity and heart disease, a statement for healthcare professional from the nutrition
committee." American Heart Association Circulation, vol. 96, pp. 4348-3250.
[8] Haffner, S. M., Lehfo, S., and Ronnemaa, T., 1998. "Mortality from coronary heart disease in subjects with
type 2 diabetes and in non-diabetics subjects with and without prior myocardial Infarction." New England
Journal of Medicine, vol. 339, pp. 229-239.
[9] Tell, G. S., Polak, J. F., Ward, B. J., Savage, P. J., and Robbins, J., 1994. "Relation of smoking with canetid
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[10] Kannel, W. B. and Wilson, P. F., 1995. "Factors that alternate the female coronary disease advantage."
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Cardiovascular Risk Factors in Nigerian Ethnic Groups

  • 1. Scientific Review ISSN(e): 2412-2599, ISSN(p): 2413-8835 Vol. 3, No. 11, pp: 90-95, 2017 URL: http://arpgweb.com/?ic=journal&journal=10&info=aims *Corresponding Author 90 Academic Research Publishing Group Assessment of the Prevalence of Some Cardiovascular Risk Factors among the Ogonis and Ikwerres in Rivers State, Nigeria Tomaziga Oladipo A. Department of Medical Laboratory Science, Faculty of Science, Rivers State University of Science and Technology, Port Harcourt, Rivers State, Nigeria Gospel Ajuru* Department of Anatomical Pathology, Faculty of Basic Medical Science, University of Port Harcourt, Choba, Rivers State, Nigeria 1. Introduction Cardiovascular disease are the most common and yet one of the most preventable causes of deaths. Moreover, the risk of premature cardiovascular disease varies by ethnic group. White subjects, Afro-Caribbean and people of Africa descent have high incidence of stroke, and end stage renal failure [1]. South Asians, (from the Indian subcontinent and from East Africa) have a higher incidence of coronary heart disease[2]. Environmental and modification factors relating to diet and life style play an important role [3]. In 1991, the British government set new targets for the health of the nation, with coronary heart disease and stroke as key areas. The objectives are to reduce the levels for ill health and death caused by coronary heart disease and stroke, and risk factors associated with them. Different strategies were set up, for instance, to reduce blood cholesterol concentrations and smoking rates, with the major focus on the populations, mostly white of England and Wales. Smoking cessation and reductions in cholesterol levels and blood pressure have been shown to be effective strategies in the prevention of cardiovascular disease [4]. However, these major classic cardiovascular risk factors and such non-modifiable risk factors as age, sex and family history cannot fully explain why some person develop myocardial infarction, stroke, and other cardiovascular disease, but other persons do not. Other factors may also increase the likelihood of developing cardiovascular disease and contributes to atherogenesis. Modifiable risk factors include dyslipidemia, hypertension, smoking, diabetes mellitus, obesity, physical inactivity, alcohol consumption and psychological factors [5]. Current guideline jointly accepted by the American Association and the American College of Cardiology are divided into two groups, namely: major independent risk factors and other risk factor6. The major and independent risk factors for cardiovascular heart disease are cigarette smoking of any amount, elevated blood pressure, elevated serum total cholesterol (LDL-C), low serum high-density lipoprotein cholesterol (HDL-C), diabetes mellitus, and advancing age. Other factors associated with increased risk for cardiovascular heart disease are obesity, abdominal obesity, physical inactivity, family history of premature coronary heart disease, ethnic characteristics, psychosocial factors, conditional risk factors and predisposing risk factors. The conditional risk factors are associated with increased risk for cardiovascular heart disease, although their causative, independent and quantitative contributors to cardiovascular heart disease have not been well documented[6]. Approximately eight million people belong to these two ethnic groups (Ikwerre and Ogoni). These groups are concentrated in and around inner cities. Morbidity and mortality from vascular disease and use of health care delivery are likely to be high in such areas, and the health of the Nation’s strategies may not apply to these groups for which more tailored preventive strategies may be needed. Abstract: The prevalence of some cardiovascular risk factors among the Ogonis and Ikwerres in Rivers State, Nigeria was assessed in two hundred subjects. Well structured questionnaires were used to assess smoking status, duration of diabetes, age, weight, and height from the participants. Measurement of blood pressure was done to ascertain the blood pressure of the subjects. Analysis of fasting blood sugar was done to confirm diabetes status of participants. Body mass index (BMI), was calculated from the height and weight. The mean age of males in the study was higher than that of the females (P=.05). Mean SBP and DBP values were significantly higher (P=.05) among the Ikwerres and Ogonis. BMI was significantly higher for Ogonis than Ikwerres (P=.05). In the various categories of risk, BMI for males was diabetics (47.89), smokers (44.73) and hypertensives (45.37) for type III obesity which shows a higher risk for cardiovascular disease. Keywords: Cardiovascular risk factors; Ogonis; Ikwerres; Diabetes; Smokers.
