. 2020 Dec 22;18(1):14. doi: 10.3390/ijerph18010014

Table 4.

Main effects of age groups and gender on changes in pre–post online media consumption.

	Age Group											Gender
	18–24		25–34		35–54		>55		F (3, 3228)	p	η²	Male		Female		F (1, 3228)	p	η²
	M	SD	M	SD	M	SD	M	SD	F (3, 3228)	p	η²	M	SD	M	SD	F (1, 3228)	p	η²
Gaming	0.31 ^a	0.69	0.15 ^b	0.55	0.068 ^c	0.46	0.03 ^c	0.32	33.00	<0.001	0.032	0.14	0.55	0.10	0.48	4.98	0.026	0.004
Erotic	0.15 ^a	0.56	0.02 ^b	0.42	0.02 ^b	0.37	0.02 ^b	0.31	12.02	<0.001	0.012	0.07	0.494	0.01	0.335	17.55	<0.001	0.005
Social media	0.33 ^a,b	0.62	0.35 ^a	0.57	0.26 ^b	0.58	0.16 ^c	0.49	15.99	<0.001	0.013	0.21	0.53	0.31	0.59	18.92	<0.001	0.003
Information research	0.30 ^a,b	0.66	0.37 ^a	0.68	0.34 ^a	0.65	0.23 ^b	0.60	4.78	0.003	0.004	0.19	0.59	0.39	0.67	70.00	<0.001	0.014
Streaming	0.42 ^a	0.73	0.37 ^a	0.65	0.33 ^a	0.68	0.21 ^b	0.59	10.25	<0.001	0.009	0.28	0.59	0.36	0. 70	10.24	0.001	0.003

Note. Dependent variable: The mean differences of responses (1: never, 2: rarely, 3: often, 4: very often) of self-reported consumption before and during the lockdown (range: −3 to +3). Different superscript letters indicate significant pairwise post-hoc differences between age categories by Tukey HSD. a: 18–24 years; b: 25–34 years; c: 35–54.