| Literature DB >> 34879112 |
Jaime R Barrett1, Gabriel K Innes2, Kelly A Johnson3, Guillaume Lhermie4,5,6, Renata Ivanek7, Amelia Greiner Safi8, David Lansing1.
Abstract
Antimicrobial use in animal agriculture is often perceived to play a role in the emerging threat of antimicrobial resistance. Increased consumer awareness of this issue places pressure on animal husbandry to adopt policies to reduce or eliminate antimicrobial use. We use a scoping review methodology to assess research on consumer perceptions of antimicrobial drugs in meat products in the United States, Canada, or the European Union. Evaluating peer-reviewed and grey literature, we included studies for assessment if they met these topical and geographic requirements, involved primary data collection, and were originally published in English. Our screening process identified 124 relevant studies. Three reviewers jointly developed a data charting form and independently charted the contents of the studies. Of the 105 studies that measured consumer concern, 77.1% found that consumers were concerned about antimicrobial use in meat production. A minority of studies (29.8% of all studies) queried why consumers hold these views. These studies found human health and animal welfare were the main reasons for concern. Antimicrobial resistance rarely registered as an explicit reason for concern. A smaller group of studies (23.3%) measured the personal characteristics of consumers that expressed concern about antimicrobials. Among these studies, the most common and consistent features of these consumers were gender, age, income, and education. Regarding the methodology used, studies tended to be dominated by either willingness-to-pay studies or Likert scale questionnaires (73.64% of all studies). We recommend consideration of qualitative research into consumer views on this topic, which may provide new perspectives that explain consumer decision-making and mentality that are lacking in the literature. In addition, more research into the difference between what consumers claim is of concern and their ultimate purchasing decisions would be especially valuable.Entities:
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Year: 2021 PMID: 34879112 PMCID: PMC8654221 DOI: 10.1371/journal.pone.0261010
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1PRISMA flow chart.
Number of sources found at each stage of retrieval, screening, and data extraction.
Timeline and source characteristics from the extracted texts.
| Study Characteristics | No. | % |
|---|---|---|
|
| ||
| Pre-2009 | 38 | 30.6% |
| 2010–2015 | 34 | 27.4% |
| 2016–2020 | 52 | 42.9% |
|
| ||
| Academic Journal | 83 | 66.9% |
| Book | 1 | 0.8% |
| Dissertation | 7 | 5.6% |
| Thesis | 5 | 4.0% |
| News Article | 9 | 7.3% |
| White Paper | 2 | 1.6% |
| Report | 7 | 5.6% |
| Trade Journal | 4 | 3.2% |
| Conference/Workshop Paper | 3 | 2.4% |
| Website | 1 | 0.8% |
| Datasheet | 2 | 1.6% |
|
| ||
| University | 89 | 71.8% |
| Government | 7 | 5.6% |
| Experiment Station | 2 | 1.6% |
| Industry | 8 | 6.5% |
| Think Tank | 2 | 1.6% |
| Advocacy Group | 1 | 0.8% |
| University and Government | 1 | 0.8% |
| University and Industry | 1 | 0.8% |
| Government and Industry | 2 | 1.6% |
| Group/Association | 4 | 3.2% |
| Unspecified | 7 | 5.6% |
|
| ||
| United States | 67 | 54.0% |
| Canada | 12 | 9.7% |
| Germany | 7 | 5.6% |
| Single European Union Country | 17 | 13.7% |
| United States and Canada | 3 | 2.4% |
| Multiple European Union Countries | 10 | 8.1% |
| Mixed European and North American Countries | 5 | 4.0% |
| Unspecified | 3 | 2.4% |
Product and theme focus of extracted texts.