  • 2. Scientific Review, 2017, 3(11): 90-95 91 Cardiovascular disease refers to the class of disease that involve the heart and (or blood vessels (arteries and veins) while the term technically refers to any disease that affects the cardiovascular system. It is usually used to refer to those related to atherosclerosis (arterial disease). These conditions have similar causes, mechanisms and treatments to cardiovascular disease in a general diagnostic category consisting of several separate diseases of the heart and circulatory system. In 1997 alone, nearly 1 million people died of cardiovascular disease, which was about 40 percent of all deaths[7]. The two most important components are urinary heart disease and cerebrovascular disease, with 460,390 dying of coronary heart disease and 158,060 dying of cardiovascular disease in 1998. In 2000, it was estimated that cardiovascular disease carried health expenditure cost of $186 billion and an additional indirect costs of $190 billion, making these disease a continuing major contributor to the escalating cost of health care in the United States[7]. The qualitative relationship between these risk factors and urinary heart disease risk has been elucidated by the Framingham Heart study and other studies, which show that the major risk factors are addictive in predictive power. Accordingly, the total risk of a person can be estimated by a summary of the risk imparted by each of the major risk. Type 2 diabetes is of particular concern because it is also common and usually occurs in persons of advancing age, when multiple other risk factors co-exist. There is a growing consensus that most patients with diabetes mellitus, especially those with type 2 diabetes, belong to a category of high short-term risk when the risk factors of diabetic patients are summed, their risk often approaches that of patients (established) coronary heart disease [8]. Cigarette smoking has been established as a risk factor met only for lung cancer, emphysema, and bronchitis but also for coronary cerebral and peripheral vascular disease [7]. This association has been in many countries, among widely diverse ethnic groups, in both sexes, and across various adult age groups. In industrialized nations, cigarette smoking is a principal cause of preventable disease and premature death. Cigarette smoking is firmly established as a risk factor for coronary heart disease, peripheral vascular disease and stroke. One explanation for this relationship is that smoking is known to increase atherosclerosis. Atherosclerotic cardiovascular disease is the chief contributor to most death from smoking [9]. High blood pressure is a powerful risk factor for cerebrovascular disease as well as for coronary heart disease. An estimated 50 million people have high blood pressure, defined as a level equal to or greater than 140mmHg systolic pressure or 90mmHg diastolic, or as being on a regimen of antihypertensive medication [10]. Lipid profile is a lipid test that measures the levels of lipids such as total cholesterol, triglyceride (TG), high- density lipoprotein (HDL), low density lipoprotein (LDL) and very low density lipoprotein (VLDL) to assess risk of cardiovascular disease. Low density lipoprotein (LDL), an important risk factor for coronary heart disease, is made up of particles of various sizes and densities. Clinical studies have established that individuals with a small, dense LDL sub-fraction profile are likely to develop coronary heart disease [3]. These small dense LDL sub-fractions are more susceptible to oxidations than large, lighter ones and once oxidized, promote foam –cell formation, initiate endothelial dysfunction and thereby promote atherogenesis in a variety of ways. The aim of this work was to assess the prevalence of some cardiovascular risk factors among Ogoni and Ikwerre ethnic groups in Rivers State, Nigeria; and to provide an appropriate guideline or intervention for the risk reduction in the region. Also, to monitor progress in maintaining good health in the region. 2. Materials and Methods 2.1. Study Area The sample was collected from subjects of Ogonis and Ikwerres in Rivers State, Nigeria. The subjects consisted of males and females who were randomly sampled from Ogonis and Ikwerre ethnic groups. The sampling from Ogonis ethnic group was done at Elele. A total of 100 subjects were sampled amongst the Ogoni subjects while the Ikwerre subjects were 100 in number. 2.2. Physical Measurements Height was measured without shoes to the nearest cm using ruler attached to the wall, weight was measured to the nearest 0.1kg on an electronic scale with the subject wearing light indoor clothing and no shoes. The body mass index (BMI) was calculated as weight (kg) divided by the square of the height (m). After the subject had rested for at least 10 minutes in a supine position, systolic and diastolic blood pressure were taken three times, with two minute intervals between measurement, using an automatic ultrasound sphygmonanometer (Arteriosound), Roche Products, Welweyn Garden City, UK) (PH). Blood pressure was measured in the left arm using cuts of a size appropriate to the arm circumference; the average of the last two readings was used for the analyses. 2.3. Collection of Blood Sample Blood was collected by venepuncture. Blood for glucose was collected into fluoride oxalate bottle. The plasma for glucose determination was done by glucose oxidase method. 2.4. Determination of Fating Blood Sugar Fasting blood sugar was determined by enzymatic celorimetric method.
