| Literature DB >> 25916026 |
Abstract
INTRODUCTION: Food-borne disease outbreaks remain a major global health challenge and cross-contamination from raw meat due to poor handling is a major cause in developing countries. Adequate knowledge of meat handlers is important in limiting these outbreaks. This study evaluated and compared the safe meat-handling knowledge, attitudes and practices (KAP) of private (PMPP) and government meat processing plants' (GMPP) workers in south-western Nigeria.Entities:
Mesh:
Year: 2014 PMID: 25916026 PMCID: PMC4718335
Source DB: PubMed Journal: J Prev Med Hyg ISSN: 1121-2233
Knowledge of safe meat-handling amongst meat handlers in private and Government meat processing plants.
| Statements | Private | Government | ||
|---|---|---|---|---|
| Correct answers (%) | Incorrect answers (%) | Correct answers (%) | Incorrect answers (%) | |
| Heard of the term HACCP. | 23.6 | 76.4 | 0.0 | 100.0 |
| Improper handling of meat could pose health hazards to consumers. | 81.8 | 18.2 | 91.1 | 8.9 |
| Insects and pests could be a source of contamination to raw meat. | 81.8 | 18.2 | 65.2 | 34.8 |
| Knew the symptoms associated with food poisoning. | 100.0 | 0.0 | 4.4 | 95.6 |
| Knew the causes of food borne illness. | 63.6 | 36.4 | 56.3 | 43.7 |
| Regular washing of hands during meat processing reduces risk of contamination. | 72.7 | 27.3 | 94.1 | 5.9 |
| High temperature or freezing is a safe method to destroy bacteria. | 80.0 | 20.0 | 70.4 | 29.6 |
| People with open skin injury, gastroenteritis, and ear or throat diseases should not be allowed to handle meat. | 85.5 | 14.5 | 31.1 | 68.9 |
| Washing and disinfection of working surfaces and tools are important to safety of meat. | 87.3 | 12.7 | 34.8 | 65.2 |
| Regular rotation of disinfectants for cleaning can reduce the risk of meat contamination from working surfaces and cutting tools. | 50.9 | 49.1 | 1.5 | 98.5 |
Relationship of meat handlers' knowledge, attitude and practice levels on safe meat-handling and their socio-demographic characteristics.
| Knowledge | Attitudes | Practices | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables | Good n (%) | Poor n (%) | Good n (%) | Poor n (%) | Good n (%) | Poor n (%) | Total n (%) | ||||||
| Private | 52 (94.6) | 3 (5.4) | 31.877 | 0.000 | 50 (90.9) | 5 (9.1) | 92.440 | 0.000 | 54 (98.2) | 1 (1.8) | 67.313 | 0.000 | 55 (28.9) |
| Government | 69 (51.1) | 66 (48.9) | 22 (16.3) | 113 (83.7) | 44 (32.6) | 91 (67.4) | 135 (71.1) | ||||||
| 15-30 | 62 (74.7) | 21 (25.3) | 8.531 | 0.014 | 51 (61.5) | 32 (38.5) | 35.265 | 0.000 | 59 (71.1) | 24 (28.9) | 22.633 | 0.000 | 83 (43.7) |
| 31-50 | 48 (53.3) | 42 (46.7) | 19 (21.1) | 71 (78.9) | 32 (35.6) | 58 (64.4) | 90 (47.4) | ||||||
| ≥51 | 11 (64.7) | 6 (35.3) | 2 (11.8) | 15 (88.2) | 7 (41.2) | 10 (58.8) | 17 (8.9) | ||||||
| Male | 82 (61.7) | 51 (38.3) | 0.790 | 0.374 | 43 (32.3) | 90 (67.7) | 5.832 | 0.016 | 62 (46.6) | 71 (53.4) | 4.371 | 0.037 | 133 (70.0) |
| Female | 39 (68.4) | 18 (31.6) | 29 (50.9) | 28 (49.1) | 36 (63.2) | 21 (36.8) | 57 (30.0) | ||||||
| None | 33 (63.5) | 19 (36.5) | 9.354 | 0.009 | 14 (26.9) | 38 (73.1) | 36.877 | 0.000 | 26 (63.5) | 26 (36.5) | 28.039 | 0.000 | 52 (27.4) |
| Low | 36 (51.4) | 34 (48.6) | 13 (18.6) | 57 (81.4) | 21 (51.4) | 49 (48.6) | 70 (36.8) | ||||||
| High | 52 (76.5) | 16 (23.5) | 45 (66.2) | 23 (33.8) | 51 (64.4) | 17 (35.6) | 68 (35.8) | ||||||
| ≤ 3 | 35 (87.5) | 5 (12.5) | 15.062 | 0.002 | 31 (77.5) | 9 (22.5) | 49.654 | 0.000 | 35 (87.5) | 5 (12.5) | 26.428 | 0.000 | 40 (21.0) |
| 4-10 | 32 (65.3) | 17 (34.7) | 24 (49.0) | 25 (51.0) | 22 (44.9) | 27 (55.1) | 49 (25.8) | ||||||
| 11-20 | 34 (50.8) | 33 (49.2) | 14 (20.9) | 53 (79.1) | 27 (40.3) | 40 (59.7) | 67 (35.3) | ||||||
| >20 | 20 (58.8) | 14 (41.2) | 3 (8.8) | 31 (91.2) | 14 (41.2) | 20 (58.8) | 34 (17.9) | ||||||
| 121 (63.7) | 69 (36.3) | 72 (37.9) | 118 (62.1) | 98 (51.6) | 92 (48.4) | 190 (100.0) | |||||||
Significant at p <0.05 REF: Reference
Logistic regression predicting food handlers' safe meat handling with knowledge, attitude and practice levels as independent variables.
