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. 2020 Feb;82(1):5–14. doi: 10.18999/nagjms.82.1.5

Table 3.

Logistic regression model for the prediction of LS

Variables Coefficient (ß) Odds ratio 95% CI p-value
EQ-5D-5L index -15.188 <0.001 <0.001–<0.001 <0.001***
Age 0.051 1.052 1.013–1.093 0.008**
Sex (male) -1.006 0.366 0.168–0.797 0.011*

*<0.05, **<0.01, ***<0.001

All variables (p <0.25) that showed a certain degree of difference in univariate analysis were used as covariates. The dependent variable was the LS. Covariates were age, sex, BMI, PBF, and EQ-5D-5L index.

LS, locomotive syndrome; EQ-5D-5L, EuroQol 5 dimensions, 5 level version; BMI, body mass index;

PBF, percent body fat; CI, confidence interval.