Table 5 The association of GSQS with cognitive performance metrics in Study 2.

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

Outcome

β

95% CI

t

df

p

BF01

ACC learning indices

ACC Higher-order sequence learning

0.029

[−0.17, 0.23]

0.278

102

0.78

10.87

ACC Statistical learning

−0.001

[−0.20, 0.20]

−0.013

102

0.99

10.08

ACC Triplet learning

0.000

[−0.20, 0.20]

0.000

102

1.00

10.15

RT learning indices

RT Higher-order sequence learning

−0.004

[−0.11, 0.10]

−0.070

102

0.94

10.14

RT Statistical learning

−0.105

[−0.32, 0.11]

−0.973

102

0.33

5.39

RT Triplet learning

−0.054

[−0.17, 0.07]

−0.866

102

0.39

16.46

General skill indices

ACC general skill learning

0.040

[−0.13, 0.21]

0.452

102

0.65

12.28

Average ACC

0.156

[−0.05, 0.36]

1.466

102

0.15

5.16

RT average

−0.176

[−0.39, 0.04]

−1.617

102

0.11

3.46

RT general skill learning

−0.104

[−0.30, 0.09]

−1.039

102

0.30

5.85

WM and EF indices

Counting Span

−0.062

[−0.26, 0.13]

−0.632

102

0.53

6.07

WCST – perseverative error

−0.009

[−0.13, 0.14]

−0.133

101

0.89

9.22

  1. Note: The table shows standardized regression coefficients for GSQS scores 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.