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

孩子之间的相似度

基本信息

批准号：
7771760
负责人：
YOUFA WANG
金额：
$ 8.12万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-02-20 至 2013-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7771760
关键词：
Address Adolescence Adult Affect Age American Behavior Behavioral Belief Betula Genus Body Weight Body mass index Calcium Censuses Centers for Disease Control and Prevention (U.S.)Characteristics Child Child Development Childhood Chronic Disease Collaborations Communities Data Data Analyses Data Set Data Sources Development Diet Diet Habits Diet Records Dietary intake Eating Economics Education Energy Intake Environment Environmental Risk Factor Equation Ethnic Origin Etiology Exercise Expenditure Family Fatty acid glycerol esters Fiber Food Funding Future Gatekeeping Gender Genetic Determinism Goals Habits Health Hour Household Income Individual Intake Interdisciplinary Study International Intervention Intervention Studies Investigation Knowledge Life Life Style Light Link Literature Logistic Regressions Measurement Measures Medical Meta-Analysis Minority Groups Modeling Nutrient Obesity Occupations Overweight Parenting behavior Parents Pathway interactions Pattern Perception Physical activity Play Population Population Group Prevalence Price Public Health Publications Records Regression Analysis Reporting Research Risk Role Sampling Self Perception Shapes Sodium Solid Source Surveys Television Testing Time United States Department of Agriculture Weight Weight maintenance regimen Work base behavior influence contextual factors critical period experience fast food fruits and vegetables health disparity indexing innovation insight multilevel analysis nutrition obesity in children obesity risk peer influence population based programs psychologic residence role model saturated fat sedentary social soft drink systematic review trend

项目摘要

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.

描述（由申请人提供）：这个为期 2 年的二次数据分析 R03 项目的总体目标是研究美国儿童及其父母的饮食、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。充分了解家族相似性和差异、相关的人群间差异以及基于全国代表性数据的相似性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，提供为制定基于人群的干预措施提供有用的见解，以帮助实现“2010 年健康人民”国家目标。在拟议的研究中，将使用在三项调查中收集的相关全国代表性数据（包括纵向数据），这些数据将与使用地理编码的其他数据源的其他背景因素测量相联系。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：检查儿童与父母在饮食摄入量方面的相似性。我们将重点关注一些膳食质量指标，包括食物类别、能量和营养素的摄入量以及总体膳食质量评分。目标 2：研究因个人、家庭和环境因素而导致的儿童与父母摄入相似性的差异。这将有助于增加我们对后者对相似性影响的理解。将进行一系列分析来解决几个问题。目标3：研究子女与父母在BMI和体重状况（肥胖）方面的相似性以及多层次因素对相似性的影响。我们还将测试相似性是否随时间变化，并将根据重复测量来测试 BMI 变化的相似性。目标 4：研究亲子 PA 和久坐行为的相似性以及多层次因素的影响。目标 5：评估测量误差对膳食摄入相似性发现的影响，例如通过比较校正后的测量误差（“校准”）与未校正的结果。将使用一组复杂的统计方法（例如多元线性和逻辑回归分析、多级模型和结构方程模型）来实现我们的目标，特别是检查预测变量的影响。作为第一项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重大空白，并对公共卫生产生许多重要影响。