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Table 3 Determinants of phytate to calcium, iron, and zinc molar ratiosa

From: Dietary phytate intake inhibits the bioavailability of iron and calcium in the diets of pregnant women in rural Bangladesh: a cross-sectional study

Multivariate models b
  B 95 % CI of B SE (B) β P
Phytate: Calcium      
 Age (year) 0.008 0.007-0.009 0.001 0.248 <0.001
 Gestational age (month) 0.004 0.003-0.005 0.001 0.053 <0.001
 Phytate(per 100 mg) 0.048 0.046-0.052 0.001 0.745 <0.001
 Energy (per 100 C) 0.012 0.010-0.014 0.001 0.233 <0.001
 Calcium (mg) -0.003 -(0.004-0.002) 0.001 -0.842 <0.001
 Zinc (mg) -0.007 -(0.010-0.004) 0.002 -0.071 <0.001
 Iron (mg) ---- ---- ---- ---- ----
 Intercept -0.030 -(0.060-0.001) 0.015 ---- 0.013
 Adjusted Rb 0.919     
Phytate: Iron      
 Age (year) 0.130 0.091-0.169 0.021 0.095 <0.001
 Gestational age (month) 0.132 0.184-0.179 0.024 0.044 0.022
 Phytate (per 100 mg) 2.476 2.377-2.574 0.051 0.853 <0.001
 Energy (per 100 C) -0.171 -(0.203-0.139) 0.016 -0.079 0.015
 Calcium (mg) 0.006 0.005-0.007 0.001 0.109 <0.001
 Zinc (mg) 0.542 0.439-0.645 0.052 0.132 <0.001
 Iron (mg) -2.122 -(2.186-2.058) 0.033 -0.551 <0.001
 Intercept 6.759 5.941-7.576 0.743 ---- <0.001
 Adjusted Rb 0.881     
Phytate: Zinc      
 Age (year) ---- ---- ---- ---- ----
 Gestational age (month) 0.197 0.146-0.247 0.026 0.110 <0.001
 Phytate (per 100 mg) 1.956 1.897-2.015 0.030 0.967 <0.001
 Energy (per 100 C) -0.031 -(0.053-0.010) 0.011 -0.035 <0.001
 Calcium (mg) -0.003 -(0.004-0.002) 0.001 -0.085 <0.001
 Zinc (mg) -0.825 -(0.931-0.720) 0.054 -0.339 <0.001
 Iron (mg) ---- ---- ---- ---- ----
 Intercept 9.358 8.991-9.725 0.187 ---- <0.001
 Adjusted Rb 0.888     
  1. aModels included 717 pregnant women. Dash indicates the variables were not included in the model due to insignificance
  2. bLinear regression models with phytate to calcium, iron, and zinc molar ratios as the dependent variables and the independent variables that remained significant on the models, P < 0.05