Longitudinal and Micro-Level Dyadic Analysis of Toddler-Caregiver Feeding Interactions among Low-Income Dyads

项目摘要 这项建议的目的是提供培训机会和指导潜变量和 二元数据分析。这些技能将被用来检验亲子就餐的科学基础。 并预测学步儿童的体重增加。此培训补助金包括高级课程的作业。 面向专业发展的统计建模和指导。本课程的作业和 导师制提供了作为一名独立研究科学家建立基础的机会。 儿童肥胖症的流行增加了健康风险，从而造成了健康差距。 结果包括心血管疾病、哮喘和阻塞性睡眠障碍。肥胖会发生 在低收入和少数族裔儿童中不成比例。儿童肥胖的起源始于生命早期； 儿童早期养成的饮食习惯构成了长期生活方式行为的基础。亲子关系 吃饭时间的互动与儿童的饮食和超重有关。此外，母亲饮食失调 态度往往会导致用餐时间的互动不那么和谐。因此，对双向的调查 亲子用餐时间的互动可能有助于洞察无序的饮食模式，并最终减少 肥胖风险。 这项拟议的研究试图调查母亲的饮食态度和童年之间的关系。 健康结果。具体地说，这项研究旨在建立一个理论上包容的模型，以确定用餐时间是否 随着时间的推移，交互作用在母亲的饮食态度和孩子体重之间的关系中起到中介作用。潜变量 建模技术将被用来检验母亲的饮食态度是否会预测用餐行为和 蹒跚学步的体重轨迹。此外，这项拟议的研究旨在阐明两者之间的双向关系 用餐时间亲子互动。这将通过对密集的微观层面的分析来完成 二元纵向数据。这项拟议的研究在使用观察方法来检查 纵向并元相互作用。该项目符合NHLBI通过以下途径预防HLBS疾病的使命 确定与幼儿肥胖相关的可变危险因素。

Project Summary The purpose of this proposal is to provide training opportunities and mentorship in latent variable and dyadic data analyses. These skills will be used to examine the science that underlies parent-child mealtime interactions and to predict weight gain in toddlers. This training grant includes coursework in advanced statistical modeling and mentorship geared towards professional development. This coursework and mentorship provides the opportunity to build a foundation as an independent research scientist. The pediatric obesity epidemic contributes to health disparities by increasing the risk for health outcomes including cardiovascular disease, asthma, and obstructive sleep disorders. Obesity occurs disproportionately among low-income and minority children. The origins of pediatric obesity begin early in life; eating habits formed during early childhood comprise the basis of long term lifestyle behaviors. Parent-child mealtime interactions are linked to eating and overweight in children. Furthermore, disordered maternal eating attitudes often translate to less harmonious mealtime interactions. Therefore, investigation into bidirectional parent-child mealtime interactions may yield insight into disordered eating patterns and ultimately reduce obesity risk. The proposed study seeks to examine the relation between maternal eating attitudes and childhood health outcomes. Specifically, the study aims to create a theoretically inclusive model to determine if mealtime interactions mediate the relation between maternal eating attitudes and child weight over time. Latent variable modeling techniques will be used to examine if maternal eating attitudes predict mealtime behaviors and toddler weight trajectory. Additionally, the proposed study aims to elucidate the bidirectional relations between parent-child interactions during mealtimes. This will be accomplished using analysis of intensive micro-level dyadic longitudinal data. The proposed study is unique in the use of observational methods to examine longitudinal dyadic interactions. This project is in line with NHLBI's mission to prevent HLBS diseases through identification of changeable risk factors associated with obesity in young children.