MRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, Cambridgeshire, CB2 0QQ, UK.
National Institute for Health Research (NIHR) Global Health Research Group and Network on Diet and Activity, University of Cambridge, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, Cambridgeshire, CB2 0QQ, UK.
Health Place. 2019 Jul;58:102113. doi: 10.1016/j.healthplace.2019.04.003. Epub 2019 Aug 8.
Activity spaces are increasingly used to understand how people interact with their environment and engage in activity but their use may raise challenges regarding causal inference. We conducted a systematic review of findings and the methodological, analytical and conceptual issues relevant to causal inference. Studies were included if they comprised a spatial summary of locations visited, assessed any part of the causal pathway between the environment, physical activity and health, and used quantitative or qualitative methods. We searched seven electronic databases in January 2018 and screened 11910 articles for eligibility. Forty-seven studies were included for review. Studies answered research questions about features of or environmental features within activity spaces using a range of spatial and temporal summary techniques. The conceptual challenge of using activity spaces to strengthen causal inference was rarely considered, although some studies discussed circularity, temporality, and plausibility. Future studies should use longitudinal and experimental designs and consider the potential and actual use of spaces for physical activity, and their relationship with total levels of activity.
活动空间越来越多地被用于了解人们如何与环境相互作用并参与活动,但它们的使用可能会对因果推断提出挑战。我们对与因果推断相关的发现以及方法学、分析和概念问题进行了系统回顾。如果研究包括对访问地点的空间总结、评估环境、身体活动和健康之间因果关系的任何部分,并且使用定量或定性方法,则将其包括在内。我们于 2018 年 1 月在七个电子数据库中进行了搜索,并对 11910 篇文章进行了筛选,以确定其是否符合入选标准。有 47 项研究被纳入审查。这些研究使用一系列空间和时间总结技术回答了有关活动空间特征或环境特征的研究问题。尽管一些研究讨论了循环性、时间性和合理性,但很少有研究考虑使用活动空间来加强因果推断的概念性挑战。未来的研究应使用纵向和实验设计,并考虑实际和潜在的活动空间用于身体活动及其与总活动水平的关系。