Diagnostic Methods of Metabolic Syndrome in Children

  • Shahin Koohmanaee Department of Pediatrics, Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Afagh Hassanzadeh Rad Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Seyyedeh Forough Jafari Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Marjaneh Zarkesh Department of Neonatology, Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Ehsan Kazemnejad Leili Department of Biostatistics, School of Nursing, Guilan University of Medical Sciences, Rasht, Iran.
  • Esfandiar Nazari Department of Pediatrics, Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Setila Dalili Department of Pediatrics, Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Keywords: Metabolic syndrome, Obesity, Child

Abstract

We aimed to define Metabolic Syndrome (METs) from different viewpoints to determine the most appropriate method that could be used for early METs' diagnosis in general population and treat them immediately. This study was an analytic cross-sectional study which was conducted on 725, twelve year-old-girls and boys from Rasht city in Iran. METs was defined based on 7 different methods. Data were reported by descriptive statistics (number, percent, mean, and standard deviation) and analyzed by Cohen's kappa coefficient correlation and chi-square in SPSS version 19. The highest and lowest percentages of METs were obtained by DE Ferranti (17.5%) and viner et al., (0.8%) methods, respectively. Results showed that viner et al., had the highest degree of agreement with NCEP ATPIII and the lowest with DE Ferranti. Furthermore, De Ferranti showed the highest degree of agreement with NHANESIII and the lowest with Viner et al., According to results, the identification of the cut off points of obesity could help to promote public health care.
Published
2019-03-12
How to Cite
1.
Koohmanaee S, Hassanzadeh Rad A, Jafari SF, Zarkesh M, Kazemnejad Leili E, Nazari E, Dalili S. Diagnostic Methods of Metabolic Syndrome in Children. Acta Med Iran. 57(2):127-133.
Section
Articles