Waist Circumference Measured by Bioelectrical Impedance Analysis Is Interchangeable with Manual Measurement: Increased Waist Circumference Is Associated with Locomotive Syndrome Risk

Table 5

Logistic regression model for LS risk according to sex.

Male			value	Female			value
Variables	β	Odds ratio (95% CI)		Variables	β	Odds ratio (95% CI)
WC by BIA (cm)	0.095	1.100 (1.029–1.176)	0.005	WC by BIA (cm)	0.134	1.143 (1.073–1.217)	<0.001
Age (years)	0.058	1.060 (1.027–1.093)	<0.001	Age (years)	0.051	1.052 (1.027–1.079)	<0.001
BMI (kg/m^2)			0.080	Total cholesterol (mg/dL)			0.065
Total cholesterol (mg/dL)			0.24	PBF (%)			0.067
PBF (%)			0.48	Triglycerides (mg/dL)			0.20
Triglycerides (mg/dL)			0.52	aSMI (kg/m^2)			0.25
				BMI (kg/m^2)			0.44

All variables () that showed a certain degree of difference in univariate analysis were used as covariates. The dependent variable was LS risk. Covariates in males were age, BMI, PBF, WC by BIA, total cholesterol, and triglycerides. Covariates in females were age, BMI, PBF, aSMI, WC by BIA, total cholesterol, and triglycerides. Bold values indicate significant difference. β, partial regression coefficient; LS, locomotive syndrome; CI, confidence intervals; WC, waist circumference; BIA, bioelectrical impedance analysis; BMI, body mass index; PBF, percent body fat; aSMI, appendicular skeletal muscle index.