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FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data

BACKGROUND: Front-of-pack nutrition labeling (FoPL) schemes can help consumers understand the nutritional content of foods and may aid healthier food choices. However, most packaged foods in Australia carry no easily interpretable FoPL, and no standard FoPL system has yet been mandated. About two th...

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Detalles Bibliográficos
Autores principales: Dunford, Elizabeth, Trevena, Helen, Goodsell, Chester, Ng, Ka Hung, Webster, Jacqui, Millis, Audra, Goldstein, Stan, Hugueniot, Orla, Neal, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147708/
https://www.ncbi.nlm.nih.gov/pubmed/25147135
http://dx.doi.org/10.2196/mhealth.3230
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author Dunford, Elizabeth
Trevena, Helen
Goodsell, Chester
Ng, Ka Hung
Webster, Jacqui
Millis, Audra
Goldstein, Stan
Hugueniot, Orla
Neal, Bruce
author_facet Dunford, Elizabeth
Trevena, Helen
Goodsell, Chester
Ng, Ka Hung
Webster, Jacqui
Millis, Audra
Goldstein, Stan
Hugueniot, Orla
Neal, Bruce
author_sort Dunford, Elizabeth
collection PubMed
description BACKGROUND: Front-of-pack nutrition labeling (FoPL) schemes can help consumers understand the nutritional content of foods and may aid healthier food choices. However, most packaged foods in Australia carry no easily interpretable FoPL, and no standard FoPL system has yet been mandated. About two thirds of Australians now own a smartphone. OBJECTIVE: We sought to develop a mobile phone app that would provide consumers with easy-to-understand nutrition information and support the selection of healthier choices when shopping for food. METHODS: An existing branded food database including 17,000 Australian packaged foods underpinned the project. An iterative process of development, review, and testing was undertaken to define a user interface that could deliver nutritional information. A parallel process identified the best approach to rank foods based on nutritional content, so that healthier alternative products could be recommended. RESULTS: Barcode scanning technology was identified as the optimal mechanism for interaction of the mobile phone with the food database. Traffic light labels were chosen as the preferred format for presenting nutritional information, and the Food Standards Australia New Zealand nutrient profiling method as the best strategy for identifying healthier products. The resulting FoodSwitch mobile phone app was launched in Australia in January 2012 and was downloaded by about 400,000 users in the first 18 months. FoodSwitch has maintained a 4-plus star rating, and more than 2000 users have provided feedback about the functionality. Nutritional information for more than 30,000 additional products has been obtained from users through a crowdsourcing function integrated within the app. CONCLUSIONS: FoodSwitch has empowered Australian consumers seeking to make better food choices. In parallel, the huge volume of crowdsourced data has provided a novel means for low-cost, real-time tracking of the nutritional composition of Australian foods. There appears to be significant opportunity for this approach in many other countries.
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spelling pubmed-41477082014-08-28 FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data Dunford, Elizabeth Trevena, Helen Goodsell, Chester Ng, Ka Hung Webster, Jacqui Millis, Audra Goldstein, Stan Hugueniot, Orla Neal, Bruce JMIR Mhealth Uhealth Original Paper BACKGROUND: Front-of-pack nutrition labeling (FoPL) schemes can help consumers understand the nutritional content of foods and may aid healthier food choices. However, most packaged foods in Australia carry no easily interpretable FoPL, and no standard FoPL system has yet been mandated. About two thirds of Australians now own a smartphone. OBJECTIVE: We sought to develop a mobile phone app that would provide consumers with easy-to-understand nutrition information and support the selection of healthier choices when shopping for food. METHODS: An existing branded food database including 17,000 Australian packaged foods underpinned the project. An iterative process of development, review, and testing was undertaken to define a user interface that could deliver nutritional information. A parallel process identified the best approach to rank foods based on nutritional content, so that healthier alternative products could be recommended. RESULTS: Barcode scanning technology was identified as the optimal mechanism for interaction of the mobile phone with the food database. Traffic light labels were chosen as the preferred format for presenting nutritional information, and the Food Standards Australia New Zealand nutrient profiling method as the best strategy for identifying healthier products. The resulting FoodSwitch mobile phone app was launched in Australia in January 2012 and was downloaded by about 400,000 users in the first 18 months. FoodSwitch has maintained a 4-plus star rating, and more than 2000 users have provided feedback about the functionality. Nutritional information for more than 30,000 additional products has been obtained from users through a crowdsourcing function integrated within the app. CONCLUSIONS: FoodSwitch has empowered Australian consumers seeking to make better food choices. In parallel, the huge volume of crowdsourced data has provided a novel means for low-cost, real-time tracking of the nutritional composition of Australian foods. There appears to be significant opportunity for this approach in many other countries. JMIR Publications Inc. 2014-08-21 /pmc/articles/PMC4147708/ /pubmed/25147135 http://dx.doi.org/10.2196/mhealth.3230 Text en ©Elizabeth Dunford, Helen Trevena, Chester Goodsell, Ka Hung Ng, Jacqui Webster, Audra Millis, Stan Goldstein, Orla Hugueniot, Bruce Neal. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 21.08.2014. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Dunford, Elizabeth
Trevena, Helen
Goodsell, Chester
Ng, Ka Hung
Webster, Jacqui
Millis, Audra
Goldstein, Stan
Hugueniot, Orla
Neal, Bruce
FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data
title FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data
title_full FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data
title_fullStr FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data
title_full_unstemmed FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data
title_short FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data
title_sort foodswitch: a mobile phone app to enable consumers to make healthier food choices and crowdsourcing of national food composition data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147708/
https://www.ncbi.nlm.nih.gov/pubmed/25147135
http://dx.doi.org/10.2196/mhealth.3230
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