Tropical Doctor > Volume 38, Number 4 > Pp. 224-226

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Short Reports

Frequency and determinants of the metabolic syndrome in apparently healthy adult Nigerians

Kolawole Wasiu Wahab MBBS FMCP   ^*    Mahmoud Sani MBBS FWACP      Maruf Gbadamosi MBBS      Mahmoud Yandutse BSc   

^* Department of Medicine, University of Ilorin Teaching Hospital, PMB 1459, Ilorin, Kwara 240001, Nigeria; Department of Medicine, Aminu Kano Teaching Hospital, Kano, Kano State, Nigeria; Department of Medicine; Department of Chemical Pathology, Federal Medical Centre, Katsina, Nigeria

Correspondence to: Kolawole Wasiu Wahab Email: kwwahab{at}yahoo.com

	SUMMARY

Top SUMMARY Introduction Patients and methods Results Discussion References

 
Non-communicable disease conditions such as the metabolic syndrome further strain the already insufficient health resources in Africa, where communicable diseases such as malaria and HIV/AIDS are still causing significant morbidity and mortality. We studied the frequency and determinants of the syndrome in apparently healthy Nigerian volunteers in order to provide a basis for the establishment of a prevention programme.

	Introduction

Top SUMMARY Introduction Patients and methods Results Discussion References

 
Metabolic syndrome is an emerging non-communicable health problem in the developing countries. Individuals with the syndrome are at a higher risk of developing type 2 diabetes,¹ while its presence is associated with increased risk of fatal and non-fatal cardiovascular disease.² Based on the Adult Treatment Panel III (ATP III) criteria,³ the prevalence of the syndrome has been found to vary between communities and countries. It was reported to be 26.6% among Mexican men and women aged 20–69 years,⁴ 21.8% in the United States with 57% higher prevalence in African American women⁵ and 30% among black South African corporate executives.⁶

The emergence of non-communicable disease conditions such as the metabolic syndrome in Africa – where communicable diseases like malaria and HIV/AIDS are still causing significant morbidity and mortality – will put a strain on the already insufficient health resources. We studied the frequency and determinants of the syndrome in apparently healthy Nigerian volunteers in order to establish a basis for a public health education programme, which could also serve as a template for further research on the subject.

	Patients and methods

Top SUMMARY Introduction Patients and methods Results Discussion References

 
This descriptive cross-sectional study was carried out in Katsina town in northwestern Nigeria from May to June 2006. Apparently healthy subjects who volunteered to participate in the study were consecutively recruited from local residents, hospital staff and the relatives of medical and surgical inpatients. They were screened at the Federal Medical Centre, Katsina, a tertiary health institution that serves as a referral centre for all the primary and secondary health institutions in Katsina State.

Information was obtained in a standardized manner using a pre-tested questionnaire. We recorded the weight, height, waist circumference and body mass index of each subject. The blood pressure was measured with a mercury sphygmomanometer in the left arm using the appropriate-sized cuff with the subject comfortably seated after at least a 5-minute rest. Venous samples were collected in order to estimate plasma glucose, triglyceride, total cholesterol and high-density and low-density lipoprotein (HDL, LDL) fraction after an overnight fast of 10–12 hours. The samples were analysed at the central laboratory of the hospital by the same medical laboratory scientist. Glucose was estimated using the glucose oxidase method. The plasma cholesterol and triglyceride were measured enzymatically. The HDL cholesterol was determined after the precipitation of the LDL fraction with dextran sulphate-magnesium.⁷

Metabolic syndrome was defined using the ATP III criteria, i.e. a subject with three of the following – truncal obesity, hypertension, impaired glucose tolerance, hypertriglyceridaemia and low HDL cholesterol – fulfilled the criteria for the diagnosis of the syndrome.

	Results

Top SUMMARY Introduction Patients and methods Results Discussion References

 
A total of 321 subjects volunteered for the study of whom 300 had complete data for analysis. There were 129 men and 171 women (ratio 1:1.3); and their ages ranged from 17–75 (mean 37.6 ± 10.6) years.

Table 1 shows the clinical, anthropometric and metabolic characteristics of the subjects. The overall mean BMI was 26.0 ± 5.8 kg/m² with the women having a significantly higher mean BMI of 27.5 ± 6.5 kg/m² compared to 24.1 ± 4.0 kg/m² in the men (P < 0.0001). The mean waist circumference and fasting serum total cholesterol were also significantly higher in the women (97.3 versus 87.6 cm, P = 0.0003 and 182.3 versus 172.8 mg/dL, P = 0.03, respectively). A history of hypertension was present in 16% and was also more common in the women (20.5% versus 10.1%, P = 0.02). Fourteen (4.7%) were current smokers with a significantly higher percentage among the men (8.5% versus 1.8%, P = 0.006). Overall, the mean HDL cholesterol was 45.3 ± 21.7 mg/dL. The mean HDL-cholesterol (HDL-c) was significantly higher in the women (49.2 ± 25.1 mg/dL versus 40.1 ± 14.6 mg/dL, P < 0.0001). Twenty-two percent (22%) of the subjects fulfilled the criteria for metabolic syndrome with a significantly higher frequency of 30.4% in females compared to 10.9% in males (Table 2).

