Descriptive statistics for categorical variables (N=140)
| Categorical variables | n (%) |
|---|---|
| Gender: Male/Female | 11/129 (8:92) |
| Marital status | |
| Single | 101 (72.1) |
| Married | 33 (23.6) |
| Widowed | 6 (4.3) |
| Educational level | |
| Illiterate | 3 (2.1) |
| Primary school | 8 (5.7) |
| Secondary school | 63 (45.0) |
| Intermediate school | 12 (8.6) |
| High school | 4 (2.9) |
| College | 47 (33.6) |
| Postgraduate degree | 3 (2.1) |
| Occupation | |
| Student | 61 (43.6) |
| Unemployed | 23 (16.4) |
| Self employed | 19 (13.5) |
| Security forces | 23 (16.4) |
| Driver | 3 (2.1) |
| Farmer | 1 (0.7) |
| Teacher | 5 (3.6) |
| House Wife | 5 (3.6) |
| Cause of injury | |
| Assault | 1 (0.7) |
| Fall | 2 (1.4) |
| MVA | 133 (95.0) |
| Other | 4 (2.9) |
| Body site affected | |
| Tetraplegia | 100 (71.4) |
| Left Hemiplegia | 26 (18.6) |
| Right Hemiplegia | 11 (7.9) |
| Paraplegia | 3 (2.1) |
MVA–Motor vehicle accident