| Study Characteristics | No. | % |
|---|---|---|
|
| ||
| Beef | 16 | 12.9% |
| Pork | 19 | 15.3% |
| Poultry | 13 | 10.5% |
| Dairy | 13 | 10.5% |
| Seafood | 6 | 4.8% |
| Other Single Products | 1 | 0.8% |
| Mixed Products | 19 | 15.3% |
| Generic Categories | 30 | 24.2% |
| Unspecified | 7 | 5.6% |
|
| ||
| Antibiotic Use | 16 | 12.9% |
| Production Characteristics | 28 | 22.6% |
| Food Safety | 20 | 16.1% |
| Credence Attributes | 13 | 10.5% |
| Organic | 8 | 6.5% |
| Labels | 8 | 6.5% |
| Food Quality | 6 | 4.8% |
| Animal Welfare | 6 | 4.8% |
| Risk | 5 | 4.0% |
| Natural | 3 | 2.4% |
| Environmental Concerns | 2 | 1.6% |
| Trust | 2 | 1.6% |
| Purchasing/Marketing | 2 | 1.6% |
| Parent Decisions | 1 | 0.8% |
| Performance Enhancers | 1 | 0.8% |
| Regulation | 1 | 0.8% |
| Social Welfare | 1 | 0.8% |
| Vaccinations | 1 | 0.8% |
Methods used in the extracted texts.
| Study Characteristics | No. | % |
|---|---|---|
|
| ||
| Qualitative | 14 | 11.2% |
| Quantitative | 102 | 82.3% |
| Mixed Qualitative and Quantitative | 8 | 6.5% |
|
| ||
| Survey | 70 | 56.5% |
| Choice Experiment | 9 | 6.5% |
| Qualitative Method | 8 | 6.5% |
| Document/Literature Analysis | 8 | 6.5% |
| Mixed Methods | 26 | 21.0% |
| Unspecified | 4 | 3.2% |
|
| ||
| Willingness-to-pay Study | 42 | 33.9% |
| Likert Scale Study | 49 | 39.5% |
Characteristics of studies that measured level of concern and reasons for concern.
| Consumer Concern Indicators | No. | % |
|---|---|---|
|
| ||
| Concerned | 81 | 65.3% |
| Mixed Concern | 14 | 11.3% |
| Not Concerned | 10 | 8.1% |
| Study Did Not Measure Concern | 19 | 15.3% |
|
| ||
| Safety | 9 | 24.3% |
| Human Health and Residues | 10 | 27.0% |
| Human Health and Resistance | 3 | 8.1% |
| Animal Welfare and Human Health | 1 | 2.7% |
| Animal Welfare, Human Health and Antimicrobial Resistance | 2 | 5.4% |
| Animal Welfare | 8 | 21.6% |
| Animal Welfare and Resistance | 1 | 2.7% |
| Production Practices | 2 | 5.4% |
| Social Responsibility | 1 | 2.7% |
Fig 2Tally of studies by food studied, methodology used, and level of concern about antibiotics that the study found.
The figure excludes studies that did not explicitly gauge a level of concern about antibiotics and studies that did not specify the product. Each dot is one study.
Summary of findings from studies that gauged the types of consumers concerned about antibiotic use.
| Type of Characteristic | N | Specific concern variables | "Not concerned" variables | Example Paper |
|---|---|---|---|---|
| Gender | 13 | female (10); males; both (situation dependent) | males (2) | Widmar 2017 |
| Age | 9 | over 65, over 70, older (4), younger, old/young (situation dependent) | young | Yuxiang 2019 |
| Income | 10 | higher income (8), lower income | higher income | Wolf et al. 2016 |
| Education | 6 | university degree, more educated (3) | more educated (2) | Steiner and Yang 2010 |
| Eating and Shopping habits | 4 | meat eaters, pork buying habits, shops at farmer’s markets, household shopper | none | Bergstra et al. 2017 |
| Level of trust | 3 | high trust, low trust (2) | none | Muringai 2016 |
| Knowledge and Awareness | 3 | label readers, "health mavens", production knowledge | none | Smith et al. 2017 |
| Work | 3 | "housewives", union members, employed | none | Connor et al. 2008 |
| Political views | 3 | socially aware, conservatives social liberals | none | Bulut et al. 2021 |
| Ethical views | 3 | altruistic people, Individualizing moral foundation, believe that “organic” is better for cows | none | Lusk et al. 2007 |
| Religion | 3 | Protestants, Atheists, religiosity | none | Bergstra et al. 2017 |
| Race | 3 | non-white, Black, white | none | Steiner and Yang 2010 |
| Location | 2 | Montana, Quebec | none | Veeman and Lee 2007 |
| Family structure | 1 | parents with children under 6 | none | Tong 2011 |
a“N” is the total number of times the variable category was found to be significant across all papers. In sum, 52 variables across 30 different studies were found.