Diet, iron biomarkers and oxidative stress in a representative sample of Mediterranean population

Nutrition Journal

Table 3 Association between antioxidant and pro-oxidant diet factors and iron biomarkers on lipid peroxidation (TBARS)

	Significant variables	β coeff	SE	p-value
Model 1
All participants (n=815)	Age, years	0.002	0.001	0.002	R_c ² ₁₀₀=2.9
	Non-heme iron (mg/d)	−0.012	0.004	0.007	F_3,675=7.66 p<0.001
	Heme iron (mg/d)	0.012	0.005	0.015	F_3,675=7.66 p<0.001
Men (n=390)	Age, years	0.004	0.001	<0.001	R_c ² ₁₀₀=6
	Tobacco (cig/d)	0.004	0.002	0.028	F_3,324=7.94 p<0.001
	Heme iron (mg/d)	0.021	0.007	0.002	F_3,324=7.94 p<0.001
Women (n=425)	Non-heme iron (mg/d)	−0.019	0.006	0.001	R_c ² ₁₀₀=3.8
Women (n=425)	Transferrin saturation (%)	0.003	0.001	0.031	F_2,349=7.95 p<0.001
Model 2
All participants (n=815)	Age, years	0.002	0.001	0.002	R_c ² ₁₀₀=2.5
All participants (n=815)	Fish (g/d)	0.001	0.001	0.004	F_2,697=9.8 p<0.001
Men (n=390)	Age, years	0.004	0.001	0.001	R_c ² ₁₀₀=7.3
	Tobacco (cig/d)	0.004	0.002	0.012	F_4,329=7.5 p<0.001
	Fish (g/d)	0.001	0.001	<0.001
	Meat (g/d)	0.001	0.001	0.019
Women (n=425)	Transferrin saturation (%)	0.003	0.001	0.02	R_c ² ₁₀₀=2
Women (n=425)	Transferrin saturation (%)	0.003	0.001	0.02	F_2,363=4.6 p=0.01

Model 1: Multiple linear regression (MLR) adjusted for age, sex, BMI, energy intake (Kcal, SFA, MUFA, PUFA); nutrient intake (vitamin C, vitamin E, β carotene, retinol, non-heme and heme iron); biochemical iron status (SI, SF, TFS, CRP); lifestyle factors (alcohol, smoking and physical activity). Only variables found to be significant are shown.
Model 2: Multiple linear regression (MLR) adjusted for age, sex, BMI, energy intake (Kcal) food groups consumption (meat, fish, cereals, pulses, vegetables and fruit); biochemical iron status (SI, SF, TFS, CRP); lifestyle factors (alcohol, smoking and physical activity). Only variables found to be significant are shown.

ISSN: 1475-2891