Value of serum uric acid combined with age,waist circumference and body mass index in the prediction of metabolic syndrome in obese children
10.3760/cma.j.issn.2095-428X.2017.08.007
- VernacularTitle:肥胖儿童血尿酸联合年龄、腰围、体质量指数预测代谢综合征的价值
- Author:
Xiaohua XU
;
Guanping DONG
;
Wei WU
;
Ke HUANG
;
Jia HU
;
Qihong YAO
;
Ling WANG
;
Junfen FU
- Keywords:
Uric acid;
Metabolic syndrome;
Obesity;
Child
- From:
Chinese Journal of Applied Clinical Pediatrics
2017;32(8):585-590
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the value of serum uric acid(UA)levels with reference to the age,waist circumference,and body mass index(BMI)in predicting the metabolic syndrome(MS)in obese children.Methods A total of 300 obese children,including 180 boys and 120 girls,were enrolled in this study.The height,BMI,waist and hip circumference,blood pressure,serum glucose,insulin and lipid profile in all participants were measured.Oral glucose tolerance test and insulin releasing test were performed.The boys or girls were divided into 4 groups according to the 4 quantile of UA level,respectively.The clinical characteristics and correlation of UA with the clinical indexes and MS components were compared.The binary Logistic regression analysis was applied in the risk of MS and its components for the 4 groups of obese children.The area under the receiver operating characteristic curve(ROC curve)of UA level,age,waist circumference and BMI were used to predict the MS.Results UA level was increased with the increase of age,waist circumference and BMI,and the UA level was significantly correlated with triacylglycerol,postprandial 2 h glucose(2 h PG)(r=0.196,0.174 in boys;r=0.291,0.179 in girls).In boys,the adjusted odds ratio and 95％CI of the highest quartile of UA for triglyceridemia was 2.71(95％CI:0.77-9.58);which in girls,the adjusted odds ratio and 95％CI of the highest quartile of UA for hyperglycemia,hypertension were 8.45(95％CI:1.76-40.52)and 3.93(95％CI:0.66-23.33),respectively,with significant differences.In boys,the area under the ROC curve of UA level,age,waist circumference and BMI which predict the MS were 0.652 0.626,0.621,0.62,respectively,and the differences were significant(all P<0.05).Conclusions The UA level is significantly correlated with the composition of MS,UA detection combining with reference to the age,waist circumference,and BMI is helpful for the identification of high risk groups of metabolic syndrome.
