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Table 4 Association between antioxidant and pro-oxidant diet factors and iron biomarkers on total antioxidant capacity(ORAC)

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

 

Significant variables

β coeff

SE

p-value

 

Model 1

     

All participants (n=815)

Vitamin C (mg/d)

0.009

0.004

0.011

Rc 2 100=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

Rc 2 100=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

Rc 2 100=2.4

F1,350=9.56 p=0.002

Model 2

     

All participants (n=815)

Vegetables(g/d)

0.009

0.002

<0.001

Rc 2 100=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

Rc 2 100=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

Rc 2 100=5.3

Serum ferritin (μg/L)

0.022

0.007

0.002

F2,663=11.17 p<0.001

  1. 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.
  2. 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.