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Complex systems approaches to identify policy levers to reduce racial/ethnic disparities in diet and obesity in cities

复杂系统方法确定减少城市饮食和肥胖方面种族/民族差异的政策杠杆

基本信息

批准号：
10618996
负责人：
Brent Alan Langellier
金额：
$ 56.23万
依托单位：
DREXEL UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-08-26 至 2025-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10618996
关键词：
Address Affect Asian Behavioral Beverages Black Populations Black race Body Weight Changes Budgets Buffers COVID-19 pandemic Calibration Categories Charge Cities Communities Complex Diet Dietary Fiber Disadvantaged Disparity Eating Economic Conditions Eligibility Determination Enrollment Environment Equipment and supply inventories Ethnic Origin Federal Government Food Food Access Food Assistance Programs Food Preferences General Population Grain Harvest Health Food Household Immigrant Income Individual Inequality Inequity Latino Latino Population Lead Legal Life Low income Maps Methods Minority Modeling Neighborhoods Nutritional Obesity Occupations Oils Participant Pattern Philadelphia Policies Policy Making Poverty Prevalence Price Proteins Psyche structure Race Reducing diet Reporting Research Series System Thinking Time Travel Unemployment United States Department of Agriculture Variant Vegetables Work cost data standards disparity reduction economic impact ethnic disparity ethnic minority farmers markets federal policy food insecurity high risk inequitable distribution model building models and simulation nutrition obesogenic outcome disparities programs racial disparity racial minority residential segregation scale up segregation simulation social social disparities urban area urban setting virtual

项目摘要

PROJECT SUMMARY Racial/ethnic disparities in diet and obesity are remarkably consistent across U.S. cities. First, we will use group model building to systematically engage academic, policy, and community stakeholders to build capacity for systems thinking, develop and refine a “map” of the multilevel factors that drive diet disparities, and identify policy levers to reduce diet disparities in cities. The need for this work is motivated by the lack of an existing conceptual framework that explicates mechanisms via which obesogenic environments and systematic structural disadvantage disproportionately affect minorities and lead to disparities. Previous research and existing conceptual frameworks have identified myriad influences on diet among the general population, but a more specific conceptual framework can advance understanding of social, environmental, and policy factors that work in combination to constrain healthy food choices of Blacks, Latinos, and other racial/ethnic minorities. Second, we will implement an agent-based simulation model (ABM) to examine how residential segregation, the inequitable distribution of food outlets, the lower price of unhealthy foods, and income inequality work in combination to constrain food choices of racial/ethnic minorities and lead to diet and obesity disparities. The ABM bridges lines of research conducted by our group and others that have used ABM to examine how food access and food prices separately affect diets. By integrating these separate modeling paradigms, we can examine how diet disparities emerge due to intersecting disadvantage in food access and affordability. In the ABM, individual-agents in a virtual city make a series of daily decisions about where to shop for food, what types of food to purchase, and what to eat. Each decision is based on simple rules that reflect influences on food purchasing and diet, including household food budgets; travel costs to food stores; between-store variation in price, inventory, and quality; and the prices of 12 nutritionally important food categories (e.g., protein, whole grains) and 6 beverage categories. We use gold standard data regarding household income and food spending, food prices and purchasing, and diet. We propose two uses for the ABM: First, we will assess the impact of job and income loss related to the COVID-19 pandemic and federal policies that restrict eligibility and enrollment of immigrants in food assistance programs – both of which have a disproportionate effect on minorities and thus are likely to exacerbate disparities. Second, we will engage policy stakeholders to inform dissemination and evaluate how scaling up existing pilot programs (e.g., healthy food delivery, multiplying the value of SNAP dollars spent at farmers’ markets, increasing healthy food access in minority neighborhoods) and implementing current policy proposals (e.g., USDA proposal to replace SNAP with “harvest boxes”) will exacerbate or reduce diet disparities. The ABM is grounded in the Philadelphia context, but the research questions and findings are highly relevant to diet disparities in essentially all U.S. cities.

项目总结

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

County- and state-level immigration policies are associated with Supplemental Nutrition Assistance Program (SNAP) participation among Latino households.

县级和州级移民政策与拉丁裔家庭参与补充营养援助计划 (SNAP) 相关。

DOI：
10.1016/j.socscimed.2023.116141
发表时间：
2023
期刊：
Social science & medicine (1982)
影响因子：
0
作者：
Chaparro,MPia;Auchincloss,AmyH;Argibay,Sofia;Ruggiero,DominicA;Purtle,Jonathan;Langellier,BrentA
通讯作者：
Langellier,BrentA

Use of qualitative systems mapping and causal loop diagrams to understand food environments, diet and obesity: a scoping review protocol.

DOI：
10.1136/bmjopen-2022-066875
发表时间：
2023-03-17
期刊：
BMJ open
影响因子：
2.9
作者：
通讯作者：

Methods and measures to evaluate the impact of participatory model building on public policymakers: a scoping review protocol.

DOI：
10.1136/bmjopen-2023-074891
发表时间：
2024-01-06
期刊：
BMJ OPEN
影响因子：
2.9
作者：
Henson, Rosie Mae;Purtle, Jonathan;Headen, Irene;Stankov, Ivana;Langellier, Brent A.
通讯作者：
Langellier, Brent A.