Table 5.

Univariate and multiple logistic regression analyses for predicting sarcopenic obesity.

	Univariate analysis			Multivariable analysis
Variables	P	OR	95% C.I.	P	OR	95% C.I.
Age (year)	.578	1.015	0.964–1.068
HGS (kg)	.020	0.928	0.871–0.988
GS (m/s)	.002	1.569	1.176–2.092
Total-C (mg/dL)	.054	1.011	1.000–1.022
Irisin (ng/mL)	.000	1.302	1.038–1.416	.002	1.105	0.965–1.338
Myostatin (ng/mL)	.334	0.984	0.953–1.016
A1c (%)	.010	1.378	1.080–1.757	.055	1.358	0.993–1.857

All the variables related to sarcopenic obesity were examined (excluding anthropometric measurements) and only those significant at P < .05 level are used in univariate analysis. Multiple logistic regression analysis including all the variables in univariate analysis with enter method. P < .05 was considered statistically significant.

Non-significant variables in multiple logistic regression analysis were not indicated in the table.

95% CI = 95% confidence interval, A1C = glycosylated hemoglobin, B = regression coefficient, GS = gait speed, HGS = hand grip strength, OR = odds ratio, Total-C = total cholesterol.