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

Health & Place - Tập 21 - Trang 46-51 - 2013
Basile Chaix1, Julie Méline, Scott Duncan, Claire Merrien, Noëlla Karusisi, Camille Perchoux, Antoine Lewin, Karim Labadi, Yan Kestens
1Inserm, U707, Faculté de Médecine Saint-Antoine, 27 rue Chaligny, 75012 Paris, France. [email protected]

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Almanza, 2012, A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data, Health Place, 18, 46, 10.1016/j.healthplace.2011.09.003

Auld, 2009, An automated GPS-based prompted recall survey with learning algorithms, Journal of Transportation Letters, 1, 59, 10.3328/TL.2009.01.01.59-79

Bohte, 2009, Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: a large-scale application in the Netherlands, Transportation Research Part C, 17, 285, 10.1016/j.trc.2008.11.004

Chaix, 2009, Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda, Annual Review of Public Health, 30, 81, 10.1146/annurev.publhealth.031308.100158

Chaix, 2012, Associations of supermarket characteristics with weight status and body fat: a multilevel analysis of individuals within supermarkets (RECORD Study), PLoS One, 7, e32908, 10.1371/journal.pone.0032908

Chaix, 2010, Individual/neighborhood social factors and blood pressure in the RECORD Cohort Study: which risk factors explain the associations?, Hypertension, 55, 769, 10.1161/HYPERTENSIONAHA.109.143206

Chaix, 2011, Neighborhood effects on health: correcting bias from neighborhood effects on participation, Epidemiology, 22, 18, 10.1097/EDE.0b013e3181fd2961

Chaix, 2012, Cohort profile: residential and non-residential environments, individual activity spaces and cardiovascular risk factors and diseases—The RECORD Cohort Study, International Journal of Epidemiology, 41, 1283, 10.1093/ije/dyr107

Chaix, 2012, An interactive mapping tool to assess individual mobility patterns in neighborhood studies, American Journal of Preventive Medicine, 43, 440, 10.1016/j.amepre.2012.06.026

Cummins, 2007, Commentary: investigating neighbourhood effects on health-avoiding the ‘local trap’, International Journal of Epidemiology, 36, 355, 10.1093/ije/dym033

Duncan, 2009, Applying GPS to enhance understanding of transport-related physical activity, Journal of Science and Medicine in Sport, 12, 549, 10.1016/j.jsams.2008.10.010

Duncan, 2007, GIS or GPS? A comparison of two methods for assessing route taken during active transport, American Journal of Preventive Medicine, 33, 51, 10.1016/j.amepre.2007.02.042

Elgethun, 2003, Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument, Environmental Health Perspective, 111, 115, 10.1289/ehp.5350

Flamm, M., Kaufmann, V., 2006. The concept of personal network of usual places as a tool for analysing human activity spaces: a quantitative exploration. In: Paper for the 6th Swiss Transport Research Conference. Monte Verita, Ascona, Switzerland.

Frank, 2007, Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?, Social Science and Medicine, 65, 1898, 10.1016/j.socscimed.2007.05.053

Kestens, 2012, Association between activity space exposure to food establishments and individual risk of overweight, PLoS One, 7

Kestens, 2010, Using experienced activity spaces to measure foodscape exposure, Health Place, 16, 1094, 10.1016/j.healthplace.2010.06.016

Kestens, 2010, Household residential choices upon acquiring a single-family house, 159

Krenn, 2011, Use of global positioning systems to study physical activity and the environment: a systematic review, American Journal of Preventive Medicine, 41, 508, 10.1016/j.amepre.2011.06.046

Lachowycz, 2012, What can global positioning systems tell us about the contribution of different types of urban greenspace to children's physical activity?, Health Place, 18, 586, 10.1016/j.healthplace.2012.01.006

Marchal, 2011, Postprocessing procedures for person-based Global Positioning System data collected in the French National Travel Survey: 2007–2008, Transportation Research Record: Journal of the Transportation Research Board, 2246, 47, 10.3141/2246-07

Matthews, 2011, Spatial polygamy and the heterogeneity of place: studying people and place via egocentric methods, 35

Oliver, 2010, Combining GPS, GIS, and accelerometry: methodological issues in the assessment of location and intensity of travel behaviors, Journal of Physical Activity and Health, 7, 102, 10.1123/jpah.7.1.102

Quigg, 2010, Using accelerometers and GPS units to identify the proportion of daily physical activity located in parks with playgrounds in New Zealand children, American Journal of Preventive Medicine, 50, 235, 10.1016/j.ypmed.2010.02.002

Rainham, 2010, Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research, Social Science and Medicine, 70, 668, 10.1016/j.socscimed.2009.10.035

Rodriguez, 2012, Out and about: association of the built environment with physical activity behaviors of adolescent females, Health Place, 18, 55, 10.1016/j.healthplace.2011.08.020

Southward, 2012, Contribution of the school journey to daily physical activity in children aged 11–12 years, American Journal of Preventive Medicine, 43, 201, 10.1016/j.amepre.2012.04.015

Stopher, P.R., Collins, A., 2005. Conducting a GPS prompted recall survey over the internet. In: Paper presented at the 84th Annual Meeting of the Transportation Research Board. Washington, DC.

Thierry, B., Barnett, T., Kestens, Y., 2011. Mobile technologies and people–place interaction analysis: Identifying significant activity places for health research. In: Proceedings of the International Medical Geography Symposium. Durham, UK.

Thierry, B., Chaix, B., Kestens, Y., Detecting activity locations from raw GPS data: a novel kernel-based algorithm, submitted for publication.

Tsui, 2006, Enhanced system for link and mode identification for personal travel surveys based on global positioning systems, Transportation Research Record, 1972, 38, 10.3141/1972-07

van Lenthe, 2007, Neighbourhood inequalities in health and health-related behaviour: results of selective migration?, Health Place, 13, 123, 10.1016/j.healthplace.2005.09.013

Wheeler, 2010, Greenspace and children's physical activity: a GPS/GIS analysis of the PEACH project, American Journal of Preventive Medicine, 51, 148, 10.1016/j.ypmed.2010.06.001

Zenk, 2011, Activity space environment and dietary and physical activity behaviors: a pilot study, Health Place, 17, 1150, 10.1016/j.healthplace.2011.05.001