| Literature DB >> 35945586 |
Katherine Cullerton1, Dori Patay2, Michael Waller2, Eloise Adsett2, Amanda Lee2.
Abstract
BACKGROUND: Enacting evidence-based public health policy can be challenging. One factor contributing to this challenge is a lack of public support for specific policies, which may stem from limited interest or conviction by policy arguments. This can happen when messaging strategies regarding policy do not resonate with the target group and/or policy narratives compete in public discourse. To understand how policy messaging can better resonate with a target audience, we examined the frames and narratives used by the Australian public when discussing nutrition policies.Entities:
Keywords: Commercial determinants of health; Framing; Narrative policy framework; Narratives; Neoliberalism; Nutrition policy; Public attitude; Street intercept
Mesh:
Year: 2022 PMID: 35945586 PMCID: PMC9361541 DOI: 10.1186/s12961-022-00891-6
Source DB: PubMed Journal: Health Res Policy Syst ISSN: 1478-4505
Narrative elements based on QNPF
| Element | Definition |
|---|---|
| Setting | The setting is the space where the action of the story takes place over time (often contextual) |
| Characters | Actors are often seen or described as “victims that are harmed by the problem, villains that intentionally or unintentionally cause the harm and heroes that provide or promise relief from the harm” [ |
| Moral of the story | The policy solution promoted by a policy narrative |
| Plot | Plots explain the connections between the elements of the narrative [ |
| Belief systems | Ideologies and beliefs based on what individuals perceive as their reality |
Demographic characteristics (n = 76)
| No. | % | |
|---|---|---|
| Sex | ||
| Male | 29 | 38.2 |
| Female | 47 | 61.8 |
| Age range (years) | ||
| 18–24 | 17 | 22.4 |
| 25–44 | 19 | 25.0 |
| 45–64 | 23 | 30.3 |
| 65+ | 17 | 22.4 |
| Education | ||
| Below year 12 | 17 | 22.4 |
| Year 12 or diploma | 22 | 28.9 |
| Bachelor’s degree | 25 | 32.9 |
| Master’s degree | 12 | 15.8 |
| Location | ||
| Regional | 34 | 44.7 |
| Urban | 42 | 55.3 |
| Socioeconomic status | ||
| 1–4 low | 22 | 28.9 |
| 5–6 medium | 24 | 31.6 |
| 7–10 high | 30 | 39.5 |
| Political party | ||
| Progressive | 22 | 28.9 |
| Undecided | 20 | 26.3 |
| Conservative | 34 | 44.7 |
| Main food shopper | ||
| No | 18 | 23.7 |
| Yes | 38 | 50.0 |
| Shared | 20 | 26.3 |
| Live in a household with a child under 18 | ||
| No | 51 | 67.1 |
| Yes | 25 | 32.9 |
Mean agreement scores for each policy by location and political views (results based on t-tests between groups)
| Policy A | Policy B | Policy C | Policy D | Policy E | Policy F | Policy G | Policy H | Policy I | |
|---|---|---|---|---|---|---|---|---|---|
| Ban unhealthy vending in schools | Tax high-sugar drinks | Ban junk food ads (kids viewing) | Subsidize fruits and veg. | Media campaigns fruit and veg. | Clearer food labels | Reformulate foods | Freight subsidies Aboriginal communities | 20% tax on sugary drinks | |
