Literature DB >> 29551401

Leveraging delay discounting for health: Can time delays influence food choice?

Bradley M Appelhans1, Simone A French2, Tamara Olinger3, Michael Bogucki4, Imke Janssen3, Elizabeth F Avery-Mamer3, Lisa M Powell5.   

Abstract

Delay discounting, the tendency to choose smaller immediate rewards over larger delayed rewards, is theorized to promote consumption of immediately rewarding but unhealthy foods at the expense of long-term weight maintenance and nutritional health. An untested implication of delay discounting models of decision-making is that selectively delaying access to less healthy foods may promote selection of healthier (immediately available) alternatives, even if they may be less desirable. The current study tested this hypothesis by measuring healthy versus regular vending machine snack purchasing before and during the implementation of a 25-s time delay on the delivery of regular snacks. Purchasing was also examined under a $0.25 discount on healthy snacks, a $0.25 tax on regular snacks, and the combination of both pricing interventions with the 25-s time delay. Across 32,019 vending sales from three separate vending locations, the 25-s time delay increased healthy snack purchasing from 40.1% to 42.5%, which was comparable to the impact of a $0.25 discount (43.0%). Combining the delay and the discount had a roughly additive effect (46.0%). However, the strongest effects were seen under the $0.25 tax on regular snacks (53.7%) and the combination of the delay and the tax (50.2%). Intervention effects varied substantially between vending locations. Importantly, time delays did not harm overall vending sales or revenue, which is relevant to the real-world feasibility of this intervention. More investigation is needed to better understand how the impact of time delays on food choice varies across populations, evaluate the effects of time delays on beverage vending choices, and extend this approach to food choices in contexts other than vending machines. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02359916.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Behavioral economics; Delay discounting; Food choice; Pricing interventions; Vending machines

Mesh:

Year:  2018        PMID: 29551401      PMCID: PMC5971135          DOI: 10.1016/j.appet.2018.03.010

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  46 in total

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2.  Age differences in future orientation and delay discounting.

Authors:  Laurence Steinberg; Sandra Graham; Lia O'Brien; Jennifer Woolard; Elizabeth Cauffman; Marie Banich
Journal:  Child Dev       Date:  2009 Jan-Feb

3.  Delay discounting moderates the effect of food reinforcement on energy intake among non-obese women.

Authors:  Brandi Y Rollins; Kelly K Dearing; Leonard H Epstein
Journal:  Appetite       Date:  2010-08-01       Impact factor: 3.868

4.  Delay discounting and intake of ready-to-eat and away-from-home foods in overweight and obese women.

Authors:  Bradley M Appelhans; Molly E Waring; Kristin L Schneider; Sherry L Pagoto; Michelle A DeBiasse; Michelle A Debiasse; Matthew C Whited; Elizabeth B Lynch
Journal:  Appetite       Date:  2012-07-20       Impact factor: 3.868

5.  Annual deaths attributable to obesity in the United States.

Authors:  D B Allison; K R Fontaine; J E Manson; J Stevens; T B VanItallie
Journal:  JAMA       Date:  1999-10-27       Impact factor: 56.272

6.  Steep discounting of delayed monetary and food rewards in obesity: a meta-analysis.

Authors:  M Amlung; T Petker; J Jackson; I Balodis; J MacKillop
Journal:  Psychol Med       Date:  2016-06-15       Impact factor: 7.723

Review 7.  A systematic review of temporal discounting in eating disorders and obesity: Behavioural and neuroimaging findings.

Authors:  Jessica McClelland; Bethan Dalton; Maria Kekic; Savani Bartholdy; Iain C Campbell; Ulrike Schmidt
Journal:  Neurosci Biobehav Rev       Date:  2016-09-28       Impact factor: 8.989

Review 8.  Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fraction.

Authors:  Fumiaki Imamura; Laura O'Connor; Zheng Ye; Jaakko Mursu; Yasuaki Hayashino; Shilpa N Bhupathiraju; Nita G Forouhi
Journal:  BMJ       Date:  2015-07-21

Review 9.  Psychological and neural contributions to appetite self-regulation.

Authors:  Luke E Stoeckel; Leann L Birch; Todd Heatherton; Traci Mann; Christine Hunter; Susan Czajkowski; Lisa Onken; Paige K Berger; Cary R Savage
Journal:  Obesity (Silver Spring)       Date:  2017-03       Impact factor: 5.002

Review 10.  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

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1.  Taxation of unprocessed sugar or sugar-added foods for reducing their consumption and preventing obesity or other adverse health outcomes.

Authors:  Manuela Pfinder; Thomas L Heise; Michele Hilton Boon; Frank Pega; Candida Fenton; Ursula Griebler; Gerald Gartlehner; Isolde Sommer; Srinivasa Vittal Katikireddi; Stefan K Lhachimi
Journal:  Cochrane Database Syst Rev       Date:  2020-04-09

2.  Experience Matters: The Effects of Hypothetical versus Experiential Delays and Magnitudes on Impulsive Choice in Delay Discounting Tasks.

Authors:  Catherine C Steele; MacKenzie Gwinner; Travis Smith; Michael E Young; Kimberly Kirkpatrick
Journal:  Brain Sci       Date:  2019-12-16
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