Anne Vernez Moudon Archives - Page 9 of 9

Characterizing the Food Environment: Pitfalls and Future Directions

Moudon, Anne Vernez; Drewnowski, Adam; Duncan, Glen E.; Hurvitz, Philip M.; Saelens, Brian E.; Scharnhorst, Eric. (2013). Characterizing the Food Environment: Pitfalls and Future Directions. Public Health Nutrition, 16(7), 1238 – 1243.

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Abstract

Objective: To assess a county population's exposure to different types of food sources reported to affect both diet quality and obesity rates. Design: Food permit records obtained from the local health department served to establish the full census of food stores and restaurants. Employing prior categorization schemes which classified the relative healthfulness of food sources based on establishment type (i.e. supermarkets v. convenience stores, or full-service v. fast-food restaurants), food establishments were assigned to the healthy, unhealthy or undetermined groups. Setting: King County, WA, USA. Subjects: Full census of food sources. Results: According to all categorization schemes, most food establishments in King County fell into the unhealthy and undetermined groups. Use of the food permit data showed that large stores, which included supermarkets as healthy food establishments, contained a sizeable number of bakery/delis, fish/meat, ethnic and standard quick-service restaurants and coffee shops, all food sources that, when housed in a separate venue or owned by a different business establishment, were classified as either unhealthy or of undetermined value to health. Conclusions: To fully assess the potential health effects of exposure to the extant food environment, future research would need to establish the health value of foods in many such common establishments as individually owned grocery stores and ethnic food stores and restaurants. Within-venue exposure to foods should also be investigated.

Keywords

Food Chemistry; Obesity; Health Boards; Dietary Supplements; Food Cooperatives; Restaurant Reviews; Coffee Shops; Food Consumption; Food Quality; Census Of Food Sources; Exposure; Health Value; Neighborhood Characteristics; Store Availability; Racial Composition; Physical-activity; Weight Status; Restaurants; Association; Proximity; Access; Business Enterprises; Fast Food Restaurants; Fish; Grocery Stores; Healthy Diet; Meat; Nutritional Adequacy; Supermarkets

The Spatial Clustering of Obesity: Does the Built Environment Matter?

Huang, R.; Moudon, A. V.; Cook, A. J.; Drewnowski, A. (2015). The Spatial Clustering of Obesity: Does the Built Environment Matter? Journal Of Human Nutrition & Dietetics, 28(6), 604 – 612.

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Abstract

BackgroundObesity rates in the USA show distinct geographical patterns. The present study used spatial cluster detection methods and individual-level data to locate obesity clusters and to analyse them in relation to the neighbourhood built environment. MethodsThe 2008-2009 Seattle Obesity Study provided data on the self-reported height, weight, and sociodemographic characteristics of 1602 King County adults. Home addresses were geocoded. Clusters of high or low body mass index were identified using Anselin's Local Moran's I and a spatial scan statistic with regression models that searched for unmeasured neighbourhood-level factors from residuals, adjusting for measured individual-level covariates. Spatially continuous values of objectively measured features of the local neighbourhood built environment (SmartMaps) were constructed for seven variables obtained from tax rolls and commercial databases. ResultsBoth the Local Moran's I and a spatial scan statistic identified similar spatial concentrations of obesity. High and low obesity clusters were attenuated after adjusting for age, gender, race, education and income, and they disappeared once neighbourhood residential property values and residential density were included in the model. ConclusionsUsing individual-level data to detect obesity clusters with two cluster detection methods, the present study showed that the spatial concentration of obesity was wholly explained by neighbourhood composition and socioeconomic characteristics. These characteristics may serve to more precisely locate obesity prevention and intervention programmes.

Keywords

Real Property; Ecology; Age Distribution; Anthropometry; Black People; Cluster Analysis (statistics); Communities; Computer Software; Epidemiological Research; Geographic Information Systems; Hispanic Americans; Mathematics; Obesity; Population Geography; Probability Theory; Race; Regression Analysis; Research Funding; Restaurants; Statistical Sampling; Self-evaluation; Sex Distribution; Shopping; Surveys; Telephones; Transportation; White People; Socioeconomic Factors; Body Mass Index; Data Analysis Software; Medical Coding; Statistical Models; Descriptive Statistics; Odds Ratio; Economics; Washington (state); Built Environment; Local Moran's I; Spatial Scan Statistic; Body-mass Index; Physical-activity; United-states; Risk-factors; Neighborhood; Association; Density; Disease; Disparities; Prevalence

