@Article{信息:doi 10.2196 / /移动医疗。3230,作者=“Dunford, Elizabeth和Trevena, Helen和Goodsell, Chester和Ng, Ka Hung和Webster, Jacqui和Millis, Audra和Goldstein, Stan和Hugueniot, Orla和Neal, Bruce”,标题=“FoodSwitch:一个手机应用程序,使消费者做出更健康的食品选择和国家食品成分数据的众包”,期刊=“JMIR mHealth uHealth”,年=“2014”,月=“Aug”,日=“21”,卷=“2”,数=“3”,页=“e37”,关键词=“智能手机技术;交通灯标识;食物的选择;公共卫生营养;背景:包装正面营养标签(FoPL)计划可以帮助消费者了解食物的营养成分,并有助于选择更健康的食物。然而,大多数包装食品在澳大利亚没有携带易于解释的FoPL,没有标准的FoPL系统尚未被强制执行。大约三分之二的澳大利亚人现在拥有智能手机。目的:我们试图开发一款手机应用程序,为消费者提供易于理解的营养信息,并在购买食物时支持更健康的选择。方法:现有的品牌食品数据库包括17,000澳大利亚包装食品支持该项目。 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. ", issn="2291-5222", doi="10.2196/mhealth.3230", url="http://mhealth.www.mybigtv.com/2014/3/e37/", url="https://doi.org/10.2196/mhealth.3230", url="http://www.ncbi.nlm.nih.gov/pubmed/25147135" }
Baidu
map