title: Uric acid is associated with metabolic syndrome in children and adults in a community: the Bogalusa Heart Study.
abstract: BACKGROUND
  Elevated serum uric acid (UA) is commonly found in subjects with metabolic syndrome (MetS). This study examined the association of UA with levels of individual MetS components and the degree of their clustering patterns in both children and adults.
  
  
  METHODS
  The study sample consisted of 2614 children aged 4-18 years and 2447 adults aged 19-54 years. MetS components included body mass index (BMI), mean arterial pressure (MAP), triglycerides to high-density lipoprotein cholesterol ratio (TG/HDLC), and homeostasis model assessment of insulin resistance (HOMA). Observed/expected (O/E) ratio and intra-class correlation coefficient (ICC) were used as a measure of the degree of clustering of categorical and continuous MetS variables, respectively.
  
  
  RESULTS
  UA was positively and significantly associated only with BMI in children but with all four components in adults. The odds ratio for MetS associated with 1 mg/dL increase of UA was 1.74 (p<0.001) in children and 1.92 (p<0.001) in adults. O/E ratios showed a significant, increasing trend with increasing UA quartiles in both children and adults for 3- and 4-variable clusters with p-values for trend <0.001, except for BMI-MAP-TG/HDLC and MAP-TG/HDLC-HOMA clusters in children and MAP-TG/HDLC-HOMA cluster in adults. ICCs of 3 and 4 components increased with increasing UA quartiles in children and adults.
  
  
  CONCLUSIONS
  These results indicate that UA may play a role in the development of MetS in both pediatric and adult populations alike, which may aid in the identification and treatment of high risk individuals for MetS and related clinical disorders in early life.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Department of Epidemiology, Tulane University, New Orleans, Louisiana, United States of America.
authors.forename: Dianjianyi
authors.initials: D
authors.lastname: Sun
authors.affiliation: Department of Epidemiology, Tulane University, New Orleans, Louisiana, United States of America.
authors.forename: Shengxu
authors.initials: S
authors.lastname: Li
authors.affiliation: Department of Epidemiology, Tulane University, New Orleans, Louisiana, United States of America.
authors.forename: Xiaotao
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology, Tulane University, New Orleans, Louisiana, United States of America.
authors.forename: Camilo
authors.initials: C
authors.lastname: Fernandez
authors.affiliation: Department of Epidemiology, Tulane University, New Orleans, Louisiana, United States of America.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.affiliation: Department of Epidemiology, Tulane University, New Orleans, Louisiana, United States of America.
authors.forename: Sathanur R
authors.initials: SR
authors.lastname: Srinivasan
authors.affiliation: Department of Epidemiology, Tulane University, New Orleans, Louisiana, United States of America.
authors.forename: Gerald S
authors.initials: GS
authors.lastname: Berenson
mesh_terms: D000328:Adult; D015992:Body Mass Index; D002648:Child; D005260:Female; D006801:Humans; D008145:Louisiana; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood*; D008875:Middle Aged; D016017:Odds Ratio; D044469:Racial Groups; D012044:Regression Analysis; D012111:Residence Characteristics; D014527:Uric Acid / Q000097:blood*; D055815:Young Adult
chemical_list: D014527:Uric Acid