Table 4: Fat mass prediction (FM from DXA)—multivariate regression analysis.

Variables in the model Sig. changes adj

Constant−10.550.032
BMI0.2850.042
AFA0.6280.034
H0.1170.028
Block modelFM-BIA0.7390.0000.8790.868
FMI 0.2880.345
CRP0.00360.995
Model 1Leptin0.007140.01
LAR0.05940.599
Constant−11.0210.02
FM-BIA0.6450.000
Forward stepwise selectionLeptin0.005450.0040.8770.871
BMI0.2450.058
H 0.1310.11
AFA0.6270.32

Constant6.8180.000
Block modelFM-BIA0.8680.0000.8520.847
Leptin0.006290.002
Model 2CRP0.4770.41
Constant6.6420.000
Forward stepwise selectionFM-BIA0.8760.0000.8510.848
Leptin0.006810.001

Constant−10.210.011
Block modelBMI1.3380.0000.680.67
Leptin0.01530.000
Model 3CRP0.8420.321
Constant−11.0250.005
Forward stepwise selectionBMI1.3690.0000.677 0.67
Leptin0.016380.000

Legend: BMI: body mass index; AFA: arm fat area; H: hips circumference; FM-BIA: fat mass estimate through bioimpedance analysis; CRP: C-reactive protein; LAR: leptin-adiponectin ratio.