Table 3.
Demographic characteristics of the participants in the intervention (n = 77) and control (n = 85) groups at baseline.
| Variables | Category | n (%) intervention | n (%) control | p value∗ |
|---|---|---|---|---|
| Age (years) | 14 | 26 (33.76) | 24 (23.28) | 0.447 |
| 15 | 51 (66.24) | 61 (71.76) | ||
| Household size | 3 | 5 (6.5) | 12 (14.1) | 0.187 |
| 4 | 43 (55.8) | 36 (42.4) | ||
| 5 | 25 (32.5) | 26 (30.6) | ||
| ≥6 | 4 (5.2) | 11 (13) | ||
| Father's level of education | Low (up to secondary school) | 8 (10.4) | 38 (44.7) | 0.000 |
| High school and diploma | 40 (52) | 30 (35.3) | ||
| Academic | 29 (37.7) | 17 (20) | ||
| Mother's level of education | Low (up to secondary school) | 15 (19.5) | 37 (43.6) | 0.003 |
| High school and diploma | 39 (50.7) | 35 (41.2) | ||
| Academic | 23 (29.9) | 13 (15.6) | ||
| Father's occupation | Unemployed/worker/retired or dead | 15 (19.5) | 19 (22.3) | 0.047 |
| Self-employed | 40 (52) | 55 (64.7) | ||
| Governmental employee/doctor/engineer | 22 (27.3) | 11 (16.5) | ||
| Mother's occupation | Homemaker/retired | 59 (76.6) | 74 (87) | 0.087 |
| Worker/self-employed | 7 (9.1) | 5 (5.9) | ||
| Governmental employee/doctor/engineer | 11 (14.3) | 6 (7.1) |
∗Chi-square.