TABLE 2.

Results of Linear Regression Models Predicting BMI by Type of Screen Media Use

	Television						Video Games						Computer
	Model 1			Model 2			Model 1			Model 2			Model 1			Model 2
	B	SE	β	B	SE	β	B	SE	β	B	SE	β	B	SE	β	B	SE	β
Age	0.18	0.82	0.02	0.53	0.79	0.07	0.05	0.81	0.01	0.05	0.82	0.01	0.14	0.81	0.02	0.17	0.81	0.02
Female gender	1.68	1.17	0.15	1.77	1.12	0.16	1.46	1.18	0.13	1.34	1.25	0.12	1.69	1.16	0.15	1.42	1.21	0.13
Physical activity (h)	−0.59	0.28	−0.22b	−0.67	0.28	−0.25b	−0.60	0.28	−0.22b	−0.60	0.29	−0.23b	−0.66	0.29	−0.25b	−0.69	0.29	−0.26b
Duration (h)a	−0.10	0.13	−0.08	−0.26	0.14	−0.20	−0.19	0.23	−0.09	−0.14	0.32	−0.06	−0.24	0.18	−0.14	−0.16	0.21	−0.09
Percent primary attentiona	–			0.13	0.04	0.32c	–			−0.02	0.08	−0.05	–			−0.06	0.07	−0.10
Percent secondary/tertiary attentiona	–			−0.03	0.05	−0.05	–			0.06	0.25	0.03	–			−0.02	0.11	−0.02
Adjusted R2	.05			.13			.05			.03			.06			.05

Model 1 tests the association between the duration of the media use listed in the column and BMI adjusted for the other listed variables. Model 2 adds primary and secondary/tertiary attention to model 1.

^aDuration and attention variables correspond to use of the single medium type identified with the column header.

^bP < .05.

^cP < .01.