ArticleInternational journal of obesity (2005)2014
The geographic distribution of obesity by census tract among 59 767 insured adults in King County, WA.
Article in International journal of obesity (2005), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The relationship of the local food environment with obesity: A systematic review of methods, study quality, and results.Obesity (Silver Spring, Md.) · 2015Pooled it
- Built environmental characteristics, physical activity, diet, and nutritional status in Accra, Ghana: a cross-sectional study.BMC public health · 2026Article
- Socioeconomic inequalities in waist circumference and its 12-year change: Moderation by neighbourhood population density.Preventive medicine reports · 2025Article
- Identifying obesogenic environment through spatial clustering of body mass index among adults.International journal of health geographics · 2024Article
- Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity.International journal of environmental research and public health · 2022Article
- From the clinic to the community: Can health system data accurately estimate population obesity prevalence?Obesity (Silver Spring, Md.) · 2021Article
- Residents' Insights on Their Local Food Environment and Dietary Behaviors: A Cross-City Comparison Using Photovoice in Spain.International journal of environmental research and public health · 2021Article
- Characterization of Regional Poison Center Utilization Through Geospatial Mapping.The western journal of emergency medicine · 2020Article
- Developing a surveillance system of sub-county data: Finding suitable population thresholds for geographic aggregations.Spatial and spatio-temporal epidemiology · 2020Article
- Impact of Built Environments on Body Weight (the Moving to Health Study): Protocol for a Retrospective Longitudinal Observational Study.JMIR research protocols · 2020Article
- The Moving to Health (M2H) approach to natural experiment research: A paradigm shift for studies on built environment and health.SSM - population health · 2019Article
- Associations of overweight/obesity and socioeconomic status with hypertension prevalence across racial and ethnic groups.Journal of clinical hypertension (Greenwich, Conn.) · 2018Article
- A new method to visualize obesity prevalence in Seattle-King County at the census block level.Obesity science & practice · 2018Article
- The Spatial Distribution of Adult Obesity Prevalence in Denver County, Colorado: An Empirical Bayes Approach to Adjust EHR-Derived Small Area Estimates.EGEMS (Washington, DC) · 2017Article
- Socioeconomic Status and Incidence of Hospitalization With Lower-Extremity Peripheral Artery Disease: Atherosclerosis Risk in Communities Study.Journal of the American Heart Association · 2017Article
- Obesity Pathogenesis: An Endocrine Society Scientific Statement.Endocrine reviews · 2017Review
- Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project).The international journal of behavioral nutrition and physical activity · 2016Article
- Using Small-Area Estimation to Calculate the Prevalence of Smoking by Subcounty Geographic Areas in King County, Washington, Behavioral Risk Factor Surveillance System, 2009-2013.Preventing chronic disease · 2016Article
- Persistent spatial clusters of high body mass index in a Swiss urban population as revealed by the 5-year GeoCoLaus longitudinal study.BMJ open · 2016Article
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Authors and funding
3 authors.
Funding
Abstract
objectiveTo evaluate the geographic concentration of adult obesity prevalence by census tract (CT) in King County, WA, in relation to social and economic factors. METHODS AND
designMeasured heights and weights from 59 767 adult men and women enrolled in the Group Health (GH) healthcare system were used to estimate obesity prevalence at the CT level. CT-level measures of socioeconomic status (SES) were median home values of owner-occupied housing units, percent of residents with a college degree and median household incomes, all drawn from the 2000 Census. Spatial regression models were used to assess the relation between CT-level obesity prevalence and socioeconomic variables.
resultsSmoothed CT obesity prevalence, obtained using an Empirical Bayes tool, ranged from 16.2-43.7% (a 2.7-fold difference). The spatial pattern of obesity was non-random, showing a concentration in south and southeast King County. In spatial regression models, CT-level home values and college education were more strongly associated with obesity than household incomes. For each additional $100 000 in median home values, CT obesity prevalence was 2.3% lower. The three SES factors together explained 70% of the variance in CT obesity prevalence after accounting for population density, race/ethnicity, age and spatial dependence.
conclusionsTo our knowledge, this is the first report to show major social disparities in adult obesity prevalence at the CT scale that is based, moreover, on measured heights and weights. Analyses of data at sufficiently fine geographic scale are needed to guide targeted local interventions to stem the obesity epidemic.
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