

CARDIOVASCULAR JOURNAL OF AFRICA • Volume 28, No 3, May/June 2017
152
AFRICA
was noted among the hypertensive subjects, compared to 10% in
non-hypertensives. This was half that reported in Ghana among
hypertensive subjects,
17
although higher than the 13.5% reported
in Cameroon.
28
Hypertensive patients were also more likely to
be overweight and obese than non-hypertensive subjects, with
prevalence rates of 33.1 and 42.8%, compared to 30.5 and 16.8%,
respectively.
All other studied risk factors, such as hypercholesterolaemia,
abdominal adiposity (WC
>
88 cm for women and 102 cm for
men), and excessive alcohol consumption were more prevalent
among hypertensive subjects, except for smoking. The high
prevalence of cardiometabolic risk factors reported in our study
is similar to reports by Akintunde
et al
. among university staff
in Nigeria.
20
Besides factors such as a high-salt diet, low physical
activity and high socio-economic status (not examined in our
study), these are established risk factors for hypertension, which
in itself is a major risk for CVD. Urbanisation, among other
determinants, has largely been queried.
8,19,29
Our study showed that all risk factors studied were most
prevalent among participants with diabetes. About three out
of four diabetic subjects had hypertension. Other studies have
reported a high prevalence of high blood pressure among diabetic
subjects in Cameroon
30
and Tanzani,
31
although lower than in ours.
The higher prevalence of overweight, obesity (abdominal and
general)asreflectedinWCandmeanBMI,hypercholesterolaemia,
alcohol abuse and smoking, being more common in diabetic than
non-diabetic subjects, is however an expected finding, as they all
have individual and associative effects in predisposition to the
development of diabetes.
8,30
Therefore, while diabetes in itself
has been demonstrated to be an independent cardiovascular risk
factor,
32
the impact of its association or cumulative effect with
other traditional risk factors in the development, progression,
morbidity and mortality linked with CVDs cannot be over-
emphasised.
Limitations and strengths of the study
Our study has several limitations that deserve mention. First the
hospital base of the recruitments and the selected nature of the
participants could have increased the chances that those included
were at high risk for metabolic risk factors, which therefore could
account for the high prevalence of cardiometabolic risk factors
in our study. Secondly, the method of diagnosis of hypertension
could be subject to debate, but it has been clearly evidenced by
Burgess
et al.
that failure to carry out multiple measurements
to confirm the diagnosis may lead to false positives.
33
Thirdly,
quantity or concentration of alcohol in the local beer may
vary from one country to another, and we could not assess
non-industrial alcoholic beverages. Lastly, although the overall
sample size was large, the number of patients contributed from
each participating centre within the countries tended to be small,
therefore precluding meaningful centre-level analysis.
In spite of these limitations, the multi-centre, multi-national
character of this study increased our chances of adequately
exploring the prevalence of cardiometabolic risk factors in the
participating countries, and demonstrating evidence of the
growing cardiovascular risk factors in this region plagued with
communicable diseases. The use of well-trained data collectors
(medical practitioners) also gave confidence in the measured
parameters.
Conclusions
This study reports alarminglyhighprevalences of cardiometabolic
risk factors among adults presenting at urban and semi-urban
hospitals in selected countries in SSA, which is in line with IDF
projections of NCDs (hypertension and diabetes mellitus) in
the region. It also raises the question of the influence of rapid
urbanisation on the development of risk factors for imminent
cardiovascular and metabolic diseases. This has considerable
public health impact for an already economically disadvantaged
setting to design new methods or further strengthen existing
measures and interventions for the control of chronic diseases
in the region.
We thank all the investigators who participated in data acquisition: from
Madagascar: Rakotoarisoa Bodosoa, Raharimanana Lanto, Rakotoarimanana
Jean Jacques, Ratavilahy Roland, Andrianandrasana Hery, Rabarijoelina
Claude, Rakotoarisoa Holiarivelo, Johanes Abel, Rakotoniaina Beatrice,
Razafindramiandra Jacky, Raheliarisoa Julia, Rabetrano Alice, Rasolonjatovo
Methouchael, Miandrisoa Rija Mikhael, Rakotozafy Joseline, Raveloarison
Marguerite, Ramiandrisoa Bodovololona, Randriamiarisoa Ny Aina,
Raniriharisoa Voahirana, Rasolofomanana Ndrina, Rasamimanana Nivo
Nirina and Randriantsoa Eric; from Cameroon: Nzundu Anne, Mfulu Papy,
Mumbulu Erick, Christian Nsimba Luzolo, Mr Boderal Fundu, Tswakata
Masam, Iwnga Kabenba, Lepica Bonpeka, Murielle Longokolo, Tondo,
Bandubola Dedie, Kahamba Jean Louis, Massamba Mp Cla, Loshisha-Armod,
Bhuvem, Nzambi Mpvngv Stephane, Jimm Pierre K and Toure Wenana
Parfait; from the Democratic Republic of Congo: Toko Olivier, Nzundu Annie,
Tswakata Masam, Musibisoli Dieudonne, Longokolo Mireille, Bandubola
Dedie, Kahamba Jean-Louis, Massamba Mpela and Loshisha Arnold.
We also thank the staff of the Clinical Research Education, Networking
and Consultancy (CRENC), Cameroon for their assistance in data analysis
and interpretation, and for drafting the manuscript. We acknowledge funding
support from Sanofi Aventis pharmaceuticals.
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