Resemblance between child & parental eating, physical activity & obesity patterns

描述（由申请人提供）：这项为期2年的二级数据分析R 03项目的总体目标是研究美国儿童及其父母的饮食、体育活动（PA）模式和体重状况（肥胖）之间的差异，以及个人、家庭和环境因素对差异的影响。基于全国代表性数据，充分了解儿童肥胖的家庭差异和差异，相关的人群差异，以及差异的决定因素，将有助于了解儿童肥胖的病因，儿童饮食和PA行为的决定因素以及相关的健康差异，为制定基于人群的干预措施提供有用的见解，以帮助实现健康人2010年的国家目标。在拟议的研究中，将使用在三次调查中收集的具有国家代表性的相关数据，包括纵向数据，这些数据将与使用地理编码从其他数据来源获得的其他背景因素措施相联系。前三个目标是我们的主要目标，其他的是次要目标：目标1：检查孩子和父母在饮食摄入方面的相似性。我们将重点关注一些饮食质量的指标，包括食物组，能量和营养素的摄入量，以及整体饮食质量评分。目的2：研究个体、家庭和环境因素在儿童-父母摄入量相似性方面的差异。这将有助于增加我们对后者对相似性的影响的理解。将进行一系列分析以解决若干问题。目的3：研究儿童BMI和体重状况（肥胖）的亲子相似性及多水平因素对亲子相似性的影响。我们还将测试相似性是否随时间而变化，并将基于重复测量来测试BMI变化的相似性。目的4：研究儿童久坐行为与PA的亲子相似性及多水平因素的影响。目的5：评估测量误差对膳食摄入量相似性结果的影响，例如，通过比较测量误差校正（“校准”）与未校正的结果。一组复杂的统计方法，如多元线性和逻辑回归分析，多层次模型，结构方程模型将被用来实现我们的目标，特别是要检查的预测因素的影响。作为第一个基于国家数据和创新分析方法的此类研究，我们的研究结果将有助于填补文献中的一个重大空白，并具有许多重要的公共卫生意义。

DESCRIPTION (provided by applicant): The overall goal of this 2-year secondary data analysis R03 project is to study the resemblances between American children's and their parents' eating, physical activity (PA) patterns, and body weight status (obesity), and the influence of individual-, household-, and environmental factors on the resemblances. A good understanding of the familial resemblances and discrepancies, related between-population differences, and the determinants of the resemblances based on nationally representative data will help understand the etiology of childhood obesity, determinants of children's eating and PA behaviors and the related health disparities, provide useful insights for the development of population-based interventions to help achieve the Health People 2010 national goals. In the proposed study, related nationally representative data collected in three surveys, including longitudinal data, to be linked with additional contextual factor measures from other data sources using geocode will be used. The first three aims are our primary objectives, the others are secondary objectives: Aim 1: Examine the child-parent resemblance in dietary intakes. We will focus on a number of indicators of dietary quality including intakes of food groups, energy and nutrients, and an overall dietary quality score. Aim 2: Study the differences in the child-parent resemblance in intakes by individual-, household-, and environmental factors. This will help increase our understanding of the influence of the latter on the resemblance. A set of analyses will be conducted to address several questions. Aim 3: Study the child-parent resemblance in BMI and weight status (obesity) and the influence of the multi-level factors on the resemblance. We will also test if the resemblance has changed over time and will test the resemblance in BMI change based on repeated measures. Aim 4: Study the child-parent resemblance in PA and sedentary behaviors and the influence of multi-level factors. Aim 5: Assess the influence of measurement error on findings of the resemblance in dietary intakes, e.g., by comparing the measurement error corrected- ('calibrated') versus uncorrected results. A set of sophisticated statistical approaches such as multivariate linear and logistic regression analysis, multilevel models, and structural equation models will be used to achieve our goals, in particular, to examine the influence of the predictors. As the first such study based on national data and innovative analysis approaches, our findings will help fill a major gap in the literature and have many important public health implications.