Determination of vital anthropometric indices and their association with obesity related cardiovascular risk factors among Malay obese attributes towards rising Malaysian obesity

Atif, Amin Baig and Yasrul Izad, Abu Bakar and Ahmad Zubaidi, A.latif and Nordin, Simbak (2017) Determination of vital anthropometric indices and their association with obesity related cardiovascular risk factors among Malay obese attributes towards rising Malaysian obesity. Research Journal of Pharmacy and Technology, 10 (12). p. 53. ISSN 0974-3618

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Abstract

Obesity is the rising health risk in Malaysia and associated with many chronic diseases. There are various classical anthropometric measurements used for obesity but the critical Cardiovascular(CVD) risk related anthropometric indices are always neglected. The associated CVD risk factors include lipid profile in our study. Few studies had been conducted to find best anthropometric indices predictor for CVD risks among “ASEAN” populations. The objective is to determine the association of vital anthropometric indices with cardiovascular risk factors among Malay obese attributes. This cross-sectional study was conducted at Terengganu with a total of 92 obese subjects beside non obese as control. Anthropometric indices (W/H, W/Ht, BMI, AVI, and CI) and lipid profiles were determined beside arithmetic means and differences between the obese and non-obese group were compared and correlated. The results showed mean of W/H, W/Ht, BMI, AVI and CI for Malay obese attributes was 13%, 31%, 49%, 73%, and 8% respectively higher than the mean of these parameters in nonobese. The results reflected that the W/H (r=0.44 for TG, r=0.43 for TG/HDL, r=0.42 for TC/HDL, r=0.42) and W/Ht (r=0.45 for fat%, r=0.43 for TG) have fair correlation with CVD risk factors. While AVI (r=0.31 for TG/HDL) and Conicity index (r=0.34 for TG/HDL, r=0.32 for TG) are quiet significant with association to CVD risk factors. BMI remains non-significant in predicting CVD risk factors. It is concluded that W/H ratio and AVI are good predictors for CVD risks in Malay obese attributes. While the measure for central obesity (W/Ht ratio and conicity index) tends to show fair correlation with CVD risk factors. BMI remains the nonsignificant predictor among all indices to predict CVD risk. To the best of our knowledge it's the first report in Malaysia that determines the association of critical anthropometric indices with obesity related CVD risk factors.

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