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. 2020 Mar 17;10:4855. doi: 10.1038/s41598-020-61627-6

Table 4.

The association of sleep diary with cognitive performance metrics in Study 2.

Outcome β 95% CI t df p BF01
ACC learning indices
ACC Higher-order sequence learning −0.077 [−0.28, 0.13] −0.749 97 0.46 7.73
ACC Statistical learning −0.031 [−0.24, 0.17] −0.296 97 0.77 8.09
ACC Triplet learning −0.111 [−0.31, 0.09] −1.092 97 0.28 4.46
RT learning indices
RT Higher-order sequence learning −0.001 [−0.11, 0.11] −0.025 97 0.98 9.76
RT Statistical learning −0.205 [−0.41, 0.00] −1.955 97 0.05 8.96
RT Triplet learning −0.059 [−0.19, 0.07] −0.917 97 0.36 11.28
General skill indices
ACC general skill learning −0.171 [−0.35, 0.01] −1.866 97 0.07 2.51
Average ACC 0.035 [−0.18, 0.25] 0.317 97 0.75 8.94
RT average −0.086 [−0.31, 0.13] −0.764 97 0.45 12.79
RT general skill learning −0.064 [−0.26, 0.14] −0.623 97 0.53 7.10
WM and EF indices
Counting Span −0.065 [−0.26, 0.13] −0.664 97 0.50 5.63
WCST – perseverative error 0.005 [−0.13, 0.14] 0.072 96 0.94 9.71

Note: The table shows standardized regression coefficients for sleep diary 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 ‘Data analysis’ section for details). ACC = accuracy. RT = reaction time. WM = working memory. EF = executive function. WCST = Wisconsin Card Sorting Test.