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A new method to visualize obesity prevalence in Seattle-King County at the census block level
A Drewnowski1, J Buszkiewicz1, A Aggarwal1
1Center for Public Health Nutrition University of Washington Seattle WA USA.
Obesity Science & Practice
|February 27, 2018
Summary
Low residential property values in Seattle King County are linked to higher obesity rates. This study mapped obesity prevalence using property values to visualize socioeconomic disparities.
Area of Science:
- Public Health
- Epidemiology
- Geographic Information Systems (GIS)
Background:
- Obesity is a significant public health concern with socioeconomic disparities.
- Mapping health outcomes at a granular level can reveal important geographic patterns.
Purpose of the Study:
- To map obesity prevalence in Seattle King County at the census block level.
- To investigate the association between residential property values and obesity rates.
Main Methods:
- Utilized data from the Seattle Obesity Study I (1,632 adults).
- Collected demographic, socioeconomic, and anthropometric data via telephone survey.
- Geocoded home addresses and obtained residential property values.
- Employed multiple logistic regression and generated obesity heat maps using property value deciles.
Main Results:
- Low residential property values were significantly associated with high obesity rates (OR: 0.36; 95% CI [0.25, 0.51]).
- Obesity heat maps effectively visualized geographic differences in prevalence.
- Adjusted for key demographic and socioeconomic factors including age, gender, race, home ownership, education, and income.
Conclusions:
- Residential property values serve as an objective measure of socioeconomic status.
- Property values are a valuable tool for visualizing socioeconomic disparities in health outcomes like obesity.
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