Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Faculty of Medicine, University of Geneva, Geneva, Switzerland.
PLoS One. 2022 Feb 23;17(2):e0252255. doi: 10.1371/journal.pone.0252255. eCollection 2022.
Evidence suggests that the built environment can influence the intensity of physical activity. However, despite the importance of the geographic context, most of the studies do not consider the spatial framework of this association. We aimed to assess individual spatial dependence of objectively measured moderate and vigorous physical activity (MVPA) and describe the characteristics of the built environment among spatial clusters of MVPA.
Cross-sectional data from the second follow-up (2014-2017) of CoLaus|PsyCoLaus, a longitudinal population-based study of the Lausanne area (Switzerland), was used to objectively measure MVPA using accelerometers. Local Moran's I was used to assess the spatial dependence of MVPA and detect geographic clusters of low and high MVPA. Additionally, the characteristics of the built environment observed in the clusters based on raw MVPA and MVPA adjusted for socioeconomic and demographic factors were compared.
Data from 1,889 participants (median age 63, 55% women) were used. The geographic distribution of MVPA and the characteristics of the built environment among clusters were similar for raw and adjusted MVPA. In the adjusted model, we found a low concentration of individuals within spatial clusters of high MVPA (median: 38.5mins; 3% of the studied population) and low MVPA (median: 10.9 mins; 2% of the studied population). Yet, clear differences were found in both models between clusters regarding the built environment; high MVPA clusters were located in areas where specific compositions of the built environment favor physical activity.
Our results suggest the built environment may influence local spatial patterns of MVPA independently of socioeconomic and demographic factors. Interventions in the built environment should be considered to promote physically active behaviors in urban areas.
有证据表明，建筑环境会影响身体活动的强度。然而，尽管地理环境很重要，但大多数研究都没有考虑到这种关联的空间框架。我们旨在评估客观测量的中度和剧烈身体活动（MVPA）的个体空间依赖性，并描述 MVPA 空间聚类中的建筑环境特征。
使用加速度计对洛桑地区（瑞士）的纵向人群基础研究 CoLaus|PsyCoLaus 的第二次随访（2014-2017 年）的横断面数据来客观测量 MVPA。局部 Moran's I 用于评估 MVPA 的空间依赖性，并检测 MVPA 的地理聚类。此外，根据原始 MVPA 和调整社会经济和人口因素后的 MVPA 比较了聚类中观察到的建筑环境特征。
使用了 1889 名参与者（中位数年龄 63 岁，55%为女性）的数据。MVPA 的地理分布和聚类中建筑环境的特征在原始和调整后的 MVPA 中相似。在调整后的模型中，我们发现高 MVPA 空间聚类中个体的浓度较低（中位数：38.5 分钟；研究人群的 3%）和低 MVPA（中位数：10.9 分钟；研究人群的 2%）。然而，在两个模型中，关于建筑环境，聚类之间都存在明显差异；高 MVPA 聚类位于有利于身体活动的建筑环境特定组成部分的区域。
我们的研究结果表明，建筑环境可能独立于社会经济和人口因素影响 MVPA 的局部空间模式。应考虑对建筑环境进行干预，以促进城市地区的积极身体活动。
