Table 2.

Summary of hierarchical multiple regression analysis for variables predicting subjective sleep quality, based on cross-sectional data collected from 632 junior athletes.

	B	SE B	β	R2	ΔR2
Model 1
Sex (♂ = 0, ♀ = 1)	0.84	0.24	0.14∗	0.02	0.02
Model 2
Sex (♂ = 0, ♀ = 1)	1.03	0.22	0.17∗
Social Resources	−1.23	0.13	−0.35∗	0.14	0.12
Model 3
Sex (♂ = 0, ♀ = 1)	1.22	0.22	0.20∗
Social Resources	−0.96	0.13	−0.28∗
Structured Style	−0.58	0.10	−0.23∗	0.19	0.05
Model 4
Sex (♂ = 0, ♀ = 1)	0.63	0.22	0.11∗∗
Social Resources	−0.70	0.13	−0.20∗
Structured Style	−0.51	0.10	−0.21∗
Worry	0.06	0.01	0.29∗	0.26	0.07
Model 5
Sex (♂ = 0, ♀ = 1)	0.51	0.22	0.08∗∗∗
Social Resources	−0.53	0.14	−0.15∗
Structured Style	−0.41	0.10	−0.16∗
Worry	0.04	0.01	0.18∗
Perceived stress	0.08	0.01	0.21∗	0.28	0.02

^∗p < 0.000, ^∗∗p < 0.01, ^∗∗∗p < 0.05.