Table 1.
Sensitivity analysis based on sociodemographic and academic variables.
Variables | Q1 (n = 195) | Q2 (n = 117) | p † | |
---|---|---|---|---|
n (%) | n (%) | |||
Biological sex | Male | 49 (25.1) | 32 (27.4) | 0.36 |
Female | 146 (74.9) | 85 (72.7) | ||
Age | 18 to 20 years | 46 (23.6) | 31 (26.7) | 0.63 |
21 to 25 years | 87 (44.6) | 53 (45.7) | ||
26 to 30 years | 36 (18.5) | 17 (14.7) | ||
31 to 35 years | 14 (7.2) | 6 (5.2) | ||
36 to 52 years | 12 (6.2) | 9 (7.8) | ||
Academic course | Nutrition | 15 (7.7) | 7 (6.0) | 0.17 |
Physical Education | 47 (24.0) | 29 (24.8) | ||
Nursing | 25 (12.8) | 14 (12.0) | ||
Aesthetics and Cosmetics | 8 (4.1) | 2 (1.7) | ||
Physiotherapy | 34 (17.3) | 22 (18.8) | ||
Law | 19 (9.7) | 13 (11.1) | ||
Psychology | 39 (19.9) | 25 (21.4) | ||
Social work | 5 (2.6) | 3 (2.56) | ||
Academic shift | Morning | 39 (20.1) | 24 (20.5) | 0.92 |
Evening | 38 (18.6) | 20 (17.9) | ||
Night | 119 (61.3) | 73 (62.4) |
Significant values are in bold (p < 0.05). Q1, questionnaire first application; Q2, questionnaire second application.
Chi-square goodness-of-fit test.