@article{ajcmr2014261,
author={{Aris, Mohd Aznan Md and Khattak, Muhammad Muzaffar Ali Khan and Abdullah, Zamzila and Rus, Razman Mohd and Draman, And Samsul},
title={Adiponectin Correlates in Malaysians: A Comparison of Metabolic Syndrome and Healthy Respondents},
journal={American Journal of Clinical Medicine Research},
volume={2},
number={6},
pages={106--110},
year={2014},
url={http://pubs.sciepub.com/ajcmr/2/6/1},
issn={2328-403X},
abstract={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.},
doi={10.12691/ajcmr-2-6-1}
publisher={Science and Education Publishing}
}