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Table 4 Hierarchical linear regression examining CSF T-tau as a function of sleep measures

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 c

R2

ΔR2

Model 4: age, sex and ApoE4 status only

Age

0.065

−0.016, 0.024

0.713

0.077

NA

Sex

−0.01

− 0.310, 0.297

0.966

ApoE4

0.262

−0.074, 0.532

0.134

Models 5 b: age, sex and ApoE4 status plus one sleep variable

N2 spindle density

−0.573

−0.772, − 0.224

0.001

0.361

0.284*

SWA

−0.265

−0.494, 0.099

0.184

0.129

0.052

WASO

−0.247

−0.408, 0.085

0.191

0.127

0.050

SE

0.310

−0.110, 1.672

0.084

0.163

0.086

AHI4%

−0.248

−0.185, 0.029

0.149

0.138

0.061

AHI-all

−0.278

−0.404, 0.057

0.135

0.142

0.065

TST in-lab

0.171

−0.082, 0.229

0.345

0.103

0.027

TST actigraphy

−0.063

−0.178, 0.129

0.749

0.080

0.003

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