Diagnostic Methods of Metabolic Syndrome in Children

Shahin  Koohmanaee; Afagh   Hassanzadeh Rad; Seyyedeh  Forough Jafari; Marjaneh   Zarkesh; Ehsan   Kazemnejad Leili; Esfandiar  Nazari; Setila   Dalili

doi:10.18502/acta.v57i2.1768

Shahin Koohmanaee
Afagh Hassanzadeh Rad
Seyyedeh Forough Jafari
Marjaneh Zarkesh
Ehsan Kazemnejad Leili
Esfandiar Nazari
Setila Dalili

DOI: https://doi.org/10.18502/acta.v57i2.1768

Keywords: Metabolic syndrome; Obesity; Child

Abstract

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.