Administrative Supplement - Are Food Swamps Linked to Disparities in Ethnically Diverse Parents' Food Shopping Behaviors & Young Children's Diets?: Implications for Policy & Environmental Intervention

项目摘要/摘要 种族/少数民族儿童之间的肥胖差距正在扩大。这些差异可能与 不公平地暴露在食物沼泽环境中(即零售不健康食品的社区 环境淹没了更健康的替代品)。然而，人们对邻里之间的联系机制知之甚少 饮食环境对儿童饮食和肥胖的影响。为了填补这一空白，我们提出了以社区为基础的 参与性研究(CBPR)项目，使用混合方法来探索食物之间的关系 沼泽环境和父母的餐饮购物习惯，不同种族的父母的看法 不健康与健康食品和饮料的获取情况，以及年轻人的饮食质量和食物偏好 儿童(2-5岁)。在第一阶段，我们将使用说明性的顺序混合方法来设计和完成 6个社会经济多元化的哈特福德社区食品环境的客观评价 使用次级数据和主要食品店审计的社区，随后进行简短采访 社区利益相关者征求反馈意见。该项目的这一阶段将导致食物沼泽的水平 人口普查区组级别的暴露分数和地理信息系统地图。在第二阶段，我们将调查不同种族的 父母(n=300)与幼儿一起评估他们的餐饮购物习惯，家中食物 环境、儿童食品和饮料偏好和摄入量，以及父母对他们食物的看法 环境，以及他们对政策、系统和环境(PSE)战略的支持程度 少数民族儿童之间的饮食差异。然后，将量化调查的主要发现与背景联系起来 数据，我们将与幼儿的父母(n=40)进行焦点小组，然后应用小说 混合方法地理信息系统制图技术。我们将采取收敛的混合方法，并 使用联合显示器分析/解释第二阶段的定量和定性数据。最后阶段 (阶段3)从阶段1和阶段2中汲取成果，共同开发基于社区的 社区咨询委员会的PSE干预试验。我们将就干预计划草案征求反馈意见 来自常驻家长(N=20)通过焦点小组。拟议的研究将提高我们对 邻里因素(即食物获取)是儿童早期饮食不平等的决定因素。本K01大奖 将允许Cooksey Stowers博士获得必要的培训和指导，以开发出独特的、 整合了CBPR、地理信息系统、混合方法和干预的独立健康公平研究计划 发展(即PSE战略)。这项工作的结果将为PI未来的R01应用程序提供参考 实施社区RCT检测社区食品PSE干预的研究 环境。这一K01奖项还将允许PI获得培训和指导，以开发独特的、 整合CBPR、营养差异、地理空间分析技术和 混合方法，最终减轻幼儿中与饮食有关的健康不平等。

Project Summary/Abstract Obesity disparities among racial/ethnic minority children are widening. These disparities may berelated to inequitable exposure to food swamp environments (i.e., neighborhoods where unhealthy food retail environments inundate healthier alternatives). Yet, little is known about themechanisms linking neighborhood food environments to child diet and obesity disparities. To fill this gap, we propose a community-based participatory research (CBPR) project utilizing mixed methods to explore the relationships between food swamp environments and parents' food and beverage shopping habits, ethnically diverse parents' perceptions of unhealthy vs. healthy food and beverage access, and diet quality and food preferences among young children (ages 2- 5). In phase 1, we will use an explanatory sequential mixed methods design and complete objective assessments of neighborhood food environments in 6 socioeconomically diverse Hartford communities using both secondary data and primary food store audits followed by short interviews with community stakeholders to solicit feedback. This phase of the project will result in level of food swamp exposure scores and GIS maps at the census block group-level. In phase 2, we will survey ethnically diverse parents (n=300) with young children to assess their food and beverage shopping habits, the home food environment, child food and beverage preferences and intake, plus parents' perceptions of their food environment, and their level of support for Policy, Systems, and Environmental (PSE) strategies to alleviate dietary disparities among ethnic-minority children. Then, to contextualize key findings from quantitative survey data, we will conduct focus groups with parents (n=40) of young children followed by theapplication of novel mixed-methods GIS mapping techniques. We will take a convergent mixed methods approach and analyze/interpret Phase 2 quantitative and qualitative data together using joint displays. The final phase (Phase 3) involves drawing from Phase 1 and 2 findings to co-develop a community based PSE intervention trial with a Community Advisory Board. We will solicit feedback on the draft intervention plan from resident parents (N=20) via focus groups. The proposed research will improve our understanding of neighborhood factors (i.e., food access) as determinants of early childhood dietary inequities. This K01 award will allow Dr. Cooksey Stowers to obtain the necessary training and mentorship to develop a unique, independent health equity research program that integrates CBPR, GIS, Mixed Methods, and Intervention Development (i.e., PSE strategies). Findings from this work will inform the PI's future R01 application focused on implementing a community based RCT testing a PSE intervention targeting the neighborhood food environment. This K01 award will also allow the PI to obtain training and mentorship to develop a unique, independent research program that integrates CBPR, nutrition disparities, geospatial analytic techniques, and mixed methods with the ultimate of alleviating diet-related health inequities among young children.