SES and race-ethnic disparities in food purchasing and dietary intake:2000-2015
SES and race-ethnic disparities in food purchasing and dietary intake:2000-2015
批准号:
8466398
负责人:
Barry M Popkin
金额:
$35.8万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2018-07-31
关键词:
AccountingAdultAffectAgeAmericasBehaviorBeveragesCaloriesCategoriesChildCodeCommunitiesComplexConsumptionDataData SourcesDatabasesDemographic FactorsDietDietary intakeEatingEconomic FactorsEconomicsEmploymentEnergy IntakeFoodFood PackagingFoundationsFundingGoalsGrantGroupingHispanicsHome environmentHouseholdIncomeIndividualIntakeInterviewKnowledgeLabelLinear ProgrammingLinkLocationLow incomeMacronutrients NutritionMapsMarketingMeasuresMethodsMinorityNational Health and Nutrition Examination SurveyNot Hispanic or LatinoNutrientNutritionalOutcomePatternPopulationPriceProduct LabelingRaceReportingResearchSample SizeSamplingSodiumSourceSubgroupSystemTimeUnited StatesUnited States Department of AgricultureUpdateVendorWood materialWorkbasefood surveillancehealth inequalitiesnutritionprogramspublic health relevanceresponsesaturated fatsocialsugarsweetened beveragetrend
中文摘要
描述(由申请人提供):社会经济地位和食物购买和饮食摄入的种族-民族差异:2000-2015年我们的主要目标是对关键种族/民族和社会经济地位亚群之间的食品购买变化进行深入的描述性和纵向分析,以研究大衰退的影响(2007年开始),以及其他短期和长期食品购买和饮食结果的SES因素。此外,我们将寻求了解决定我们的关键亚群如何选择他们购买的消费品行业(CPG)食品和饮料的因素,以及这如何影响他们的营养摄入量。食物购买和饮食结果包括营养质量(热量、钠、饱和脂肪和添加糖)和模式(重点是被认为含有大部分空热量的选定食物亚组和离家摄入)。使用从罗伯特·伍德约翰逊基金会(RWJF)单独资助下购买的数据,可持续食品研究计划(UNCFRP)创建了2000-2012年尼尔森家庭扫描家庭购买数据的纵向文件,我们建议将这项工作扩展到以后的年份,并在此资助下进行额外的分析。我们研究了一些关键的问题有关的饮食的关键少数民族(西班牙裔,非西班牙裔黑人,非西班牙裔白人)和低收入亚群。我们将使用每个季度35,000至60,000个家庭的全国代表性样本的CPG食品和饮料购买纵向商业数据,并在条形码水平上与营养事实面板数据相关联。通过独特的人行横道,我们将这些商业数据与美国国家健康与营养调查(NHANES)和美国农业部营养数据库中公开的“我们在美国吃什么”(WWEIA)饮食摄入量访谈部分联系起来。我们会采用既定的线性规划方法,估计所有商业制成品的加糖含量(单在2000-10年度就有706,451种)。我们使用纵向的方法,校正内消在选择各种类型的商店(便利店,杂货店,大型购物中心/超市,仓库/俱乐部商店),占品牌与自有品牌产品的市场份额的动态,并检查其他相关的问题,种族,民族,年龄和收入亚群之间的食品购买和饮食的动态。
英文摘要
DESCRIPTION (provided by applicant): SES and race-ethnic disparities of food purchasing and dietary intake: 2000-2015 Our primary goals are to use in-depth descriptive and longitudinal analyses of shift in food purchases among critical race/ethnic and SES subpopulations to examine the impact of the Great Recession (beginning in 2007), and other SES factors on short-term and long-term food purchase and dietary outcomes. In addition, we will seek to understand factors determining how our key subpopulations select the consumer packaged goods sector (CPGs) foods and beverages they purchase and how this affects their nutrient intake. Food purchase and dietary outcomes include nutritional quality (calories, sodium, saturated fat and added sugars), and patterns (focusing on selected subgroups of foods considered to contain large proportions of empty calories, and away-from-home intakes). Using data purchased under separate funding from the Robert Wood Johnson Foundation (RWJF), the UNC Food Research Program (UNCFRP) has created a longitudinal file of Nielsen Homescan household purchase data from 2000-2012, and we propose to expand this work to later years and additional analyses under this grant. We examine a number of key issues related to the diets of key minority (Hispanics, non-Hispanic Blacks, and non-Hispanic Whites) and lower income subpopulations. We will use longitudinal commercial data on CPG food and beverage purchases by a nationally representative sample of 35,000 to 60,000 households in each quarter linked with nutrition facts panel data at the barcode level. With a unique crosswalk, we link these commercial data to the publicly available What We Eat in America (WWEIA) dietary intake interview component of the National Health and Nutrition Examination Surveys (NHANES) and the US Department of Agriculture nutrient databases. We will implement established linear programming methods to estimate added sugar content of all commercial CPG products (706,451 items in 2000-10 alone). We use longitudinal methods, correct for endogeneity in selection of various types of stores (convenience, grocery, mass merchandisers/supercenters, and warehouse/club stores), account for dynamics in market shares of branded vs. private label products, and examine other issues relevant to dynamics of food purchase and diet among race-ethnic, age and income subpopulations.
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