Participants

Among university students, 986 people responded to the invitation at W1 and 1354 at W2. We used the following matched criteria to compare the participants between W1 and W2: birthday and year, gender, place of residence, faculty, level, and year of the study. Those participants, whose demographic characteristics differed between W1 and W2 in at least one of these criteria, were excluded from the study. Among university students, we matched 216 individuals who participated in both W1 and W2 studies. The final sample of 216 people showed a power of 99 for ANOVA [λ = 18.00, critical F(1, 214) = 3.89], 99 for correlation analysis [critical r CI = (− 0.13, 0.13)], and 100 for linear multiple regression analysis [λ = 32.40, F(2, 213) = 3.04], by using G*Power software [40].

Among 216 participants, 125 were men (58%), and 91 were women (42%). The average age of the sample was 22 years (ranging from 20 to 36, M = 22.13, SD = 2.04). The place of residence reported by OUT students was a village (n = 104, 48%), town (n = 83, 38%), and city (n = 29, 13%). Most of the participants studied full-time (n = 188, 87%). The firstyear of the study represented 97 participants (45%), second-year 58 people (27%), third-year students were 43 (20%), and two of fifth-year individuals (1%). The first level of study (Bachelor’s degree) reported 162 students (75%), the second level (Master’s degree) 31 (14%), and five-years’ master’s study 23 (11%). In the sample, most persons studied at Faculty of Physical Education and Physiotherapy (n = 68, 32%), Electrical Engineering, Automatics and Computer Science (n = 59, 27%), Production Engineering and Logistics (n = 44, 20%), Mechanical Faculty (n = 66, 17%), Economics and Management (n = 7, 3%), and Construction and Architecture (n = 2, 1%).