Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/117395
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Protocol for a randomized trial assessing consumer evaluations of pre-packaged foods that systematically vary by nutrition information and product attributes
Author: Talati Z, Pettigrew S, Dixon H, Neal B, Hughes C, Shilton T
Miller, C.
Citation: BMC Nutrition, 2018; 3(1):1-12
Publisher: BioMed Central
Issue Date: 2018
ISSN: 2055-0928
2055-0928
Statement of
Responsibility: 
Zenobia Talati, Simone Pettigrew, Helen Dixon, Bruce Neal, Clare Hughes, Trevor Shilton and Caroline Miller
Abstract: Background: Nutrition information is increasingly provided on pre-packaged foods as a public health measure to help consumers make healthier food choices. Many studies have looked at the independent effects of three main sources of nutrition information: the Nutrition Information Panel (NIP), front-of-pack labels and health claims. However, few studies have considered their interactive effects. A better understanding of how these different sources of nutrition information interact with each other is important given they frequently appear together on food packs. There are also policy implications since many countries specifically mandate the provision of an NIP whenever a health claim is made. Methods: This paper outlines a protocol for an experimental study assessing how nutrition information (FoPLs, health claims and NIP), in combination with food type, price and product healthiness interact to affect consumers’ product evaluations. Consumers’ global impressions, perceptions of healthiness, purchase intentions and assumptions relating to the amount of the product that is appropriate/desirable to consume will be assessed. The nutrition information presented will include NIPs, front-of-pack labels (Daily Intake Guide, Multiple Traffic Light system, Health Star Rating system) and health claims (nutrient content, general level, higher level). A diverse sample of approximately 2000 Australians will be recruited to complete an online survey that will require them to evaluate a range of hypothetical products with varying nutrition and price attributes. All attribute levels will be fully crossed with each other, resulting in a full factorial design. This design has not been used in past studies and offers a higher level of control than achieved previously due to the ability to explore interactions between all attribute levels. Discussion: Study results will indicate (1) the independent and combined effects of each attribute on consumer evaluations, (2) which front-of-pack labels are more effective at helping consumers distinguish between healthier and less healthy foods and (3) how health claims affect perceptions of healthiness. The study will also provide crucial information on the effectiveness of the new Health Star Rating system, for which quantitative research is currently lacking. Trial registration: Australian and New Zealand Clinical Trials Registry ACTRN12616000626460. Retrospectively registered: 16 May, 2016.
Keywords: Daily Intake Guide; traffic light; Health Star; health claim; nutrition information; front-of-pack labels
Rights: © The Author(s). 2017 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
DOI: 10.1186/s40795-016-0119-x
Grant ID: http://purl.org/au-research/grants/arc/LP130100428
Appears in Collections:Agriculture, Food and Wine publications
Aurora harvest 3

Files in This Item:
File Description SizeFormat 
hdl_117395.pdfPublished version3.39 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.