Table 4.

The suggested cut points, sensitivity, specificity, and accuracy from the different statistical analyses. OLR: ordinary linear regression; MIX: mixed model regression; ROC 1: cut point with the highest product of sensitivity and specificity; ROC 2: cut point with the highest accuracy.

		Cut point	Sensitivity	Specificity	Accuracy
3 METs	OLR	720	0.923	0.489	0.826
	MIX	612	0.936	0.422	0.821
	ROC 1	1646	0.795	0.911	0.821
	ROC 2	1310	0.878	0.733	0.846
6 METs	OLR	5779	0.125	0.984	0.915
	MIX	4980	0.375	0.957	0.910
	ROC 1	3061	0.938	0.686	0.706
	ROC 2	7220	0.063	1.000	0.925