Mobile Digital Neurocognitive Assessment for Mild Cognitive Impairment and Alzheimer’s Disease: Validationin an Elderly Chinese Population : Table 1

Table 1: Population characteristics according to clinical diagnosis and cognitive assessment.
*: p value of one-way ANOVA for Age and Education Years. p value of Chi-squared test for Gender. p value of t-test for MMSE, ADAS-Cog, and CDRSB.

Characteristics	Normal (N=265)	MCI (N=28)	AD (N=21)	Comparison test P value*	Univariate logistic regression P value
Age, mean (SD)	62.3 (8.00)	72.14 (8.20)	72.57 (7.00)	< 0.0001	< 0.0001 for Normal vs. MCI
					< 0.0001 for Normal vs. AD
					< 0.0001 for Normal vs. MCI/AD
					0.844 for MCI vs. AD
Gender, number of female (%)	191 (72.1)	15 (53.6)	11 (52.4)	0.891	NA
Education Years, mean (SD)	10.43 (2.39)	11.57 (3.94)	13.38 (2.46)	< 0.001	< 0.0001 for Normal vs. MCI
					< 0.05 for Normal vs. AD
					< 0.0001 for Normal vs. MCI/AD
					< 0.1 for MCI vs. AD
MMSE total score, mean (SD)		27.64 (1.39)	22.29 (2.12)	< 0.0001	< 0.05
ADAS-Cog total score, mean (SD)		16.36 (4.96)	23.14 (8.47)	< 0.01	< 0.001
CDRSB, mean (SD)		1.61 (1.07)	2.95 (1.77)	< 0.01	< 0.01