  • 3. Scientific Review, 2017, 3(11): 90-95 92 2.4.1. Principle Glucose oxidase catalyses the oxidation of glucose to give hydrogen penoxide and glucose acid. In the presence of hydrogen peroxidase the hydrogen peroxide is broken down and the oxygen released reacts with 4- aminophenrazone and phenol to form quinoneimine. The colour intensity determined by absorbance is proportional to the glucose concentration. Glucose + O2 + H2O Glucose Gluconic acid +H2O Oxidase 2.4.2. Procedure The blood samples were transfered into tubes and centrifuged for five minutes at 12000rpm using Gallenkamp centrifuge. The supernatants (plasma) were separated and arranged accordingly to the number on the tubes. Three set of test tubes were arranged in test tube rack and 20”l of standard, plasma and distilled water were transferred into separate test-tube that contained 2.0ml of glucose reagent each using micropipette, then, the contents were mixed and incubated in water bath for 10 minutes at 370 C. Thereafter, the absorbance of the samples was read against the reagent blank at 530nm using labtek electronic controlled photo colorimeter. Calculation – the concentration of fasting blood sugar was calculated using the formula. Glucose concentration = A sample X standard concentration A standard Where A sample = charge in absorbance of sample A standard = charge in absorbance of standard Standard concentration = 5.5 Mmol/L Reference range = 3.3-5.5 Mmol/L 2.4.3. Statistical Analysis From the population study, statistical analysis such as calculating mean, standard deviation, analysis of variance, t- test and risk score were done. 3. Results Results were obtained from a total of 200 subjects for fasting blood sugar and body mass index (BMI). 100 were Ikwerre and 100 Ogonis. These subjects had a history of diabetes type 2, and hypertension and smoking. The sub groups among the subjects were smokers, non-smokers, hypertensive, non-hypertensive, diabetes and non diabetes. Among the Ikwerre subjects, 66 (66%) were males and 34 (34%) were females; while among the Ogoni subjects, 62 (62%) were male and 38 (38%) were females. The ages for Ogoni males were between 35 years and 75 years, while that for the females was between 35 years and 69 years. The ages for Ikwerre males were between 35 years and 75 years. Among the Ogoni subjects, 22 were diabetics, 10 non-diabetics, 25 hypertensive, 23 smokers, 10 non-smokers, and 10 non-hypertensive. Among the Ikwerre subjects, 20 where diabetics, 11.non-diabetics, 19 smokers, 8 non-smokers, 32 hypertensive and 10-non- hypertensive. Means and SD of all physical parameters for Ogoni male and female. The analysis of the means and standard deviation of age, weight, height, Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP), pulse rate, Body Mass Index (BMI) are shown in Table 1. There were 62 male subjects with mean age of 59.09 ± 9.08 years and 38 female subjects with mean age of 50 ± 7.58 years. The mean age of the male subjects was significantly higher than the female subjects at (P.05). The mean weight and height of male subjects were 68.66 + 13.7kg and 1.57 + 0.19 meters, while the females were 71.48 + 11.97 and 1.59 + 0.12m respectively. There were not significant differences in means between the male and female Ogoni subjects at (P>.05). The mean SBP and DBP of male subjects were 127.61±32.93 mmHg and 94.19+23.44 mmHg while the female subjects were 119.87±29.8 mmHg and 86.19+ 18.72 mmHg. The mean pulse rate of male was 74.53 + 12.57 beats per minute while female was 75.47+ 10.28 beats per minute respectively. The mean BMI for female and male subjects were observed to be 26.36 + 6.74 and 26.38 + 10.01 Kg/m2 . BMI were also not significantly different at P>.05 between the male and female subjects.
