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

摘要 指导研究科学家发展奖（K 01）将支持我的长期职业目标， 成为一名独立的调查员，专门从事改善健康行为和预防慢性 高风险群体的疾病发展，包括老龄人口和接受营养援助的人。 老年人患慢性病的风险更高，包括与贫困密切相关的几种疾病。 营养增加水果和蔬菜的摄入量已被证明可以降低多种慢性疾病的风险。 疾病然而，很少有老年人食用推荐量的水果和蔬菜， 特别是那些收入有限的人。虽然美国的大多数成年人仍然去商店买杂货， 每周一次的网上杂货店购物正在迅速普及，包括在老年人中。的 在线杂货店购物的增长为在线定制健康饮食干预提供了一个有希望的机会。 食品零售环境。然而，据我们所知，没有研究评估旨在 在低收入老年人中促进更健康的网上食品购买。为了解决这些差距， 文献，这一建议的具体目标是1）发展行为经济学的组成部分 策略（即，健康的捆绑默认值）影响饮食行为; 2）表征在线杂货店购物 全国低收入老年人的行为和态度; 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， 收入的成年人在一个在线随机对照实验。数据告知“健康”发展 目标1中的“捆绑式默认”将来自全国家庭食品收购和购买调查 （FoodAPS）是一项全国代表性的家庭食品购买和收购调查，包括 补充营养援助计划（SNAP）家庭。为了实现目标2和3，我将在全国范围内招募一名 通过国际抽样调查（SSI）对2，528名年龄>50岁的低收入成年人进行非概率调查， 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开发新的和多- 需要采取措施，改善老龄化人口的食品购买， 营养性疾病。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）老龄化和健康，2）行为经济学，3）实验研究方法，4） 调查设计和开发。这种培训将通过额外的专业发展得到加强 活动，包括出席和在国家学术会议上发言，以传播研究结果。的 该项目建立在纽约大学医学院和其他机构的特殊资源和指导的基础上 在关键的新领域培训我，支持有竞争力的资金申请，提供机会， 合作，实现研究独立。

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.