Table 1

Results of univariate logistic regression for demographic data

VariableHC (N=59)
Mean (SD)
MCI (N=41)AD (N=45)P value
Mean (SD)OR95% CIP1Mean (SD)OR95% CIP2
Age, year58.73 (6.91)61.73 (7.84)1.0641.004 to 1.1280.03860.60 (6.265)1.0400.983 to 1.1000.1750.098*
No of females (%)35 (46.7)14 (34.1)0.3560.155 to 0.8140.01426 (57.8)0.9380.427 to 2.0620.8740.029†
MMSE26.52 (3.14)21.09 (3.91)0.6850.586 to 0.799<0.00113.89 (5.40)0.4970.401 to 0.617<0.001<0.001‡
Diabetes (%)2 (3.3)2 (4.9)0.6840.092 to 5.0650.7102 (4.4)0.7370.100 to 5.4450.7650.928†
Education level1.441 (0.82)1.977 (1.09)1.8311.179 to 2.8440.0070.004
Hypertension13 (21.3)3 (7.3)4.2521.139 to 15.8650.0310.057§
SSI8.26 (0.83)8.07 (0.85)0.5680.357 to 0.9020.0170.368§
  • Continuous variables were described by mean (SD), and frequencies (percentages) were used to describe categorical variables. P1 and P2 were calculated by univariate logistic regression analysis between MCI and HC, AD and HC respectively. P was a comparison result among the three groups of AD, MCI and HC.

  • *P value was obtained by ANOVA.

  • †The p value was obtained via χ2 test.

  • ‡The p value was obtained non-parametric tests.

  • §P value was obtained by Student’s t-test.

  • AD, Alzheimer's diseases; ANOVA, analysis of variance; HC, healthy controls; MCI, mild cognitive impairment; MMSE, Mini Mental State Examination; SSI, signal strength intensity.