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Updated: Jun 15, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Mapping data shape community responses to childhood obesity.

William M Sage¹, Matthew Balthazar, Steven Kelder

¹Health Affairs, University of Texas, Austin, USA. BSage@law.utexas.edu

Health Affairs (Project Hope)

|March 3, 2010

Summary

Geographic Information System (GIS) mapping identified high rates of childhood obesity in Austin, Texas middle schools. This revealed neighborhood-specific factors contributing to the problem, enabling targeted community interventions.

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Area of Science:

Public Health
Geographic Information Science
Childhood Nutrition

Background:

Childhood obesity is a significant public health concern requiring localized understanding.
Geographic Information System (GIS) mapping offers a powerful tool for visualizing health data and identifying environmental influences.
Community-based initiatives are crucial for addressing health disparities.

Purpose of the Study:

To utilize GIS mapping to assess the prevalence of obesity among middle school students in Austin, Texas.
To identify neighborhood-specific factors associated with childhood obesity.
To inform community-led interventions for obesity prevention and management.

Main Methods:

Employed Geographic Information System (GIS) technology to map childhood obesity rates in Austin middle schools.
Collected and analyzed data on neighborhood characteristics including fast-food outlets, grocery stores, green spaces, and cardiovascular health indicators.
Correlated obesity prevalence with identified environmental and health-related factors.

Main Results:

Obesity was found to be prevalent across all Austin middle schools.
Two specific neighborhoods exhibited particularly high concentrations of overweight and obese students.
Variations in the availability of healthy food options, recreational spaces, and cardiovascular health were observed between neighborhoods.

Conclusions:

GIS mapping effectively visualizes the geographic distribution and contributing factors of childhood obesity.
Neighborhood-level data is essential for developing targeted and effective obesity interventions.
Community engagement spurred by data visualization can drive localized public health improvements.