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Table 1 Demographic and Clinical Characteristics Disaggregated by Cohort

From: Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer’s disease spectrum: a COMPASS-ND study

Characteristic

CU

(n = 60)

SCI

(n = 36)

MCI

(n = 116)

AD

(n = 43)

sig

n (% female)

49 (82%)a

30 (83%)a

57 (49%)b

13 (30%)c

***

Age (years)

69.23 (5.52)a

69.62 (6.81)a

71.16 (6.48)a

75.26 (7.70)b

***

Education (years)

15.84 (3.15)

17.49 (3.11)

15.75 (3.89)

15.34 (4.37)

ns

n (% married)

37 (62%)a

17 (47%)a

75 (65%)a

35 (81%)b

*

n (% non-Hispanic White)

58 (97%)a

34 (94%)a,b

100 (86%)b

42 (98%)a

*

n (% community dwelling)^

60 (100%)

36 (100%)

116 (100%)

43 (100%)

ns

n (% residing with spouse)^^

43 (72%)a,b

20 (56%)b

85 (73%)a

37 (86%)a

*

MoCA

27.90 (1.50)a

27.81 (1.33)a

24.28 (3.08)b

18.63 (3.56)c

***

  1. Results are presented as mean (standard deviation) unless noted as otherwise. p-values are based on one-way analysis of variance (with post-hoc Tukey tests) or chi-square tests, as appropriate. ^ Self-reported as living in a house, apartment, or condo. ^^ Self-reported as living with a spouse or significant other. a,b,c Denotes values that differ significantly. Abbreviations: CU, cognitively unimpaired; SCI, subjective cognitive impairment; MCI, mild cognitive impairment; AD, Alzheimer’s disease; sig, significance; ns, not significant; MoCA, Montreal Cognitive Assessment.
  2. *p-value < 0.05 ***p-value < 0.001.