Literature DB >> 33596251

A randomised experiment of health, cost and social norm message frames to encourage acceptance of swaps in a simulation online supermarket.

Amanda Bunten1, Lucy Porter1, Jet G Sanders1,2, Anna Sallis1, Sarah Payne Riches1,3, Paul Van Schaik4, Marta González-Iraizoz5, Tim Chadborn1, Suzanna Forwood6.   

Abstract

Offering lower-energy food swaps to customers of online supermarkets could help to decrease energy (kcal) purchased and consumed. However, acceptance rates of such food swaps tend to be low. This study aimed to see whether framing lower-energy food swaps in terms of cost savings or social norms could improve likelihood of acceptance relative to framing swaps in terms of health benefits. Participants (n = 900) were asked to shop from a 12-item shopping list in a simulation online supermarket. When a target high-energy food was identified in the shopping basket at check-out, one or two lower-energy foods would be suggested as an alternative (a "swap"). Participants were randomised to only see messages emphasising health benefits (fewer calories), cost benefits (lower price) or social norms (others preferred this product). Data were analysed for 713 participants after exclusions. Participants were offered a mean of 3.17 swaps (SD = 1.50), and 12.91% of swaps were accepted (health = 14.31%, cost = 11.49%, social norms = 13.18%). Swap acceptance was not influenced by the specific swap frame used (all p > .170). Age was significantly and positively associated with swap acceptance (b = 0.02, SE = 0.00, p < .001), but was also associated with smaller decreases in energy change (b = 0.46, SE = .19, p = .014). Overall, offering swaps reduced both energy (kcal) per product (b = -9.69, SE = 4.07, p = .017) and energy (kcal) per shopping basket (t712 = 11.09, p < .001) from pre- to post-intervention. Offering lower-energy food swaps could be a successful strategy for reducing energy purchased by customers of online supermarkets. Future research should explore alternative solutions for increasing acceptance rates of such swaps.

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Year:  2021        PMID: 33596251      PMCID: PMC7888673          DOI: 10.1371/journal.pone.0246455

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  31 in total

1.  Why Americans eat what they do: taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption.

Authors:  K Glanz; M Basil; E Maibach; J Goldberg; D Snyder
Journal:  J Am Diet Assoc       Date:  1998-10

2.  Development of a measure of the motives underlying the selection of food: the food choice questionnaire.

Authors:  A Steptoe; T M Pollard; J Wardle
Journal:  Appetite       Date:  1995-12       Impact factor: 3.868

Review 3.  Social norms and their influence on eating behaviours.

Authors:  Suzanne Higgs
Journal:  Appetite       Date:  2014-10-22       Impact factor: 3.868

Review 4.  Health inequalities: trends, progress, and policy.

Authors:  Sara N Bleich; Marian P Jarlenski; Caryn N Bell; Thomas A LaVeist
Journal:  Annu Rev Public Health       Date:  2012-01-06       Impact factor: 21.981

5.  Improving child weight management uptake through enhanced National Child Measurement Programme parental feedback letters: A randomised controlled trial.

Authors:  A Sallis; L Porter; K Tan; R Howard; L Brown; A Jones; L Ells; A Adamson; R Taylor; I Vlaev; T Chadborn
Journal:  Prev Med       Date:  2019-02-13       Impact factor: 4.018

6.  Offering within-category food swaps to reduce energy density of food purchases: a study using an experimental online supermarket.

Authors:  Suzanna E Forwood; Amy L Ahern; Theresa M Marteau; Susan A Jebb
Journal:  Int J Behav Nutr Phys Act       Date:  2015-06-25       Impact factor: 6.457

Review 7.  Dynamic Energy Balance: An Integrated Framework for Discussing Diet and Physical Activity in Obesity Prevention-Is it More than Eating Less and Exercising More?

Authors:  Melinda M Manore; D Enette Larson-Meyer; Anne R Lindsay; Nobuko Hongu; Linda Houtkooper
Journal:  Nutrients       Date:  2017-08-19       Impact factor: 5.717

8.  Optimising swaps to reduce the salt content of food purchases in a virtual online supermarket: A randomised controlled trial.

Authors:  Sarah Payne Riches; Paul Aveyard; Carmen Piernas; Mike Rayner; Susan A Jebb
Journal:  Appetite       Date:  2018-11-29       Impact factor: 3.868

Review 9.  Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

Authors:  Katherine M Flegal; Brian K Kit; Heather Orpana; Barry I Graubard
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

Review 10.  The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis.

Authors:  Daphne P Guh; Wei Zhang; Nick Bansback; Zubin Amarsi; C Laird Birmingham; Aslam H Anis
Journal:  BMC Public Health       Date:  2009-03-25       Impact factor: 3.295

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