Investigating the Relationship between Structural Features of Built Environment and Physical Activity using Geographic Information Systems (GIS)
Copyright: © 2023 International Journal of Preventive Medicine..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:14 |
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| Enthalten in: |
International journal of preventive medicine - 14(2023) vom: 06., Seite 89 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Noormohammadpour, Pardis [VerfasserIn] |
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| Links: |
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| Themen: |
Built environmental |
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| Anmerkungen: |
Date Revised 11.12.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.4103/ijpvm.ijpvm_285_22 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM363474684 |
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| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright: © 2023 International Journal of Preventive Medicine. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Built environmental | |
| 650 | 4 | |a exercise | |
| 650 | 4 | |a land use | |
| 650 | 4 | |a physical activity | |
| 650 | 4 | |a traffic | |
| 650 | 4 | |a walkability index | |
| 700 | 1 | |a Ghadimi, Ehsan |e verfasserin |4 aut | |
| 700 | 1 | |a Memari, Amirhossein |e verfasserin |4 aut | |
| 700 | 1 | |a Selk-Ghaffari, Maryam |e verfasserin |4 aut | |
| 700 | 1 | |a Mansournia, Mohammad Ali |e verfasserin |4 aut | |
| 700 | 1 | |a Kordi, Ramin |e verfasserin |4 aut | |
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