Table 3.

The association of sleep disturbance with cognitive performance metrics.

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

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.