Table 7 Logistic regression analysis for factor associated with Good knowledge regarding Congo fever
Variables | Knowledge | Odds ratio | P-Value | |
|---|---|---|---|---|
Good knowledge | Poor knowledge | (95% CI) | ||
Gender | ||||
Female | 277 (45.26%) | 335 (54.74%) | 1.45(1.046–2.01) | 0.026 |
Male | 109 (37.97%) | 179 (62.03%) | Reference | – |
Profession | ||||
Physician | 254 (58.26%) | 182 (41.74%) | 1.413(0.974–2.049) | 0.068 |
Pharmacist | 132 (28.44%) | 332 (71.55%) | Reference | – |
Age | ||||
18–21 | 87 (29.79%) | 205 (70.21%) | 0.337(0.217–0.523) | < 0.001 |
22–25 | 129 (35.90%) | 230 (64.07%) | 0.482(0.324–0.716) | < 0.001 |
26 < | 170 (68.27%) | 79 (31.73%) | Reference | – |
Marital status | ||||
Married | 236 (64.13%) | 132 (35.87%) | 2.703(1.831–3.989) | < 0.001 |
Single | 150 (28.20%) | 382 (71.80%) | Reference | – |
College | ||||
Public Sector | 220 (51.04%) | 211 (48.96%) | 2.083(1.513–2.868) | < 0.001 |
Private Sector | 166 (35.39%) | 303 (64.61%) | Reference | – |
Study Year | ||||
Ph.D | 04 (33.30%) | 08 (66.67%) | 0.320(0.084–1.220) | 0.095 |
M.Phil | 54 (64.29%) | 30 (35.71%) | 1.389(0.808–2.389) | 0.235 |
5th year | 153 (38.25%) | 247 (61.75%) | 0.546(0.392–0.762) | < 0.001 |
4th year | 175(43.32%) | 229(56.68%) | Reference | |