  • 4. Scientific Review, 2017, 3(11): 90-95 93 Table-1. Results of the mean ± SD of all physical parameters for Ogoni males and females Perimeters Ogoni Males n=62 Mean + SD Ogoni females n=38 Mean + SD t-stat t - critical two- tail P-value Age (years) 59.09+ 9.08 50 ±7.58 5.398975977 1.986977622 1.23654806 S SBP (mmHg) 124.61+32.93 119.87+29.8 1.211434094 1.988610165 0.239809895 NS DBP (mmHg) 94.19+23.44 86.19+18.72 1.883311094 1.986377356 0.077342133 NS HT (m) 1.57+ 0.19 1.59+.12 -1.527620644 1.984467417 0.171815719 NS WGT (Kg) 68.66+13.19 71.84+11.97 -1.240403326 1.988610165 0.228603005 NS Pulse Rate(mms) 74.53+12.57 75.47+10.28 -0.40793794 1.986672942 0.698288119 NS BMI (Kg/m2 ) 26.38+10.09 26.36+6.74 0.008877181 1.984722076 0.993563054 NS SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI – Body Mass Index; NS – Not Significant; S – Significant 3.2. Mean and SD of Physical Parameters Measured for Ikwerre Male and Female The analysis of the means and standard deviation of age, weight, height, SBP, DBP, pulse rate and BMI measured for Ikwerre male and female are shown in table 2. There were 66 male subjects with mean age of 59.55 +9.75 years and 34 female subjects with mean age of 52.21 + 7.26 years. The mean age of the male subject was significantly higher than the female subjects at (P0.05). The mean weight and height of male subjects were 67.97+ 14.41kg and 1.59+ 0.13cm, while the female were 71.38 +10.28kg and 1.54 + 0.27cm respectively. The mean SBP and DBP for males subjects were 11.96 + 32.17 and 89.55 + 23.82 mmHg and SBP, DBP for female were 112.94±31.33 and 86.62±23.51 units regularly. The pulse rate for males was 73.92±13.79 beats per minute while for females, it was 73.24±16.39. Analysis of the blood measure revealed that the blood pressure in the (SDP and DBP) male subject were not significantly different from their female counterpart. However, the mean BMI for female and male subjects were observed to be 21.13+6.69 and 20.26 + 5.55kg/m2 respectively. They are also not significantly different at P=.05. Table-2. Mean and SD of physical parameters measured for Ikwerre males and females Perimeters Ikwerre Males n-66 Mean + SD Ikwerre Female n-34 Mean + SD t-start t - critical P-value Age 59.55+ 9.75 52.21 +7.26 4.243506183 1.9882691 P=.05 NS SBP 112.96+32.17 112.94+31.53 0.001994817 1.99546776 P=.05 NS DBP 89.55+23.82 86.62+23.57 0.587309989 1.99546776 P=.05 NS HT 1.59+ 0.13 1.54+0.27 0.289090328 1.99394435 P=.05 NS WGT 67.95+14.41 71.38+10.28 1.373492784 1.9872914 P=.05 NS Pulse 73.92+13.79 73.24+16.39 0.209841507 2.00171598 P=.05 NS BMI 20.26+5.55 21.13+6.69 0.648637525 2.00246632 P=.05 NS SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI – Body Mass Index; NS – Not Significant; S - Significant
  • 5. Scientific Review, 2017, 3(11): 90-95 94 Table-3. Comparism of SD of physical parameters measured in the various Categories of CAD risk factors among Ogoni subjects SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI – Body Mass Index; NS – Not Significant;– Significant The analysis of the means and SD of age, weight, height, SBP, DBP, pulse rate and BMI are shown in Table 3. The mean ages for diabetics, non-diabetics, smokers, non-smokers, hypertensive and non-hypertensive were significant at (P=.05). SBP, DBP, height, weight and BMI had no level of significance. Table- 4. Comparism of means and SD of physical parameter measured in the various categories of CAD RFactors. among Ikwerre subjects SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI –Body Mass Index; NS – Not Significant; S – Significant The analysis of the means and SD of age, weight, SDP, DBP, pulse BMI, are shown in Table 4. The mean age of diabetics, non-diabetics, smokers, non-smokers, hypertensive and non-hypertensive are 57+ 9.19, 57.25+ 10.00, 60.06 + 11.99. 