Table 5.

Variables in multiple regression model to predict frailty in older adults

Model	Unstandardized coefficients		Standardized coefficients	t	Sig	95.0% confidence interval for B		Collinearity Statistics
	B	Std. Error	Beta			Lower bound	Upper bound	VIF
(Constant)	0.947	0.355		2.670	0.009	0.244	1.650
PASE score	− 0.005	0.002	− 0.182	− 2.119	0.037a	− 0.010	0.000	1.220
Mobility	0.081	0.023	− 0.318	− 3.488	0.001b	0.035	0.127	1.375
Depression	0.363	0.112	0.290	3.235	0.002b	0.140	0.586	1.327

N = 106. Frailty scores = 0.947−(0.00513 * PASE score) + (0.0807 * mobility) + (0.363 * depression). Model summary: R² = 0.384; Adjusted R² = 0.366; Analysis of variance: F = 21.178, p = 0.000. Normality test (Shapiro–Wilk): Passed (p = 0.495). Power of performed test with alpha = 0.050: 1.000. All independent variables appear to contribute to predicting frailty (p < 0.05)

PASE Physical Activity Scale for the Elderly; VIF variance inflation factor

^a < 0.05

^b < 0.01