Correlation of anthropometric indices with lipid profile indices among Malay obese and non-obese subjects in Malaysia

This study aims to determine the correlation of anthropometric measurements with serum lipid profile among Malay subjects in Kuala Terengganu, Malaysia.

This cross-sectional study was conducted in Kuala Terengganu on a total of 193 individuals aged 18-60 years. Subjects were recruited via direct interview as per inclusion criteria and anthropometric measurements, i.e. body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio, abdominal volume index and conicity index, were taken using International Standards for Anthropometric Assessment Guidelines. Fasting blood samples were collected for serum lipid profile analysis that measures triglyceride (TG), total cholesterol (TC), high-density lipoproteins (HDL), low-density lipoproteins (LDL), TG/HDL, TC/HDL and LDL/HDL. Besides socio-demographic characteristics, means and association of anthropometric parameters with lipid profiles were performed using simple linear regression and multivariate-adjusted regression analysis.

The mean age of obese (male [39.2 ± 8.7] and female [41.1 ± 1.0]) and non-obese (male [29.8 ± 1.3] and female [33.3 ± 1.3]) respondents was compared. Means of anthropometric indices and lipid profile were significantly (p < 0.001) higher in obese than in non-obese group. Multivariate-adjusted regression showed that weight and BMI increased risks for prevalent high TC, TG, LDL, TC/HDL, TG/HDL, LDL/HDL, hypercholesterolemia, hypertriglyceridemia and dyslipidemia. Regardless of sex, age and prevalent obese status, WHR increased risks for high prevalence of TC, TG, LDL, TC/HDL and LDL/HDL, and presents an independent risk factor for hypercholesterolemia and dyslipidemia. WC was highly associated with TG, while HC was associated with atherogenic lipid profile ratios: TC/HDL, TG/HDL and LDL/HDL.

In conclusion, the lipid profile (TC, TG and TG/HDL) of triglyceridemia and hypercholesteremia is highly correlated with anthropometric measurements (BMI, WC and WHR) of central obesity that predict obesity-associated cardiac risks.