Table 5.
Relation between socio-demographic characteristics of the participants and their knowledge scores about COVID-19 (n = 559)
| Socio-demographic characteristics | Category# | Knowledge score | Test of sig. (p) | |
|---|---|---|---|---|
| Min–max | Mean ± SD | |||
| Sex | t = 0.793 (0.428) | |||
| Male | 7–22 | 16.27 ± 2.63 | ||
| Female | 8–22 | 16.46 ± 2.62 | ||
| Age (years) |
F = 6.330 (< 0.001)* a vsd; < 0.001*, a vs e; 0.012*, bvsd; < 0.001*, bvse; 0.024*, cvsd = 0.003* |
|||
| 18–< 30 | a | 7–22 | (16.68 ± 2.69) | |
| 30–< 40 | b | 10–22 | (16.57 ± 2.51) | |
| 40–< 50 | c | 10–20 | (16.32 ± 2.15) | |
| 50–< 60 | d | 10–20 | (14.88 ± 2.45) | |
| ≥ 60 | e | 9–21 | (15.26 ± 3.05) | |
| Area of residence | t = 4.859 (< 0.001)* | |||
| Urban | 10–22 | 16.66 ± 2.53 | ||
| Rural | 7–21 | 15.35 ± 2.74 | ||
| Highest level of education |
F = 22.948 (< 0.001)* a vsc; < 0.001*, a vsd; < 0.001*, a vse; < 0.001*, bvsd; < 0.001*, bvse; < 0.001*, cvsd < 0.001*, cvse < 0.001* |
|||
| Illiterate | a | 8–16 | (12.47 ± 2.53) | |
| Primary school | b | 10–18 | (14.25 ± 2.49) | |
| Preparatory/high school | c | 7–21 | (15.43 ± 2.57) | |
| University | d | 10–22 | (16.87 ± 2.41) | |
| Higher studies | e | 10–22 | (17.19 ± 2.33) | |
| Monthly income (LE) |
F = 6.999 (< 0.001)* a vsc; 0.011*, a vsd; 0.002*, a vse; < 0.001*, bvsc; 0.031*, bvsd; 0.005*, bvse < 0.001* |
|||
| < 2000 | a | 10–21 | (15.11 ± 2.57) | |
| 2000–< 5000 | b | 7–22 | (16.0 ± 2.75) | |
| 5000–< 8000 | c | 10–22 | (16.7 ± 2.38) | |
| 8000–< 10,000 | d | 10–21 | (17.2 ± 2.28) | |
| ≥ 10,000 | e | 11–22 | (17.24 ± 2.42) | |
t Student’s t test, F analysis of variance (ANOVA) test
*Statistically significant at p < 0.05
#Categories of variables with significant ANOVA results. Multiple comparisons between each 2 categories are done by post hoc analysis (LSD)