Table 2.

Factors associated with a high amount of video gaming on weekdays (> 3 h/d) in the adolescent men (n = 698) in the logistic regression analysis^a

Variables	Adjusted OR	95% CI	P Value
Block 1: method = enter
Sitting during leisure time, hours	1.40	1.28–1.52	<.001
Block 2: method = forward stepwise (LR)
Low leisure-time physical activityb (vs. ≥ 500 MET-min weekly)	1.94	1.29–2.91	.001
Mean consumption frequency of vegetables and fruits, d/wk	0.83	0.72–0.97	.014
Mean consumption frequency of sweetened soft drinks and energy drinks, d/wk	1.28	1.06–1.55	.010

Note: Variables in bold in the Table 1 were significantly associated (p < .05) with high amount of video gaming (ref. group: ≤ 3 h/d playing video games) in univariate analysis and were entered in the binary logistic regression analysis. This is the final model resulting of the 3rd step

^a Nagelkerke R² = 25.1%

^b Total light and brisk MET < 500 min