Spatial Sciences Institute, University of Southern California, United States of America.
Spatial Sciences Institute, University of Southern California, United States of America.
Sci Total Environ. 2024 Mar 25;918:170551. doi: 10.1016/j.scitotenv.2024.170551. Epub 2024 Feb 8.
The built and natural environment factors (e.g., greenspace, walkability) are associated with maternal and infant health during and after pregnancy. Most pregnancy studies assess exposures to environmental factors via static methods (i.e., residential location at a single point in time, usually 3rd trimester). These do not capture dynamic exposures encountered in activity spaces (e.g., locations one visits and paths one travels) and their changes over time. In this study, we aimed to compare daily environmental exposure estimates using residential and global positioning systems (GPS)-measured activity space approaches and evaluated potential for exposure measurement error in the former. To do this, we collected four days of continuous geolocation monitoring during the 1st and 3rd trimesters of pregnancy and at 4-6 months postpartum in sixty-two pregnant Hispanic women enrolled in the MADRES cohort. We applied residential and GPS-based methods to assess daily exposures to greenspace, access to parks and transit, and walkability, respectively. We assessed potential for exposure measurement error in residential vs GPS-based estimates using Pearson correlations for each measure overall and by study period. We found residential and GPS-based estimates of daily exposure to total areas of parks and open spaces were weakly positively correlated (r = 0.31, P < .001) across pregnancy and postpartum periods. Residential estimates of %greenspace (r = 0.52, P < .001) and tree cover (r = 0.55, P < .001) along walkable roads were moderately correlated with GPS-based estimates. Residential and GPS-based estimates of public transit proximity, pedestrian-oriented intersection density, and walkability index score were all highly positively correlated (r > 0.70, P < .001). We also found associations between residential and GPS-based estimates decreased among participants with greater daily mobility. Our findings suggest the popular approach that assessing the built and natural environment exposures using residential methods at one time point may introduce exposure measurement error in pregnancy studies. GPS-based methods, to the extent feasible, are recommended for future studies.
建筑和自然环境因素(例如,绿地、可步行性)与妊娠期间和之后的母婴健康有关。大多数妊娠研究通过静态方法评估环境因素的暴露情况(即,在单一时间点的居住地点,通常是妊娠晚期)。这些方法无法捕捉到活动空间中遇到的动态暴露情况(例如,一个人访问的地点和一个人旅行的路径)及其随时间的变化。在这项研究中,我们旨在比较使用住宅和全球定位系统(GPS)测量的活动空间方法的日常环境暴露估计值,并评估前者在暴露测量中的潜在误差。为此,我们在 MADRES 队列中招募的 62 名怀孕的西班牙裔妇女的妊娠第 1 个月和第 3 个月以及产后 4-6 个月期间收集了四天的连续地理定位监测数据。我们分别应用住宅和基于 GPS 的方法来评估每日暴露于绿地、公园和交通可达性以及可步行性的情况。我们通过对每个测量指标的整体和按研究期间的皮尔逊相关性来评估住宅与基于 GPS 的估计值在暴露测量中的潜在误差。我们发现,在整个妊娠和产后期间,住宅和基于 GPS 的每日暴露于公园和开放空间总面积的估计值之间呈弱正相关(r=0.31,P<.001)。住宅估计的 %绿地(r=0.52,P<.001)和行道树覆盖率(r=0.55,P<.001)与基于 GPS 的估计值中度相关。住宅和基于 GPS 的公共交通接近度、行人导向交叉口密度和可步行性指数得分的估计值均高度正相关(r>0.70,P<.001)。我们还发现,在日常活动能力较高的参与者中,住宅和基于 GPS 的估计值之间的相关性降低。我们的研究结果表明,在妊娠研究中使用住宅方法在一个时间点评估建筑和自然环境暴露情况的常用方法可能会引入暴露测量误差。在可行的情况下,建议为未来的研究采用基于 GPS 的方法。