title: Longitudinal preventive-screening cutoffs for metabolic syndrome in adolescents.
abstract: OBJECTIVE
  To detect metabolic risk factor cutoff points in adolescence for the diagnosis of metabolic syndrome that develops at the age of 17 years (MS17).
  
  
  METHODS
  This study adopted a 6-year design incorporating four data collection time points (TPs). Volunteers were assessed prospectively at the ages of 12, 13, 14 and 17.
  
  
  METHODS
  A total of 210, 204, 198 and 187 schoolchildren volunteered at the first (TP(1)=12 years old), second (TP2=13 years old), third (TP3=14 years old) and fourth (TP4=17 years old) data collection TP, respectively.
  
  
  METHODS
  At each data collection TP, anthropometrical, biological and lifestyle data were obtained. Identical protocols were used for each assessment conducted by the same trained investigators.
  
  
  RESULTS
  A total of 12% of the participants were diagnosed with MS17, the majority of them being boys (P<0.05). The prevalence of the syndrome increased directly with the degree of obesity. Using body mass index (BMI), adiposity and/or aerobic fitness levels in both genders, MS17 could be correctly diagnosed as early as TP1. No such cutoff points were found for high-density lipoprotein cholesterol, triglycerides, blood pressure and fasting plasma glucose levels.
  
  
  CONCLUSIONS
  With respect to the data presented, it has been established that the calculated longitudinal preventive-screening cutoffs allow successful diagnosis of metabolic syndrome in adolescents using BMI, adiposity or aerobic fitness levels in both sexes. Adoption of such pediatric guidelines may help mitigate future increase in the prevalence of metabolic syndrome.
authors.affiliation: The Institute of Human Performance and Rehabilitation, Centre for Research and Technology, Thessaly, Greece. aflouris@cereteth.gr
authors.forename: A D
authors.initials: AD
authors.lastname: Flouris
authors.forename: C
authors.initials: C
authors.lastname: Bouziotas
authors.forename: A D
authors.initials: AD
authors.lastname: Christodoulos
authors.forename: Y
authors.initials: Y
authors.lastname: Koutedakis
mesh_terms: D050154:Adiposity / Q000502:physiology; D000293:Adolescent; D001794:Blood Pressure / Q000502:physiology; D015992:Body Mass Index; D002648:Child; D002149:Energy Intake; D015444:Exercise / Q000502:physiology; D005260:Female; D006801:Humans; D008074:Lipoproteins / Q000097:blood; D008297:Male; D024821:Metabolic Syndrome / Q000503:physiopathology / Q000517:prevention & control*; D009765:Obesity / Q000150:complications*; D010809:Physical Fitness / Q000502:physiology; D012307:Risk Factors; D012741:Sexual Maturation / Q000502:physiology
chemical_list: D008074:Lipoproteins