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Indices of metabolic syndrome in 534 apparently healthy traders

Background: Metabolic Syndrome (MS) increases the risk of developing type-2 diabetes (DM2) and cardiovascular diseases (CVD) and it is thought to be prevalent in Nigeria. This study aims at determining the prevalence of MS and its component risk factors among apparently healthy traders in a local ma...

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Published: 2012-02
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/8259
042 |a dc 
720 |a Charles-Davies, M. A.  |e author 
720 |a Arinola, O. G.  |e author 
720 |a Fasanmade, A. A.  |e author 
720 |a Olaniyi, J. A.  |e author 
720 |a Oyewole, O. E.  |e author 
720 |a Owolabi, M. O.  |e author 
720 |a Hassan, O. O.  |e author 
720 |a Ajobo, M. T.  |e author 
720 |a Adigun, K.  |e author 
720 |a Akinlade, K. S.  |e author 
720 |a Adebusuyi, J. R.  |e author 
720 |a Ebesunun, M. O.  |e author 
720 |a Popoola, O. O.  |e author 
720 |a Okunbolade, W.  |e author 
720 |a Fabian, U. A.  |e author 
720 |a Rahamon, S. K.  |e author 
720 |a Ogunlakin, M. A.  |e author 
720 |a Agbedana, E. O.  |e author 
260 |c 2012-02 
520 |a Background: Metabolic Syndrome (MS) increases the risk of developing type-2 diabetes (DM2) and cardiovascular diseases (CVD) and it is thought to be prevalent in Nigeria. This study aims at determining the prevalence of MS and its component risk factors among apparently healthy traders in a local market in Ibadan, Nigeria. Methods: 534 apparently healthy traders from a local market in Bodija, Ibadan, Nigeria aged (18–105) years with neither DM2 nor CVD were participants of a cohort study on risk assessment of type 2 diabetes and dementia in Nigerians with metabolic syndrome. The International Diabetes Federation (2005) and the World Health Organisation (1998) criteria were used for MS and BMI respectively. Anthropometric indices (weight, height, body mass index (BMI), percentage body fat (PBF), waist and hip circumferences (WC & HC) and their ratio (WHR), waist circumference to height ratio (WHT)) and blood pressure (BP) were obtained by standard methods. Blood samples (6 ml) were obtained for the determination of glucose (FPG), total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-C) by enzymatic methods while low density lipoprotein cholesterol (LDL-C) was calculated. Descriptive statistics, Chi-square test and ANOVA were among the analyses conducted. Results: 301 (56.4%) of traders studied were overweight (176, 33.0%) or obese (125, 23.4%) while 17 (3.4%) and 125 (40.4%) were underweight and normal weight respectively. The prevalence of MS and obesity were 87 (16.3%) and 125 (23.4%) respectively. There was significant association between obesity and MS (p < 0.05). Both MS and obesity were significantly associated with gender (p < 0.05). The prevalence of MS and obesity was higher in female (20.9%; 31.0%) than male traders (6.5%; 7.1%) respectively. The prevalence of MS increased from normal weight (8.3%) to overweight (18.8%) to obesity (28.8%). There were significantly higher differences in age, BP(systolic and diastolic), weight, BMI, WC, HC, WHT, WHR, and PBF but lower difference in height when overweight/obese groups were compared with normal weight group (p < 0.05). TC and LDL-C were significantly higher in only obese than normal weight traders. However, FPG, TG and HDL-C were similar in all groups (p >0.05). Conclusion: There is high prevalence of MS and obesity among Nigerian traders. Female gender, hypercholesterolemia, hypertension, increasing age, general and abdominal obesity appear to be important metabolic risk factors of CVD and not DM2 among Nigerian traders. Health care strategies for effective modulation of diet and lifestyle are needed urgently. In addition, screening programs for indices of MS in all Nigerians irrespective of BMI could be considered. 
024 8 |a 1548-6648 
024 8 |a ui_art_charles-davies_indices_2012 
024 8 |a Journal of the US-China Medical Science 9(2), pp. 91-100 
024 8 |a http://ir.library.ui.edu.ng/handle/123456789/8259 
653 |a Metabolic syndrome 
653 |a Cardiovascular diseases 
653 |a Type 2 diabetes mellitus 
653 |a Abdominal adiposity 
653 |a Dyslipidaemia 
653 |a Body mass Index 
245 0 0 |a Indices of metabolic syndrome in 534 apparently healthy traders