Association Between Non-HDL-C And Insulin Resistance In Dalian Population

Objective To investigate the relationship between non-HDL-C and insulin resistance in the residents of Dalian.Methods Our sample was derived from the REACTION study,which was launched by the China medical association.The data was collected from August 2011 to December 2011 in Dalian city,up to 10207 subjects.History was collected from all the subjects especially drug history and history of smoking.Physical examination and biochemical inspection was completed.Non-high density lipoprotein cholesterol was calculated by total cholesterol and high density lipoprotein cholesterol.Excluded the subjects whose clinical information were incomplete,the final analysis consisted of9888 subjects.The subjects were divided into respective four groups according to the quartiles of non-HDL-C,to compare clinical parameters between the groups.One-way analysis of variance(ANOVA)was used to compare HOMA-IR between four groups.Spearman correlation analysis and multivariate linear stepwise regression analysis were used to analyze the correlation between non-HDL-C and insulin resistance.ROC curve analyzed the significance of non-HDL-C in the diagnosis of insulin resistance.Results1.There was significantly difference between these four groups in BMI,weight,MSBP,MDBP,FPG,2hPG,HbA1 c,FINS,HDL-C and other indicators(P < 0.05).The HOMA-IR values of the Q1,Q2,Q3,and Q4 groups were 1.68(1.15 to 2.45),1.91(1.34 to 2.82),2.15(1.48 to 3.15),and 2.30(1.59 to 3.28),respectively;statistical differences(P < 0.05).With the increase of non-HDL-C,the degree of insulin resistance gradually increased.2.Spearman correlation analysis showed a significant positive correlation between HOMA-IR and non-HDL-C,age,BMI,MSBP,MDBP,HbA1 c,TG,and LDL-C(r = 0.208,r = 0.095,r = 0.136,r = 0.483,r = 0.270,r = 0.239,r = 0.389,r =0.430,r = 0.106,P < 0.05),while negatively correlated with HDL-C(r =-0.298,P <0.05).3.Multiple linear stepwise regression analysis was performed using HOMA-IR as the dependent variable and non-HDL-C as the independent variable.The results showed that non-HDL-C was associated with HOMA-IR(P < 0.05).Similar results were observed in medols that adjusted for HbA1 c,BMI,FPG,2hPG,age,SBP,DBP,TG,and HDL-C(P < 0.05).Non-HDL-C was positively correlated with HOMA-IR.The regression equation was: HOMA-IR =-0.463-0.005 Age-0.004 SBP-0.004DBP-0.367 HDL-C + 0.035 non-HDL-C + 0.035 HbA1 c + 0.139 BMI + 0.188 TG.4.The top quartile of HOMA-IR was defined as the insulin resistance group(HOMA-IR ? 2.96).ROC curve analysis showed that non-HDL-C ? 3.9mmol/l predicted insulin resistance in the population,resulting in an area ender the curve of0.590(P < 0.001).When non-HDL-C was 3.9 mmol/l,the sensitivity of HOMA-IR was predicted to be 65.3% and the specificity was 51.2%.Conclusions1.With the increase of non-HDL-C,the degree of insulin resistance increased.2.Non-HDL-C has predictive value for insulin resistance.