Table 1.

Demographic characteristics and general website use of the sample

Variable	Missing cases/%	Total sample	App users	App non-users
		(N = 669)	(n = 403)	(n = 266)
		Mean (SD)	Mean (SD)	Mean (SD)
Age	0/0	24.06 (5.23)	23.80 (5.25)	24.45 (5.19)
Self-rated internet skills	4/0.6	6.20(1.15)	6.22(1.16)	6.16(1.14)
Self-rated smartphone skills**	15/2.2	5.55(1.67)	5.97(1.25)	4.90(2.01)
Intensity of activity on websites*	17/2.5	1.79(0.71)	1.84(0.71)	1.71(0.71)
Body mass index*	32/4.8	23.08 (4.31)	22.79 (3.99)	23.52 (4.72)
Weight status category (age/gender matched based on BMI percentile)		%	%	%
Underweight	32/4.8	6.3	6.3	6.3
Normal weight		70.0	71.4	68.0
Overweight		16.8	17.2	16.2
Obese		6.9	5.2	9.5
Gender**	0/0	83.6 female	87.1 female	78.2 female
Education
Primary	7/1.0	0.3	0.3	0.4
Secondary		39.3	40.0	38.2
Tertiary		60.4	59.8	61.5
Household income
Not enough to cover all expenses	3/0.4	2.4	1.7	3.4
Just covers all expenses		29.9	29.2	30.9
Covers all expenses, not a problem		60.7	60.8	60.4
It is high, no worry about expenses		7.1	8.2	5.3
Nationality
Czech	0/0	91.9	92.3	91.4
Slovak		7.5	7.4	7.5
Other		0.6	0.2	1.1
Daily/almost daily frequency of visits to websites
Nutrition websites***	0/0	46.9	52.1	39.1
Weight loss websites***		16.9	20.8	10.9
Exercise or sport websites***		37.2	42.9	28.6
Daily frequency of internet use	0/0	88.6	90.6	85.7
Daily frequency of smartphone use***	0/0	80.1	89.8	65.4

Note. Statistically significant difference at *p < .05, **p < .01, ***p < .001