Literature DB >> 25420063

Snack purchasing is healthier when the cognitive demands of choice are reduced: A randomized controlled trial.

Julia L Allan1, Marie Johnston1, Neil Campbell2.   

Abstract

OBJECTIVE: Individuals with inefficient executive (higher level cognitive) function have a reduced ability to resist dietary temptation. The present study aimed to design and test a theory-based point-of-purchase intervention for coffee shops that reduced the calorie content of customers' purchases by reducing the need for executive function (EF) at the moment of choice.
METHODS: Key facets of EF were identified by a multidisciplinary group and used to develop a point-of-purchase intervention (signage). This intervention was evaluated in a randomized controlled trial (RCT) in a public coffee shop on consumer purchases of >20,000 snacks and drinks over 12 weeks. A sample of customers (n = 128) was recruited to complete an embedded cross-sectional study measuring EF strength, dietary intentions, typical purchases, and purchases made after exposure to the intervention.
RESULTS: The proportion of snack purchases that were high in calorie reduced significantly (t(10) = 2.34, p = .04) in intervention weeks relative to control. High calorie drink purchases were also lower in intervention than control weeks, however, this difference was not significant (t(10) = 1.56, p = .15). On average, customers purchased items containing 66 calories < usual after exposure to the intervention. The magnitude of the intervention's positive effect on customer behavior increased as EF strength decreased (β = .24, p = .03).
CONCLUSIONS: The calorie content of cafe purchases can be lowered by reducing the cognitive demands of healthy food choice at the moment of purchase, especially in those with poor EF. Environmental changes like these have the potential to help achieve population weight control. (c) 2015 APA, all rights reserved.

Entities:  

Mesh:

Year:  2014        PMID: 25420063     DOI: 10.1037/hea0000173

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  12 in total

1.  Executive function and probabilities of engaging in long-term sedentary and high calorie/low nutrition eating behaviors in early adolescence.

Authors:  Christopher Cappelli; James Russell Pike; Nathaniel R Riggs; Christopher M Warren; Mary Ann Pentz
Journal:  Soc Sci Med       Date:  2019-08-07       Impact factor: 4.634

2.  Environmental interventions to reduce the consumption of sugar-sweetened beverages and their effects on health.

Authors:  Peter von Philipsborn; Jan M Stratil; Jacob Burns; Laura K Busert; Lisa M Pfadenhauer; Stephanie Polus; Christina Holzapfel; Hans Hauner; Eva Rehfuess
Journal:  Cochrane Database Syst Rev       Date:  2019-06-12

Review 3.  Nutritional labelling for healthier food or non-alcoholic drink purchasing and consumption.

Authors:  Rachel A Crockett; Sarah E King; Theresa M Marteau; A T Prevost; Giacomo Bignardi; Nia W Roberts; Brendon Stubbs; Gareth J Hollands; Susan A Jebb
Journal:  Cochrane Database Syst Rev       Date:  2018-02-27

4.  Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial.

Authors:  Josine M Stuber; Joreintje D Mackenbach; Femke E de Boer; Gert-Jan de Bruijn; Marleen Gillebaart; Marjolein C Harbers; Jody C Hoenink; Michel C A Klein; Cédric N H Middel; Yvonne T van der Schouw; Tjerk Jan Schuitmaker-Warnaar; Elizabeth Velema; Anne L Vos; Wilma E Waterlander; Jeroen Lakerveld; Joline W J Beulens
Journal:  Nutr J       Date:  2020-05-19       Impact factor: 3.271

5.  The 'Voice' of Key Stakeholders in a School Food and Drink Intervention in Two Secondary Schools in NE England: Findings from a Feasibility Study.

Authors:  Lorraine McSweeney; Jen Bradley; Ashley J Adamson; Suzanne Spence
Journal:  Nutrients       Date:  2019-11-12       Impact factor: 5.717

6.  Factors behind healthy snack consumption at school among high-school students: a qualitative study.

Authors:  Fatemeh Bastami; Fereshteh Zamani-Alavijeh; Firoozeh Mostafavi
Journal:  BMC Public Health       Date:  2019-10-22       Impact factor: 3.295

Review 7.  The effects of nudges on purchases, food choice, and energy intake or content of purchases in real-life food purchasing environments: a systematic review and evidence synthesis.

Authors:  Marjolein C Harbers; Joline W J Beulens; Femke Rutters; Femke de Boer; Marleen Gillebaart; Ivonne Sluijs; Yvonne T van der Schouw
Journal:  Nutr J       Date:  2020-09-17       Impact factor: 3.271

8.  The Environment Makes a Difference: The Impact of Explicit and Implicit Attitudes as Precursors in Different Food Choice Tasks.

Authors:  Laura M König; Helge Giese; Harald T Schupp; Britta Renner
Journal:  Front Psychol       Date:  2016-08-29

9.  Multilevel Structural Equation Modeling of Students' Dietary Intentions/Behaviors, BMI, and the Healthfulness of Convenience Stores.

Authors:  Tanya Horacek; Elif Dede Yildirim; Kendra Kattelmann; Carol Byrd-Bredbenner; Onikia Brown; Sarah Colby; Geoffrey Greene; Sharon Hoerr; Tandalayo Kidd; Mallory Koenings; Jesse Morrell; Melissa D Olfert; Beatrice Phillips; Karla Shelnutt; Adrienne White
Journal:  Nutrients       Date:  2018-10-23       Impact factor: 5.717

10.  The Complexity of Food Provisioning Decisions by Māori Caregivers to Ensure the Happiness and Health of Their Children.

Authors:  Marewa Glover; Sally F Wong; Rachael W Taylor; José G B Derraik; Jacinta Fa'alili-Fidow; Susan M Morton; Wayne S Cutfield
Journal:  Nutrients       Date:  2019-04-30       Impact factor: 5.717

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.