Activity space metrics not associated with sociodemographic variables, diet or health outcomes in the Seattle Obesity Study II

Adam Drewnowski · Anju Aggarwal · Chelsea M. Rose · Shilpi Gupta · Joseph A. Delaney · Philip M. Hurvitz

9 citations0/0 files storedSpatial and Spatio-temporal Epidemiology

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Urban Transport and Accessibility Urban Green Space and Health Human Mobility and Location-Based Analysis

Abstract

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.

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References

2008Understanding individual human mobility patterns 2011Activity space environment and dietary and physical activity behaviors: A pilot study 2013Conceptualization and measurement of environmental exposure in epidemiology: Accounting for activity space related to daily mobility 2012An Interactive Mapping Tool to Assess Individual Mobility Patterns in Neighborhood Studies 2012New Approaches to Human Mobility: Using Mobile Phones for Demographic Research 2014Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis 2018Mobile Sensing in Environmental Health and Neighborhood Research 2011Analysis of rural activity spaces and transport disadvantage using a multi-method approach

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