Chaix, Basile; Duncan, Dustin; Vallee, Julie; Vernez-moudon, Anne; Benmarhnia, Tarik; Kestens, Yan. (2017). The Residential Effect Fallacy in Neighborhood and Health Studies Formal Definition, Empirical Identification, and Correction. Epidemiology, 28(6), 789 – 797.
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Abstract
Background: Because of confounding from the urban/rural and socioeconomic organizations of territories and resulting correlation between residential and nonresidential exposures, classically estimated residential neighborhood-outcome associations capture nonresidential environment effects, overestimating residential intervention effects. Our study diagnosed and corrected this residential effect fallacy bias applicable to a large fraction of neighborhood and health studies. Methods: Our empirical application investigated the effect that hypothetical interventions raising the residential number of services would have on the probability that a trip is walked. Using global positioning systems tracking and mobility surveys over 7 days (227 participants and 7440 trips), we employed a multilevel linear probability model to estimate the trip-level association between residential number of services and walking to derive a naive intervention effect estimate and a corrected model accounting for numbers of services at the residence, trip origin, and trip destination to determine a corrected intervention effect estimate (true effect conditional on assumptions). Results: There was a strong correlation in service densities between the residential neighborhood and nonresidential places. From the naive model, hypothetical interventions raising the residential number of services to 200, 500, and 1000 were associated with an increase by 0.020, 0.055, and 0.109 of the probability of walking in the intervention groups. Corrected estimates were of 0.007, 0.019, and 0.039. Thus, naive estimates were overestimated by multiplicative factors of 3.0, 2.9, and 2.8. Conclusions: Commonly estimated residential intervention-outcome associations substantially overestimate true effects. Our somewhat paradoxical conclusion is that to estimate residential effects, investigators critically need information on nonresidential places visited.
Keywords
Self-rated Health; Record Cohort; Physical-activity; Transportation Modes; Built Environment; Activity Spaces; Research Agenda; Risk-factors; Associations; Exposure
Drewnowski, Adam; Aggarwal, Anju; Rose, Chelsea M.; Gupta, Shilpi; Delaney, Joseph A.; Hurvitz, Philip M. (2019). Activity Space Metrics Not Associated with Sociodemographic Variables, Diet or Health Outcomes in the Seattle Obesity Study II. Spatial And Spatio-temporal Epidemiology, 30.
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Abstract
Background: Activity spaces (AS), captured using GPS tracking devices, are measures of dynamic exposure to the built environment (BE). Methods: Seven days of Global Positioning Systems (GPS) tracking data were obtained for 433 adult participants in the Seattle Obesity Study (SOS II). Heights and weights were measured. Dietary intakes from a food frequency questionnaire were used to calculate Healthy Eating Index (HEI 2010) scores. Linear regression analyses examined associations between AS measures: daily route length, convex hull, and radius of gyration, and diet quality and health outcomes, adjusting for covariates. Results: AS measures did not vary by age, gender, race/ethnicity, or socioeconomic status. AS measures were not associated with diet quality or with self-reported obesity or diabetes. One AS measure, route length (in miles), was associated with being employed, living in the suburbs, and with distance and time commuting to work. Conclusion: Spatial mobility studies based on GPS tracking of environmental exposure need to demonstrate a link to relevant health outcomes. (C) 2019 The Authors. Published by Elsevier Ltd.
Keywords
Local Food Environment; Physical-activity; Gps Data; Exposure; Patterns; Quality; Women; Index; Built Environment (be); Activity Space; Route Length; Hei 2010; Bmi
Rose, Chelsea M.; Gupta, Shilpi; Buszkiewicz, James; Ko, Linda K.; Mou, Jin; Cook, Andrea; Moudon, Anne Vernez; Aggarwal, Anju; Drewnowski, Adam. (2020). Small Increments in Diet Cost Can Improve Compliance with the Dietary Guidelines for Americans. Social Science & Medicine, 266.
