Literature DB >> 27256562

Consumers' practical understanding of healthy food choices: a fake food experiment.

Sonja Mötteli1, Carmen Keller1, Michael Siegrist1, Jana Barbey1, Tamara Bucher2.   

Abstract

Little is known about laypeople's practical understanding of a healthy diet, although this is important to successfully promote healthy eating. The present study is the first to experimentally examine how consumers define healthy and balanced food choices for an entire day compared with normal choices and compared with dietary guidelines. We used an extensive fake food buffet (FFB) with 179 foods commonly consumed in the Swiss diet. The FFB is a validated method to investigate food choice behaviour in a well-controlled laboratory setting. People from the general population in Switzerland (n 187; 51·9 % females), aged between 18 and 65 years, were randomly assigned to one of two conditions. In the control group, the participants were instructed to serve themselves foods they would eat on a normal day, whereas in the 'healthy' group they were instructed to choose foods representing a healthy diet. Participants chose significantly more healthy foods, with 4·5 g more dietary fibre, 2 % more protein and 2 % less SFA in the 'healthy' group compared with the control group. However, in both experimental conditions, participants served themselves foods containing twice as much sugar and salt than recommended by dietary guidelines. The results suggest that laypeople lack knowledge about the recommended portion sizes and the amounts of critical nutrients in processed food, which has important implications for communicating dietary guidelines. Furthermore, the energy of the food served was substantially correlated with the energy needs of the participants, demonstrating the potential of the fake food buffet method.

Entities:  

Keywords:  Consumer behaviours; Dietary recommendations; Fake foods; Food choices; Healthy eating; Portion size

Mesh:

Year:  2016        PMID: 27256562     DOI: 10.1017/S0007114516002130

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  7 in total

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Authors:  Hala Ghattas; Zeina Jamaluddine; Aline Semaan; Nehmat El-Helou; Gloria Safadi; Tatiana Elghossain; Christelle Akl; Shady Elbassuoni; Ali Chalak; Jalila El Ati
Journal:  PLoS One       Date:  2022-07-20       Impact factor: 3.752

Review 2.  A word of caution against excessive protein intake.

Authors:  Bettina Mittendorfer; Samuel Klein; Luigi Fontana
Journal:  Nat Rev Endocrinol       Date:  2019-11-14       Impact factor: 43.330

3.  ServAR: An augmented reality tool to guide the serving of food.

Authors:  Megan E Rollo; Tamara Bucher; Shamus P Smith; Clare E Collins
Journal:  Int J Behav Nutr Phys Act       Date:  2017-05-12       Impact factor: 6.457

4.  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

5.  Consumers' Motives for Eating and Choosing Sweet Baked Products: A Cross-Cultural Segmentation Study.

Authors:  Annchen Mielmann; Thomas A Brunner
Journal:  Foods       Date:  2020-12-07

Review 6.  The Use of Portion Control Plates to Promote Healthy Eating and Diet-Related Outcomes: A Scoping Review.

Authors:  Si Si Jia; Qingzhou Liu; Margaret Allman-Farinelli; Stephanie R Partridge; Amy Pratten; Lisa Yates; Matthew Stevens; Bronwyn McGill
Journal:  Nutrients       Date:  2022-02-20       Impact factor: 5.717

7.  The international food unit: a new measurement aid that can improve portion size estimation.

Authors:  T Bucher; M Weltert; M E Rollo; S P Smith; W Jia; C E Collins; M Sun
Journal:  Int J Behav Nutr Phys Act       Date:  2017-09-12       Impact factor: 6.457

  7 in total

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