56.51 +9.92, 58.82±8.30 and 56.37± 10.18 years. The means of SBP and DBP were significant at (P=.05). The means of height and weight were not significant at (P=.05). The mean BMI was not significant at (P=.05) 3.5. Comparison of Mean and SD of All Physical Parameters for Ogoni and Ikwerre Ethnic Populations The analysis of the physical parameters is shown Table 5. SBP and DBP are 126.17 + 44.63 mmHg and 109.85+ 31.34 mmHg and 105.25 + 25.94 mmHg and 91.95± 24.70 mmHg. The blood pressure were significantly different (P=.05) between two populations. The mean age for Ogoni and Ikwere are 55.94+ 9.44 (years) and 5.7.15+ 9.65 years respectively. Height and weight are 1.60 +0.12cm and 1.59 +0.34kg and 71.88+ 12.34cm and 70.12 + 11.36kg respectively. The mean BMI were 28.54 +6.67kg/m2 for Ikwerre. The means were significantly different at P=.05 between the two populations. The pulse rate for Ogoni and Ikwerre are77.45 + 11.29 beats per minute’s and73.8 + 14.84 beats per minutes respectively. There was no significant different at P=.05 in the means between the two populations. Parameters DM N=22 Non Dm n=10 Smokers n=23 Non smokers n=16 Hypertensive n=15 Non-hypertensive n=10 P-value Age 55.06 +10.34 57.44 +6.12 60.13 +10.15 54.66 + 9.58 55.90 +10.31 55.95 +9.52 P=.05 NS SBP 147.66 +22.54 87.97 +1.55 103.78 +34.24 132.86 +32.02 154.22 +8.89 87.43 +11.65 P=.05 NS DBP 120.7 +18.32 77.78 +9.29 90.87 +28.67 109.55 +23.61 125.35 +11.23 77.5 +9.45 P=.05 NS HT 1.613 +0.12 1.57 +0.12 1.57 +0.13 1.61 +0.12 1.61 +0.12 1.58 +0.13 P=.05 NS WGT 71.8 +13.84 72.03 +9.26 70.69 +8.24 72.23 +13.34 72.85 +11.16 70.55 +13.83 P=.05 NS Pulse 78.98 +10.86 74.72 +11.69 80.48 +11.59 76.55 +11.12 79.12 +10.98 75.14 +11.45 P.05 NS BMI 28.44 +6.54 28.71 +6.44 29.32 +5.80 28.31 +6.68 28.45 +6.70 28.66 +6.23 P=.05 NS Parameter Diabetics n=20 Non- diabetics n=11 Smokers n=19 Non- smokers n=8 Hypertensive n=32 Non- hypertensive n=10 P-value Age 57 +9.19 57.25 +10.00 60.06 +11.99 56.51 +9.92 58.82 +8.30 56.37 +10.18 P=.05 NS SBP 140.89 +1 9.29 90.00 +19.17 107.22 +33.13 110.43 +31.23 150 +9.16 90.96 +17.0 P=.05 NS DBP 113.72 +23.73 78.03 +12.26 87.77 +23.09 92.87 +25.54 124.69 +12.89 76.54 +8.74 P=.05 NS HT 1.59 + 0.15 1.59 +0.42 1.47 +0.17 1.58 +0.14 1.61 +0.16 1.54 +0.14 P=.05 NS WGT 70.74 +10.92 69.72 +11.70 66.94 +13.41 70.82 +10.82 70.31 +11.10 70.03 +11.56 P=.05 NS Pulse 76.87 +10.57 68.46 +20.09 72.56 +19.33 71.56 +17.14 77.13 +9.36 69.21 +19.73 P=.05 NS BMI 24.72 +6.55 24.67 +8.02 19.94 +9.98 25.73 +6.38 23.61 +6.50 25.20 +7.84 P=.05 NS
  • 6. Scientific Review, 2017, 3(11): 90-95 95 Table-5. Comparison of mean and SD of physical parameters measures for Ogoni and Ikwerre ethnic populations Parameters Ogoni n= 100 Ikwerre n=100 P-value Age 55.92+ 9.94 57.15+9.65 P=.05 NS SBP 126.17+ 34.63 109.85+31.34 P=.05 NS DBP 105.25+25.94 91.95+24.76 P=.05 NS HT 1.60+ 0.12 1.59+0.34 P=.05 NS WGT 71.88+12.34 70.12+11.36 P=.05 NS Pulse 77.45+11.29 73.8+14.84 P=05 NS BMI 28.54+6.47 24.69+7.45 P=.05 NS SBP – Systolic Blood Pressure; DBP – Diastolic Blood Pressure; HT – Height; WGT – Weight; BMI – Body Mass Index; NS – Not Significant; S – Significant 4. Discussion This study evaluated cardiovascular risk profile of male and female among the Ogonis and Ikwerre in Rivers State. Several known risk factors were employed to assess the prevalence of some risk factors among the two ethnic groups. Notable among the factors were diabetes, hypertension, body mass index, age and smoking status. Mean SBP and DBP were