Table 2. Multiple regression analysis of predictors of LDR proportion.

Term	B	SE B	95% CI		β	t	p
			LL	UL
Intercept	0.323	0.238	-0.149	0.795	0.000	1.359	0.178
Age	0.004	0.008	-0.011	0.020	0.079	0.571	0.569
Gender (Male)	0.035	0.018	-0.001	0.072	0.197	1.937	0.056
Education
Hauptschulabschlussa	-0.195	0.153	-0.500	0.110	-0.281	-1.270	0.208
Fachabiturb	0.129	0.147	-0.164	0.422	0.186	0.872	0.385
Abiturc	0.046	0.057	-0.068	0.160	0.152	0.806	0.422
Bachelor	0.041	0.064	-0.086	0.169	0.116	0.646	0.520
Master/Diplom (Reference)
Disposable income	0.000	0.000	0.000	0.000	-0.110	-1.065	0.290
Years of smartphone ownership	0.011	0.011	-0.012	0.033	0.102	0.954	0.343
Consideration of future consequences	0.000	0.003	-0.006	0.007	0.018	0.161	0.873
Self-control	0.001	0.003	-0.004	0.007	0.058	0.484	0.629
Response inhibition	-0.002	0.001	-0.004	0.001	-0.159	-1.542	0.127
Net screen time	-0.028	0.012	-0.053	-0.004	-0.243	-2.348	0.021

^a German school leaving certificate awarded after 9th grade.

^b German school certificate to enter University of Applied Sciences.

^c German High School Diploma.

Note: Effect coding was applied for categorical variables.