Table 1.
Baseline demography of the pre- and final-year Veterinary students (n = 353) sampled from eight Veterinary Faculties from Nigeria, South Africa and Sudan, 2014.
| Variables | Frequency (%) |
|---|---|
| Country | |
| Nigeria | 105 (29.7) |
| South Africa | 71 (20.1) |
| Sudana | 177 (50.1) |
| Class of veterinary studentsa | |
| Pre-final year | 163 (46.2) |
| Final year | 184 (52.1) |
| Genderb | |
| Male | 204 (57.8) |
| Female | 145 (41.1) |
| Agec | |
| 20–27 | 279 (79.0) |
| 28–35 | 30 (8.5) |
| 36–43 | 4 (1.1) |
| Likely career choice post- graduation# | |
| Small animal practice | 77 (21.8) |
| Equine practice | 42 (11.9) |
| Mixed practice | 74 (21.0) |
| Feedlot | 44 (12.5) |
| Dairy | 36 (10.2) |
| Wildlife | 31 (8.8) |
| Gross pathology | 32 (9.1) |
| Pharmaceutical industry | 68 (19.3) |
| State service | 60 (17.0) |
| Beef Cattle | 56 (15.9) |
| Sheep and goats | 45 (12.8) |
| Pig | 17 (4.8) |
| Poultry | 94 (26.6) |
| Laboratory medicine/Clinical pathology | 36 (10.2) |
| Exotic pet medicine | 36 (10.2) |
| Education | 32 (9.1) |
| Undecided | 27 (7.7) |
| Other choices | 32 (9.1) |
| Previous knowledge in the fielda* | |
| No | 268 (77.2) |
| Yes | 79 (22.8) |
| Overall | 353 (100) |
a
6 missing data;
b
4 missing data;
c
40 missing data; Mean age of the study participants = 24.7 ± 2.8 years;
#
the mean for number of likely career choice = 2 ± 2 (5 persons made no choice).
*
previous knowledge in the field meant that student has done previous studies at post-secondary school levels in pharmacology, biological research, microbiology or pharmacy, which may bias the opinion of respondents or influence the responses to antimicrobial-related questions.