Table 4

Results of multivariable regression models for serum hepcidin concentrations (nM) stratified by sex

VariableMen
Women
β*95% CI
β*95% CI
Lower limitUpper limitLower limitUpper limit
BMI, kg/m2 NA NA NA −0.042 −0.274 0.190 
Ferritin, μg/L 0.779 0.740 0.818 0.830 0.783 0.877 
Iron, μM −0.005 −0.010 0.001 0.003 −0.003 0.009 
TIBC, μM −0.008 −0.012 −0.005 −0.005 −0.009 −0.001 
ALT, U/L NA NA NA −0.111 −0.180 −0.043 
eGFR, mL/min/1.73 m2 NA NA NA −0.003 −0.005 −0.001 
CRP       
    < 5 mg/L Ref Ref Ref Ref Ref Ref 
    5-20 mg/L 0.126 0.042 0.210 0.058 −0.030 0.147 
    > 20 mg/L 0.264 0.047 0.482 0.219 −0.023 0.462 
Age, y 0.000 −0.004 0.004 −0.002 −0.007 0.002 
Age, < 55 y vs ≥ 55 y −0.101 −0.211 0.009 0.129 0.020 0.238 
Time of blood sampling       
    Before 12 pm Ref Ref Ref Ref Ref Ref 
    Between 12 pm and 5 pm 0.336 0.264 0.409 0.389 0.303 0.474 
    After 5 pm 0.374 0.277 0.470 0.419 0.306 0.532 
VariableMen
Women
β*95% CI
β*95% CI
Lower limitUpper limitLower limitUpper limit
BMI, kg/m2 NA NA NA −0.042 −0.274 0.190 
Ferritin, μg/L 0.779 0.740 0.818 0.830 0.783 0.877 
Iron, μM −0.005 −0.010 0.001 0.003 −0.003 0.009 
TIBC, μM −0.008 −0.012 −0.005 −0.005 −0.009 −0.001 
ALT, U/L NA NA NA −0.111 −0.180 −0.043 
eGFR, mL/min/1.73 m2 NA NA NA −0.003 −0.005 −0.001 
CRP       
    < 5 mg/L Ref Ref Ref Ref Ref Ref 
    5-20 mg/L 0.126 0.042 0.210 0.058 −0.030 0.147 
    > 20 mg/L 0.264 0.047 0.482 0.219 −0.023 0.462 
Age, y 0.000 −0.004 0.004 −0.002 −0.007 0.002 
Age, < 55 y vs ≥ 55 y −0.101 −0.211 0.009 0.129 0.020 0.238 
Time of blood sampling       
    Before 12 pm Ref Ref Ref Ref Ref Ref 
    Between 12 pm and 5 pm 0.336 0.264 0.409 0.389 0.303 0.474 
    After 5 pm 0.374 0.277 0.470 0.419 0.306 0.532 

NA indicates not applicable; and Ref, reference category.

*

The dependent variable hepcidin was log-transformed before inclusion in the models. Thus, the β values express the changes in log-transformed hepcidin (nM) that are associated with a 1-unit change in the dependent variable, except for β values marked with “.”

BMI was included as continuous variable in the regression models.

Both the dependent and independent variables were log-transformed before inclusion in the linear model. Interpretation of these β values is as follows: a 1% change in the independent variable corresponds to a β % change in the dependent variable.

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