. 2020 Dec 15;8(4):565. doi: 10.3390/healthcare8040565

Table 4.

Logistic regression model for the prediction of locomotive syndrome incidence ^†.

	β_i	Adjusted Odds Ration	95% CI	p-Value
β₀	3.605
Body fat mass	0.203	1.225	1.000–1.502	0.050
Maximum walking speed	−2.520	0.080	0.019–0.341	0.001
Degree of forward lean	0.436	1.546	1.164–2.053	0.003
Nagelkerke R²	0.420

^† Binomial logistic regression analysis (likelihood ratio test using the variable increase method).