A GPS-Based Methodology to Analyze Environment-Health Associations at the Trip Level

Case-Crossover Analyses of Built Environments and Walking

Basile Chaix, Yan Kestens, Dustin Duncan, Ruben Brondeel, Julie Méline, Tarik El Aarbaoui, Bruno Pannier, Juan Merlo

Research output: Contribution to journalArticle

Abstract

Environmental health studies have examined associations between context and health with individuals as statistical units. However, investigators have been unable to investigate momentary exposures, and such studies are often vulnerable to confounding from, for example, individual-level preferences. We present a Global Positioning System (GPS)-based methodology for segmenting individuals' observation periods into visits to places and trips, enabling novel life-segment investigations and case-crossover analysis for improved inferences. We analyzed relationships between built environments and walking in trips. Participants were tracked for 7 days with GPS receivers and accelerometers and surveyed with a Web-based mapping application about their transport modes during each trip (Residential Environment and Coronary Heart Disease (RECORD) GPS Study, France, 2012-2013; 6,313 trips made by 227 participants). Contextual factors were assessed around residences and the trips' origins and destinations. Conditional logistic regression modeling was used to estimate associations between environmental factors and walking or accelerometry-assessed steps taken in trips. In case-crossover analysis, the probability of walking during a trip was 1.37 (95% confidence interval: 1.23, 1.61) times higher when trip origin was in the fourth (vs. first) quartile of service density and 1.47 (95% confidence interval: 1.23, 1.68) times higher when trip destination was in the fourth (vs. first) quartile of service density. Green spaces at the origin and destination of trips were also associated with within-individual, trip-to-trip variations in walking. Our proposed approach using GPS and Web-based surveys enables novel life-segment epidemiologic investigations.

Original languageEnglish (US)
Pages (from-to)579-589
Number of pages11
JournalAmerican Journal of Epidemiology
Volume184
Issue number8
DOIs
StatePublished - Oct 15 2016

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Geographic Information Systems
Walking
Health
Accelerometry
Confidence Intervals
Environmental Health
France
Coronary Disease
Logistic Models
Research Personnel
Observation

Keywords

  • Abbreviations
  • Accelerometry
  • built environment
  • global positional system
  • travel behavior
  • walking

ASJC Scopus subject areas

  • Epidemiology

Cite this

A GPS-Based Methodology to Analyze Environment-Health Associations at the Trip Level : Case-Crossover Analyses of Built Environments and Walking. / Chaix, Basile; Kestens, Yan; Duncan, Dustin; Brondeel, Ruben; Méline, Julie; El Aarbaoui, Tarik; Pannier, Bruno; Merlo, Juan.

In: American Journal of Epidemiology, Vol. 184, No. 8, 15.10.2016, p. 579-589.

Research output: Contribution to journalArticle

Chaix, Basile ; Kestens, Yan ; Duncan, Dustin ; Brondeel, Ruben ; Méline, Julie ; El Aarbaoui, Tarik ; Pannier, Bruno ; Merlo, Juan. / A GPS-Based Methodology to Analyze Environment-Health Associations at the Trip Level : Case-Crossover Analyses of Built Environments and Walking. In: American Journal of Epidemiology. 2016 ; Vol. 184, No. 8. pp. 579-589.
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