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A spatial analysis of obesogenic environments for children
Gilbert C Liu1, Cynthia Cunningham, Stephen M Downs
1Children's Health Services Research Prog, Indiana University, Riley Hospital, Indianapolis, IN, USA.
Proceedings. AMIA Symposium
|December 5, 2002
Summary
Low socioeconomic status in children is linked to higher rates of obesity. This study used spatial analysis and merged health and environmental data to explore these connections, highlighting the role of socioeconomic factors in childhood obesity.
Area of Science:
- Environmental health
- Public health epidemiology
- Geospatial health analysis
Background:
- Childhood obesity is a significant public health concern with complex determinants.
- Understanding the environmental and social factors contributing to childhood obesity is crucial for effective intervention.
- Geographic Information Systems (GIS) offer powerful tools for analyzing spatial relationships in health data.
Purpose of the Study:
- To investigate the association between socioeconomic status and childhood obesity using spatial analysis.
- To integrate clinical data with environmental and societal data for a comprehensive analysis.
- To explore the utility of GIS in studying the epidemiology of childhood obesity.
Main Methods:
- A merged database was created combining clinical data from the Regenstrief Medical Record System (RMRS) and socio-environmental data from the Social Assets and Vulnerabilities Indicators (SAVI) Project.
- Children were categorized into normal weight, overweight, or obese groups using RMRS data.
- Spatial analysis techniques were applied to census tract-level data to examine relationships between socioeconomic status markers and obesity outcomes.
Main Results:
- Preliminary analyses indicate a correlation between low socioeconomic status markers at the census tract level and increased rates of overweight and obesity in children.
- The study demonstrates the feasibility of merging diverse datasets for health-related spatial analysis.
- Geographic disparities in childhood obesity linked to socioeconomic factors were identified.
Conclusions:
- Socioeconomic factors at a community level are associated with childhood obesity.
- GIS and integrated data analysis are valuable tools for understanding the spatial epidemiology of childhood obesity.
- Further research is warranted to explore the specific environmental and social mechanisms driving these associations.