| Literature DB >> 35742050 |
Wan Nor Fatihah Wan Nawawi1, Vimala Ramoo1, Mei Chan Chong1, Noor Hanita Zaini1, Ping Lei Chui1, Zamzaliza Abdul Mulud2.
Abstract
Foodborne diseases are one of the greatest public health threats, but they can be prevented by maintaining food safety practices. Although the food safety literature has been awash with studies from various food operations, there is very limited information on food safety in the food truck business. Therefore, this study aims to assess the level of knowledge, attitude, and practices related to food safety among food truck vendors. A cross-sectional study was conducted among 396 Malaysian food truck vendors using convenience sampling. Data was collected during the Recovery Movement Control Order due to the COVID-19 pandemic through a validated self-administered questionnaire and analyzed using SPSS version 25. The findings indicated that food truck vendors generally have fair knowledge (M = 78.8, SD = 9.09), a positive attitude (M = 94.8, SD = 5.95), and good practices (M = 84.7, SD = 6.62) regarding food safety during the COVID-19 pandemic. Hierarchical regression analysis further showed that food truck vendors' level of education and knowledge of food safety are significant predictors of their food safety practices. This study provides an initial understanding of the food safety knowledge, attitude, and practices among food truck vendors and yields important information in promoting the food safety culture.Entities:
Keywords: attitude; food safety; food truck vendors; knowledge; practice
Year: 2022 PMID: 35742050 PMCID: PMC9222723 DOI: 10.3390/healthcare10060998
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Level of KAP of food safety among FTVs during COVID-19 pandemic (N = 396).
| Variables | Range of Score | Frequency (n) | Percentage (%) | Mean ( |
|---|---|---|---|---|
| Knowledge | 78.84% (9.09) | |||
| Good | ≥80.00% | 193 | 48.7 | |
| Fair | 60.00–79.99% | 187 | 47.3 | |
| Poor | <60.00% | 16 | 4.0 | |
| Attitude | 94.84% (5.95) | |||
| Positive | ≥80.00% | 330 | 83.3 | |
| Neutral | 60.00–79.99% | 34 | 8.6 | |
| Negative | <60.00% | 32 | 8.1 | |
| Practices | 84.65% (6.62) | |||
| Good | ≥80.00% | 351 | 88.6 | |
| Moderate | 60.00–79.99% | 42 | 10.6 | |
| Poor | <60.00% | 3 | 0.8 |
KAP of food safety during COVID-19 pandemic according to FTVs’ sociodemographic characteristics (N = 396).
| Characteristics | Frequency | Percentage (%) | Knowledge | Attitude | Practice | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean |
|
| Mean |
|
| Mean |
|
| ||||||
| Gender | −0.690 a | 0.490 | 0.451 a | 0.652 | 0.746 c | 0.457 | ||||||||
| Male | 259 | 65.4 | 78.61 | 9.075 | 95.04 | 5.848 | 84.85 | 5.863 | ||||||
| Female | 137 | 34.6 | 79.28 | 9.136 | 94.46 | 6.164 | 84.28 | 7.859 | ||||||
| Age (in years) | 0.996 b | 0.370 | 0.532 b | 0.588 | 0.252 b | 0.777 | ||||||||
| <23 | 160 | 40.4 | 79.51 | 8.677 | 94.00 | 5.864 | 84.67 | 5.758 | ||||||
| 23–29 | 146 | 36.9 | 78.05 | 9.374 | 94.18 | 6.341 | 84.41 | 6.947 | ||||||
| ≥30 | 90 | 22.7 | 78.94 | 9.339 | 95.82 | 5.470 | 85.04 | 7.499 | ||||||
| Nationality | 5.788 a | 0.001 ** | 1.512 c | 0.135 | 3.640 c | 0.001 * | ||||||||
| Malaysian | 338 | 85.4 | 79.89 | 8.282 | 95.28 | 5.699 | 85.27 | 6.078 | ||||||
