Effects of the Built Environment, Crime & Food Prices on BMI, Activity & Eating
Effects of the Built Environment, Crime & Food Prices on BMI, Activity & Eating
批准号:
7996543
负责人:
NATALIE COLABIANCHI
金额:
$34.97万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-12-04 至 2011-07-15
关键词:
AccountingAdultAffectCensusesCharacteristicsCitiesConsumptionControl GroupsCrimeDataEatingEating BehaviorEducationEnergy MetabolismEnsureEnvironmentEnvironmental Risk FactorEpidemicEvaluationFamilyFoodFood PreferencesFrequenciesGoalsHealthHealth Care CostsHousingIndividualIntakeKnowledgeLifeLinkLow incomeMeasuresMediatingModerate ExerciseMutationNatural experimentNeighborhoodsObesityOutcomeOwnershipParticipantPersonsPhysical activityPolicy MakerPopulationPovertyPrevalencePricePublic HealthPublic HousingPublic PolicyRandomizedRandomized Controlled TrialsRecreationRelative (related person)ReportingResearchResearch DesignResearch PersonnelResourcesRoleSolutionsTimeWalkingbasecost effectivedensitydesignexperiencefast foodfollow-upfood consumptionfruits and vegetableshealth economicsinterestland useprogramsresponsestatisticsweight loss intervention
中文摘要
描述(由申请人提供):美国最大的公共卫生挑战之一是肥胖症的流行。支持环境和体力活动之间的关联,饮食行为,并在较小程度上,肥胖最近已被记录。虽然这些关联可能代表一种因果关系,但有几种可能的替代解释,以前的研究没有充分排除。例如,一个重视并喜欢步行的人更有可能搬到一个适合步行的社区;所以社区的影响可能与个人属性混淆。 移动到机会公平住房示范(MTO)提供了一个很好的设置,以检查邻里特征对肥胖,体育活动和水果/蔬菜摄入量的作用。MTO的目标是确定那些搬到“更好”的社区的人是否会在教育、经济和健康等各种结果方面得到改善。为了确保在相似的人之间进行比较,家庭被随机分配到三个组中的一个:实验组(他们被要求搬到人口普查区,那里的贫困人口不到10%),第8节组和控制组。MTO数据的主要优势是参与者被随机分配到治疗组和对照组,这可能会消除这些组之间的任何基线差异。 由于许多减肥干预措施失败,MTO研究的一个重要发现是,与对照组相比,实验组的成年参与者(N=3526)在随机化后4至7年的BMI显著降低。此外,与对照组相比,实验组的水果和蔬菜消费频率更高,第8节实验组的体力活动频率更高。因此,我们的研究目的是检查是否在这些结果中看到跨研究组的差异是由参与者的环境属性介导的。换句话说,我们将研究实验组中的人是否更有可能暴露在支持性环境中,以及环境特征的差异是否解释了治疗(即,随机化)效应。这项研究将链接MTO中期评估数据与参与者的社区环境特征。MTO中期评估包括关于健康结果的信息,包括BMI、身体活动水平和水果和蔬菜的消费沿着人口统计信息。将收集并与中期评价相联系的环境特征包括:粮食供应、粮食价格、商业和公共体育活动资源、城市赞助的娱乐中心、街道连通性、土地使用、居住密度、犯罪统计和人口普查数据。
英文摘要
DESCRIPTION (provided by applicant): One of the greatest public health challenges in the US is the epidemic of obesity. Support for an association between the environment and physical activity, eating behavior and, to a lesser extent, obesity has been recently documented. While these associations may represent a causal relationship, there are several possible alternative explanations that previous research has not adequately ruled out. For example, a person that values and enjoys walking is more likely to move to a walkable neighborhood; so the effect of neighborhood is likely confounded with individual attributes. The Moving to Opportunity for Fair Housing Demonstration (MTO) provides an excellent setting to examine the role of neighborhood characteristics on obesity, physical activity and fruit/vegetable intake. The goal of MTO was to determine whether persons who moved to "better" neighborhoods would experience improvements in a variety of outcomes such as education, economic and health compared to similar persons who did not move. To ensure that comparisons were made between similar persons, families were randomly assigned to one of three groups: the experimental group (who were required to move to census tracts where less than 10% of persons lived in poverty), the Section 8 group and the control group. The key advantage of the MTO data is participants were randomized to treatment and control groups, which would likely eliminate any baseline differences among these groups. Since many weight loss interventions fail, an important finding of the MTO study was that adult participants (N=3526) in the experimental group had a significantly lower BMI 4 to 7 years after randomization compared to controls. Additionally, those in the experimental group had a higher frequency of fruit and vegetable consumption and those in the Section 8 experimental group had a greater frequency of physical activity relative to controls. Thus the purpose of our research is to examine whether the differences in these outcomes seen across study groups were mediated by attributes of the participant's environment. In other words, we will examine whether those in the experimental groups were more likely to be exposed to supportive environments, and whether differences in environmental characteristics explain the treatment (i.e., randomization) effect. This study will link MTO Interim Evaluation data with environmental characteristics of participant's neighborhoods. The MTO Interim Evaluation included information on health outcomes including BMI, physical activity levels and consumption of fruit and vegetables along with demographic information. Environmental characteristics that will be collected and linked with the Interim Evaluation include: food availability, food prices, commercially and publicly available physical activity resources, city-sponsored recreation centers, connectivity of streets, land use, residential density, crime statistics and census data.
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