Academic Journals Database
Disseminating quality controlled scientific knowledge

Identification of contrastive and comparable school neighborhoods for childhood obesity and physical activity research

ADD TO MY LIST
 
Author(s): Zhang Xingyou | Christoffel Katherine | Mason Maryann | Liu Lin

Journal: International Journal of Health Geographics
ISSN 1476-072X

Volume: 5;
Issue: 1;
Start page: 14;
Date: 2006;
Original page

ABSTRACT
Abstract The neighborhood social and physical environments are considered significant factors contributing to children's inactive lifestyles, poor eating habits, and high levels of childhood obesity. Understanding of neighborhood environmental profiles is needed to facilitate community-based research and the development and implementation of community prevention and intervention programs. We sought to identify contrastive and comparable districts for childhood obesity and physical activity research studies. We have applied GIS technology to manipulate multiple data sources to generate objective and quantitative measures of school neighborhood-level characteristics for school-based studies. GIS technology integrated data from multiple sources (land use, traffic, crime, and census tract) and available social and built environment indicators theorized to be associated with childhood obesity and physical activity. We used network analysis and geoprocessing tools within a GIS environment to integrate these data and to generate objective social and physical environment measures for school districts. We applied hierarchical cluster analysis to categorize school district groups according to their neighborhood characteristics. We tested the utility of the area characterizations by using them to select comparable and contrastive schools for two specific studies. Results We generated school neighborhood-level social and built environment indicators for all 412 Chicago public elementary school districts. The combination of GIS and cluster analysis allowed us to identify eight school neighborhoods that were contrastive and comparable on parameters of interest (land use and safety) for a childhood obesity and physical activity study. Conclusion The combination of GIS and cluster analysis makes it possible to objectively characterize urban neighborhoods and to select comparable and/or contrasting neighborhoods for community-based health studies.
Save time & money - Smart Internet Solutions     

Tango Jona
Tangokurs Rapperswil-Jona