Abstract
The impact of healthy eating policies falls behind policy maker’s expectations. Better targeting and stakeholder support should improve their effectiveness. The research aims to identify whether a target group (the group impacted by the policy measure) is characterised by higher acceptance levels or not. Acceptance among citizens from the target was compared to a matching non-target group, based on data from an online survey on citizens’ support of healthy eating policies conducted among 3003 adult respondents from five European countries (Belgium, Denmark, Italy, Poland, UK). The policies explored were bans of advertising to children or school vending machines, school meal regulations, education campaigns at schools and workplaces, menu nutrition information and food labelling, price subsidies for healthy food, and accessibility measures for the elderly. It was found that target groups showed more support than others for four policies: parents were more supportive of vending machine bans in schools and workers eating out at lunch of education campaigns at workplaces, food labelling was more supported by those considering nutrition content in food purchase, and price subsidies for healthy food more supported by respondents in financial difficulties. However, parents were less supportive of school education campaigns, and the pattern of support through the target group differed by country. It is concluded that members of the target group tend to, but are not per se especially supportive of healthy eating policy measures concerning themselves or their children, and there are great country differences. Acceptance of policies should be surveyed per target group and country in advance of implementation. In the case of lack in acceptance, further exploration of the barriers should be conducted so that the benefit of the policy can be more effectively communicated, assuming that this increases stakeholder cooperation and favourable peer influence.
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Notes
The latter variables derive from the extent of agreement or disagreement with the following statements: “There is too much unhealthy and fatty food in restaurants and supermarkets”; “Most people are overweight because they lack information about healthy eating and/or health risks of excess weight”; and “Most people are overweight because there are too many snack foods readily available in workplaces, shops and homes.”
We use the one to 10 nearest-neighbour algorithm.
As Sianesi (2004) suggests, the balancing property for the estimation of propensity scores is tested by comparing standardized biases before and after matching and the pseudo-R-square and likelihood ratio test on the joint significance of all regressors in the model before and after matching. Estimation outputs and test results are available on request.
Owing to space limitations, neutrality rates for each country are provided as supplementary files. The characteristics of non-supporters in the sample and among the target group in particular, per policy, are also provided as supplementary files.
A table is available in the supplementary file.
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Authors’ Contribution
JEAW has formulated the research question and written the manuscript except for the data analysis section, SC has conducted the analysis and written the data analysis section, TBL has contributed to the formulation of the research question; all authors have contributed to the design of the overall study, commented on the manuscript, and agreed to the final version.
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This research was supported by a grant from the European Community (EC) FP7 Research Programme to the EATWELL consortium under grant agreement no. 226713, Eatwell Project (www.eatwellproject.eu). The EC had no role in the design, analysis or writing of this article.
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Aschemann-Witzel, J., Bech-Larsen, T. & Capacci, S. Do Target Groups Appreciate Being Targeted? An Exploration of Healthy Eating Policy Acceptance. J Consum Policy 39, 285–306 (2016). https://doi.org/10.1007/s10603-016-9327-7
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DOI: https://doi.org/10.1007/s10603-016-9327-7