Table 2.

Direct effect of insomnia on creativity

Outcome	Predictor	Regression coefficient				Model fit
		β	95%CI	p		R	R 2
Creativity	Gender	−0.06	[−0.36, 0.11]		0.283	0.14	0.02
	Age	−0.03	[−0.14, 0.09]		0.628
	SESf	−0.02	[−0.03, 0.02]		0.720
	SESm	0.11	[−0.00, 0.04]		0.069
	Insomnia	0.03	[−0.08, 0.15]		0.577
Adventure	Gender	−0.05	[−0.34, 0.14]		0.403	0.09	0.01
	Age	−0.04	[−0.16, 0.07]		0.479
	SESf	−0.01	[−0.02, 0.02]		0.932
	SESm	0.00	[−0.02, 0.02]		0.976
	Insomnia	−0.07	[−0.19, 0.05]		0.245
Curiosity	Gender	0.03	[−0.18, 0.29]		0.670	0.09	0.01
	Age	0.01	[−0.11, 0.12]		0.901
	SESf	−0.00	[−0.02, 0.02]		0.962
	SESm	0.09	[−0.01, 0.04]		0.170
	Insomnia	−0.02	[−0.13, 0.10]		0.792
Imagination	Gender	−0.17	[−0.56,−0.11]		0.003	0.33	0.11
	Age	−0.07	[−0.18, 0.04]		0.194
	SESf	−0.07	[−0.03, 0.01]		0.243
	SESm	0.16	[0.01, 0.05]		0.009
	Insomnia	0.19	[0.08, 0.30]		0.001
Challenge	Gender	0.00	[−0.23, 0.24]		0.974	0.12	0.02
	Age	0.02	[−0.09, 0.14]		0.707
	SESf	0.02	[−0.02, 0.03]		0.747
	SESm	0.10	[−0.00, 0.04]		0.108
	Insomnia	−0.05	[−0.16, 0.07]		0.428

Note 0 = female, 1 = male; SESf = father socioeconomic status, SESm = mother socioeconomic status