在西雅图肥胖研究II中，活动空间指标与社会人口统计学变量、饮食或健康结果无关。
Activity space metrics not associated with sociodemographic variables, diet or health outcomes in the Seattle Obesity Study II.
作者信息
Drewnowski Adam, Aggarwal Anju, Rose Chelsea M, Gupta Shilpi, Delaney Joseph A, Hurvitz Philip M
机构信息
Center for Public Health Nutrition, 1107 NE 45th St, University of Washington, Seattle, WA 98105, United States.
Urban Form Lab, 1107 NE 45th St, University of Washington, Seattle, WA 98195, United States.
出版信息
Spat Spatiotemporal Epidemiol. 2019 Aug;30:100289. doi: 10.1016/j.sste.2019.100289. Epub 2019 Jul 12.
BACKGROUND
Activity spaces (AS), captured using GPS tracking devices, are measures of dynamic exposure to the built environment (BE).
METHODS
Seven days of Global Positioning Systems (GPS) tracking data were obtained for 433 adult participants in the Seattle Obesity Study (SOS II). Heights and weights were measured. Dietary intakes from a food frequency questionnaire were used to calculate Healthy Eating Index (HEI 2010) scores. Linear regression analyses examined associations between AS measures: daily route length, convex hull, and radius of gyration, and diet quality and health outcomes, adjusting for covariates.
RESULTS
AS measures did not vary by age, gender, race/ethnicity, or socioeconomic status. AS measures were not associated with diet quality or with self-reported obesity or diabetes. One AS measure, route length (in miles), was associated with being employed, living in the suburbs, and with distance and time commuting to work.
CONCLUSION
Spatial mobility studies based on GPS tracking of environmental exposure need to demonstrate a link to relevant health outcomes.
背景
使用全球定位系统（GPS）追踪设备获取的活动空间（AS）是衡量对建成环境（BE）动态暴露情况的指标。
方法
在西雅图肥胖研究（SOS II）中，为433名成年参与者获取了7天的全球定位系统（GPS）追踪数据。测量了身高和体重。使用食物频率问卷中的饮食摄入量来计算健康饮食指数（HEI 2010）得分。线性回归分析检验了活动空间指标（每日路线长度、凸包和回转半径）与饮食质量及健康结果之间的关联，并对协变量进行了调整。
结果
活动空间指标在年龄、性别、种族/族裔或社会经济地位方面没有差异。活动空间指标与饮食质量、自我报告的肥胖或糖尿病均无关联。一项活动空间指标，即路线长度（以英里为单位），与就业、居住在郊区以及通勤距离和通勤时间有关。
结论
基于GPS追踪环境暴露的空间流动性研究需要证明与相关健康结果之间存在联系。
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