Chan Jeffrey Alexander, Bosma Hans, Drosinou Connie, Timmermans Erik J, Savelberg Hans, Schaper Nicolaas, Schram Miranda T, Stehouwer Coen D A, Lakerveld Jeroen, Koster Annemarie
Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Department of Social Medicine, Maastricht University, Maastricht, The Netherlands.
Scand J Med Sci Sports. 2023 Nov;33(11):2313-2322. doi: 10.1111/sms.14455. Epub 2023 Jul 24.
We investigated the association of neighborhood walkability with accelerometer-measured physical activity (PA) and sedentary behavior (SB) and examined whether objective and subjective measures of walkability resulted in similar findings.
PA and SB from the first 7689 Maastricht Study participants ages 40-75 from 2010 to 2017 were measured using accelerometers for 7 days. Mean daily step count, light-intensity PA, moderate- to vigorous- intensity PA (MVPA), and SB were calculated. Objective walkability was measured by the 7-component Dutch Walkability Index within 500 m Euclidean buffers around residential addresses of participants. Subjective walkability was obtained from the Abbreviated Neighborhood Environment Walkability Scale. Linear regression models analyzed the associations of walkability with PA and SB, controlling for potential confounders.
Objective walkability was negatively associated with light intensity PA in the most walkable quartile (b = -14.58, 95% CI = -20.94, -8.23). Compared to participants living in the least walkable neighborhoods, those in the most walkable quartile had statistically significantly higher SB levels (b = 11.64, 95% CI = 4.95, 18.32). For subjective walkability, mean daily step count was significantly higher in the most walkable quartile (b = 509.60, 95% CI = 243.38, 775.81). Higher subjective walkability was positively associated with MVPA (b = 4.40, 95% CI = 2.56, 6.23).
Living in a neighborhood with higher objective walkability was associated with lower levels of PA and higher SB levels while higher subjective walkability was associated with higher levels of PA. These results show discordant findings and thus, the effect of walkability on participant PA and SB within our sample is to be determined.
我们研究了社区步行适宜性与加速度计测量的身体活动（PA）及久坐行为（SB）之间的关联，并检验了步行适宜性的客观和主观测量方法是否得出相似的结果。
对2010年至2017年参加马斯特里赫特研究的首批7689名年龄在40 - 75岁的参与者，使用加速度计测量其7天的PA和SB。计算每日平均步数、轻度身体活动、中度至剧烈身体活动（MVPA）以及SB。客观步行适宜性通过参与者居住地址周围500米欧几里得缓冲区的7分量荷兰步行适宜性指数来测量。主观步行适宜性通过简化的邻里环境步行适宜性量表获得。线性回归模型分析了步行适宜性与PA和SB之间的关联，并控制了潜在的混杂因素。
在步行适宜性最高的四分位数区间，客观步行适宜性与轻度身体活动呈负相关（b = -14.58，95%置信区间 = -20.94，-8.23）。与居住在步行适宜性最低社区的参与者相比，步行适宜性最高四分位数区间的参与者SB水平在统计学上显著更高（b = 11.64，95%置信区间 = 4.95，18.32）。对于主观步行适宜性，步行适宜性最高四分位数区间的每日平均步数显著更高（b = 509.60，95%置信区间 = 243.38，775.81）。较高的主观步行适宜性与MVPA呈正相关（b = 4.40，95%置信区间 = 2.56，6.23）。
居住在客观步行适宜性较高的社区与较低的PA水平和较高的SB水平相关，而较高的主观步行适宜性与较高的PA水平相关。这些结果显示出不一致的发现，因此，步行适宜性对我们样本中参与者PA和SB的影响有待确定。
