| ORIGINAL ARTICLE |
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| Year : 2023 | Volume
: 14
| Issue : 1 | Page : 89 |
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Investigating the relationship between structural features of built environment and physical activity using geographic information systems (GIS)
Pardis Noormohammadpour1, Ehsan Ghadimi2, Amirhossein Memari2, Maryam Selk-Ghaffari2, Mohammad Ali Mansournia3, Ramin Kordi4
1 Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
2 Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
3 Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4 Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences; Spine Center of Excellence, Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran
Correspondence Address:
Maryam Selk-Ghaffari
Sports Medicine Research Center, No. 7, Al-e Ahmad St., Tehran
Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/ijpvm.ijpvm_285_22
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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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