| Literature DB >> 26978778 |
Prince Antwi-Agyei1, Anne Peasey2, Adam Biran1, Jane Bruce3, Jeroen Ensink1.
Abstract
Poor food hygiene is a significant risk to public health globally, but especially in low and middle-income countries where access to sanitation, and general hygiene remain poor. Food hygiene becomes even more pertinent when untreated, or poorly treated wastewater is used in agriculture. In such circumstances the WHO recommends the adoption of a multiple-barrier approach that prescribes health protective measures at different entry points along the food chain. This study sought to assess the knowledge and awareness of wastewater use for crop production, its related health risks, and adoption of health protective measures by farmers, market salespersons and consumers using questionnaires and focus group discussions. In the period from September 2012 to August 2013, 490 respondents were interviewed during two cropping seasons. The study found that awareness of the source of irrigation water was low among consumers and street food vendors, though higher among market vendors. In contrast, health risk awareness was generally high among salespersons and consumers, but low among farmers. The study found that consumers did not prioritize health indicators when buying produce from vendors but were motivated to buy produce, or prepared food based on taste, friendship, cost, convenience and freshness of produce. Similarly, farmers' awareness of health risk did not influence their adoption of safer farm practices. The study recommends the promotion of interventions that would result in more direct benefits to both producers and vendors, together with hygiene education and enforcement of food safety byelaws in order to influence behaviour change, and increase the uptake of the multiple-barrier approach.Entities:
Mesh:
Substances:
Year: 2016 PMID: 26978778 PMCID: PMC4792467 DOI: 10.1371/journal.pone.0150603
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Sample size and selection strategy for at-risk groups.
| At-risk group | Sample size | Selection strategy | Type of produce cultivated, sold or bought | Origin of produce or prepared salad |
|---|---|---|---|---|
| Farmers | 80 | Systematic sampling | Lettuce | Wastewater irrigated fields in Accra |
| Market vendors | 80 | Systematic sampling | Lettuce and cabbage | Farms in Accra and outside Accra (produce could be wastewater irrigated or not) |
| Produce buyers (domestic consumers) | 160 | Systematic sampling | Lettuce and cabbage | Markets in Accra (produce could be wastewater irrigated or not) |
| Street food vendors | 30 | Random sampling | Prepared salad | Farms and markets in Accra (produce could be wastewater irrigated or not) |
| Street food consumers | 160 | Systematic sampling | Prepared salad | Street food vendors in Accra (produce could be wastewater irrigated or not) |
| Chefs at hotels and restaurants | 20 | Purposive sampling | Prepared salad | Farms (Accra and outside), markets, and supermarkets in Accra. Produce could be wastewater irrigated or not |
Fig 1Wastewater irrigation and health risk awareness and perceptions.
Determinants of awareness of wastewater irrigation health risk among domestic consumers of salad (Univariable and Multivariable logistic regression models).
ORc = crude odds ratio, ORa = adjusted odds ratio, NA = not applicable
| Univariable analysis | Multivariable analysis | |||||
|---|---|---|---|---|---|---|
| Exposure | N = 159 | Awareness of risk (%) | ORc (95% CI) | P | ORa (95% CI) | P |
| Awareness of source of produce | ||||||
| No | 89 | 70 | 1.0 | < 0.001 | 1.0 | 0.002 |
| Yes | 69 | 93 | 5.6 (2.02, 15.40) | 5.1 (1.82, 14.16) | ||
| Religion | ||||||
| Muslim | 27 | 63 | 1.0 | 0.02 | 1.0 | 0.08 |
| Christian | 132 | 83 | 2.9 (1.19, 7.27) | 2.3 (0.91, 6.01) | ||
| Gender | ||||||
| Female | 135 | 80 | 1.0 | 0.93 | NA | NA |
| Male | 24 | 79 | 0.9 (0.33, 2.77) | |||
| Age group | ||||||
| ≤ 30 | 57 | 79 | 1.0 | 0.50 | NA | NA |
| 31–40 | 49 | 84 | 1.4 (0.52, 3.76) | |||
| 41–50 | 37 | 73 | 0.7 (0.28, 1.94) | |||
| > 50 | 17 | 88 | 2.1 (0.41, 10.21) | |||
| Occupation | ||||||
| Public servant | 17 | 76 | 1.0 | 0.70 | NA | NA |
| Traders | 81 | 79 | 1.2 (0.33, 4.01) | |||
| Vocational | 49 | 80 | 1.2 (0.32, 4.49) | |||
| Others | 12 | 92 | 3.4 (0.33, 34.92) | |||
*P-value from logistic regression.
