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Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)

BACKGROUND: Built environment determinants of engaging in physical activity are dependent on the properties of societies. This study investigates the relationship between structural variables of the environment using geographic information systems (GIS) and the level of physical activity in 22 distr...

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Autores principales: Noormohammadpour, Pardis, Ghadimi, Ehsan, Memari, Amirhossein, Selk-Ghaffari, Maryam, Mansournia, Mohammad Ali, Kordi, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580202/
https://www.ncbi.nlm.nih.gov/pubmed/37854982
http://dx.doi.org/10.4103/ijpvm.ijpvm_285_22
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author Noormohammadpour, Pardis
Ghadimi, Ehsan
Memari, Amirhossein
Selk-Ghaffari, Maryam
Mansournia, Mohammad Ali
Kordi, Ramin
author_facet Noormohammadpour, Pardis
Ghadimi, Ehsan
Memari, Amirhossein
Selk-Ghaffari, Maryam
Mansournia, Mohammad Ali
Kordi, Ramin
author_sort Noormohammadpour, Pardis
collection PubMed
description BACKGROUND: Built environment determinants of engaging in physical activity are dependent on the properties of societies. This study investigates the relationship between structural variables of the environment using geographic information systems (GIS) and the level of physical activity in 22 districts of Tehran. METHODS: This cross-sectional study was based on Urban Health Equity Assessment and Response Tool (Urban HEART-2). Physical activity level was assessed via the Global Physical Activity Questionnaire (GPAQ). The characteristics of the neighborhood environment, including land use, street pattern, population density, and traffic, were determined via ArcGIS software. Walkability index (population density, street pattern, land use) was calculated to assess the effect of the main variables of living environment on physical activity level. RESULTS: Among the built environmental variables, land use was associated with the total physical activity and travel-related physical activity level (r: 0.155, P value: 0.001, and r: 0.122, P value: 0.007, respectively). The walkability index indicated an association with the total physical activity level and travel-related physical activity level (r: 0.126, P value: 0.006, and r: 0.135, P value: 0.001, respectively). Higher levels of the walkability index were associated with an improved level of physical activity (OR: 2.04). CONCLUSIONS: Walkability index and land use positively correlate with total physical activity level, and providing action plans that improve walkability index and land use might lead to increased physical activity level.
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spelling pubmed-105802022023-10-18 Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS) Noormohammadpour, Pardis Ghadimi, Ehsan Memari, Amirhossein Selk-Ghaffari, Maryam Mansournia, Mohammad Ali Kordi, Ramin Int J Prev Med Original Article BACKGROUND: Built environment determinants of engaging in physical activity are dependent on the properties of societies. This study investigates the relationship between structural variables of the environment using geographic information systems (GIS) and the level of physical activity in 22 districts of Tehran. METHODS: This cross-sectional study was based on Urban Health Equity Assessment and Response Tool (Urban HEART-2). Physical activity level was assessed via the Global Physical Activity Questionnaire (GPAQ). The characteristics of the neighborhood environment, including land use, street pattern, population density, and traffic, were determined via ArcGIS software. Walkability index (population density, street pattern, land use) was calculated to assess the effect of the main variables of living environment on physical activity level. RESULTS: Among the built environmental variables, land use was associated with the total physical activity and travel-related physical activity level (r: 0.155, P value: 0.001, and r: 0.122, P value: 0.007, respectively). The walkability index indicated an association with the total physical activity level and travel-related physical activity level (r: 0.126, P value: 0.006, and r: 0.135, P value: 0.001, respectively). Higher levels of the walkability index were associated with an improved level of physical activity (OR: 2.04). CONCLUSIONS: Walkability index and land use positively correlate with total physical activity level, and providing action plans that improve walkability index and land use might lead to increased physical activity level. Wolters Kluwer - Medknow 2023-06-22 /pmc/articles/PMC10580202/ /pubmed/37854982 http://dx.doi.org/10.4103/ijpvm.ijpvm_285_22 Text en Copyright: © 2023 International Journal of Preventive Medicine https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Noormohammadpour, Pardis
Ghadimi, Ehsan
Memari, Amirhossein
Selk-Ghaffari, Maryam
Mansournia, Mohammad Ali
Kordi, Ramin
Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)
title Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)
title_full Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)
title_fullStr Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)
title_full_unstemmed Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)
title_short Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)
title_sort investigating the relationship between structural features of built environment and physical activity using geographic information systems (gis)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580202/
https://www.ncbi.nlm.nih.gov/pubmed/37854982
http://dx.doi.org/10.4103/ijpvm.ijpvm_285_22
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