Table 4

Association between antioxidant and pro-oxidant diet factors and iron biomarkers on total antioxidant capacity(ORAC)
Significant variables β coeff SE p-value
Model 1
All participants (n=815) Vitamin C (mg/d) 0.009 0.004 0.011 Rc2100=3.3
SFA (g/d) −0.060 0.023 0.01 F3,675=8.79 p<0.001
Serum ferritin (μg/L) 0.008 0.002 <0.001
Men (n=390) Serum ferritin (μg/L) 0.007 0.002 0.002 Rc2100=5.8
CRP (mg/L) 0.303 0.096 0.002 F2,324=11.02 p<0.001
Women (n=425) Serum ferritin (μg/L) 0.023 0.007 0.002 Rc2100=2.4
F1,350=9.56 p=0.002
Model 2
All participants (n=815) Vegetables(g/d) 0.009 0.002 <0.001 Rc2100=4.6
Meat (g/d) −0.009 0.003 0.002 F3,696=12.3 p<0.001
Serum ferritin (μg/L) 0.008 0.002 <0.001
Men (n=390) Serum ferritin (μg/L) 0.007 0.002 0.002 Rc2100=5.6
F2,331=10.96 p<0.001
CRP (mg/L) 0.290 0.095 0.002
Women (n=425) Vegetables(g/d) 0.012 0.004 0.001 Rc2100=5.3
Serum ferritin (μg/L) 0.022 0.007 0.002 F2,663=11.17 p<0.001

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.

Romeu et al.

Romeu et al. Nutrition Journal 2013 12:102   doi:10.1186/1475-2891-12-102

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