Table 3 The association of sleep disturbance with cognitive performance metrics.

From: The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies

Outcome

β

95% CI

df

p

BF01

ACC learning indices

ACC Higher-order sequence learning

−0.041

[−0.18, 0.11]

205

0.58

12.28

ACC Statistical learning

−0.038

[−0.17, 0.09]

205

0.56

12.42

ACC Triplet learning

−0.067

[−0.19, 0.06]

205

0.30

8.50

RT learning indices

RT Higher−order sequence learning

0.014

[−0.15, 0.16]

205

0.85

14.29

RT Statistical learning

−0.062

[−0.21, 0.07]

205

0.39

10.48

RT Triplet learning

−0.028

[−0.17, 0.12]

205

0.71

13.60

General skill indices

ACC general skill learning

0.037

[−0.06, 0.13]

205

0.45

11.06

Average ACC

0.065

[−0.04, 0.17]

205

0.23

6.79

RT average

−0.019

[−0.17, 0.12]

205

0.80

14.05

RT general skill learning

−0.075

[−0.23, 0.07]

205

0.33

8.83

WM and EF indices

Counting Span

−0.013

[−0.17, 0.14]

205

0.87

14.35

WCST – perseverative error

0.107

[−0.03, 0.24]

199

0.13

5.01

  1. Note: The table shows standardized regression coefficients for sleep disturbance, where the ‘Study’ random intercept was included in separate linear mixed-effect models for each cognitive performance metrics. Age, gender, and morningness score were added as covariates. BF01 was derived from BIC (see the ‘Data analysis’ section for details). ACC = accuracy. RT = reaction time. WM = working memory. EF = executive function. WCST = Wisconsin Card Sorting Test.