View this table: [in this window] [in a new window]   Table 1 Characteristics of the 321 volunteers (values are mean ± standard deviation and frequency [percentage])

 

View this table: [in this window] [in a new window]   Table 2 Frequency of metabolic syndrome and the various components

 
In multivariate analysis, the odds of having the syndrome in the presence of some baseline variables were as follows:

• being female 1.6 (confidence interval [CI] = 1.30–1.86, P < 0.0001);
  
• having a history of diabetes 8.03 (CI = 2.13–30.18, P = 0.001);
  
• having impaired fasting glucose 6.85 (2.43–19.34, P < 0.001);
  
• a history of hypertension 3.59 (CI = 2.17–5.93, P < 0.0001);
  
• generalized obesity 4.97 (CI = 3.20–7.73).
  

The odds were increased 3.48 (CI = 2.24–5.41, P < 0.0001) if the subject had a systolic blood pressure of >140 mmHg and by 4.24 (CI = 2.77–6.47, P < 0.0001) if they had a diastolic blood pressure of >90 mmHg.

	Discussion

Top SUMMARY Introduction Patients and methods Results Discussion References

 
The overall frequency is comparable to the 21.8% reported in the USA,⁵ but lower than the 30% reported in black South African corporate executives,⁶ using the same ATP III criteria. This is probably because the latter study was purely on corporate executives who were already likely to be at risk of developing the syndrome due to the sedentary nature of their jobs. However, our subjects were unselected.

Although the frequency of abdominal obesity in our women (67.3%) is comparable to the 62.1% reported in African American women in the USA,⁵ the higher frequency of metabolic syndrome in our female subjects (30.4%) is possibly as a result of the fact that they had a significantly higher frequency of low HDL-c compared to the male subjects. Using the ATP III criteria, Gupta et al. also reported a higher prevalence rate of 47.8% in women compared to 36.2% in men.⁸

Our results show that the odds of having the syndrome are increased in women and in the presence of generalized obesity, systolic or diastolic hypertension. Also, the risk is increased about eight-fold in those with a history of diabetes mellitus and impaired fasting glucose increased the odds by about seven-fold.

These findings underline the need to take a holistic approach in the management of patients with any cardiovascular risk factor as the presence of one may be a pointer to their having an underlying metabolic syndrome. To stem the tide of this non-communicable health condition, we need to provide health education at all levels. As prevention is paramount, there is a need to promote a healthy lifestyle in our communities, including heart-healthy diets and increased physical activity.

	References

Top SUMMARY Introduction Patients and methods Results Discussion References

 

1. Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome. An American Heart Association/ National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005;112:2735–52[Free Full Text]
2. Dekker JM, Girman C, Rhodes T, et al. Metabolic syndrome and 10-year cardiovascular disease risk in the Hoorn Study. Circulation 2005;112:666–73[Abstract/Free Full Text]
3. Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). Final report. Circulation 2002;106:3143–421[Free Full Text]
4. Aguilar-Salinas CA, Rojas R, Gomez-Perez FJ, et al. High prevalence of metabolic syndrome in Mexico. Arch Med Res 2004;35:76–81[Medline]
5. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults. Findings from the Third National Health and Nutrition Examination Survey. JAMA 2002;287:356–9[Abstract/Free Full Text]
6. Ker JA, Rheeder P, Tonder RV. Frequency of the metabolic syndrome in screened South African corporate executives. Cardiovasc J South Afr 2007;18:30–3
7. McNamara JR, Schaefer EJ. Automated enzymatic standardized lipid analyses for plasma and lipid lipoprotein fractions. Clin Chim Acta 1987;166:1–8[Medline]
8. Gupta R, Sarna M, Thanvi J, Rastogi P, Kaul V, Gupta VP. High prevalence of multiple coronary risk factors in Punjabi Bhatia community: Jaipur Heart Watch-3. Ind Heart J 2004; 56:646–52[Medline]

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This Article Abstract Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Wahab, K. W. Articles by Yandutse, M. Search for Related Content PubMed PubMed Citation Social Bookmarking                      What's this?