Skip to main content
. 2023 Mar 31;10:1127188. doi: 10.3389/fnut.2023.1127188

Table 4.

Subgroup analyses of the associations between serum selenium concentrations and all-cause mortality among CKD patientsa.

Characteristics Serum selenium concentration (μg/L)
Q1<156.1 Q2 156.1–181.7 Q3 181.7–201.5 Q4 201.5–734.8 P -trend
Age, y
<65 1 0.836 (0.523, 1.337) 0.605 (0.36, 1.015) 0.493 (0.296, 0.82) 0.003262
≥65 1 0.902 (0.742, 1.096) 0.798 (0.631, 1.008) 0.748 (0.585, 0.955) 0.007641
Sex
Male 1 1.070 (0.846, 1.352) 0.718 (0.535, 0.964) 0.643 (0.478, 0.865) 0.00109
Female 1 0.675 (0.508, 0.897) 0.787 (0.576, 1.075) 0.797 (0.572, 1.111) 0.07929
Ethnicity (%)
Non-Hispanic white 1 0.987 (0.786, 1.239) 0.739 (0.563, 0.97) 0.696 (0.529, 0.915) 0.00289
Other 1 0.701 (0.524, 0.937) 0.685 (0.485, 0.968) 0.644 (0.443, 0.936) 0.00813
BMI, kg/m2
<30 1 0.922 (0.739, 1.151) 0.727 (0.547, 0.967) 0.765 (0.58, 1.009) 0.014546
≥30 1 0.794 (0.585, 1.077) 0.738 (0.531, 1.025) 0.560 (0.389, 0.807) 0.00147
Smoking status
Never smoker 1 1.024 (0.777, 1.347) 0.816 (0.589, 1.13) 0.738 (0.522, 1.045) 0.06053
Smoker 1 0.798 (0.63, 1.01) 0.704 (0.531, 0.933) 0.651 (0.49, 0.866) 0.000728
a

Cox proportional hazard models were used to estimate the HRs (95% CIs) of all-cause mortality according to quartiles of serum selenium concentrations. Results were adjusted for age (≥65 or <65), sex (male or female), race (non-Hispanic white or other), BMI (≥30 or <30 kg/m2), and smoking status (smoker or never smoker).

BMI, body mass index; Q, quartile.