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. 2018 Mar 30;1(1):23–34. doi: 10.1002/agm2.12004

Table 5.

Multiple binary logistic regression analysis of association of sarcopenia components with uric acid adjusting age and BMI in females and males, separately

Dependent variablesa Sex Uric acid groupsb
G1 G2 G3 G4
SMI Females 1.02 (0.27, 3.77) 1.08 (0.28, 4.17) 1.47 (0.41, 5.33) Reference
Males 0.49 (0.14, 1.77) 0.68 (0.19, 2.42) 0.47 (0.14, 1.58) Reference
Handgrip strength Females 0.58 (0.13, 2.54) 1.04 (0.28, 3.85) 0.70 (0.19, 2.53) Reference
Males 1.09 (0.31, 3.78) 1.61 (0.44, 5.94) 0.75 (0.22, 2.55) Reference
Whole‐body total BMD Females 2.74 (0.96, 7.81) 2.07 (0.75, 5.72) 2.62 (0.97, 7.09) Reference
Males 1.11 (0.51, 2.41) 0.70 (0.32, 1.53) 0.60 (0.28, 1.31) Reference
SPPB score Females 12.293 (1.95, 77.66)c 3.717 (0.763, 18.11) 4.48 (0.91, 22.02) Reference
Males 1.49 (0.36, 6.21) 0.48 (0.11, 2.11) 1.95 (0.46, 8.26) Reference
a

Dependent variables were set subjects > median value as reference.

b

Uric acid was subgrouped into 4 groups, G1 (≤1st quartile), G2 (>1st quartile and ≤median), G3 (>median and ≤3rd quartile), and G4 (>3rd quartile). The population was divided by sex.

Results were presented as odds ratio (95% CI) via binary logistic regression analysis with adjusting age and BMI.

c

P < .05 indicates significant association.