† p–value calculated from likelihood ratio test
Determinants of awareness of wastewater irrigation health risk among street food consumers of salad (Univariable and Multivariable logistic regression models).
ORc = crude odds ratio, ORa = adjusted odds ratio, NA = not applicable.
| Univariable analysis | Multivariable analysis | |||||
|---|---|---|---|---|---|---|
| Exposure | N = 158 | Awareness of risk (%) | ORc (95% CI) | P | ORa(95% CI) | P |
| Religion | ||||||
| Muslim | 101 | 55 | 1.0 | < 0.001 | 1.0 | 0.001 |
| Christian | 56 | 88 | 5.9 (2.42, 14.16) | 4.8 (1.96, 12.02) | ||
| Gender | ||||||
| Female | 63 | 54 | 1.0 | 0.007 | 1.0 | 0.02 |
| Male | 95 | 75 | 2.5 (1.28, 4.97) | 2.8 (1.19, 5.15) | ||
| Age group | ||||||
| ≤ 20 | 46 | 65 | 1.0 | 0.84 | NA | NA |
| 21–30 | 91 | 68 | 1.1 (0.54, 2.41) | |||
| > 30 | 21 | 62 | 0.9 (0.30, 2.53) | |||
| Occupation | ||||||
| Traders | 56 | 38 | 1.0 | 0.38 | NA | NA |
| Student | 37 | 22 | 2.2 (0.84, 5.63) | |||
| Vocational | 15 | 27 | 1.7 (0.47, 5.85) | |||
| Scrap dealer | 22 | 41 | 0.9 (0.32, 2.37) | |||
| Other | 28 | 39 | 0.9 (0.37, 2.35) | |||
| Awareness of source of irrigation water | ||||||
| No | 110 | 60 | 1.0 | 0.09 | 1.0 | 0.05 |
| Yes | 47 | 81 | 2.8 (1.24, 6.40) | 2.4 (1.0, 5.77) | ||
*P-value from logistic regression.
† p–value calculated from likelihood ratio test
Proportion of respondents who mentioned diseases associated with exposure to wastewater irrigation.
| Main disease mentioned | Farmers (N = 80) | Market vendors (N = 40) | St. food vendors (N = 29) | Produce buyers (N = 159) | St. food consumers (N = 158) | All respondents |
|---|---|---|---|---|---|---|
| No risks | 64% | 23% | 31% | 20% | 33% | 33% |
| Those aware of health risks | ||||||
| Diarrhoea | 19% | 35% | 24% | 41% | 21% | 29% |
| Cholera | 5% | 18% | 24% | 23% | 17% | 17% |
| Worm infection | 2.5% | 2% | 7% | 2% | 5% | 3.4% |
| Non-related ones | 3.7% | 15% | 14% | 8.8% | 8% | 8.4% |
| Cannot tell | 6% | 7% | 0% | 5.0% | 16% | 9% |
*All respondents included farmers, market vendors, street food vendors, produce buyers and street food consumers
Fig 2Main factors influencing street food consumers to buy prepared salad from vendors (N = 160).
Fig 3Main factors influencing domestic consumers to buy produce from market vendors (N = 160).
Determinants of buying wastewater irrigated produce used for salad among street food consumers (Univariable and Multivariable logistic regression models).
