Noormohammadpour Pardis, Ghadimi Ehsan, Memari Amirhossein, Selk-Ghaffari Maryam, Mansournia Mohammad Ali, Kordi Ramin
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.
Int J Prev Med. 2023 Jun 22;14:89. doi: 10.4103/ijpvm.ijpvm_285_22. eCollection 2023.
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, value: 0.001, and r: 0.122, 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, value: 0.006, and r: 0.135, value: 0.001, respectively). Higher levels of the walkability index were associated with an improved level of physical activity (OR: 2.04).
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.
参与体育活动的建成环境决定因素取决于社会属性。本研究使用地理信息系统（GIS）调查德黑兰22个区的环境结构变量与体育活动水平之间的关系。
本横断面研究基于城市健康公平评估与应对工具（Urban HEART - 2）。通过全球体育活动问卷（GPAQ）评估体育活动水平。利用ArcGIS软件确定邻里环境特征，包括土地利用、街道格局、人口密度和交通情况。计算步行适宜性指数（人口密度、街道格局、土地利用）以评估居住环境主要变量对体育活动水平的影响。
在建成环境变量中，土地利用与总体体育活动及与出行相关的体育活动水平相关（r分别为0.155，P值为0.001；r为0.122，P值为0.007）。步行适宜性指数与总体体育活动水平及与出行相关的体育活动水平相关（r分别为0.126，P值为0.006；r为0.135，P值为0.001）。较高的步行适宜性指数与改善的体育活动水平相关（比值比：2.04）。
步行适宜性指数和土地利用与总体体育活动水平呈正相关，制定提高步行适宜性指数和改善土地利用的行动计划可能会提高体育活动水平。
