Port Operations To Nutrition And Chronic Disease Research

Objective:To study the relationships between serum uric acid(SUA) and hypertension incidence in the past 4 years.Methods:5843 subjects,aged 18-54 at baseline survey,were non hypertensive (＜135/85mmHg) in 2000,and 4688(3115 men,1573 women) of whom were re-examined in 2004.Data of blood pressure,characteristics of subjects,shell fish intake,etc.were collected.Results:Age-standardized hypertension incidence(SBP＞=140 or DBP＞=90 or using antihypertensive drugs in the last two weeks) was 13.0%(men:16.9%;women:9.1%). Hypertension incidence in the subjects was increased with the increase of SUA levels by quartile.The RR of hypertension at the highest quartile of level was 2.14(95%confidence interval[CI]:1.63-2.81) in men and 2.11(95%CI:1.27-3.50) in women compared to the lowest quartile of the SUA level.After adjustment of baseline SBP,DBP,FPG,TC,HDL-C, TG,lipid- lowering medication use,BMI,alcohol,smoking,the relationship between the SUA level and hypertension in male was attenuated but remained statistically significant (RR=1.60,95%CI:1.19-2.16).Age-standardized hypertension incidence in male was higher (RR=2.42,95%CI:1.53-3.81) with higher increase of SUA level(≥P75).Conclusion:SUA is a risk factor for hypertension incidence that is independent of the level of fasting glucose,TC,HDL-C,TG,lipid-lowering medication use,BMI,smoking,and alcohol intake.The higher SUA is associated with a risk of hypertension in men. Objective To investigate the difference between the anthropometric indices(AI),such as Waist Circumference(WC),body mass index(BMI),Waist-Hip Ratio,to predict cardiovascular risk factors in employees in Qingdao Port.Methods A cross-sectional study was designed.11359 employees in Qingdao port(male:8758, female 2601) aged from 18 to 54 years was enrolled and data of blood pressure,height,weight,waist circumference,hip circumference,blood glucose,cholesterol,triglyceride,total cholesterol and high density lipoprotein cholesterol were collected.Logistic regression was used to explore the relationship between the anthropometric indices and the cardiovascular risk.The receiver operating characteristic analysis was used to compare the sensitivity and specificity of various AI to predict cardiovascular disease(CVD) risk factors clustering and to determine the optimal WC cut-off values by comparison of areas under the curve(AUC) corresponding to each AI.Results The indexes,such as height,weight,waist circumference,hip circumference and waist-to-hip ratio were more useful to evaluate the risk of CVD in males than in females(P＜0.05).The prevalence of obesity,hypertension,diabetes,metabolic syndrome and other cardiovascular risk factors was higher than in males in females(P＜0.05).Odds ratio of acquiring various CVD risk factors increased significantly with increment of WC,WHR and BMI in men,however,compared with BMI and WHR, odds ratio of acquiring various CVD risk factors increased more quickly with WC,and the same is true in women.The areas under the receiver operating characteristic curve of WC to predict hypertension, diabetes,dyslipidemia and CVD risk factors clustering are significantly higher than that of BMI and WHR(P＜0.05),The optimal cut-off values of WC in predicting type 2 diabetes,hypertension, dyslipidemia,and MS using the ROC analysis were 85,85,83 and 85cm in men and 76,76,72 and 79cm in women,respectively.Conclusions The use of waist circumference was suggested to be more effective to predict the risk of cardiovascular disease than ones of BMI and WHR,and the cut-point is 85 cm in men and 79 cm in women.