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. 2022 Jan 14;22:21. doi: 10.1186/s12902-022-00937-4

Table 4.

Multiple Linear Regression Models# predicting the difference of means for each variable of interest between hyperuricemic and normouricemic groups

$Model 1 $Model 2
Parameter Coefficient 95% CI p-value R2 Coefficient 95% CI p-value R2
Hemoglobin (g/dL) -0.12 (-0.35, 0.11) 0.315 0.56 -0.14 (-0.39, 0.10) 0.259 0.57
Folate (nmol/L) -0.55 (-1.81, 0.70) 0.389 0.03 -0.37 (-1.67, 0.93) 0.576 0.04
RBC (106/µL) 0.04 (-0.04, 0.12) 0.362 0.37 -0.01 (-0.10, 0.08) 0.785 0.35
TIBC (µmol/L) 0.07 (-1.54, 1.68) 0.934 0.18 0.00 (-1.72, 1.72) 0.999 0.19
WBC (103/µL) 0.16 (-0.20, 0.51) 0.386 0.00 -0.12 (-0.50, 0.26) 0.534 0.04
Monocytes (%) -0.01 (-0.34, 0.32) 0.960 0.06 0.19 (-0.17, 0.54) 0.298 0.06
Platelet (103/µL) 8.82 (-2.32, 19.96) 0.121 0.11 -0.38 (-12.30, 11.54) 0.950 0.13
HDL (mmol/L) -0.14 (-0.20, -0.08) <0.001 0.21 -0.07 (-0.14, -0.01) 0.019 0.26
LDL (mmol/L) 0.18 (0.05, 0.31) 0.008 0.11 0.13 (-0.01, 0.27) 0.065 0.11
Triglycerides (mmol/L) 0.20 (0.09, 0.31) 0.001 0.13 0.12 (-0.01, 0.25) 0.066 0.15
 C-peptide (ng/mL) 0.75 (0.46, 1.04) <0.001 0.05 0.38 (0.06, 0.69) 0.018 0.12
Glucose (mmol/L) 0.15 (0.02, 0.28) 0.021 0.05 0.06 (-0.08, 0.21) 0.395 0.07
HbA1c (%) 0.10 (0.02, 0.17) 0.011 0.04 0.04 (-0.04, 0.12) 0.358 0.07
*Ferritin (Males) (µg/L) 16.01 (1.93, 30.09) 0.026 0.04 8.08 (-7.18, 23.34) 0.298 0.07
*Ferritin (Females) (µg/L) 15.06 (0.19, 29.93) 0.047 0.01 13.72 (-0.27, 27.7) 0.054 0.00
MHR 0.62 (0.25, 1.00) 0.001 0.21 0.47 (0.06, 0.89) 0.026 0.21

#The linear regression models were constructed using categorical uric acid groups where normouricemics were labeled 0 and hyperuricemics were labeled 1, and thus the coefficients displayed indicate the mean difference in the outcome variables between the hyperuricemic and normouricemic groups.

$Model 1 is adjusted for age groups and sex. Model 2 is adjusted for age groups, sex, BMI, smoking and exercise. Adjusted R2 values have been displayed.

*The regression models pertaining to ferritin were stratified by sex to avoid model misspecification.