Food environment, diet quality and disparities in obesity

食物环境、饮食质量和肥胖差异

基本信息

批准号：
9756362
负责人：
ADAM DREWNOWSKI
金额：
$ 51.92万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-01-01 至 2021-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9756362
关键词：
3-Dimensional Accelerometer Address Adult Affect Alcohols Area Attention Behavior Body Weight Body Weight Changes Body Weight decreased Communities County Data Destinations Development Devices Diet Dimensions Economics Education Employment Energy Intake Environment Environmental Exposure Environmental Risk Factor Epidemiology Ethnic Origin Ethology Event Exposure to Family Practice Food Frequencies Geography Goals Health Health Policy Health Promotion Health behavior Income Individual Intervention Link Location Longitudinal Studies Longitudinal Surveys Longitudinal cohort Measures Methodology Methods Modeling Monitor Nature Neighborhoods Obesity Observational Study Participant Patient Self-Report Pattern Persons Physical activity Population Population Density Predictive Factor Prevalence Price Progress Reports Property Psychosocial Factor Public Health Questionnaires Race Research Resources Rest Role Sampling Scanning Scheme Site Socioeconomic Status Source Supermarket Surveys Telephone Time Travel Update Visit Weight Weight Gain Weights and Measures base built environment cohort cost design energy balance environmental change environmental stressor follow-up food environment healthy weight innovation insight nutrition obesity development outcome prediction person centered policy implication psychosocial public health relevance recruit social socioeconomics statistics tool urban planning

项目摘要

DESCRIPTION (provided by applicant): The role of neighborhoods in the development of obesity has received much research attention. Being able to identify those social and environmental variables that predict healthier weights can assist health promotion at community-level. This competing renewal of the Seattle Obesity Study (SOS) seeks to explain why obesity prevalence was closely linked to individual- and area-based socioeconomic status (SES), whereas 12 mo. weight change was not. The SOS III will recruit a longitudinal cohort of 1,000 adult residents of King, Snohomish, Pierce, and Yakima counties in WA State. The 4 counties are diverse in race/ethnicity, education, incomes, population density, patterns of development, and obesity rates. An address-based sampling scheme, stratified by SES, will yield a population sample that is >40% obese, while assuring geographic diversity. A 20-min Health Behaviors Survey will be administered by phone by Battelle Survey Research Center. Measured heights and weights will be obtained in-person at local sites at baseline, 12, and 24 mo. Participants will complete food frequency questionnaires (FFQs) at baseline, 12, and 24 mo. Prevailing supermarket prices for 384 FFQ foods in each county will be used to estimate individual diet costs at 3 points in time. GIS/GPS methods will track 3- day travel patterns and the time and location of all food events at baseline, 12, and 24 mo. Accelerometers worn over 3-days will track physical activity at baseline, 12, and 24 mo. Two follow-up Health Behaviors Surveys will be administered at 12 and 24 mo in-person visits. An environmental scan of the food environment using Info USA will be performed at baseline, 12mo and 24 mo. The SOS is one of few observational studies that combine longitudinal survey research with geo-localized metrics of environmental exposure, GPS tracking, accelerometers, and nutrition economics. SOS III will explore the impact of these variables on body weight trajectories over 24 mo. The first aim is to determine whether baseline SES and environmental variables predict subsequent changes in energy intakes, diet quality and cost, physical activity, and body weight. The second aim is to determine whether changes in social and environmental variables and in diet and physical activity behaviors can predict body weight trajectories over 24 mo. The third aim is to develop a new model explaining how changing exposure to socio-economic, environmental, dietary, and psychosocial variables can predict the dynamics of weight change. The SOS III will update and refine our metrics of the built environment and examine the relative impact of SES and the built environment on weight trajectories, using a mixed model framework.

描述（由适用提供）：社区在肥胖发展中的作用引起了很多研究的关注。能够识别那些预测体重更健康的社会和环境变量可以帮助社区级别的健康促进。西雅图肥胖研究（SOS）的这种竞争性更新旨在解释为什么肥胖症患病率与基于个人和地区的社会经济地位（SES）密切相关，而12个月。体重变化不是。 SOS III将在西澳大利亚州招募1,000名King，Snohomish，Pierce和Yakima县的成年居民组成的纵向队列。这4个县是种族/种族，教育，收入，人口密度，发展模式和肥胖率的潜水员。由SES分层的基于地址的抽样方案将产生肥胖> 40％的人口样本，同时确保地理多样性。 Battelle调查研究中心将通过电话进行20分钟的健康行为调查。测得的高度和重量将在基线，12和24 mo的本地站点面对面。参与者将在基线，12和24 mo上填写食物频率问卷（FFQ）。每个县的384个FFQ食品的主要超市价格将用于估计3个时间点的个人饮食成本。 GIS/GPS方法将跟踪3天旅行模式以及基线，12和24 mo的所有食物事件的时间和位置。在3天上佩戴的加速度计将跟踪基线，12和24 mo的体育活动。两次随访的健康行为调查将在12和24 mo亲自访问时进行。使用INFO的食物环境的环境扫描将在基线，12MO和24 mo进行。 SOS是将纵向调查研究与环境暴露，GPS跟踪，加速度计和营养经济学的地理定位指标相结合的少数观察性研究之一。 SOS III将探索这些变量对超过24 mo体重轨迹的影响。第一个目的是确定基线SES和环境变量是否可以预测能源摄入，饮食质量和成本，体育锻炼和体重的随后变化。第二个目的是确定社会和环境变量的变化以及饮食和体育锻炼行为的变化是否可以预测超过24 mo的体重轨迹。第三个目的是开发一个新的模型，以解释改变社会经济，环境，饮食和社会心理变量如何预测体重变化的动态。 SOS III将更新和完善我们对建筑环境的指标，并检查SES和构建的相对影响。使用混合模型框架，重量轨迹的环境。

项目成果

期刊论文数量（51）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Self-reported and measured weights and heights among adults in Seattle and King County.

DOI：
10.1186/s40608-016-0088-2
发表时间：
2016
期刊：
BMC obesity
影响因子：
0
作者：
Tang W;Aggarwal A;Moudon AV;Drewnowski A
通讯作者：
Drewnowski A

Seattle's minimum wage ordinance did not affect supermarket food prices by food processing category.

西雅图的最低工资条例并没有影响超市食品加工类别的食品价格。

DOI：
10.1017/s1368980017004037
发表时间：
2018
期刊：
Public health nutrition
影响因子：
3.2
作者：
Spoden,AmandaL;Buszkiewicz,JamesH;Drewnowski,Adam;Long,MarkC;Otten,JenniferJ
通讯作者：
Otten,JenniferJ

An Overlap Between "Ultraprocessed" Foods and the Preexisting Nutrient Rich Foods Index?