also significantly high at (P=.05), in the various categories of CAD risk factors among Ogoni and Ikwerre subjects. BMI was significantly high for Ogonis (28.54 +0.47) than Ikwerre (24.69+ 7.45) at (P=.05). A high BMI scores indicates greater risk for developing serious health problems, such as heart disease, stroke and diabetes. Mean BMI distribution of subjects according to various categories of risk factors for CAD in Ogoni males showed that there was a strong relationship between the BMI as a risk factor for the categories of risk factor such as diabetics, smokers and hypertensive. In these categories, then mean BMI were as high as 47.89, 44.73 and 45.37 for type 3 obesity, which shows a high risk for cardiovascular disease. The females were not much affected since none of them was classified as a smoker in this study, but a few of the hypertensive and diabetes were classified under the type II obesity; which shows that the males in Ogoni are more prone to CAD than the females. The reverse was the case among the Ikwerre ethnic group, the females had a higher mean BMI for diabetics and hypertensive (40.82) for type III obesity; as opposed to the males who had no value for type III obesity. 5. Conclusions Based on this study, three categories of cardiovascular risk factors were assessed to determine the prevalence of some cardiovascular risk factors among the Ogonis and Ikwerres. The mean values for glucose, body mass index, and age were all significantly high at (P=.05). Application of the risk prediction score based on Framingham Heart Study showed that (186%) of the study populations were at high risk of developing cardiovascular disease. Smoking, hypertension, diabetes were observed to have significant effects when the body mass index was considered at (P=.05). REFERENCES [1] Roderick, P. J., Jones, F., Raleigh, V. S., Mcgeown, M., and Mallick, N., 1994. "Population need for renal replacement therapy in thames regions: Ethnic dimension." Britain Medical Journal, vol. 309, pp. 1111- 1114. [2] Balarajan, R., 1991. "Ethnic differences in mortality from islamic heart disease and cardiovascular disease in England and Wales." Britain Medical Journal, vol. 302, pp. 560-564. [3] Epstein, F. H., 1996. "Cardiovascular disease epidemiology." Circulation, vol. 93, pp. 1755-1764. [4] Zhu, B. and Parmley, W. W., 1995. "Hemodynamic and vascular effects of active and passive smoking." American Heart Association Journal, vol. 130, pp. 1270-1275. [5] Moss, S. E., Klern, R., and Klein, B. E., 1991. "Cause specific mentality in a population based study of diabetes." American Journal of Public Health, vol. 81, pp. 1158-1162. [6] Grendy, S., Pasternak, M. R., and Greenland, P., 1999. "Assessment of cardiovascular risk factor, assessment equations." Journal of American College of Cardiology, vol. 34, pp. 1248-1359. [7] Eckel, R. H., 1997. "Obesity and heart disease, a statement for healthcare professional from the nutrition committee." American Heart Association Circulation, vol. 96, pp. 4348-3250. [8] Haffner, S. M., Lehfo, S., and Ronnemaa, T., 1998. "Mortality from coronary heart disease in subjects with type 2 diabetes and in non-diabetics subjects with and without prior myocardial Infarction." New England Journal of Medicine, vol. 339, pp. 229-239. [9] Tell, G. S., Polak, J. F., Ward, B. J., Savage, P. J., and Robbins, J., 1994. "Relation of smoking with canetid anteny wall thickness and stenosis in older adults." American Heart Association, vol. 90, pp. 2905-2908. [10] Kannel, W. B. and Wilson, P. F., 1995. "Factors that alternate the female coronary disease advantage." Archeology of Internal Medicine, vol. 55, pp. 57-61.