Family, Neighborhoods, and Intergenerational Transmission of Type II Diabetes Risk

II 型糖尿病风险的家庭、社区和代际传播

• 批准号: 9974224
• 负责人: Lori Kowaleski-Jones
• 金额: $ 34.31万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9974224
• 关键词: Address; Adult; Adult Children; Affect; Age; Area; Characteristics; County; Data; Databases; Demography; Diabetes Mellitus; Diabetes prevention; Economics; Elements; Environment; Environmental Risk Factor; Ethnic Origin; Exposure to; Family; Family Characteristics; Family health status; Family history of; First Degree Relative; Food; Food Access; Genealogy; Goals; Health; Health Care Costs; Health Food; Healthcare; Healthy People 2020; Heritability; Hispanics; Human; Individual; Joints; Knowledge; Life Cycle Stages; Link; Literature; Maps; Measures; Medical; Medical Records; Methods; Modification; Neighborhoods; Non-Insulin-Dependent Diabetes Mellitus; Not Hispanic or Latino; Outcome; Parents; Persons; Policies; Policy Maker; Population; Population Database; Prevalence; Prevention; Psychology; Public Health; Quality of life; Race; Recommendation; Recording of previous events; Records; Relative Risks; Research; Research Design; Research Personnel; Risk; Risk Estimate; Risk Factors; Role; Sociology; Standardization; Testing; Time; Training; Utah; Variant; active lifestyle; base; built environment; burden of illness; cohort; cost; cost estimate; diabetes risk; food environment; healthy lifestyle; healthy weight; innovation; intergenerational; longitudinal database; migration; multidisciplinary; obesity risk; offspring; prevent; sex; social; sociodemographics; transmission process; walkability

PROJECT SUMMARY / ABSTRACT We draw on the life course framework to validate hypotheses regarding the role of the neighborhood environment in the transmission of Type 2 Diabetes (T2DM) risk from parents to offspring. The research will transform our understanding of how neighborhood features, and the interplay between neighborhood and family characteristics, affect T2DM risk over the life course. The intergenerational transmission of T2DM to offspring has long been demonstrated. Our past research has shown that greater neighborhood walkability is associated with lower risk of obesity, and it suggests that the activity environment may have an important impact on moderating or exacerbating T2DM risk as well. For this study, we expand the scope of neighborhood features to include food environments. We propose to estimate the risk of T2DM as a function of both familialT2DM histories and neighborhood environments. We draw on comprehensive, longitudinal records in theUtah Population Database, which contain individual-level data on medical, residential, and familial variables spanning decades for an entire population. These intergenerational data will be integrated with measures of neighborhood characteristics across time to construct longitudinal family health and neighborhood histories, which we will use, following a life course approach, to characterize T2DM risk. Using innovative methods, we capitalize on small-area measures of the built environment to consider the roles of familial and neighborhood factors that may independently and interactively influence T2DM risk. The proposed analyses will address the following questions:  How can longitudinal, geo-referenced databases and maps depict dynamic spatial characteristics of critical sociodemographic and physical neighborhood-level risk factors for T2DM?  What are the ways in which neighborhood component trajectories modify how familial histories of T2DM are associated with the risk of T2DM among offspring?  What are the potential quality-of-life improvements and economic benefits associated with altering modifiable neighborhood features linked to T2DM risk? This study will make several innovative contributions to the diabetes literature. First, to account for the long latency period for the onset of T2DM, we will use decades of data to operationalize neighborhood risk in terms of walkability and food environments (under consideration of neighborhood changes over time and migration between neighborhoods). Second, we will utilize existing genealogical records and objective family health histories, a feature not found in prior T2DM studies, to assemble a cohort of parents and offspring in four urban Utah counties, differentiating between Hispanic and non-Hispanic white populations. Third, the combination of intergenerational and neighborhood data allows for a multi- level study of T2DM risk to inform prevention policies. Fourth, we estimate the costs of diabetes attributable to neighborhood conditions subject to policy changes.

项目概要/摘要 我们利用生命历程框架来验证有关邻里角色的假设 2 型糖尿病 (T2DM) 风险从父母传播给后代的环境。 研究将改变我们对邻里特征以及邻里之间相互作用的理解 邻里和家庭特征会影响整个生命过程中的 T2DM 风险。 我们过去的研究早已证明 T2DM 会遗传给后代。 邻近地区步行适宜性越高，肥胖风险越低，这表明 活动环境也可能对减轻或加剧 T2DM 风险产生重要影响。 在本研究中，我们扩大了社区特征的范围，将食物环境包括在内。 建议根据家族 T2DM 病史和邻里关系来估计 T2DM 风险 我们利用犹他州人口数据库中全面的纵向记录， 其中包含跨越数十年的医疗、居住和家庭变量的个人层面数据 这些代际数据将与邻里测量相结合。 跨时间的特征来构建纵向家庭健康和邻里历史， 我们将采用生命全程方法来描述 T2DM 风险。 利用建筑环境的小面积措施来考虑家庭和社区的作用 可能独立和交互影响 T2DM 风险的邻里因素。 分析将解决以下问题： 纵向地理参考数据库和地图如何描绘动态空间 关键社会人口和物理邻里层面风险因素的特征 对于 T2DM？  邻里成分轨迹如何改变家庭关系 T2DM 病史与后代患 T2DM 的风险相关吗？  潜在的生活质量改善和经济效益是什么 与改变与 T2DM 风险相关的可修改的邻里特征有关吗？ 这项研究将对糖尿病文献做出几项创新贡献。 T2DM 出现的潜伏期很长，我们将使用数十年的数据来操作邻里 步行便利性和食物环境方面的风险（考虑到邻里关系的变化） 时间和社区之间的迁移）其次，我们将利用现有的遗传记录和 客观的家庭健康史，这是之前的 T2DM 研究中未发现的一个特征，以收集一组 犹他州四个城市县的父母和后代，区分西班牙裔和非西班牙裔 第三，代际数据和邻里数据的结合可以实现多因素分析。 第四，我们估算糖尿病的成本。 受政策变化影响的邻里条件。