Literature DB >> 21557868

Improvement of meal composition by vegetable variety.

Tamara Bucher1, Klazine van der Horst, Michael Siegrist.   

Abstract

OBJECTIVE: Our physical environment influences our daily food choices unconsciously. Strategic changes in the food environment might therefore be potential measures to influence consumers' food selection towards better nutrition, without affecting the consumers' freedom of choice. The present study aimed to examine whether increased vegetable variety enhances healthy food choices and improves meal composition.
DESIGN: A randomised experiment.
SETTING: Participants were instructed to serve themselves a lunch from a buffet of food replicas. Individuals were randomly assigned to one of three food combinations: condition A - cooked carrots, pasta and chicken; condition B - cooked green garden beans, pasta and chicken; condition AB - carrot sticks, green garden beans, pasta and chicken. Two one-vegetable conditions were compared with one two-vegetable condition. Data from Zurich, Switzerland, were analysed using one-way ANOVA.
SUBJECTS: Ninety-eight students (fifty-three men; mean age 22·8 (sd 2·2) years, minimum = 19 years, maximum = 29 years).
RESULTS: Participants who could choose from two vegetables derived significantly more energy (141 kJ) from vegetables compared with participants in the one-vegetable condition (104 and 84 kJ, respectively). Furthermore, in the two-vegetable condition, the relative energy of the meal derived from vegetables (10·9 %) increased significantly compared with the one-vegetable condition (8 % and 6·1 %, respectively). The total energy content of the meal (mean 1472 (sd 468) kJ) was not affected by the experimental manipulation.
CONCLUSIONS: Having a choice of vegetables increases a person's tendency to choose vegetables and leads to the selection of a more balanced meal. Serving an assortment of vegetables as side dishes might be a simple and effective strategy to improve food selection.

Entities:  

Mesh:

Year:  2011        PMID: 21557868     DOI: 10.1017/S136898001100067X

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  12 in total

1.  Modeling Dynamic Food Choice Processes to Understand Dietary Intervention Effects.

Authors:  Christopher Steven Marcum; Megan R Goldring; Colleen M McBride; Susan Persky
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2.  Fruit and Vegetable Consumption of US Adults by Level of Variety, What We Eat in America, NHANES 2013-2016.

Authors:  M Katherine Hoy; John C Clemens; Carrie L Martin; Alanna J Moshfegh
Journal:  Curr Dev Nutr       Date:  2020-02-04

3.  Altering the availability or proximity of food, alcohol, and tobacco products to change their selection and consumption.

Authors:  Gareth J Hollands; Patrice Carter; Sumayya Anwer; Sarah E King; Susan A Jebb; David Ogilvie; Ian Shemilt; Julian P T Higgins; Theresa M Marteau
Journal:  Cochrane Database Syst Rev       Date:  2019-09-04

4.  Altering the availability or proximity of food, alcohol, and tobacco products to change their selection and consumption.

Authors:  Gareth J Hollands; Patrice Carter; Sumayya Anwer; Sarah E King; Susan A Jebb; David Ogilvie; Ian Shemilt; Julian P T Higgins; Theresa M Marteau
Journal:  Cochrane Database Syst Rev       Date:  2019-08-27

Review 5.  Increasing vegetable intakes: rationale and systematic review of published interventions.

Authors:  Katherine M Appleton; Ann Hemingway; Laure Saulais; Caterina Dinnella; Erminio Monteleone; Laurence Depezay; David Morizet; F J Armando Perez-Cueto; Ann Bevan; Heather Hartwell
Journal:  Eur J Nutr       Date:  2016-01-11       Impact factor: 5.614

6.  Menu-engineering in restaurants - adapting portion sizes on plates to enhance vegetable consumption: a real-life experiment.

Authors:  Machiel J Reinders; Marlijn Huitink; S Coosje Dijkstra; Anna J Maaskant; Joris Heijnen
Journal:  Int J Behav Nutr Phys Act       Date:  2017-12-25       Impact factor: 6.457

7.  Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment.

Authors:  Simon Mezgec; Tome Eftimov; Tamara Bucher; Barbara Koroušić Seljak
Journal:  Public Health Nutr       Date:  2018-04-06       Impact factor: 4.022

8.  Weight loss effects from vegetable intake: a 12-month randomised controlled trial.

Authors:  L C Tapsell; M J Batterham; R L Thorne; J E O'Shea; S J Grafenauer; Y C Probst
Journal:  Eur J Clin Nutr       Date:  2014-03-26       Impact factor: 4.016

9.  Health goal priming as a situated intervention tool: how to benefit from nonconscious motivational routes to health behaviour.

Authors:  Esther K Papies
Journal:  Health Psychol Rev       Date:  2016-05-19

10.  Improvement in Healthy Meal Index, Lunch Quality, and Diversity Scores Following an Integrated Nutritional Intervention in a Communal Dining Room: The NEKST Study.

Authors:  Ofira Katz-Shufan; Tzahit Simon-Tuval; Liron Sabag; Danit R Shahar
Journal:  Nutrients       Date:  2020-06-10       Impact factor: 5.717

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