Centre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia.
Int J Behav Nutr Phys Act. 2011 Jul 1;8:71. doi: 10.1186/1479-5868-8-71.
Features of the built environment are increasingly being recognised as potentially important determinants of obesity. This has come about, in part, because of advances in methodological tools such as Geographic Information Systems (GIS). GIS has made the procurement of data related to the built environment easier and given researchers the flexibility to create a new generation of environmental exposure measures such as the travel time to the nearest supermarket or calculations of the amount of neighbourhood greenspace. Given the rapid advances in the availability of GIS data and the relative ease of use of GIS software, a glossary on the use of GIS to assess the built environment is timely. As a case study, we draw on aspects the food and physical activity environments as they might apply to obesity, to define key GIS terms related to data collection, concepts, and the measurement of environmental features.
建筑环境的特点正逐渐被认为是肥胖的潜在重要决定因素。这在一定程度上是因为地理信息系统 (GIS) 等方法工具的进步。GIS 使获取与建筑环境相关的数据变得更加容易,并使研究人员能够灵活地创建新一代环境暴露测量方法,例如到最近超市的旅行时间或计算社区绿地的数量。鉴于 GIS 数据的可用性迅速提高,以及 GIS 软件的相对易用性,编制一本关于使用 GIS 评估建筑环境的术语表非常及时。作为一个案例研究,我们借鉴了食品和身体活动环境的各个方面,因为它们可能适用于肥胖,以定义与数据收集、概念和环境特征测量相关的关键 GIS 术语。