| Non – Malaysian | 58 | 14.6 | 72.71 | 11.055 | 92.28 | 7.185 | 81.09 | 8.363 | ||||||
| Marital status | 0.830 a | 0.407 | 0.167 a | 0.867 | 1.316 c | 0.190 | ||||||||
| Single/Divorced/Widowed | 279 | 70.5 | 79.09 | 8.918 | 94.90 | 5.968 | 84.98 | 5.75 | ||||||
| Married | 117 | 29.5 | 78.26 | 9.504 | 94.68 | 5.941 | 83.87 | 8.30 | ||||||
| Education level | 2.966 d | 0.056 | 0.671 b | 0.512 | 13.249 d | 0.001 ** | ||||||||
| No formal education/Primary | 46 | 11.6 | 74.44 | 13.533 | 96.34 | 4.932 | 81.67 | 9.047 | ||||||
| Secondary | 272 | 68.7 | 79.30 | 8.493 | 94.38 | 6.226 | 84.45 | 6.462 | ||||||
| College/University | 78 | 19.7 | 79.77 | 7.099 | 95.48 | 5.528 | 87.14 | 4.255 | ||||||
| Experience in food industry | 0.986 b | 0.374 | 4.527 d | 0.012 * | 0.631 b | 0.532 | ||||||||
| <1 year | 102 | 25.8 | 77.91 | 9.797 | 95.84 | 5.172 | 85.26 | 6.591 | ||||||
| 1–2 years | 142 | 35.9 | 79.56 | 8.184 | 96.64 | 5.161 | 84.58 | 6.068 | ||||||
| >2 years | 152 | 38.4 | 78.80 | 9.399 | 92.48 | 6.899 | 84.32 | 7.124 | ||||||
| Experience in food truck business | 1.987 b | 0.139 | 0.181 b | 0.834 | 0.475 d | 0.623 | ||||||||
| <1 year | 152 | 38.4 | 77.82 | 9.533 | 94.80 | 5.947 | 84.78 | 6.608 | ||||||
| 1–2 years | 148 | 37.4 | 79.91 | 8.621 | 95.22 | 5.994 | 84.93 | 5.641 | ||||||
| >2 years | 96 | 24.2 | 78.81 | 8.983 | 94.30 | 5.951 | 84.03 | 7.931 | ||||||
| Food safety training | −4.730 c | 0.001 ** | −3.794 c | 0.001 ** | −2.709 c | 0.007 * | ||||||||
| Yes | 282 | 71.2 | 80.39 | 7.696 | 96.52 | 4.949 | 85.27 | 6.137 | ||||||
| No | 114 | 28.8 | 75.01 | 11.144 | 90.70 | 7.545 | 83.13 | 7.490 | ||||||
| Regular medical check-up | −4.054 c | 0.001 ** | −1.816 c | 0.071 | −5.306 c | 0.001 ** | ||||||||
| Yes | 239 | 60.4 | 80.44 | 7.208 | 95.76 | 5.358 | 86.21 | 4.313 | ||||||
| No | 157 | 39.6 | 76.42 | 10.961 | 93.44 | 6.717 | 82.29 | 8.556 | ||||||
| Typhim IV vaccination | −0.922 a | 0.357 | 0.930 a | 0.353 | −1.723 a | 0.086 | ||||||||
| Yes | 314 | 79.3 | 79.06 | 8.864 | 94.56 | 6.149 | 84.95 | 6.522 | ||||||
| No | 82 | 20.7 | 78.02 | 9.924 | 95.92 | 5.131 | 83.54 | 6.896 | ||||||
Note: Significant, * p < 0.05, ** p < 0.001, a Independent t-test, b One-way ANOVA test; c Welch t-test; d Welch ANOVA test.
Hierarchical multiple regression predicting the practices of food safety during the COVID-19 pandemic (N = 396).
| Variables | Practices of Food Safety | |||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | ||||
|
|
|
|
|
|
| |
| Constant |
|
|
| |||
| Education level | ||||||
| Secondary |
| 0.189 |
| 0.146 |
| 0.153 |
| College/University |
| 0.313 |
| 0.277 |
| 0.282 |
| Food safety training |
| 0.127 | 1.140 | 0.078 | 0.951 | 0.065 |
| Knowledge |
| 0.187 |
| 0.181 | ||
| Attitude | 0.073 | 0.066 | ||||
|
| 0.068 | 0.100 | 0.104 | |||
|
|
|
|
| |||
| Δ | 0.061 | 0.091 | 0.092 | |||
Note: N = 396; B = regression coefficient; β = beta coefficient; ΔR2 = adjusted R2; ** p < 0.001; * p < 0.05. Predictors: education level, food safety training, knowledge (continuous variable), and attitude (continuous variable). Dependent variable: Practices of food safety. Education level was represented as three dummy variables with No formal education/Primary as the reference group.