A Smart System to Empower Healthy Food Choices

支持健康食品选择的智能系统

• 批准号: ES/V011901/1
• 负责人: Dawn Holford
• 金额: $ 13.1万
• 依托单位: University of Essex
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FV011901%2F1
• 关键词: Smart; System; Empower; Healthy; Food

Proper nutrition and healthy diets are a key aspect of health, which mandatory food labelling in the UK tries to address by empowering people with the information to help them make healthier choices. The format of this information (e.g., verbal quantifiers like 'low fat' or numerical quantifiers like '5% fat') affects whether people can easily understand and use food labels. Examining how people's judgements and decisions with respect to food differ depending on food label format therefore has wide-reaching impact for health policy decisions, consumer behaviour, and food industry practice. This project will use computational methods to identify different strategies people use to decide what foods are healthiest (e.g., less fat, or less sugar, etc.) I will evaluate which strategies produce the healthiest choices, use these insights to inform policy and conduct knowledge exchange with my industry partner. The project will consolidate my PhD, which investigated differences in people's decision-making strategies when using verbal and numerical quantifiers on food labels. Using a mixture of behavioural tasks, surveys, and eye-tracking methodology, I identified that different ways of presenting quantities can lead to people relying on different pieces of information to judge food. I intend to extend this research and maximise its impact in four ways. First, I will apply new and advanced statistical modelling to my research. To classify and predict food choice strategies in my data, I will learn two modelling techniques: multinomial processing trees, a probability-based method to classify choices, and machine learning, which makes predictions based on patterns in data. For example, I would expect the models to identify cues on food labelling that predict the choices people will make. Using the results of these analyses, I will submit a planned research protocol (a 'Registered Report') to test my model on real-life products. Registered Reports receive peer review prior to data collection, so submitting it during the Fellowship supports my future academic research beyond the Fellowship. Second, I will extend the impact of my work through knowledge exchange with the start-up company Keep Fit Eat Fit Wellbeing Ltd (KFEF). As part of a holistic wellness package, KFEF produces healthy eating advice and recipes with nutritional information for their clients. My research will inform the design of their content for clients. In turn, working with them gives me access to usage metrics from their customer portal that I will analyse to determine if the communication formats are effective. These real-world data will reinforce the lab studies from my PhD and help KFEF improve their product offering. Third, I will disseminate my research findings to academic and non-academic audiences. For academic audiences, I will produce three new journal articles and present my work at one local and one international academic conference. I will also engage with non-academic audiences through preparing press releases, submitting a policy brief to present at the All-Party Parliamentary Food and Health Forum, and attending a Westminster Food and Nutrition Forum conference. Engaging with policy-makers through these channels will help me lobby for positive change to food labelling guidelines.Finally, I will prepare a proposal for funding from the Wellcome Trust to create and test a technological system that supports informed food choices. This future proposal will be informed by my PhD data, computational modelling research, and collaborations with: industry (Keep Fit Eat Fit), experts in shaping behavioural policy (at the University of Reading), and experts in technological health interventions (at the University of Konstanz). Ultimately, my research seeks to improve the food choice environment for consumers and empower them to make informed, healthy choices.

