title: Body Mass Index Is Better than Other Anthropometric Indices for Identifying Dyslipidemia in Chinese Children with Obesity.
abstract: BACKGROUND
  Body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) are used in screening and predicting obesity in adults. However, the best identifier of metabolic complications in children with obesity remains unclear. This study evaluated lipid profile distribution and investigated the best anthropometric parameter in association with lipid disorders in children with obesity.
  
  
  METHODS
  A total of 2243 school children aged 7-17 years were enrolled in Guangzhou, China, in 2014. The anthropometric indices and lipid profiles were measured. Dyslipidemia was defined according to the US Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents. The association between anthropometry (BMI, WC, and WHR) and lipid profile values was examined using chi-square analysis and discriminant function analysis. Information about demography, physical activity, and dietary intake was provided by the participant children and their parents.
  
  
  RESULTS
  Children aged 10-14 and 15-17 years old generally had higher triglyceride values but lower median concentration of total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol compared with children aged 7-9 years old (all P < 0.001). These lipid parameters fluctuated in children aged 10-14 years old. The combination of age groups, BMI, WC and WHR achieved 65.1% accuracy in determining dyslipidemic disorders. BMI correctly identified 77% of the total dyslipidemic disorders in obese children, which was higher than that by WHR (70.8%) (P< 0.05).
  
  
  CONCLUSIONS
  The distribution of lipid profiles in Chinese children differed between younger and older age groups, and the tendency of these lipid levels remarkably fluctuated during 10 to 14 years old. BMI had better practical utility in identifying dyslipidemia among school-aged children with obesity compared with other anthropometric measures.
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Yanna
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Zixian
authors.initials: Z
authors.lastname: Shao
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Jing
authors.affiliation: Institute of Child and Adolescent Health, School of Public Health, Peking University, Peking, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Ma
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Yajun
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Xiuhong
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Wenhan
authors.initials: W
authors.lastname: Yang
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Li
authors.initials: L
authors.lastname: Guo
authors.affiliation: Department of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Jin
mesh_terms: D000293:Adolescent; D000367:Age Factors; D000886:Anthropometry; D044466:Asian People; D015992:Body Mass Index; D002648:Child; D016002:Discriminant Analysis; D050171:Dyslipidemias / Q000097:blood / Q000150:complications* / Q000175:diagnosis*; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood; D008297:Male; D009765:Obesity / Q000097:blood / Q000150:complications*; D055105:Waist Circumference; D049629:Waist-Hip Ratio
chemical_list: D008055:Lipids