| Mean (SD) | |||||||||
| Total | 3.9 (1.2) | 3.7 (1.3) | 4.4 (1.0) | 4.2 (1.2) | 4.4 (0.8) | 4.4 (0.8) | 3.7 (1.2) | 4.3 (1.0) | 3.6 (1.5) |
| Location | |||||||||
| Rural | 4.2 (1.2) | 3.6 (1.3) | 4.4 (1.1) | 4.2 (1.2) | 4.3 (0.9) | 4.4 (0.8) | 3.9 (1.1) | 4.0 (1.3) | 3.4 (1.5) |
| Urban | 3.7 (1.2) | 3.8 (1.3) | 4.4 (0.9) | 4.1 (1.3) | 4.5 (0.8) | 4.5 (0.8) | 3.6 (1.3) | 4.5 (0.8) | 3.8 (1.5) |
| Difference (rural/rural − urban) | 0.4 (−0.1, 1.0) | −0.2 (−0.8, 0.4) | −0.02 (−0.5, 0.4) | 0.1 (−0.5, 0.6) | −0.2 (−0.5, 0.2) | −0.1 (−0.5, 0.2) | 0.3 (−0.2, 0.9) | −0.5 (−1.0, −0.1) | −0.4 (−1.1, 0.3) |
| | 0.12 | 0.57 | 0.90 | 0.76 | 0.42 | 0.44 | 0.27 | 0.02 | 0.24 |
| Political views | |||||||||
| Progressive | 4.2 (1.1) | 4.0 (1.3) | 4.6 (0.8) | 4.4 (1.0) | 4.8 (0.4) | 4.5 (0.7) | 3.8 (1.2) | 4.5 (0.8) | 4.0 (1.3) |
| Unsure/Independent | 3.8 (1.2) | 3.5 (1.5) | 4.4 (0.9) | 4.5 (1.0) | 4.4 (0.8) | 4.7 (0.8) | 3.9 (1.2) | 4.4 (0.9) | 3.7 (1.6) |
| Conservative | 3.8 (1.3) | 3.6 (1.1) | 4.2 (1.1) | 3.9 (1.4) | 4.1 (1.0) | 4.3 (0.9) | 3.6 (1.3) | 4.1 (1.2) | 3.2 (1.5) |
| U/I vs Prog. 95% CI | −0.4 (−1.2, 0.3) | −0.6 (−1.5, 0.3) | −0.2 (−0.8, 0.3) | 0.1 (−0.6, 0.7) | −0.5 (−0.9, −0.1) | 0.2 (−0.3, 0.6) | 0.03 (−0.7, 0.8) | −0.1 (−0.7, 0.4) | −0.3 (−1.2, 0.6) |
| | 0.25 | 0.17 | 0.37 | 0.79 | 0.02 | 0.53 | 0.93 | 0.59 | 0.47 |
| Con. vs Prog. 95% CI | −0.4 (−0.3, 1.1) | −0.4 (−1.0, 0.2) | −0.4 (−0.9, 0.2) | −0.5 (−1.2, 0.2) | −0.7 (−1.1, −0.3) | −0.2 (−0.7, 0.2) | −0.2 (−0.9, 0.5) | −0.5 (−1.0, 0.1) | −0.8 (−1.5, 0.01) |
| | 0.23 | 0.21 | 0.20 | 0.15 | 0.002 | 0.30 | 0.56 | 0.13 | 0.05 |
| Con. vs U/I 95% CI | 0.02 (−0.7, 0.7) | 0.2 (−0.5, 0.9) | −0.1 (−0.7, 0.5) | −0.6 (−1.3, 0.1) | −0.2 (−0.8, 0.3) | −0.4 (−0.9, −0.1) | −0.2 (−0.9, 0.5) | −0.3 (−0.9, 0.3) | −0.4 (−1.3, 0.4) |
| | 0.95 | 0.58 | 0.70 | 0.1 | 0.37 | 0.11 | 0.52 | 0.33 | 0.31 |
Fig. 1Mean agreement by policy with 95% confidence interval. a Ban vending machines selling unhealthy food or drinks in schools. b Impose a tax on manufacturers for the high-sugar drinks they sell. c Ban advertising of junk food targeting children during popular TV viewing times (including 6–9 pm). d Subsidize the sale of fruits and vegetables, making them cheaper for consumers. e Conduct media campaigns to encourage people to eat healthier foods, like fruit and vegetables. f Encourage food companies to provide food labels that carry clearer information about the nutrition content of foods. g Make companies reformulate foods to contain less salt, sugar and saturated fat. h Provide freight subsidies from the government for transport of healthy food to remote Aboriginal communities. i Introduce a 20% tax on sugary drinks that would increase the price for consumers
Fig. 2Elements of the narratives in interviewee data