ORc = crude odds ratio, ORa = adjusted odds ratio, NA = not applicable.
| Univariable Analysis | Multivariable analysis | |||||
|---|---|---|---|---|---|---|
| Exposure | N = 160 | Buy (%) | ORc (95% CI) | P | ORa (95% CI) | P |
| Religion | ||||||
| Muslim | 100 | 45 | 1.0 | 0.38 | NA | NA |
| Christian | 58 | 38 | 0.7 (0.39, 1.45 | NA | ||
| Gender | ||||||
| Male | 96 | 35 | 1.0 | 0.03 | 1.0 | 0.71 |
| Female | 63 | 52 | 2.0 (1.05, 3.83) | 1.2 (0.53, 2.53) | ||
| Occupation | ||||||
| Trading | 57 | 47 | 1.0 | 0.01 | 1.0 | 0.01 |
| Vocational | 15 | 60. | 1.7 (0.52, 5.30) | 2.8 (0.55, 5.82) | ||
| Student | 36 | 53 | 1.2 (0.54, 2.86) | 1.4 (0.59, 3.32) | ||
| Scrap dealer | 22 | 18 | 0.2 (0.07, 0.82) | 0.2 (0.06, 0.75) | ||
| Other | 29 | 28 | 0.4 (0.16, 1.11) | 0.4 (0.15, 1.11) | ||
| Age group | ||||||
| ≤ 20 | 45 | 53 | 1.0 | 0.07 | 1.0 | 0.22 |
| 21–30 | 93 | 41 | 0.6 (0.30, 1.24) | 0.76 (0.32, 1.81) | ||
| > 30 | 21 | 24 | 0.3 (0.09, 0.87) | 0.31 (0.08, 1.24) | ||
| Awareness of wastewater health risk | ||||||
| Yes | 105 | 38 | 1.0 | 0.10 | 1.0 | 0.03 |
| No | 52 | 52 | 1.8 (0.90, 3.44) | 2.2 (1.09, 4.66) | ||
*P-value from logistic regression.
† p–value calculated from likelihood ratio test
Determinants of buying wastewater irrigated produce at markets among domestic consumers of vegetables (Univariable logistic regression model).
| Exposure | N = 160 (%) | Buy (%) | OR (95% CI) | P |
|---|---|---|---|---|
| Religion | ||||
| Christian | 133 (83) | 19 | 1.0 | 0.22 |
| Muslim | 27 (17) | 30 | 1.8 (0.72, 4.63) | |
| Gender | ||||
| Male | 25 (16) | 16 | 1.0 | 0.52 |
| Female | 135 (84) | 22 | 1.4 (0.46, 4.52) | |
| Occupation | ||||
| Trading | 82 (51) | 21 | 1.0 | 0.32 |
| Government worker | 17 (10.6) | 0.0 | - | |
| Vocational | 49 (31) | 23 | 1.1 (0.47, 2.61) | |
| Others | 12 (7.5) | 42 | 2.7 (0.77, 9.68) | |
| Age group | ||||
| ≤ 30 | 57 (35.6) | 25 | 1.0 | 0.55 |
| 31–40 | 49 (31) | 23 | 1.1 (0.43, 2.74) | |
| 40–50 | 37 (23) | 14 | 0.6 (0.19, 1.83) | |
| > 50 | 17 (10.6) | 29 | 1.6 (0.46, 5.30) | |
| Awareness of wastewater health risk | ||||
| No | 32 (20) | 19 | 1.0 | 0.83 |
| Yes | 127 (80) | 21 | 1.1 (0.42, 2.99) | |
| Awareness of source of produce | ||||
| No | 90 (57) | 19 | 1.0 | 0.51 |
| Yes | 69 (43) | 23 | 1.3 (0.60, 2.80) | |
| Awareness of source of irrigation water | ||||
| Yes | 116 (73) | 10 | 1.0 | < 0.001 |
| No | 43 (27) | 49 | 8.3 (3.55, 19.26) | |
* Percentage of Christians who would buy wastewater irrigated produce
** p-value calculated from logistic regression
No Multivariable model as only one parameter (source of irrigation water) was significantly associated with buying wastewater irrigated produce in the Univariable logistic model.