Impact of Behavioral Economic Strategies on Low-Income Older Adults' Food Choices in Online Retail Settings

摘要 导师研究科学家发展奖(K01)将支持我的长期职业目标 成为专门改善健康行为和预防慢性病的独立调查员 高危人群的疾病发展，包括老龄化人口和接受营养援助的人群。 老年人患慢性病的风险更高，包括几种与贫穷密切相关的疾病 营养。研究表明，增加水果和蔬菜的摄入量可以降低患多发性慢性病的风险 疾病。然而，很少有老年人摄入推荐量的水果和蔬菜， 尤其是那些收入有限的人。虽然大多数美国成年人至少还会光顾商店购买食品杂货 每周一次的在线杂货购物正在迅速流行起来，包括在老年人中。这个 在线食品杂货购物的增长为在线定制健康饮食干预措施提供了一个充满希望的机会 食品零售环境。然而，据我们所知，还没有研究评估旨在 在低收入老年人中推广更健康的网上食品购买。为了解决这些差距， 文献，这项建议的具体目的是：1)发展行为经济学的组成部分 影响饮食行为的策略(即，健康捆绑默认)；2)描述在线杂货购物的特征 全国范围内低收入老年人的行为和态度；以及3)检查“健康”的程度 捆绑违约“和其他行为经济策略增加了低收入人群的水果和蔬菜购买量 一项在线随机对照实验中的收入成年人。数据为健康的发展提供信息 AIM 1中的“捆绑违约”将来自全国家庭食品采购调查 (FoodAPS)，一项具有全国代表性的家庭食品采购和采购调查，包括 补充营养援助计划(SNAP)家庭。对于目标2和目标3，我将在全国范围内招募一名 由2528名50岁的低收入成年人组成的非概率小组，来自国际调查抽样中心(SSI)， 一家在线调查公司，通过他们的在线小组和其他方式招募志愿者研究参与者 在线社区。拟议研究的结果将支持新的和更多的- 在患病风险增加的老龄化人口中改善食品购买所需的方法 以营养为主的疾病。我的培训目标与我的研究目标密切相关，并将进一步提高我的 理解：1)衰老与健康，2)行为经济学，3)实验研究方法，4) 调查设计和开发。这一培训将通过额外的专业发展得到加强 活动，包括出席国家学术会议并在会上发言，以传播研究成果。这个 该项目建立在纽约大学医学院和其他机构特殊资源和指导的基础上 在关键新领域对我进行培训，支持有竞争力的资金申请，为 合作，实现研究自主性。

ABSTRACT The Mentored Research Scientist Development Award (K01) will support my long-term career objective of becoming an independent investigator who specializes in improving health behaviors and preventing chronic disease development in high-risk groups, including aging populations and those receiving nutrition assistance. Older adults have a higher risk of chronic disease, including several conditions strongly associated with poor nutrition. Increased intake of fruits and vegetables has been shown to lower the risk of multiple chronic diseases. However, very few older adults consume the recommended amounts of fruits and vegetables, especially those with limited income. While most adults in the U.S. still visit a store to buy groceries at least once a week, online grocery shopping is rapidly expanding in popularity, including among older adults. The growth in online grocery shopping offers a promising opportunity to tailor healthy eating interventions to online food retail environments. However, to our knowledge, no research has evaluated interventions designed to promote healthier online food purchases among low-income older adults. To address these gaps in the literature, the specific aims of this proposal are to 1) develop the components of a behavioral economics strategy (i.e., healthy bundle defaults) to influence diet behaviors; 2) characterize the online grocery shopping behaviors and attitudes of low-income older adults nationally; and 3) examine the extent to which “healthy bundles defaults” and other behavioral economic strategies increase fruit and vegetable purchases among low- income adults in an online randomized controlled experiment. Data to inform the development of “healthy bundle defaults” in Aim 1 will come from the National Household Food Acquisition and Purchase Survey (FoodAPS), a nationally representative survey of household food purchases and acquisitions, including Supplemental Nutrition Assistance Program (SNAP) households. For Aims 2 and 3, I will recruit a nationwide nonprobability panel of 2,528 low-income adults aged >50 years through Survey Sampling International (SSI), an online surveying company that recruits volunteer research participants through their online panels and other online communities. The findings from the proposed research will support the development of novel and much- needed approaches to improving food purchases in an aging population with an elevated risk of developing nutrition-based diseases. My training goals closely parallel my research aims and will further enhance my understanding of: 1) aging and health, 2) behavioral economics, 3) experimental research methods, and 4) survey design and development. This training will be augmented with additional professional development activities, including attending and presenting at national academic meetings to disseminate findings. The project builds upon the exceptional resources and mentoring at NYU School of Medicine and other institutions to train me in key new areas, bolster applications for competitive funding, provide opportunities for collaboration, and attain research independence.