Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS).
Built environmental
exercise
land use
physical activity
traffic
walkability index
Journal
International journal of preventive medicine
ISSN: 2008-7802
Titre abrégé: Int J Prev Med
Pays: Iran
ID NLM: 101535380
Informations de publication
Date de publication:
2023
2023
Historique:
received:
22
08
2022
accepted:
16
02
2023
pubmed:
19
10
2023
medline:
19
10
2023
entrez:
19
10
2023
Statut:
epublish
Résumé
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. 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. Among the built environmental variables, land use was associated with the total physical activity and travel-related physical activity level (r: 0.155, 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.
Sections du résumé
Background
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
Among the built environmental variables, land use was associated with the total physical activity and travel-related physical activity level (r: 0.155,
Conclusions
UNASSIGNED
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.
Identifiants
pubmed: 37854982
doi: 10.4103/ijpvm.ijpvm_285_22
pii: IJPVM-14-89
pmc: PMC10580202
doi:
Types de publication
Journal Article
Langues
eng
Pagination
89Informations de copyright
Copyright: © 2023 International Journal of Preventive Medicine.
Déclaration de conflit d'intérêts
There are no conflicts of interest.