| Variables | Knowledge | Attitudes | Practice | |||
|---|---|---|---|---|---|---|
| OR | CI | OR | CI | OR | CI | |
| Types of meat plants | ||||||
| Private | 1.0 | 1.0 (REF) | 1.0 (REF) | |||
| Government | 0.060 | 0.018–0.203 | 0.019 | 0.007-0.054 | 0.009 | 0.001–0.067 |
| Age group | ||||||
| 15-30 | 1.0 (REF) | 1.0 (REF) | 1.0 (REF) | |||
| 31-50 | 0.387 | 0.203-0.738 | 0.168 | 0.086-0.329 | 0.224 | 0.118-0.426 |
| ≥ 51 | 0.621 | 0.204-1.886 | 0.084 | 0.018-0.0.390 | 0.285 | 0.097-0.835 |
| Gender | ||||||
| Male | 1.0 (REF) | 1.0 (REF) | ||||
| Female | 2.168 | 1.150-4.086 | 1.963 | 1.038-3.711 | ||
| Level of education | ||||||
| None | 1.0 (REF) | 1.0 (REF) | 1.0 (REF) | |||
| Low | 0.610 | 0.293-1.270 | 0.619 | 0.262-1.462 | 0.429 | 0.203-0.904 |
| High | 1.871 | 0.845-4.145 | 5.311 | 2.404-11.729 | 3.000 | 1.386-6.496 |
| Work experience (years) | ||||||
| ≤ 3 | 1.0 (REF) | 1.0 (REF) | 1.0 (REF) | |||
| 4-10 | 0.269 | 0.089-0.813 | 0.279 | 0.110-0.706 | 0.116 | 0.039-0.347 |
| 11-20 | 0.147 | 0.051-0.422 | 0.077 | 0.030-0.198 | 0.096 | 0.033-0.277 |
| > 20 | 0.205 | 0.064-0.651 | 0.028 | 0.007-0.114 | 0.100 | 0.031-0.319 |
REF: Reference
N/A: Not applicable (Variable not significant at 10% significant level and was not entered into logistic model
Attitudes toward safe meat-handling amongst meat handlers in private and Government meat processing plants.
| Statements | Private | Government | ||||
|---|---|---|---|---|---|---|
| Yes (%) | No (%) | Uncertain (%) | Yes (%) | No (%) | Uncertain (%) | |
| We should not handle meat with an open wound. | 83.6 | 5.5 | 10.9 | 23.7 | 58.5 | 17.8 |
| Sneezing or coughing without covering our noses or mouth could contaminate the meat. | 80.0 | 5.5 | 14.5 | 20.7 | 73.3 | 5.9 |
| Regular training could improve meat safety and hygiene practices. | 89.1 | 7.3 | 3.6 | 22.2 | 54.1 | 23.7 |
| Wearing protective clothing and shoes could help improve work safety and hygiene practices. | 80.0 | 14.6 | 5.4 | 19.3 | 52.6 | 28.1 |
| Putting on hair cover on the head is a good practice in food industry. | 87.3 | 3.6 | 9.1 | 17.8 | 48.9 | 33.3 |
| It is important to use potable water to wash working surfaces and cutting tools after disinfection. | 87.3 | 10.9 | 1.8 | 84.4 | 10.4 | 5.2 |
| We should not use non-potable water for meat processing. | 56.4 | 38.1 | 5.5 | 86.7 | 10.4 | 2.9 |
| Meat handlers can only contaminate meat when they are ill. | 47.3 | 47.3 | 5.4 | 10.4 | 39.2 | 50.4 |
| Meat handlers can get ill if they have contact only with the blood of animals during work activity. | 47.3 | 23.6 | 29.1 | 3.0 | 60.7 | 36.3 |
| Changing or sterilizing the knives in-between meat processing could limit cross contamination of meat. | 49.1 | 29.1 | 21.8 | 5.2 | 78.5 | 16.3 |
Practices of safe meat-handling amongst meat handlers in private and Government meat processing plants.
| Statements | Private | Government | ||
|---|---|---|---|---|
| Correct answers (%) | Incorrect answers (%) | Correct answers (%) | Incorrect answers (%) | |
| I wash my aprons after each day's work. | 47.3 | 52.7 | 3.7 | 96.3 |
| I replace my knives or sterilize them after each meat processing. | 58.2 | 41.8 | 0.0 | 100.0 |
| I wash my hands before and after handling meat. | 78.2 | 21.8 | 41.5 | 58.5 |
| I use potable water to process meat. | 81.8 | 18.2 | 97.8 | 2.2 |
| I protect any skin cut I sustain whenever I want to process meat. | 85.5 | 14.5 | 45.9 | 54.1 |
| I do not process meat when I am ill especially due to gastroenteritis, cough or skin diseases. | 76.4 | 23.6 | 33.3 | 66.7 |
| I freeze my left-over meat after each day's work. | 92.7 | 7.3 | 97.8 | 2.2 |