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. 2017 Jan 17;92(2):196–203. doi: 10.1002/ajh.24617

Table 2.

Associations between hepcidin and participant characteristics and iron indices

Variable Regression Coefficient 95% CI P β coefficienta
Univariate linear regression for log10(hepcidin)
Age (years) 0.048 0.025, 0.070 <0.001 0.090
Sexb −0.24 −0.30, −0.18 <0.001 −0.16
Hb (g/dL) 0.13 0.11, 0.15 <0.001 0.30
log10(ferritin) 0.37 0.34, 0.40 <0.001 0.46
log10(sTfR) −0.50 −0.58, −0.43 <0.001 −0.27
log10(sTfR‐F) −0.52 −0.56, −0.47 <0.001 −0.43
log10(CRP) 0.15 0.12, 0.18 <0.001 0.23
β‐thalassemia trait −0.02 −0.16, 0.12 0.76 −0.006
HbE trait 0.15 −0.12, 0.43 0.27 0.023
α‐thalassemia trait 0.12 0.044, 0.19 0.002 0.066
α‐homozygous or compound heterozygous thalassemia 0.49 0.16, 0.81 0.003 0.063
Multiple linear regression model for log10(hepcidin)
Log10(ferritin) 0.27 0.24, 0.30 <0.001 0.34
Log10(sTfR) −0.25 −0.32, −0.17 <0.001 −0.13
Hb (g/dL) 0.05 0.04, 0.07 <0.001 0.13
Log10(CRP) 0.10 0.07, 0.12 <0.001 0.15

All variables were included in the multiple regression analysis. Only variables with P < 0.05 were included in the final fitted model.

a

Variables standardized to have a variance of 1, allowing comparison of regression coefficients between variables.

b

Coded variable: Male = 0; Female = 1.