Tang, W.; Aggarwal, A.; Liu, Z.; Acheson, M.; Rehm, C. D.; Moudon, A. V.; Drewnowski, A. (2016). Validating Self-Reported Food Expenditures against Food Store and Eating-Out Receipts. European Journal Of Clinical Nutrition, 70(3), 352 – 357.
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Abstract
BACKGROUND/OBJECTIVES: To compare objective food store and eating-out receipts with self-reported household food expenditures. SUBJECTS/METHODS: The Seattle Obesity Study II was based on a representative sample of King County adults, Washington, USA. Self-reported household food expenditures were modeled on the Flexible Consumer Behavior Survey (FCBS) Module from 2007 to 2009 National Health and Nutrition Examination Survey (NHANES). Objective food expenditure data were collected using receipts. Self-reported food expenditures for 447 participants were compared with receipts using paired t-tests, Bland-Altman plots and.-statistics. Bias by sociodemographics was also examined. RESULTS: Self-reported expenditures closely matched with objective receipt data. Paired t-tests showed no significant differences between receipts and self-reported data on total food expenditures, expenditures at food stores or eating out. However, the highest-income strata showed weaker agreement. Bland-Altman plots confirmed no significant bias across both methods-mean difference: 6.4; agreement limits: -123.5 to 143.4 for total food expenditures, mean difference 5.7 for food stores and mean difference 1.7 for eating out. The kappa-statistics showed good agreement for each (kappa 0.51, 0.41 and 0.49 respectively. Households with higher education and income had significantly more number of receipts and higher food expenditures. CONCLUSIONS: Self-reported food expenditures using NHANES questions, both for food stores and eating out, serve as a decent proxy for objective household food expenditures from receipts. This method should be used with caution among high-income populations, or with high food expenditures. This is the first validation of the FCBS food expenditures question using food store and eating-out receipts.
Keywords
Household Food; Supermarket; Obesity; Energy; Purchases; Patterns; Women; Fat
Drewnowski, A.; Arterburn, D.; Zane, J.; Aggarwal, A.; Gupta, S.; Hurvitz, P. M.; Moudon, A., V; Bobb, J.; Cook, A.; Lozano, P.; Rosenberg, D. (2019). The Moving to Health (M2H) Approach to Natural Experiment Research: A Paradigm Shift for Studies on Built Environment and Health. Ssm-population Health, 7.
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Abstract
Improving the built environment (BE) is viewed as one strategy to improve community diets and health. The present goal is to review the literature on the effects of BE on health, highlight its limitations, and explore the growing use of natural experiments in BE research, such as the advent of new supermarkets, revitalized parks, or new transportation systems. Based on recent studies on movers, a paradigm shift in built-environment health research may be imminent. Following the classic Moving to Opportunity study in the US, the present Moving to Health (M2H) strategy takes advantage of the fact that changing residential location can entail overnight changes in multiple BE variables. The necessary conditions for applying the M2H strategy to Geographic Information Systems (GIS) databases and to large longitudinal cohorts are outlined below. Also outlined are significant limitations of this approach, including the use of electronic medical records in lieu of survey data. The key research question is whether documented changes in BE exposure can be linked to changes in health outcomes in a causal manner. The use of geo-localized clinical information from regional health care systems should permit new insights into the social and environmental determinants of health.
Keywords
Body-mass Index; Neighborhood Food Environment; Residential Property-values; Cardiometabolic Risk-factors; New-york-city; Physical-activity; Obesity Rates; King County; Weight-gain; Land-use; Built Environment (be); Geographic Information Systems (gis); Electronic Medical Records; Natural Experiments; Obesity; Diabetes; Residential Mobility
Rhew, Isaac C.; Duckworth, Jennifer C.; Hurvitz, Philip M.; Lee, Christine M. (2020). Within- and Between-Person Associations of Neighborhood Poverty with Alcohol Use and Consequences: A Monthly Study of Young Adults. Drug & Alcohol Dependence, 212.
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Abstract
Background: Studies have shown associations between neighborhood disadvantage and alcohol misuse among adults. Less is known about the role of neighborhood context in young adults (YAs), who engage in more disordered forms of alcohol use compared to other age groups. Using data collected monthly, this study examined whether YAs reported more alcohol use and consequences when they were living in neighborhoods with greater concentration of poverty. Method: This study used data from 746 participants aged 18-23 years living in the Seattle, WA, region. Surveys were administered each month for 24 consecutive months. Measures included typical number of drinks per week and past month count of alcohol-related consequences. Residential addresses at each month were geocoded and linked to census-tract level percentage of households living at or below poverty threshold. Multilevel over-dispersed Poisson models were used to estimate associations between standardized monthly deviations in tract-level poverty from one's average and alcohol outcomes. Results: Across 14,247 monthly observations, the mean number of typical drinks per week was 4.8 (SD = 7.4) and the mean number of alcohol consequences was 2.1 (SD = 3.5). On months when they were living in neighborhoods with higher levels of poverty than their average, participants reported significantly higher levels of alcohol consequences (Count Ratio = 1.05; p = .045). Conclusion: YAs may engage in more problematic forms of drinking when they reside in neighborhoods with higher levels of disadvantage. During a time of frequent residential changes, YAs moving to more disadvantaged neighborhoods may benefit from additional supports.
Keywords
Alcohol Drinking; Young Adults; Neighborhoods; Age Groups; Poverty; Western Australia; Seattle (wash.); Alcohol; Neighborhood Context; Young Adulthood; Emergency-department Visits; Heavy Episodic Drinking; College-students; United-states; Substance Use; Use Disorders; Models; Health; Disorganization; Availability
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.