Development of personalized healthy food incentives to improve diet and cardiovascular risk

标题：开发个性化健康食品激励措施以改善饮食和心血管风险 摘要 当务之急是解决推动食品决策和促进不健康饮食的复杂因素。 模式.这个指导职业奖将支持严格的培训和研究计划，将适用于混合 促进更健康的食品杂货购买和改善饮食摄入量和心血管（CV）健康的方法。 通过强大的指导和培训机会，我将适应和测试新的自动化机器- 基于学习的智能购物车2.0平台，为更健康的消费者提供个性化的推荐和激励 罗得岛成年人中有CV风险因素的杂货店购买情况（即，体重指数（BMI）> 30 kg/m2 和/或高血压）。到目前为止，我的大数据和饮食决策实验室的跨学科研究已经 重点调查大规模人群中食物选择和饮食质量的决定因素，并使用 这些见解来制定饮食干预措施。我以前开发和试点测试了半自动 个性化的健康食品激励平台，使用决策树逻辑，并发现它显着提高 在为期9个月的随机对照智能购物车研究中，健康成年人的食品杂货购买质量。的 拟议的项目通过使用杂货店销售数据的新应用程序来适应和评估 自动化的“智能购物车2.0”平台，以鼓励购买更健康的食品和提高饮食质量。适应 并将该平台扩展到高CV风险的成人，了解其可行性、可接受性和 初步有效性，以促进具有CV风险因素的成人采用更健康的饮食。这个项目 还提出了利用技术和机器学习自动评估销售数据的方法 并提供个性化的饮食建议在真实的时间。这项研究将使用肥胖- 相关行为干预试验（ORBIT）框架，以确定智能购物车2.0平台是否 根据具有CV风险因素的成人的输入进行调整和测试，可促进具有临床意义的饮食变化 质量和CV风险因素。在目标1中，我将评估智能购物车2.0的内容和功能在多大程度上满足 使用焦点小组和调查评估CV风险成人的需求。在目标2中，我将进行为期1周的3臂模拟 在模拟的网上杂货店进行购物试验，以了解平台对购买意愿的影响程度 (WTP)推荐的食物相对于对照使用离散选择任务比较a）个性化 建议B）个性化建议加激励措施c）通用教育和激励措施 （对照）。在目标3中，我将进行一项为期6个月的随机对照试验，以测试可接受性、可行性， 智能购物车2.0平台在改善现实世界饮食行为、饮食习惯、 质量、BMI和血压。该项目的结果将提供关键的试点数据，以支持更大的 随机对照试验。通过这个奖项建立的培训计划和合作将使我 开创一个政策相关的转化研究计划，重点是促进更健康的饮食模式， CV健康

Title: Development of personalized healthy food incentives to improve diet and cardiovascular risk ABSTRACT It is imperative to address the complex factors that drive food decisions and promote unhealthy dietary patterns. This mentored career award will support a rigorous training and research plan that will apply mixed methods to promote healthier grocery purchases and improve dietary intake and cardiovascular (CV) health. Through strong mentorship and training opportunities, I will adapt and test the novel automated machine- learning based Smart Cart 2.0 platform to deliver personalized recommendations and incentives for healthier grocery purchases among Rhode Island adults with CV risk factors (i.e., Body Mass Index (BMI) > 30 kg/m2 and/or hypertension). To date, interdisciplinary research from my Big Data and Eating Decisions lab has focused on investigating determinants of food choice and diet quality in large population cohorts and using those insights to develop dietary interventions. I previously developed and pilot tested a semi-automated personalized healthy food incentive platform using decision tree logic and found that it significantly improved grocery purchase quality among healthy adults in the 9-month randomized controlled Smart Cart Study. The proposed project extends this research by using novel applications of grocery sales data to adapt and evaluate the automated `Smart Cart 2.0' platform to encourage healthier food purchases and dietary quality. To adapt and scale this platform to adults at high CV risk, it is essential to understand its's feasibility, acceptability, and preliminary effectiveness to facilitate adoption of a healthier diet among adults with CV risk factors. This project also advances methodology to leverage technology and machine learning to automatically evaluate sales data and deliver personalized dietary recommendations in real time. The proposed research will use the Obesity- Related Behavioral Intervention Trials (ORBIT) framework to determine whether the Smart Cart 2.0 platform adapted and tested with input from adults with CV risk factors promotes a clinically significant change in diet quality and CV risk factors. In Aim 1, I will evaluate how well the Smart Cart 2.0 content and function meet the needs of adults at CV risk using focus groups and surveys. In Aim 2, I will conduct a 1-week 3-arm mock shopping trial in a simulated online grocery store to see how much the platform affects willingness to purchase (WTP) recommended foods relative to control using a discrete choice task comparing a) personalized recommendations b) personalized recommendations plus incentives to c) generic education and incentives (control). In Aim 3, I will conduct a pilot 6-month randomized controlled trial to test the acceptability, feasibility, and preliminary effectiveness of the Smart Cart 2.0 platform for improving real-world dietary behaviors, diet quality, BMI, and blood pressure. Results of this project will provide critical pilot data to support a larger randomized controlled trial. The training plan and collaborations established through this award will position me to pioneer a policy-relevant translational research program focused on promoting healthier dietary patterns and CV health.