ABSTRACT
ObjectiveTo explore the relationship of body fat distribution with serum lipid and its potentially predictive value for dyslipidemia.MethodsA total of 784 Beijing rural residents were enrolled in this study using a cluster sampling method.The body height,weight,waist circumference (WC),hip circumference,body composition,high-density lipoprotein cholesterol ( HDL-C ),low-density lipoprotein cholesterol ( LDL-C),total cholesterol ( TC),and triglycerides (TG) were measured.The body mass index (BMI) and waist to hip ratio (WHR) were calculated.ResultsThe age-adjusted partial correlation analysis showed that WC had the best correlation with HDL-C ( r =- 0.310) and LDL-C ( r =0.204 ),while WHR with TC ( r =0.151 ) and TG ( r =0.271 ).Subgroup analysis with different BMI,WC,WHR,and trunk fat mass (TFM) showed that WC,WHR,and TFM sensitively reflected the changes of body lipids,whereas BMI,WC,WHR,and TFM sensitively reflected the low HDL,high TG,and risk of dyslipidemia.Receiver operating characteristic curve analysis showed that the predictive curves of WC,WHR,BMI,and TFM were above the reference line,and the areas under the receiver operating characteristic curves of WHR (0.684,0.630),WC (0.667,0.616),and TFM (0.661,0.604) showed high tendencies than BMI (0.629,0.597) for both male and female subjects,although no statistically significant differences were found ( all P ＞ 0.05 ).ConclusionsCompared with BMI,the body fat distribution indicators including WHR,WC,and TFM have higher predictive values in evaluating the risk of dyslipidemia.When the maximum Youden index for predicting the risk of dyslipidemia is applied,the ideal cutoff points was 24 kg/m2 for BMI,0.91 for WHR,85cm for WC,7.5kg for TFM in males,and 25 kg/m2,0.91,87cm,and 9.5 kg,respectively,in females.