Division of Health Policy and Administration, Institute for Health Research and Policy, School of Public Health, University of Illinois at Chicago , Chicago, IL , USA.
Institute for Health Research and Policy , Chicago, IL , USA.
Front Public Health. 2016 May 9;4:89. doi: 10.3389/fpubh.2016.00089. eCollection 2016.
Environmental and policy factors play an important role in influencing people's lifestyles, physical activity (PA), and risks for developing obesity. Research suggests that more walkable communities are needed to sustain lifelong PA behavior, but there is a need to determine what local built environment features facilitate making being active the easy choice.
This county-level study examined the association between local walkability (walkability and traffic calming scales), pedestrian danger, and the percent of adults who used active transport to work.
Built environment and PA outcome measures were constructed for the 496 most populous counties representing 74% of the U.S. population. Geographic information system-based walkability scales were constructed and include a census of roads located within the counties using 2011 Navteq data. The pedestrian danger index (PDI) includes data collected from the Fatality Analysis Reporting System 2009-2011, and measures the likelihood of a pedestrian being hit and killed by a vehicle. Four continuous outcome measures were constructed using 2009-2013 American Community Survey county-level 5-year estimates. The measures represent the percentage of workers living in a county who worked away from home and (1) walked to work; (2) biked to work; (3) took public transit; and (4) used any form of active transport. Linear regression and mediation analyses were conducted to examine the association between walkability, PDI, and active transport. Models accounted for clustering within state with robust SEs, and controlled for median household income, families with children in poverty, race, ethnicity, urbanicity, and region.
The walkability scale was significantly negatively associated with the PDI (β = -0.06, 95% CI = -0.111, -0.002). In all models, the PDI was significantly negatively associated with all active travel-related outcomes at the p < 0.01 level. The walkability scale was positively associated with all four outcomes at the p < 0.01 level. Results showed that the significant positive relationship between local walkability and the four active transport outcome measures was partially mediated by the PDI. We found no association between traffic calming, the PDI, and the active transport outcomes.
Results from this study show that, at the county-level, walkability is associated with active travel, and this association is partially mediated by an index of pedestrian safety.
环境和政策因素在影响人们的生活方式、身体活动(PA)和肥胖风险方面起着重要作用。研究表明,需要建设更多适合步行的社区,以维持人们终身的 PA 行为,但需要确定当地的哪些建筑环境特征有利于人们选择积极的生活方式。
本县级研究调查了当地步行性(步行性和交通平静性尺度)、行人危险度与使用主动交通方式上班的成年人比例之间的关系。
为代表美国 74%人口的 496 个人口最多的县构建了基于地理信息系统的步行性尺度,包括使用 2011 年 Navteq 数据对各县内道路的普查。行人危险指数(PDI)包括从 2009-2011 年的 Fatality Analysis Reporting System 收集的数据,衡量行人被车辆撞击和致死的可能性。使用 2009-2013 年美国社区调查县级 5 年估计值构建了四个连续的结果指标。这些指标代表了居住在一个县中离家工作的工人比例,其中(1)步行上班;(2)骑自行车上班;(3)乘坐公共交通工具;以及(4)使用任何形式的主动交通。使用线性回归和中介分析来检验步行性、PDI 和主动交通之间的关联。模型考虑了州内的聚类,并使用稳健的标准误,控制了家庭中位数收入、贫困家庭中的儿童、种族、族裔、城市人口和地区。
步行性尺度与 PDI 呈显著负相关(β=-0.06,95%置信区间=-0.111,-0.002)。在所有模型中,PDI 与所有四项与主动交通相关的结果均呈显著负相关(p<0.01)。步行性尺度与四项结果均呈显著正相关(p<0.01)。结果表明,当地步行性与四项主动交通结果之间的显著正相关关系部分由 PDI 中介。我们没有发现交通平静度、PDI 和主动交通结果之间的关联。
本研究结果表明,在县级层面,步行性与主动交通有关,这种关联部分由行人安全指数中介。