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      Effects of interpretive front-of-pack nutrition labels on food purchases: protocol for the Starlight randomised controlled trial

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          Abstract

          Background

          Interpretive front-of-pack nutrition labels are better understood than non-interpretive labels. However, robust evidence on the effects of such labels on consumer food purchases in the real-world is lacking. Our aim is to assess the effects of two interpretive front-of-pack nutrition labels, compared with a non-interpretive label, on the healthiness of consumer food purchases.

          Methods/Design

          A five-week (1-week baseline and 4-week intervention) three-arm parallel randomised controlled trial will be conducted using a bespoke smartphone application, which will administer study questionnaires and deliver intervention (Multiple Traffic Light and Health Star Rating) and control (Nutrition Information Panel) labels. To view their allocated nutrition label, participants scan the barcode of packaged food products using their smartphone camera. The assigned label is displayed instantly on the smartphone screen.1500 eligible participants (New Zealand adult smartphone owners who shop in a supermarket at least once a week and are main household shoppers) will be randomised in a 1:1:1 ratio to one of the three nutrition label formats, using computer-generated randomisation sequences. Randomisation will be stratified by ethnicity and interest in healthy eating. Food and beverage purchase data will be collected continuously throughout the study via hard copy till receipts and electronic grocery purchase lists recorded and transmitted using the smartphone application. The primary outcome will be healthiness of food purchases in each trial arm, assessed as mean Food Standards Australia New Zealand nutrient profiling score criterion score for all food and beverages purchased over the intervention period. Secondary outcomes will include saturated fat, sugar, sodium and energy content of food purchases; food expenditure; labelling profile of food purchases (i.e. mean number of Health Star Rating stars and proportion of red, green and amber traffic lights); nutrient profiling score over time and by food categories; purchases of unpackaged foods; self-reported nutrition knowledge and recorded use of assigned labelling system.

          Discussion

          The Starlight randomised, controlled trial will determine the effects of interpretive front-of-pack nutrition labels on the healthiness of consumer food purchases in the real world.

          Trial registration

          Australian New Zealand Clinical Trials Registry ACTRN12614000644662 (registered 18 June 2014).

          Related collections

          Most cited references17

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          A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices.

          We assessed whether a 2-phase labeling and choice architecture intervention would increase sales of healthy food and beverages in a large hospital cafeteria. Phase 1 was a 3-month color-coded labeling intervention (red = unhealthy, yellow = less healthy, green = healthy). Phase 2 added a 3-month choice architecture intervention that increased the visibility and convenience of some green items. We compared relative changes in 3-month sales from baseline to phase 1 and from phase 1 to phase 2. At baseline (977,793 items, including 199,513 beverages), 24.9% of sales were red and 42.2% were green. Sales of red items decreased in both phases (P < .001), and green items increased in phase 1 (P < .001). The largest changes occurred among beverages. Red beverages decreased 16.5% during phase 1 (P < .001) and further decreased 11.4% in phase 2 (P < .001). Green beverages increased 9.6% in phase 1 (P < .001) and further increased 4.0% in phase 2 (P < .001). Bottled water increased 25.8% during phase 2 (P < .001) but did not increase at 2 on-site comparison cafeterias (P < .001). A color-coded labeling intervention improved sales of healthy items and was enhanced by a choice architecture intervention.
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            Impact of front-of-pack 'traffic-light' nutrition labelling on consumer food purchases in the UK.

            Front-of-pack 'traffic-light' nutrition labelling has been widely proposed as a tool to improve public health nutrition. This study examined changes to consumer food purchases after the introduction of traffic-light labels with the aim of assessing the impact of the labels on the 'healthiness' of foods purchased. The study examined sales data from a major UK retailer in 2007. We analysed products in two categories ('ready meals' and sandwiches), investigating the percentage change in sales 4 weeks before and after traffic-light labels were introduced, and taking into account seasonality, product promotions and product life-cycle. We investigated whether changes in sales were related to the healthiness of products. All products that were not new and not on promotion immediately before or after the introduction of traffic-light labels were selected for the analysis (n = 6 for ready meals and n = 12 for sandwiches). For the selected ready-meals, sales increased (by 2.4% of category sales) in the 4 weeks after the introduction of traffic-light labels, whereas sales of the selected sandwiches did not change significantly. Critically, there was no association between changes in product sales and the healthiness of the products. This short-term study based on a small number of ready meals and sandwiches found that the introduction of a system of four traffic-light labels had no discernable effect on the relative healthiness of consumer purchases. Further research on the influence of nutrition signposting will be needed before this labelling format can be considered a promising public health intervention.
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              Use and understanding of nutrition information on food labels in six European countries

              Aim The goal of the study was to investigate the use of nutrition information on food labels and understanding of guideline daily amount (GDA) front-of-pack nutrition labels in six European countries. Subjects and methods In-store observations and in-store interviews were conducted in major retailers in the UK (n = 2019), Sweden (n = 1858), France (n = 2337), Germany (n = 1963), Poland (n = 1800) and Hungary (n = 1804), supplemented by questionnaires filled out at home and returned (overall response rate 50.3%). Use of labels was measured by combining in-store observations and in-store interviews on concrete purchases in six product categories. Understanding of GDA front-of-pack nutrition labels was measured by a variety of tasks dealing with conceptual understanding, substantial understanding and health inferences. Demographics, nutrition knowledge and interest in healthy eating were measured as potential determinants. Results Across six product categories, 16.8% of shoppers were found to have looked for nutrition information on the label, with the nutrition grid (table or list), GDA labels and the ingredients list as the main sources consulted and calories, fat and sugar the information most often looked for. Understanding of GDA labels was high in the UK, Sweden and Germany, and more limited in the other countries. Regression analysis showed that, in addition to country-specific differences, use and understanding are also affected by differences in interest in healthy eating and in nutrition knowledge and by social grade. Conclusion Understanding of nutrition information seems to be more widespread than use, suggesting that lack of use is a question of not only understanding, but also motivation. Considerable national differences exist in both understanding and use, some of which may be attributed to different histories of the role of nutrition in the public debate.
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                Author and article information

                Contributors
                k.volkova@auckland.ac.nz
                bneal@georgeinstitute.org.au
                mike.rayner@dph.ox.ac.uk
                boyd.swinburn@auckland.ac.nz
                h.eyles@auckland.ac.nz
                y.jiang@auckland.ac.nz
                j.michie@auckland.ac.nz
                c.nimhurchu@auckland.ac.nz
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                18 September 2014
                18 September 2014
                2014
                : 14
                : 1
                : 968
                Affiliations
                [ ]National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
                [ ]The George Institute for Global Health, Sydney, Australia
                [ ]British Heart Foundation Centre on Population Approaches for Non-Communicable Disease Prevention, Oxford, UK
                [ ]Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand
                Article
                7108
                10.1186/1471-2458-14-968
                4192397
                25236611
                e7b78d27-746b-49aa-8ec5-cfac54215229
                © Volkova et al.; licensee BioMed Central Ltd. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.

                History
                : 12 August 2014
                : 15 September 2014
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2014

                Public health
                nutrition labeling,mobile applications,technology,nutrition policy,randomized controlled trial (rct),traffic-light label,health star rating label

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