Research Article

A New Approach to Define and Diagnose Cardiometabolic Disorder in Children

Table 3

Distribution of children according to the number of risk factors1. The two next columns display the proportion of children having 4 or more risk factors and the cutoff point in the continuous -score2, which select the same number of children at risk. The last column displays proportion having MetS according to IDF definition3.

CohortNumber with the risk factors waist, sysBP, 1/HDL, TG, and HOMATotal Proportion (%)Mean -score2Proportion (%) using IDF definition3
0 RF1 RF2 RF3 RF4 RF5 RF4 + 5 RF

Denmark 9 yr (EYHS)302306191853689284.740.830.0
Denmark 15 yr (EYHS)260261200673678315.170.880.1
Portugal 9 yr (EYHS)37427117110552229957.440.630.5
Portugal 15 yr (EYHS)231240150663087255.240.460.2
Estonia 9 yr (EYHS)178177110642655605.540.760.0
Estonia 15 yr (EYHS)184190122662195925.070.820.2
Denmark 6 yr (CoSCIS)15313711848924672.360.800.0
Denmark 9 yr (CoSCIS)16013280371584325.320.910.2
Denmark 13 yr (CoSCIS)156132834123104457.420.810.0
USA 10–14 yr (NHANES)158132534328124269.391.363.0
USA 14–18 yr (NHANES)3512411248349228708.421.294.1
Norway 9 yr (EYHS 2005)3522891919248218936.950.720.8
Norway 15 yr (EYHS 2005)2422411486733117425.930.800.9
Switzerland 8 yr (KISS)13211873281693766.700.650.3
Switzerland 12 yr (KISS)18112895552284892.300.900.0

Total32122793179490040514998716.200.850.9

At risk factor is defined as the upper quartile.
2Mean -score was calculated after ln-transformation of skewed risk factors.
3Proportion of children with MetS using IDF defined cutoff points as suggested by Zimmet et al. (2007) [6].