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1.
Chinese Journal of Contemporary Pediatrics ; (12): 17-23, 2020.
Artigo em Chinês | WPRIM | ID: wpr-781701

RESUMO

OBJECTIVE@#To study the value of body fat mass measured by bioelectrical impedance analysis (BIA) in predicting abnormal blood pressure and abnormal glucose metabolism in children.@*METHODS@#Stratified cluster sampling was used to select the students aged 6-16 years, and a questionnaire survey and physical examination were performed. The BIA apparatus was used to measure body fat mass. Body mass index (BMI), body fat mass index (FMI), and fat mass percentage (FMP) were calculated. Fasting blood glucose level were measured.@*RESULTS@#A total of 14 293 children were enrolled, among whom boys accounted for 49.89%. In boys and girls, the percentile values (P, P, P, P, P, P, P, P) of FMI and FMP fitted by the LMS method were taken as the cut-off values. Based on the receiver operating characteristic curve analysis, the P values with a better value in predicting abnormal blood pressure and blood glucose metabolism were selected as the cut-off values for excessive body fat. When FMI or FMP was controlled below P, the incidence of abnormal blood pressure or abnormal glucose metabolism may be decreased in 8.25%-43.24% of the children.@*CONCLUSIONS@#The evaluation of obesity based on FMI and FMP has a certain value in screening for hypertension and hyperglycemia in children, which can be further verified in the future prevention and treatment of obesity and related chronic diseases in children.


Assuntos
Adolescente , Criança , Feminino , Humanos , Masculino , Tecido Adiposo , Pressão Sanguínea , Composição Corporal , Índice de Massa Corporal , Impedância Elétrica , Glucose
2.
Chinese Journal of Epidemiology ; (12): 62-67, 2020.
Artigo em Chinês | WPRIM | ID: wpr-787707

RESUMO

To compare the power of dyslipidemia diagnosis by different sets of cut points in the prediction of cardiovascular metabolic risk factors and identify the appropriate cut points for the diagnosis of dyslipidemia in children and adolescents in China. Data were obtained from the baseline survey of 'School-based Cardiovascular and Bone Health Promotion Program' in Beijing in 2017. Dyslipidemia was diagnosed by using two set of cut points. Receiver operating characteristic curve analysis was conducted to assess the power of dyslipidemia diagnosis by the two set of cut points to predict the prevalence of hypertension, obesity, high fat mass percentage and impaired fasting glucose. A total of 14 390 children and adolescents were in included in the study. The prevalence rates of high TC, high LDL-C, low HDL-C, and high TG in the participants were 2.7, 2.7, 14.4, and 3.7 according to 'Chinese Reference Standard', and 5.0, 3.7, 13.3, and 3.5 according to 'China Expert Consensus'. Low HDL-C and high TG defined by the 'Chinese Reference Standard' had better performance for the prediction of high fat mass percentage and obesity in boys, but worse performance in girls (<0.001). Using 'China Reference Standard' can increase the true positive rate in the prediction of obesity or high fat mass percentage in boys, and reduce the false positive rate in girls. The cut points for the diagnosis of dyslipidemia in Chinese children and adolescents need to be further validated by using national representative sample and in longitudinal study.

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