SA JOURNAL OF DIABETES & VASCULAR DISEASE
RESEARCH ARTICLE
VOLUME 15 NUMBER 1 • JULY 2018
9
needed for institution of appropriate primary prevention measures
in patients at risk for diabetes.
The Framingham risk-assessment tool, which was developed
in the general population and validated in people with diabetes,
is used to estimate a person’s 10-year risk of developing CVD in
order to identify high-risk individuals for primary prevention.
10
An individual’s risk score can aid clinical decision making on how
intensively to intervene in lifestyle-modification strategies, when
to include drug therapy,
10
and also to assess the efficacy of these
interventions.
This study compared the cardiovascular risk scores of type 2
diabetes subjects on treatment, with those of individuals with the
metabolic syndrome, and healthy controls. It examined the impact
of glycaemic control and lifestyle on cardiovascular risk reduction in
adult Nigerians.
Methods
This was a cross-sectional study of 40 adult men and women with
type 2 diabetes mellitus (DM), 40 adult men and women with
the metabolic syndrome, and 40 age- and gender-matched males
and females who were recruited as healthy controls. The Ethical
Research and Review Committee of the Lagos University Teaching
Hospital (LUTH) approved the study protocol, and informed consent
was obtained from the participants.
The study participants were patients attending the Diabetic
Clinic and the Obesity and Metabolic Clinic of the Lagos University
Teaching Hospital. Adult men and women between the age
of 30 and 70 years who agreed to participate in the study were
consecutively recruited. Socio-demographic and clinical data were
obtained from the participants using a structured questionnaire.
Anthropometric measurements such as weight, height, waist and
hip circumference and blood pressure readings were taken. Lipid
profile results were also determined.
The diagnosis of type 2 diabetes was based on the WHO
criteria,
16
and the diagnosis of the metabolic syndrome was based
on the NCEP-ATPIII criteria.
17
Subjects who did not meet the criteria
for the metabolic syndrome were matched for age and gender with
the cases and recruited as controls.
The inclusion criteria included adult males and females between
30 and 70 years of age who had been diagnosed as having DM
by the WHO criteria,
16
with a blood glucose level controlled with
diet and hypoglycaemic drugs, and non-diabetics who had the
metabolic syndrome, described by the presence of any three of
the following: abdominal circumference ≥ 102 cm in males or
≥ 88 cm in females, high-density lipoprotein cholesterol (HDL-C)
< 1.03 mmol/l (< 40 mg/dl) in males or < 1.3 mmol/l (< 50 mg/
dl) in females, triglycerides (TG) ≥ 1.7 mmol/l (≥ 150 mg/dl), blood
pressure ≥ 130/85 mmHg or the patient receiving hypotensive
treatment, and fasting glycaemia > 6.1 mmol/l (> 110 mg/dl).
17
Pregnant women were excluded from the study.
The study participants reported on the morning of the study
after an overnight (10–12 hours) fast; 5 ml of venous blood was
collected from the ante cubital vein and transferred into plain tubes
for lipid profile assay, into fluoride oxalate tubes for glucose analysis,
and into EDTA tubes for glycated haemoglobin (HbA
1c
) assay.
Abdominal obesity was determined by measurement of the
waist circumference. The measurement was taken using an inelastic
tape, at the end of several consecutive natural breaths, at a level
parallel to the floor, midpoint between the top of the iliac crest and
the lower margin of the last palpable rib in the mid-axillary line.
18
The hip circumference was measured at a level parallel to the floor,
at the largest circumference of the buttocks.
18
Blood pressure was determined using the Accoson’s mercury
sphygmomanometer (cuff size 15 × 43 cm). The subjects were
seated and rested for five minutes before measurement. Systolic
blood pressure was taken at the first Korotkoff sound and diastolic
at the fifth Korotkoff sound.
19
Total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C),
HDL-C and triglyceride levels were determined on fasting serum
samples, and glucose concentrations were determined from fasting
fluoride oxalate plasma using reagents from Randox Laboratories
Ltd (Antrim, UK, BT 29 4QY) on a semi-automatic biochemistry
analyser (BS3000P-Sinnowa Medical Science and Technology Co,
Ltd, Nanjing, China, 211135). An ion-exchange chromatographic-
spectrophotometric method was used for HbA
1c
determination,
20
with reagents from Fortress Diagnostics, UK. The Framingham risk
score was estimated from a cardiovascular disease risk calculator
based on the equation from the Framingham heart study.
21
Table 1.
Gender and age distribution of the study participants
Characteristics
Subjects
with type 2
diabetes
n
= 40 (%)
Subjects with
the metabolic
syndrome
n
= 40 (%)
Healthy
controls
n
= 40 (%)
p
-value
Gender
Males
13 (32.55)
13 (32.55)
13 (32.55)
1.00
Females
27 (67.5)
27 (67.5)
27 (67.5)
Age (mean ± SD)
55.65 ± 10.54 54.87 ± 9.80 56.17 ± 10.2 0.78
Age group (years)
30–40
5 (12.5)
5 (12.5)
7 (17.5)
0.83
41–50
14 (35)
15 (37.5)
12 (30)
51–60
18 (45)
18 (45)
19 (47.5)
61–70
3 (7.5)
2 (5)
2 (5)
Table 2.
Socio-demographic characteristics of the study participants
Characteristics
Subjects with
type 2 diabetes
n
= 40 (%)
Subjects with
the metabolic
syndrome
n
= 40 (%)
Healthy
controls
n
= 40
(%)
p
-value
Level of Education
None
2 (5)
0 (0)
1 (2.5)
0.075
Primary
9 (22.5)
3 (7.5)
5 (12.5)
Secondary
13 (32.5)
11 (27.5)
6 (15)
Tertiary
6 (15)
26 (65)
28 (70)
Exercise
Yes
5 (12.5)
6 (15)
4 (10)
0.81
No
35 (87.5)
34 (85)
36 (90)
Alcohol
Yes
11 (27.5)
6 (15)
6 (15)
0.64
No
29 (72.5)
34 (85)
34 (85)
Smoking
Yes
0 (0)
2 (5)
3 (7.5)
0.86
No
40 (100)
38 (95)
37 (92.5)