eng Science and Education Publishing American Journal of Clinical Medicine Research 2328-403X 2014-12-21 2 6 106 110 10.12691/ajcmr-2-6-1 AJCMR2014261 article Mohd Aznan Md Aris 1 2 3 Muhammad Muzaffar Ali Khan Khattak mkbiol@yahoo.com 4 5 6 Zamzila Abdullah 7 Razman Mohd Rus 8 And Samsul Draman 8 Department of Family Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, International Islamic University, Malaysia, Jalan Sultan Ahmed Shah, Bandar Indera Mahkota Kuantan, Pahang Darul Makmur, MALAYSIA Non Communicable Diseases Research Unit, Kulliyyah of Medicine, International Islamic University Malaysia (IIUM) Jalan Sultan Ahmad Shah, Bandar Indera Mahkota, Kuantan, Pahang Darul Makmur; Malaysia. Department of Basic Health Sciences, Kulliyyah of Medicine, Jalan Sultan Ahmed Shah, Bandar Indera Mahkota Kuantan, Pahang Darul Makmur, MALAYSIA Department of Community Medicine, Kulliyyah of Medicine, Jalan Sultan Ahmed Shah, Bandar Indera Mahkota Kuantan, Pahang Darul Makmur, MALAYSIA Several studies have demonstrated that adiponectin has strong association with metabolic syndrome and its factors like obesity, insulin resistance, type 2 diabetes, dyslipidemia and coronary artery disease. A total 152 subjects were registered in this study. Among the respondents 76 were with metabolic syndrome (based on the criteria of the International Diabetes Federation (IDF) world-wide definition) and another 76 matching healthy respondents. The factors which were studied for possible differences and association include central obesity (body mass index (BMI) & waist circumference (WC), hypertension (systolic blood pressure (SBP), diastolic blood pressure (DBP), dyslipidemia (total cholesterol (Tc), high density lipoprotein Cholesterol (HDL-c), low density lipoprotein Cholesterol (LDL-c), Triglyceride (TG) and Adiponectin (AD), fasting plasma glucose and history of smoking. The data collected was statistically analyzed using SPSS statistical software version 12.0. Two tests were performed including paired t-test and Pearson correlation analysis. The collected data revealed some interesting differences for the healthy and metabolic syndrome respondents. There were significant (P<0.01) differences for central obesity and hypertension. There were also significant (P<0.01, P<0.1, P<0.01) differences for TG, HDL and fasting plasma glucose. More importantly, AD concentration was significantly (P<0.05) higher in normal healthy respondents. The AD showed strong negative association (r = - 2.91, P<0.001) with FBG and positive association (r = 2.89, P<0.001) with HDL-c. The present study provides baseline information on the predication of metabolic syndrome in Malaysian population. http://pubs.sciepub.com/ajcmr/2/6/1/ajcmr-2-6-1.pdf adiponectin abdominal obesity metabolic syndrome hypertension dyslipidemia