Table 7.

Results of multivariable linear regression analysis for prediction of HM iron concentration (Model A and Model C) and infants iron intake (Model B and D) ¹.

	Estimate	Standard Error	p-Value
Model A (Dependent Variable: HM Iron Concentration)
Supplemented iron (mg/d)	0.003	0.002	0.497
Model B (Dependent Variable: Iron Infants’ Intake)
Total daily iron intake (mg/d)	0.002	0.0008	0.0198
Model C (Dependent Variable: HM Iron Concentration)
Meat 2	0.018	0.008	0.046 *
Fish and seafood 2	−0.020	0.007	0.013 *
Vegetables and legumes 2	0.032	0.007	<0.001 *
Nuts and seeds	−0.029	0.013	0.037 *
Total daily iron intake (mg/d)	0.005	0.001	<0.001 *
Model D (Dependent Variable: Iron Infants’ Intake)
Meat 2	0.009	0.003	0.030
Fish and seafood 2	−0.011	0.004	0.005
Vegetables and legumes 2	0.015	0.003	<0.001 *
Nuts and seeds 2	−0.014	0.006	0.039 *
Total daily iron intake (mg/d)	0.002	0.001	<0.001

¹ Iron concentration in HM for models A and C, while infants’ iron intake in HM for models B and D were used as dependent variables, respectively. For models A and B, mother’s age, actual body mass, body fat mass, percentage of energy delivered from macronutrients (protein, fat, carbohydrates), dietary, supplemented and total iron intakes, were considered as explanatory variables. For models C and D mother’s age, actual body mass, body fat mass, consumption frequency of all selected food groups (meat, fish and seafood, vegetables and legumes, nuts and seeds), maternal dietary, supplemented and total iron intakes were evaluated as explanatory variables. ² Results from FFQ, consumption frequency. Intercepts were not reported. * p < 0.05.