Systems Science to Guide Whole-of-Community Childhood Obesity Interventions

系统科学指导全社区儿童肥胖干预措施

基本信息

批准号：
8503709
负责人：
MATTHEW W GILLMAN
金额：
$ 71.06万
依托单位：
HARVARD PILGRIM HEALTH CARE, INC.
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-01 至 2018-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8503709
关键词：
5 year old Address Adipocytes Age Australia Behavior Biological Models Brain Caregivers Cells Cereals Child Cities Communities Complex Data Development Discipline Eating Effectiveness Elements Environment Environmental Policy Etiology Exercise Future Goals Habits Individual Intervention Intervention Trial Life Literature Location Maps Modeling Obesity Organ Outcome Physiological Plastics Play Policies Population Prevention program Preventive Intervention Process Research Resistance Sampling School-Age Population Science Shapes Signal Transduction Sleep Source System Testing Time Weight Work base behavior change community intervention computerized data processing design early childhood flexibility implementation science improved insight intervention program novel obesity in children obesity prevention prevent programs public health relevance sedentary success successful intervention therapy design

5 year old Address Adipocytes Age Australia Behavior Biological Models Brain Caregivers Cells Cereals Child Cities Communities Complex Data Development Discipline Eating Effectiveness Elements Environment Environmental Policy Etiology Exercise Future Goals Habits Individual Intervention Intervention Trial Life Literature Location Maps Modeling Obesity Organ Outcome Physiological Plastics Play Policies Population Prevention program Preventive Intervention Process Research Resistance Sampling School-Age Population Science Shapes Signal Transduction Sleep Source System Testing Time Weight Work base behavior change community intervention computerized data processing design early childhood flexibility implementation science improved insight intervention program novel obesity in children obesity prevention prevent programs public health relevance sedentary success successful intervention therapy design

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项目摘要

DESCRIPTION (provided by applicant): Obesity resists simple treatments, especially in today's environment which promotes unhealthful eating, sedentary behaviors, and poor sleep habits. Early childhood is a developmentally plastic period during which the right environmental and developmental influences may entrain healthful weight trajectories for life. Preventing obesity in early childhood cannot be achieved by working in single disciplines, but rather warrants a broad systems perspective to frame the problem, identify critical leverage points of influence, and take effective action. Whole communities represent loci in which multiple sectors, levels, and key leverage points converge. The overall goal of this US-Australian collaborative project is to advance intervention science by addressing "what works, for whom and under what circumstances?" To achieve this goal, we will use a novel, iterative, approach that combines computational systems science modeling with empirical information from two completed and two new whole-of-community intervention programs. We will develop, test, and refine our computational agent-based model through repeated and bi-directional interaction with data from these interventions. Through these efforts we aim not only to design and refine our own obesity prevention efforts in young children, but also to create a flexible agent-based model with wide applicability to aid future efforts. Beginning with dynamic hypotheses from our preliminary systems mapping work and the literature, we will apply and test an initial model using already collected data from 2 completed interventions that successfully changed behavior and BMI: 1.) Shape Up Somerville (Mass.), a community-wide, multi-environmental and policy intervention among school-age children; and 2.) Romp & Chomp, a whole-of-community obesity prevention demonstration project for preschoolers in one city in the state of Victoria, Australia. Next, we will iteratively refine the model using fine grained data drawn from participatory group model building exercises in both Somerville and Australia, and process data from a new state-wide quasi-experimental trial of childhood obesity intervention trial in Victoria. We will then apply the improved model and insights generated from this first set of studies to design, plan and conduct a new pilot intervention, "Shape Up Under-5," a re- designed version of Shape Up Somerville targeting underserved children age 0-5 years and their primary caregivers. At the end of the proposed project, we will test and calibrate the final model with outcome data from the multi-year trial in Victoria and the Somerville pilot. To achieve these aims we have assembled a trans-disciplinary research team with extensive expertise in obesity prevention, computational systems modeling, community-based research, and implementation science. The impact of this project lies in the potential to inform new and sustainable strategies to reduce the burden of childhood obesity and its consequences in the US and abroad.

描述（由申请人提供）：肥胖症抵制简单的治疗方法，尤其是在当今促进不健康饮食，久坐行为和睡眠习惯的环境中。幼儿期是一个发育型的塑料时期，在此期间，正确的环境和发育影响可能会纳入生命的健康体重轨迹。不能通过在单一学科中工作来预防幼儿期的肥胖症，而是要保持广泛的系统观点来解决问题，确定关键的影响力点并采取有效的行动。整个社区代表了多个部门，级别和关键杠杆点融合的基因座。这个美国 - 澳大利亚合作项目的总体目标是通过解决“什么有效，在哪些情况下以及在什么情况下？”来推进干预科学。为了实现这一目标，我们将使用一种新颖的，迭代的方法，将计算系统科学建模与两个完整和两个新的全社区干预计划的经验信息相结合。我们将通过与这些干预措施的数据重复和双向相互作用来开发，测试和完善基于计算代理的模型。通过这些努力，我们不仅旨在在幼儿设计和完善自己的肥胖预防努力，还旨在创建一个基于灵活的代理模型，具有广泛的适用性来帮助未来的努力。从我们的初步系统映射工作和文献的动态假设开始，我们将使用已完成的两种已完成干预措施的已经收集的数据应用和测试一个初始模型，这些干预措施成功地改变了行为和BMI：1。）Shape up Somerville（Mass。）（Mass。和2.）Romp＆Chomp，这是澳大利亚维多利亚州一个城市的学龄前儿童的全社区预防示范项目。接下来，我们将使用来自萨默维尔和澳大利亚的参与性小组模型建设练习的细性数据进行迭代改进模型，并从维多利亚州的儿童肥胖症干预试验进行新的全州准实验性试验中处理数据。然后，我们将应用第一组中的改进模型和见解设计，计划和进行新的飞行员干预措施“ Shape Up-5”，这是一种重新设计的Shape up Somerville的版本，以0-5岁的儿童及其主要护理人员及其主要护理人员。在拟议项目的结尾，我们将通过维多利亚州和萨默维尔飞行员的多年试验的结果数据测试和校准最终模型。为了实现这些目标，我们组建了一个跨学科研究团队，在肥胖症预防，计算系统建模，基于社区的研究和实施科学方面具有广泛的专业知识。该项目的影响在于有可能为新的和可持续的战略提供信息，以减轻儿童肥胖的负担及其在美国和国外的后果。