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Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments

Author

Listed:
  • Romain Cadario

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique, LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Pierre Chandon

    (INSEAD - Institut Européen d'administration des Affaires)

Abstract

We examine the effectiveness in field settings of seven healthy eating nudges, classified according to whether they are 1) cognitively-oriented, such as "descriptive nutritional labeling," "evaluative nutritional labeling," or "visibility enhancements"; 2) affectively-oriented, such as "hedonic enhancements or "healthy eating calls"; or 3) behaviorally-oriented, such as "convenience enhancements" or "size enhancements." Our multivariate three-level meta-analysis of 299 effect sizes, controlling for eating behavior, population, and study characteristics, yields a standardized mean difference (Cohen's d) of .23 (equivalent to -124 kcal/day). Effect sizes increase as the focus of the nudges shifts from cognition (d=.12, -64 kcal) to affect (d=.24, -129 kcal) to behavior (d=.39, -209 kcal). Interventions are more effective at reducing unhealthy eating than increasing healthy eating or reducing total eating. Effect sizes are larger in the US than in other countries; in restaurants or cafeterias than in grocery stores; and in studies including a control group. Effect sizes are similar for food selection vs. consumption, for children vs. adults, and are independent of study duration. Compared to the typical nudge study (d=.12), one implementing the best nudge scenario can expect a six-fold increase in effectiveness (to d=.74), with half due to switching from cognitively-oriented to behaviorally-oriented nudges.

Suggested Citation

  • Romain Cadario & Pierre Chandon, 2018. "Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments," Post-Print hal-01914908, HAL.
  • Handle: RePEc:hal:journl:hal-01914908
    DOI: 10.2139/ssrn.3090829
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    Cited by:

    1. Ismaël Rafaï & Arthur Ribaillier & Dorian Jullien, 2021. "The impact on nudge acceptability judgments of framing and consultation of the targeted population," Working Papers hal-03228638, HAL.
    2. Iina Ikonen & Francesca Sotgiu & Aylin Aydinli & Peeter W. J. Verlegh, 2020. "Consumer effects of front-of-package nutrition labeling: an interdisciplinary meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 360-383, May.
    3. Arthur Ribaillier & Ismaël Rafaï & Dorian Jullien, 2021. "The Impact on Acceptability Judgments about Nudges of Framing and Consultation with the Targeted Population," GREDEG Working Papers 2021-12, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Fabrice Etilé, 2019. "The Economics of Diet and Obesity: Public Policy," PSE-Ecole d'économie de Paris (Postprint) hal-02154445, HAL.
    5. Bonnet, Céline & Bouamra-Mechemache, Zohra & Réquillart, Vincent & Treich, Nicolas, 2020. "Viewpoint: Regulating meat consumption to improve health, the environment and animal welfare," Food Policy, Elsevier, vol. 97(C).
    6. Nicolas Treich, 2018. "Veganomics : vers une approche économique du véganisme ?," Revue française d'économie, Presses de Sciences-Po, vol. 0(4), pages 3-48.
    7. Vandenbroele, Jolien & Slabbinck, Hendrik & Van Kerckhove, Anneleen & Vermeir, Iris, 2021. "Mock meat in the butchery: Nudging consumers toward meat substitutes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 163(C), pages 105-116.
    8. Dellaert, B.G.C. & Johnson, E.J. & Baker, T., 2019. "Choice Architecture for Healthier Insurance Choices: Ordering and Partitioning Can Improve Decisions," ERIM Report Series Research in Management ERS-2019-008-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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