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First Report on the Validity of a Continuous Metabolic Syndrome Score As an Indicator for Metabolic Syndrome in a National Sample of Paediatric Population - the Caspian-Iii Study Publisher Pubmed



Shafiee G1, 2 ; Kelishadi R3 ; Heshmat R1, 2 ; Qorbani M4, 5 ; Motlagh ME6, 7 ; Aminaee T7 ; Ardalan G7 ; Taslimi M8 ; Poursafa P3 ; Larijani B1
Authors
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Authors Affiliations
  1. 1. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran 14579-65597, No. 111, 19th St., North karegar, Iran
  3. 3. Department of Paediatrics, Child Growth and Development Research Centre, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. Department of Public Health, Alborz University of Medical Sciences, Karaj, Iran
  5. 5. Department of Epidemiology, Iran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Paediatrics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  7. 7. Bureau of Population, Family and School Health, Ministry of Health and Medical Education, Tehran, Iran
  8. 8. Bureau of Health and Fitness, Ministry of Education and Training, Tehran, Iran

Source: Endokrynologia Polska Published:2013


Abstract

Introduction: The aim of this study was to assess the validity of a continuous Metabolic Syndrome score (cMetS) in a nationally representative sample of Iranian children and to identify sex and age-specific optimal cut-off points of cMetS that are associated with MetS. Material and methods: This study was conducted among 3,254 schoolchildren aged 10-18 years. cMetS was derived by aggregating age and sex-standardised residuals of waist circumference (WC), mean arterial pressure (MAP), glucose, high density lipoprotein-cholesterol (HDL-C) and triglycerides (TG). To determine the optimal cut-off points of cMetS for predicting MetS, receiver operator characteristic (ROC) curve analysis was used with an estimation of the variables' sensitivity and specificity. Results: A graded relationship was documented between cMetS and the number of risk factors. Increasing mean values of cMetS with increasing numbers of components were apparent for both genders. The overall optimal cMetS cut-off point for predicting the presence of MetS was 2.93 [sensitivity = 92%, specificity = 91%, area of the curve = 0.96 (0.95-0.97)]. The values for boys and girls were 2.97 and 3.26 respectively in the total study. Conclusion: This nationwide study confirmed the validity of the cMetS score in a population-based sample of Iranian children. cMetS appears to be an appropriate index for investigating the association between potential risk factors and MetS in epidemiological research in Iran.
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