Analysis Of The Risk Of Hypertension And Dyslipidemia In Youth Obesity-related Indicators

Objective1)To analyze and compare the ability of obesity indicators to predict the risk of hypertension and dyslipidemia,and to find better forecast indicator;2)To analyze whether BMI combined with other obesity indicators can improve prediction of hypertension and dyslipidemia compared with BMI alone.3)Exploring the appropriate cut-off value of each obesity index to predict the onset of hypertension and dyslipidemia.MethodsWe collected all data of the measurement of 3484freshmen’sheight,weight,systolicbloodpressure(SBP),diastolicblood pressure(DBP),heart rate,bust circumference(BC),waist circumference(WC),hip circumference(HC),thigh circumference(ThC)and biochemical indicators related to blood lipidsinJiangxi Medical College in 2017.We recorded,collected,and organized the data.We used stata14.0 statistical software for data collation,statistical description and statistical analysis.ResultIn the prediction of the risk of hypertension,the AUC of male BMI reached 0.7169,the suitable cut-point value was21.8kg/m~2,and the AUC of BC,WC,HC,HHeR and BHeR were all greater than 0.65,but there is no statistically significant difference compared with BMI.The largest variable in AUC in girls was heart rate,with an AUC of 0.6558 and a cut-point value of 87 beats/min,but heart rate combined with BMI predicted hypertension with an AUC of 0.7235.There is no difference between the better predictive value of obesity indicators in predicting the risk of dyslipidemia and BMI predictive effect,even if they combined BMI or post-adjusted age.In the prediction of the risk of hypertriglyceridemia,the AUC of males’WSR and BRI reached a maximum of0.7986,the appropriate cut-off values were 0.44 and 2.21,respectively,and the AUC of BMI,WC,HHeR,BHeR and BAI were all greater than 0.75;The maximum AUC of girls’is BC,its AUC is 0.6801,the cut-point value is 84cm,and the AUC reaches0.6823 when BMI is combined with BHeR.In the prediction of the risk of hypercholesterolemia,the AUC of boys’WSR and BRI reached a maximum of 0.7295,the appropriate cut-off values were 0.44 and 2.21,respectively,and the AUC of BMI,HHeR and BAI were all greater than 0.7;the largest AUC variable in girls is HC,its AUC is 0.5839,and the cut-point value is 92cm.In the prediction of the risk of high LDLemia,the AUC of boys’WSR and BRI reached a maximum of 0.7746,the appropriate cut-off values were 0.44 and 2.14,respectively,and the AUC of BMI and WC were both greater than 0.75;the maximum AUC variable in girls was HHeR with AUC of 0.7031 and it’s the cut-point value is 0.59,and the AUC of both BMI and HC is greater than 0.65.In the prediction of the risk of low-HDLemia,the AUC of male WBR reached a maximum of 0.5785,and the appropriate cut-off value was 0.72.The maximum AUC variable in females was BMI,its AUC was 0.6379,and the cut-point value was 20.51kg/m~2.The obesity index predicts that the effect of low HDL is still poor.Conclusion WC,WSR and BRI have better effects in predicting hypertension,and ABSI and Conicity Index are less effective.BMI combined with heart rate can better predict the risk of hypertension than BMI.BRI,WSR,WC,HHeR,BHeR and BAI can predict dyslipidemia very well.Obesity-related indicators predict better dyslipidemia in boys than in girls.The appropriate cut-off values of BMI,WC,WHR,and WSR for predicting hypertension and dyslipidemia are lower than the obesity criteria.