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Abstract
Adherence to the Dietary Guidelines for Americans (DGA) may involve higher diet costs. This study assessed the relation between two measures of food spending and diet quality among adult participants (N = 768) in the Seattle Obesity Study (SOS III). All participants completed socio-demographic and food expenditure surveys and the Fred Hutch food frequency questionnaire. Dietary intakes were joined with local supermarket prices to estimate individual-level diet costs. Healthy Eating Index (HEI-2015) scores measured compliance with DGA. Multiple linear regressions using Generalized Estimating Equations with robust standard errors showed that lower food spending was associated with younger age, Hispanic ethnicity, and lower socioeconomic status. Even though higher HEI-2015 scores were associated with higher diet costs per 2000 kcal, much individual variability was observed. A positive curvilinear relationship was observed in adjusted models. At lower cost diets, a $100/ month increase in cost (from $150 to $250) was associated with a 20.6% increase in HEI-2015. For higher levels of diet cost (from $350 to $450) there were diminishing returns (2.8% increase in HEI2015). These findings indicate that increases in food spending at the lower end of the range have the most potential to improve diet quality.
Keywords
Healthy Eating Index; Income Inequality; Quality; Obesity; Adults; Expenditure; Disparities; Strategy; Outcomes; Scores; Food Expenditures; Diet Costs; Food Shopping; Diet Quality; Hei-2015; Ses
The Urban Form Lab (UFL) research aims to affect policy and to support approaches to the design and planning of more livable environments. The UFL specializes in geospatial analyses of the built environment using multiple micro-scale data in Geographic Information Systems (GIS). Current research includes the development of novel GIS routines for performing spatial inventories and analyses of the built environment, and of spatially explicit sampling techniques. Projects address such topics as land monitoring, neighborhood and street design, active transportation, non-motorized transportation safety, physical activity, and access to food environments.
Research at the UFL has been supported by the U.S. and Washington State Departments of Transportation, the Centers for Disease Control and Prevention, the Robert Wood Johnson Foundation, the National Institutes of Health, and local agencies.
The Urban Form Lab is directed by Anne Vernez Moudon, Dr es Sc, a leading researcher and educator in quantifying the properties of the built environment as related to health and transportation behaviors. Philip M. Hurvitz, PhD, a veteran of geographic information science and data processing, leads data management and GIS work.
The Urban@UW initiative brings together labs that study urban issues from across the University of Washington. Urban@UW works with scholars, policymakers, and community stakeholders in order to strengthen the connection between research and solutions to urban issues through cross-disciplinary and cross-sector collaborative research. Key functions of Urban@UW include amplifying public awareness of ongoing projects, connecting researchers with outside constituencies, providing staff and administrative support services, and providing pilot funding and fundraising assistance. Multiple BE labs are involved, including the Northwest…
The University of Washington Data Collaborative (UWDC) is now offering services to researchers across campus, including BE researchers Gregg Colburn at the Runstad Department of Real Estate and the Urban Form Lab. Housed at the Center for Studies in Demography & Ecology, UWDC provides infrastructure to access restricted data in a secure and sophisticated computing environment. Data sets available to researchers cover health records, polling data, business and consumer data, and real estate data. Researchers interested in accessing these data…
Phil Hurvitz is a research scientist with a primary appointment in the UW Center for Studies in Demography and Ecology, and is an Affiliate Associate Professor in Urban Design & Planning in the University of Washington College of Built Environments Urban Form Lab. He received his PhD in 2010, and has been on the faculty since 2012. He specializes in the objective measurement and analysis of the built environment using GIScience methodology. His current research investigates the relationship between health-related behaviors and built environment at fine spatial and temporal scales. Using new-generation devices that measure activity and location in real time, the data are being used to find associations between the types of activities people engage in and the types of environments people use as they go about their daily lives. He collaborates with researchers specializing in nutritional epidemiology, exercise physiology, rehabilitation medicine, and psychology for the purpose of understanding the relationships between built environment, diet, and physical activity. Phil received a Master of Forest Resources degree in 1994 at the UW College of Forest Resources where he helped develop and implement a GIS for the Makah Indian Nation. His Bachelor’s degree (1983) is from Seattle University in Humanities. Prior to his current appointment, he worked as a GIS specialist for the College of Forest Resources, the City of SeaTac, the Seattle Water Department, and an instructor at the University of Washington and Green River Community College.