Table 4.

Results of the multiple regression analysis in Elderly (A) and Younger (B)

(A) Elderly
		Partial regression coefficient	SE	Standardised coefficient	T-value	Significance probability	R2	Adjusted R2	Significance probability
Model 1	(Constant)	0.106	0.117		0.906		0.725	0.724	***
	ASP_METs	1.191	0.043	0.852	27.483	***
Model 2	(Constant)	−2.017	0.446		−4.523	***	0.747	0.745	***
	ASP_METs	1.198	0.042	0.856	28.719	***
	Age	0.029	0.006	0.147	4.918	***
Model 3	(Constant)	−3.058	0.513		−5.962	***	0.759	0.757	***
	ASP_METs	1.201	0.041	0.859	29.486	***
	Age	0.034	0.006	0.171	5.745	***
	Weight	0.011	0.003	0.115	3.843	***

(B) Younger
		Partial regression coefficient	SE	Standardised coefficient	T-value	Significance probability	R2	Adjusted R2	Significance probability
Model 1	(Constant)	0.445	0.071		6.298	***	0.77	0.77	***
	ASP_METs	0.884	0.024	0.878	37.268	***
Model 2	(Constant)	−0.309	0.133		−2.32	*	0.792	0.791	***
	ASP_METs	0.885	0.023	0.879	39.187	***
	Weight	0.012	0.002	0.147	6.563	***
Model 3	(Constant)	−0.504	0.143		−3.521	***	0.798	0.796	***
	ASP_METs	0.884	0.022	0.878	39.623	***
	Weight	0.01	0.002	0.126	5.503	***
	Age	0.008	0.002	0.079	3.44	**

Dependent variable: METs measured using Douglas bag method (DB_METs).

Independent variables: age, sex, weight, body mass index (BMI) and METs predicted using Active style Pro HJA-750C (ASP_METs).

*p<0.05, **p<0.01, ***p<0.001.

ASP_METs, METs predicted by Active style Pro HJA-750C.