Por favor, use este identificador para citar o enlazar este Item:http://hdl.handle.net/20.500.12105/4836
Título
Characterizing physical activity and food urban environments: a GIS-based multicomponent proposal
Autor(es)
Cebrecos, Alba | Díez, Julia | Gullen, Pedro ISCIII | Bilal, Usama | Franco, Manuel | Escobar, Francisco
Fecha de publicación
2016-10-04
Cita
Int J Health Geogr. 2016; 15:35
Idioma
Inglés
Tipo de documento
journal article
Resumen
BACKGROUND: Healthier urban environments influence the distribution of cardiovascular risk factors. Our aim was to design and implement a multicomponent method based on Geographic Information Systems to characterize and evaluate environmental correlates of obesity: the food and the physical activity urban environments.
METHODS: Study location comprised a socio-demographically average urban area of 12 contiguous census sections (≈16,000 residents), in Madrid, Spain. We conducted on-field audits on all food stores and street segments. We designed a synthetic index integrating continuous measures of both environments, by kernel density analyses. Index ranges from 0 to 100 (least-most healthy).
RESULTS: We found a heterogeneous distribution with 75 and 50 % of the area scoring less than 36.8 and 25.5, respectively. Census sections of study area were categorized by Jenks intervals as high, medium-high, medium-low and low. 41.0 % of residents lived in an area with a low score, 23.6 % medium-low and 31.1 % medium-high and 4.2 % in a high.
CONCLUSION: The proposed synthetic index may be a relevant tool to inform urban health interventions, providing a feasible way to integrate different measures of barriers and facilitators of healthy urban environments in terms of food and physical activity.
Palabras clave
Synthetic index | Geographic Information Systems | Healthy food availability | Physical activity | Obesogenic environments
Versión en línea
DOI
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