GPS tracking in neighborhood and health studies: a step forward for environmental exposure assessment, a step backward for causal inference?

Recent studies have relied on GPS tracking to assess exposure to environmental characteristics over daily life schedules. Combining GPS and GIS allows for advances in environmental exposure assessment. However, biases related to selective daily mobility preclude assessment of environmental effects, to the extent that these studies may represent a step backward in terms of assessment of causal effects. A solution may be to integrate the Public health / Nutrition approach and the Transportation approach to GPS studies, so as to combine a GPS and accelerometer data collection with an electronic mobility survey. Correcting exposure measures and improving study designs with this approach may permit mitigating biases related to selective daily mobility.

[1]  Kelly R Evenson,et al.  Out and about: association of the built environment with physical activity behaviors of adolescent females. , 2012, Health & place.

[2]  I. McDowell,et al.  Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research. , 2010, Social science & medicine.

[3]  Peter R. Stopher,et al.  Conducting a GPS prompted recall survey over the internet , 2005 .

[4]  Philippe Marchal,et al.  Postprocessing Procedures for Person-Based Global Positioning System Data Collected in the French National Travel Survey 2007–2008 , 2011 .

[5]  Amer Shalaby,et al.  Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems , 2006 .

[6]  Johan P Mackenbach,et al.  Neighbourhood inequalities in health and health-related behaviour: results of selective migration? , 2007, Health & place.

[7]  Scott Duncan,et al.  Combining GPS, GIS, and accelerometry: methodological issues in the assessment of location and intensity of travel behaviors. , 2010, Journal of physical activity & health.

[8]  Joshua Auld,et al.  An automated GPS-based prompted recall survey with learning algorithms , 2009 .

[9]  Basile Chaix,et al.  Individual/Neighborhood Social Factors and Blood Pressure in the RECORD Cohort Study: Which Risk Factors Explain the Associations? , 2010, Hypertension.

[10]  Basile Chaix,et al.  Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda. , 2009, Annual review of public health.

[11]  B. Saelens,et al.  Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? , 2007, Social science & medicine.

[12]  M. Thériault,et al.  Household Residential Choices Upon Acquiring a Single‐Family House , 2013 .

[13]  Basile Chaix,et al.  An interactive mapping tool to assess individual mobility patterns in neighborhood studies. , 2012, American journal of preventive medicine.

[14]  Andy P. Jones,et al.  What can global positioning systems tell us about the contribution of different types of urban greenspace to children's physical activity? , 2012, Health & place.

[15]  Vincent Kaufmann,et al.  The concept of personal network of usual places as a tool for analysing human activity spaces , 2007 .

[16]  Basile Chaix,et al.  Neighborhood Effects on Health: Correcting Bias From Neighborhood Effects on Participation , 2011, Epidemiology.

[17]  Angie S Page,et al.  Contribution of the school journey to daily physical activity in children aged 11-12 years. , 2012, American journal of preventive medicine.

[18]  Hélène Charreire,et al.  Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study) , 2012, PloS one.

[19]  M. Duncan,et al.  GIS or GPS? A comparison of two methods for assessing route taken during active transport. , 2007, American journal of preventive medicine.

[20]  Kai Elgethun,et al.  Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. , 2003, Environmental health perspectives.

[21]  Edmund Seto,et al.  A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data. , 2012, Health & place.

[22]  Mitch J Duncan,et al.  Applying GPS to enhance understanding of transport-related physical activity. , 2009, Journal of science and medicine in sport.

[23]  David Ogilvie,et al.  Use of global positioning systems to study physical activity and the environment: a systematic review. , 2011, American journal of preventive medicine.

[24]  Y. Kestens,et al.  Association between Activity Space Exposure to Food Establishments and Individual Risk of Overweight , 2012, PloS one.

[25]  Y. Kestens,et al.  Using experienced activity spaces to measure foodscape exposure. , 2010, Health & place.

[26]  A. Cooper,et al.  Greenspace and children's physical activity: a GPS/GIS analysis of the PEACH project. , 2010, Preventive medicine.

[27]  Y. Kestens,et al.  Cohort profile: residential and non-residential environments, individual activity spaces and cardiovascular risk factors and diseases--the RECORD Cohort Study. , 2012, International journal of epidemiology.

[28]  Alec Holt,et al.  Using accelerometers and GPS units to identify the proportion of daily physical activity located in parks with playgrounds in New Zealand children. , 2010, Preventive medicine.

[29]  Steven Cummins,et al.  Commentary: investigating neighbourhood effects on health--avoiding the 'local trap'. , 2007, International journal of epidemiology.

[30]  Stephen A. Matthews,et al.  Spatial Polygamy and the Heterogeneity of Place: Studying People and Place via Egocentric Methods , 2011 .

[31]  Basile Chaix,et al.  Detecting activity locations from raw GPS data: a novel kernel-based algorithm , 2013, International Journal of Health Geographics.

[32]  Kees Maat,et al.  Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands , 2009 .

[33]  JoEllen Wilbur,et al.  Activity space environment and dietary and physical activity behaviors: a pilot study. , 2011, Health & place.