The Relationship between Objectively Measured Walking and Risk of Pedestrian–Motor Vehicle Collision

Quistberg, D. Alex; Howard, Eric J.; Hurvitz, Philip M.; Moudon, Anne V.; Ebel, Beth E.; Rivara, Frederick P.; Saelens, Brian E. (2017). The Relationship between Objectively Measured Walking and Risk of Pedestrian–Motor Vehicle Collision. American Journal Of Epidemiology, 185(9), 810 – 821.

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Abstract

Safe urban walking environments may improve health by encouraging physical activity, but the relationship between an individual's location and walking pattern and the risk of pedestrian-motor vehicle collision is unknown. We examined associations between individuals' walking bouts and walking risk, measured as mean exposure to the risk of pedestrian-vehicle collision. Walking bouts were ascertained through integrated accelerometry and global positioning system data and from individual travel-diary data obtained from adults in the Travel Assessment and Community Study (King County, Washington) in 2008-2009. Walking patterns were superimposed onto maps of the historical probabilities of pedestrian-vehicle collisions for intersections and midblock segments within Seattle, Washington. Mean risk of pedestrian-vehicle collision in specific walking locations was assessed according to walking exposure (duration, distance, and intensity) and participant demographic characteristics in linear mixed models. Participants typically walked in areas with low pedestrian collision risk when walking for recreation, walking at a faster pace, or taking longer-duration walks. Mean daily walking duration and distance were not associated with collision risk. Males walked in areas with higher collision risk compared with females, while vehicle owners, residents of single-family homes, and parents of young children walked in areas with lower collision risk. These findings may suggest that pedestrians moderate collision risk by using lower-risk routes.

Keywords

Traffic Accidents; Confidence Intervals; Geographic Information Systems; Health Promotion; Maps; Research Funding; Walking; Accelerometry; Physical Activity; Data Analysis Software; Diary (literary Form); Descriptive Statistics; Risk Factors; Washington (state); Accidents; Environment Design; Global Positioning Systems; Pedestrians; Risk Assessment; Traffic; Physical-activity; Built Environment; Traffic Safety; Accident Risk; Injury Rates; Route-choice; Exposure; Gps; Travel; Accidents, Traffic

A Time-Based Objective Measure of Exposure to the Food Environment

Scully, Jason Y.; Moudon, Anne Vernez; Hurvitz, Philip M.; Aggarwal, Anju; Drewnowski, Adam. (2019). A Time-Based Objective Measure of Exposure to the Food Environment. International Journal Of Environmental Research And Public Health, 16(7).

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Abstract

Exposure to food environments has mainly been limited to counting food outlets near participants' homes. This study considers food environment exposures in time and space using global positioning systems (GPS) records and fast food restaurants (FFRs) as the environment of interest. Data came from 412 participants (median participant age of 45) in the Seattle Obesity Study II who completed a survey, wore GPS receivers, and filled out travel logs for seven days. FFR locations were obtained from Public Health Seattle King County and geocoded. Exposure was conceptualized as contact between stressors (FFRs) and receptors (participants' mobility records from GPS data) using four proximities: 21 m, 100 m, 500 m, and 1/2 mile. Measures included count of proximal FFRs, time duration in proximity to 1 FFR, and time duration in proximity to FFRs weighted by FFR counts. Self-reported exposures (FFR visits) were excluded from these measures. Logistic regressions tested associations between one or more reported FFR visits and the three exposure measures at the four proximities. Time spent in proximity to an FFR was associated with significantly higher odds of FFR visits at all proximities. Weighted duration also showed positive associations with FFR visits at 21-m and 100-m proximities. FFR counts were not associated with FFR visits. Duration of exposure helps measure the relationship between the food environment, mobility patterns, and health behaviors. The stronger associations between exposure and outcome found at closer proximities (<100 m) need further research.

Keywords

Global Positioning Systems; Physical-activity; Health Research; Land-use; Neighborhood; Gps; Obesity; Tracking; Validity; Mobility; Fast Food; Spatio-temporal Exposure; Mobility Patterns; Selective Mobility Bias

Urban Design & Planning Interdisciplinary PhD

The Urban Design & Planning Interdisciplinary Ph.D. at the University of Washington is one of 39 Ph.D. programs in urban and regional planning in North America, and one of the oldest, founded in 1967.