适当的营养和健康的饮食是健康的一个关键方面，英国强制性食品标签试图通过向人们提供信息来帮助他们做出更健康的选择来解决这一问题。这些信息的格式(例如，像“低脂肪”这样的语言量词或像“5%脂肪”这样的数字量词)会影响人们是否容易理解和使用食品标签。因此，研究人们对食品的判断和决定如何根据食品标签格式的不同而不同，对卫生政策决策、消费者行为和食品行业实践具有广泛的影响。这个项目将使用计算方法来确定人们使用的不同策略来决定哪些食物是最健康的(例如，较少的脂肪或较少的糖等)。我将评估哪些策略产生了最健康的选择，利用这些见解为政策提供信息，并与我的行业合作伙伴进行知识交流。该项目将巩固我的博士学位，该博士研究了在食品标签上使用语言和数字量词时，人们决策策略的差异。通过混合使用行为任务、调查和眼球跟踪方法，我发现，不同的数量呈现方式可能会导致人们依赖不同的信息来判断食物。我打算扩展这项研究，并通过四种方式最大限度地发挥其影响。首先，我将把新的和先进的统计模型应用到我的研究中。为了在我的数据中对食物选择策略进行分类和预测，我将学习两种建模技术：多项式处理树，一种基于概率的选择分类方法，以及机器学习，它根据数据中的模式进行预测。例如，我希望这些模型能识别出食品标签上的线索，从而预测人们将做出的选择。利用这些分析的结果，我将提交一份计划中的研究方案(注册报告)，以在现实生活中的产品上测试我的模型。注册的报告在数据收集之前接受同行评审，因此在奖学金期间提交它有助于我未来在奖学金之外的学术研究。其次，我将通过与初创公司Keep Fit Eat Fit Wellbeing Ltd(KFEF)进行知识交流来扩大我的工作影响。作为整体健康套餐的一部分，KFEF为客户提供健康饮食建议和食谱以及营养信息。我的研究将为客户提供设计他们的内容。反过来，与他们合作使我能够从他们的客户门户访问使用情况指标，我将对这些指标进行分析，以确定通信格式是否有效。这些真实世界的数据将加强我博士的实验室研究，并帮助KFEF改进他们的产品供应。第三，我将把我的研究成果传播给学术界和非学术界的受众。对于学术受众，我将发表三篇新的期刊文章，并在一次本地学术会议和一次国际学术会议上展示我的作品。我还将通过准备新闻稿、提交政策简报以提交给所有政党议会食品和健康论坛以及出席威斯敏斯特食品和营养论坛会议，与非学术受众接触。通过这些渠道与政策制定者接触，将有助于我游说积极改变食品标签指南。最后，我将准备一份提案，从惠康信托基金获得资金，以创建和测试一个支持知情食品选择的技术系统。这个未来的提案将由我的博士数据、计算模型研究以及与以下机构的合作提供信息：工业界(Keep Fit Eat Fit)、塑造行为政策方面的专家(在雷丁大学)，以及技术健康干预方面的专家(在康斯坦茨大学)。最终，我的研究旨在改善消费者的食品选择环境，使他们能够做出明智、健康的选择。

项目成果

When Science Becomes Embroiled in Conflict: Recognizing the Public's Need for Debate while Combating Conspiracies and Misinformation.

• DOI: 10.1177/00027162221084663
• 发表时间: 2022-03
• 期刊: The Annals of the American Academy of Political and Social Science
• 作者: Lewandowsky S;Armaos K;Bruns H;Schmid P;Holford DL;Hahn U;Al-Rawi A;Sah S;Cook J
• 通讯作者: Cook J

Planning engagement with web resources to improve diet quality and break up sedentary time for home-working employees: A mixed methods study.

• DOI: 10.1037/ocp0000356
• 发表时间: 2023-08
• 期刊: JOURNAL OF OCCUPATIONAL HEALTH PSYCHOLOGY
• 影响因子: 5.1
• 作者: Holford, Dawn;Tognon, Gianluca;Gladwell, Valerie;Murray, Kelly;Nicoll, Mark;Knox, Angela;McCloy, Rachel;Loaiza, Vanessa
• 通讯作者: Loaiza, Vanessa

An Evaluation of the COVID-19 Pandemic and Perceived Social Distancing Policies in Relation to Planning, Selecting, and Preparing Healthy Meals: An Observational Study in 38 Countries Worldwide.

• DOI: 10.3389/fnut.2020.621726
• 发表时间: 2020
• 期刊: Frontiers in nutrition
• 影响因子: 5
• 作者: De Backer C;Teunissen L;Cuykx I;Decorte P;Pabian S;Gerritsen S;Matthys C;Al Sabbah H;Van Royen K;Corona Cooking Survey Study Group
• 通讯作者: Corona Cooking Survey Study Group

Ambiguity and unintended inferences about risk messages for COVID-19.

• DOI: 10.1037/xap0000416
• 发表时间: 2022-09
• 期刊: JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED
• 影响因子: 2.6
• 作者: Holford, Dawn Liu;Juanchich, Marie;Sirota, Miroslav
• 通讯作者: Sirota, Miroslav

Characteristics of quantifiers moderate the framing effect

• DOI: 10.1002/bdm.2251
• 发表时间: 2021-05-12
• 期刊: JOURNAL OF BEHAVIORAL DECISION MAKING
• 影响因子: 2
• 作者: Holford, Dawn L.;Juanchich, Marie;Sirota, Miroslav
• 通讯作者: Sirota, Miroslav