Table 3.

Linear regression models.

	Linear Regression Models	R2adjusted	Model Significance
MMSE-1	MMSE = 14.258 + 3.259 Ni	0.197	p = 0.029
MMSE-2	MMSE = 10.329 + 1.436 Education + 3.700 Ni	0.288	p = 0.022
MoCA-1	MoCA = 7.503 + 3.369 Ni	0.331	p = 0.029
MoCA-2	MoCA = −9.258 + 26.821 Se	0.361	p = 0.023
MoCA-3	MoCA = −9.460 + 2.851 Ni + 23.017 Se	0.622	p = 0.005
MoCA-4	MoCA = −16.147 + 1.556 Education + 3.525 Ni + 24.022 Se	0.679	p = 0.007

Note: MMSE = Mini Mental State Examination; MoCA = Montreal Cognitive Assessment; MMSE-n = regression models assuming MMSE total scores as the dependent variable; MoCA-n = regression models assuming MoCA total scores as the dependent variable.