Table 1.

Hierarchical multiple regression analysis for sensory-processing sensitivity.

		Step 1			Step 2			Step 3
		β	95% CI	p	β	95% CI	p	β	95% CI	p
Step 1
Sex	La	.117	[.073, .161]	<.001	.095	[.050, .140]	<.001	.093	[.049, .138]	<.001
	Eb	.119	[.075, .163]	<.001	.096	[.051, .141]	<.001	.094	[.049, .139]	<.001
	Ac	.093	[.049, .137]	<.001	.133	[.088, .177]	<.001	.132	[.088, .177]	<.001
Step 2
Age	L				−.099	[−.144, −.053]	<.001	−.102	[−.149, −.056]	<.001
	E				−.103	[−.148, −.057]	<.001	−.104	[−.151, −.057]	<.001
	A				.178	[.133, .224]	<.001	.181	[.135, .228]	<.001
Age2	L				−.011	[−.055, .033]	.631	−.013	[−.059, .032]	.562
	E				.017	[−.027, .062]	.443	.012	[−.033, .058]	.594
	A				.046	[.001, .090]	.041	.036	[−.009, .081]	.117
Step 3
Sex × Age	L							−.014	[−.060, .032]	.538
	E							−.023	[−.069, .023]	.330
	A							−.038	[−.083, .008]	.105
Sex × Age2	L							−.014	[−.060, .032]	.546
	E							−.003	[−.049, .043]	.909
	A							.022	[−.024, .067]	.347
R2	L	.014		<.001	.023		<.001	.023		<.001
	E	.014		<.001	.025		<.001	.026		<.001
	A	.009		<.001	.038		<.001	.040		<.001
ΔR2	L				.009		<.001	.000		.738
	E				.011		<.001	.000		.618
	A				.029		<.001	.002		.109

Note. ^aL = Low Sensory Threshold, ^bE = Ease of Excitation, ^cA = Aesthetic Sensitivity, Age² = Squared Term of Age.