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

描述(申请人提供)：这个为期两年的次级数据分析R03项目的总体目标是研究美国儿童和他们父母的饮食、体力活动(PA)模式和体重状况(肥胖)之间的相似性，以及个人、家庭和环境因素对相似性的影响。根据具有全国代表性的数据，很好地了解家族相似和差异、相关的人口间差异以及相似的决定因素，将有助于了解儿童肥胖症的病因、儿童饮食和PA行为的决定因素以及相关的健康差异，为制定以人口为基础的干预措施提供有用的见解，以帮助实现2010年健康人国家目标。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，并使用地理编码将这些数据与来自其他数据来源的其他背景因素措施联系起来。前三个目标是我们的主要目标，其他目标是次要目标：目标1：检查孩子和父母在饮食摄入量上的相似性。我们将重点关注一系列饮食质量指标，包括食物类别的摄入量、能量和营养素，以及整体饮食质量得分。目的2：研究个体因素、家庭因素和环境因素在儿童-父母相似性摄入量上的差异。这将有助于我们加深对后者对相似性的影响的理解。将进行一系列分析，以解决几个问题。目的：探讨儿童BMI和体重状况(肥胖)的亲子相似性及多水平因素对相似性的影响。我们还将测试相似性是否随着时间的推移而改变，并将基于重复测量来测试BMI变化的相似性。目的：研究儿童与父母在PA和久坐行为上的相似性及其多层次因素的影响。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后的结果和未校正的结果。为了实现我们的目标，我们将使用一系列复杂的统计方法，如多元线性和Logistic回归分析、多水平模型和结构方程模型，特别是检查预测因素的影响。作为第一个基于国家数据和创新分析方法的此类研究，我们的发现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影响。

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.