Table 5: Multiple linear regression of somatometric parameters, multiple bivariate logistic regression of BMI classes.

DependentPredictorsCoeff.SEt P valueBeta

Linear regression
BMIIntercept
20.851.62512.83<0.001
TT4
0.6080.1863.270.0010.137
Age
0.0760.017434<0.0010.181
HeightIntercept
1.9170.018106.82<0.001
Sex (female versus male)−0.1090.008−14.01<0.001-0.446
Age
−0.0020.0002−10.34<0.001-0.329
WeightIntercept
89.485.0117.84<0.001
TT4
1.770.513.49<0.0010.14
Sex (female versus male)−14.081.98−7.12<0.001−0.29

DependentPredictorCoeff.Lower 95% CLUpper 95% CLP value

Logistic regression
BMI > 25Age
1.0461.0311.062<0.001
TT3
2.6081.0416.5330.041
BMI > 30Age
1.0251.0131.038<0.001
TT3
2.1061.0164.3640.045
BMI > 35TT4
1.4091.1201.7740.004
FT4
0.2240.0451.1260.069