Table 2:
Distribution of stress levels according to gender across the fields of education*
| Field of education | Stress | Gender | Total | P value | |
|---|---|---|---|---|---|
| Female | Male | ||||
| Dental n (%) | Absent | 177 (67.6) | 109 (78.4) | 286 (71.3) | |
| Present | 85 (32.4) | 30 (21.6) | 115 (28.7) | 0.022 | |
| Total | 262 | 139 | 401 | ||
| Engineering n (%) | Absent | 180 (77.6) | 155 (83.8) | 335 (80.3) | |
| Present | 52 (22.4) | 30 (16.2) | 82 (19.7) | 0.114 | |
| Total | 232 | 185 | 417 | ||
| Medical n (%) | Absent | 132 (72.5) | 172 (76.8) | 304 (74.9) | |
| Present | 50 (27.5) | 52 (23.2) | 102 (25.1) | 0.325 | |
| Total | 182 | 224 | 406 | ||
| Total n (%) | Absent | 489 (72.3) | 436 (79.6) | 925 (75.6) | |
| Present | 187 (27.7) | 112 (20.4) | 299 (24.4) | 0.003 | |
| Total | 676 | 548 | 1224 | ||
df = degrees of freedom.
*
The association of stress with field of education was statistically significant (chi-square value = 9.156, degrees of freedom = 2 and P value = 0.01).