This program brings together faculty from disciplines ranging from Architecture to Sociology to focus on the interdisciplinary study of urban problems and interventions. Covering scales from neighborhoods to metropolitan areas, the program addresses interrelationships between the physical environment, the built environment, and the social, economic, and political institutions and processes that shape urban areas. The breadth of this program permits students to pursue doctoral studies in the various aspects of urban design and planning as well as in a number of related social science, natural resource, and engineering areas.

The Program seeks to prepare scholars who can advance the state of research, practice, and education related to the built environment and its relationship to society and nature in metropolitan regions throughout the world. The program provides a strong interdisciplinary educational experience that draws on the resources of the entire University, and on the laboratory provided by the Seattle metropolitan region and the Pacific Northwest. The program emphasizes the educational values of interdisciplinarity, intellectual leadership and integrity, and the social values of equity, democracy and sustainability. It seeks to promote deeper understanding of the ways in which public decisions shape and are shaped by the urban physical, social, economic, and natural environment. The program envisions its graduates becoming leaders in the international community of researchers, practitioners and educators who focus on improving the quality of life and environment in metropolitan regions.

Urban Form Lab

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.

Northwest Center for Livable Communities

The Northwest Center’s mission is to enhance the livability of communities in the Pacific Northwest through applied research and outreach in the areas of land use planning, policy, and design; healthy communities; food security; and public participation and democracy.

The Center is a research and policy center focused on issues of environmental and economic sustainability, quality of life, and responsible governance using Washington as a model. Recognizing that the term “livability” has many different definitions and interpretations, the Center’s programs are focused on how the fields of urban planning and design, landscape architecture, and architecture work within this broader context to address livability factors.

The Center operates from the belief that the university should, in cooperation with state agencies, local governments, and community leaders, seek to improve existing social and environmental conditions through research and innovative policy development. It advocates development strategies that focus on smart and efficient land use, strong communities, high-wage, low waste jobs and economic development and public participation and accountability in government.

Anne Vernez-Moudon

Anne Vernez Moudon is Professor Emerita of Architecture, Landscape Architecture, and Urban Design and Planning at the University of Washington, Seattle. She is President of the International Seminar on Urban Morphology (ISUF), an international and interdisciplinary organization of scholars and practitioners; a Faculty Associate at the Lincoln Institute of Land Policy, in Cambridge, MA; a Fellow of the Urban Land Institute in Washington, D.C.; and a National Advisor to the Robert Wood Johnson Foundation program on Active Living Policy and Environmental Studies.

Dr. Moudon holds a B.Arch. (Honors) from the University of California, Berkeley, and a Doctor ès Science from the Ecole Polytechnique Fédérale of Lausanne, Switzerland. Her work focuses on urban form analysis, land monitoring, neighborhood and street design, and non-motorized transportation. Her current research is supported by the U.S. and Washington State departments of Transportation, the Puget Sound Regional Council, the Federal Highway Administration, and the Centers for Disease Control and Prevention.

Her published works include Built for Change: Neighborhood Architecture in San Francisco (MIT Press 1986), Public Streets for Public Use (Columbia University Press 1991), and Monitoring Land Supply with Geographic Information Systems (with M. Hubner, John Wiley & Sons, 2000). She also published several monographs, such as Master-Planned Communities: Shaping Exurbs in the 1990 ( with B. Wiseman and K.J. Kim, distributed by the APA Bookstore, 1992) and Urban Design: Reshaping Our Cities (with W. Attoe, University of Washington, College of Architecture and Urban Planning, 1995).

Dr. Moudon has been an active participant in The Mayors’ Institute on City Design since 1992. She has consulted for many communities nationally and internationally to develop urban design guidelines for new construction which respect the character of the existing landscape and built environment and which support non-motorized transportation. She has worked with planning officials, design professionals, and neighborhood groups in the Puget Sound as well as in San Francisco, CA, Toronto and Montreal, Canada, Stockholm, Sweden, among others. She taught courses and conducted seminars in urban design, planning, and housing in Japan, Korea, China, Mexico, Brazil, Venezuela, Colombia, France, the United Kingdom, and Switzerland.