Skip to main content

Table 3 Hierarchical linear regression examining spindle density as a function of CSF proteins

From: Sleep oscillation-specific associations with Alzheimer’s disease CSF biomarkers: novel roles for sleep spindles and tau

Model a

Predictors

β

95% CI

p d

R2

ΔR2

Model 1: age, sex and ApoE4 status only

Age

−0.251

− 0.033, 0.002

0.081

0.128

NA

Sex

0.032

−0.234, 0.294

0.819

APOE ε4

0.232

−0.045, 0.500

0.100

Models 2 b: age, sex and ApoE4 status plus one CSF biomarker

42

−0.312

−0.79, − 0.043

0.030

0.216

0.088*

P-tau181

−0.456

−0.907, − 0.236

0.001

0.308

0.181*

T-tau

−0.539

−0.783, − 0.288

< 0.001

0.386

0.259*

T-tau/Aβ42 ratio

−0.415

−4.504, − 0.735

0.008

0.257

0.129*

Models 3 c: age, sex and ApoE4 status plus two CSF biomarkers

T-tau

−0.503

−0.784, − 0.216

0.001

0.390

0.004

+ Aβ42

−0.075

−0.479, 0.279

0.598

42

−0.152

−0.589, 0.182

0.294

0.325

−0.076*

+ P-tau181

−0.391

−0.859, − 0.121

0.010

  1. a. dependent variable: N2 spindle density
  2. b. change from model with covariates age, sex and ApoE4
  3. c. change from model with covariates age, sex, ApoE4 and CSF T-tau
  4. d. significance level for each predictor
  5. * denotes significant change in R2 from comparator model (p < 0.05)