From: Prevalence and related risks of cyberbullying and its effects on adolescent
Characteristics | Adolescents Being Cyberbullied | 95% C.I | p-value | |||
n | % | Lower | Upper | |||
Gender | Male | 54 | (47.8) | 38.7% | 57.0% | 0.096 |
Female | 98 | (40.5) | 34.5% | 46.8% | ||
Age Groups | 12–13 years | 45 | (35.7) | 27.7% | 44.3% | 0.053 |
14–15 years | 44 | (41.9) | 32.8% | 51.5% | ||
16–18 years | 63 | (50.8) | 42.1% | 59.5% | ||
Grades | Sixth Primary | 9 | (34.6) | 18.7% | 53.7% | 0.452 |
1st Intermediate | 10 | (34.5) | 19.3% | 52.6% | ||
2nd Intermediate | 18 | (40.0) | 26.7% | 54.6% | ||
3rd Intermediate | 26 | (45.6) | 33.2% | 58.5% | ||
1st Secondary | 9 | (30.0) | 16.0% | 47.7% | ||
2nd Secondary | 40 | (49.4) | 38.7% | 60.1% | ||
3rd Secondary | 39 | (46.4) | 36.0% | 57.1% | ||
Mode of living | Town | 70 | (40.5) | 33.4% | 47.9% | 0.382 |
Village | 82 | (45.1) | 38.0% | 52.3% | ||
Mother’s level of education | Illiterate | 32 | (47.8) | 36.1% | 59.6% | 0.231 |
Primary | 17 | (30.9) | 19.9% | 43.9% | ||
Intermediate | 18 | (52.9) | 36.5% | 68.9% | ||
Secondary | 28 | (40.0) | 29.1% | 51.7% | ||
University | 57 | (44.2) | 35.8% | 52.8% | ||
Mother’s occupation | HW | 106 | (39.7) | 34.0% | 45.7% | 0.184 |
Retired | 4 | (40.0) | 15.3% | 69.6% | ||
Government employee | 35 | (51.5) | 39.7% | 63.1% | ||
Private sector | 2 | (66.7) | 17.7% | 96.1% | ||
Own business | 5 | (71.4) | 35.2% | 93.5% | ||
Father’s occupation | Not working | 23 | (51.1) | 36.8% | 65.3% | 0.424 |
Retired | 44 | (44.0) | 34.6% | 53.8% | ||
Government employee | 69 | (43.1) | 35.6% | 50.9% | ||
Private sector employee | 7 | (29.2) | 14.1% | 48.9% | ||
Own business | 9 | (34.6) | 18.7% | 53.7% | ||
Hours spent on electronic devices | Less than 2Â h | 17 | (36.2) | 23.6% | 50.4% | 0.897 |
2–4 h | 39 | (41.9) | 32.3% | 52.1% | ||
4–8 h | 38 | (45.2) | 34.9% | 55.9% | ||
8–12 h | 27 | (44.3) | 32.3% | 56.8% | ||
More than 12Â h | 31 | (44.3) | 33.1% | 56.0% | ||
Overall Prevalence | 152 | (42.8) | 37.7% | 48.0% | Â |