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

Table 4.

Logistic regression model for the prediction of LS in subgroup analysis

Variables Coefficient (ß) Odds ratio 95% CI p-value
Mobility 1.457 4.293 2.556–7.211 <0.001***
Pain/discomfort 1.189 3.283 2.020–5.336 <0.001***
Self-care 1.675 5.338 1.179–24.163 0.030*

*<0.05, ***<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 LS. Covariates were EQ-5D-5L dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression).

LS, locomotive syndrome; CI, confidence interval; EQ-5D-5L, EuroQol 5 dimensions, 5 level version.