Integrating activity spaces in health research: Comparing the VERITAS activity space questionnaire with 7-day GPS tracking and prompted recall

Kestens, Yan; Thierry, Benoît; Shareck, Martine; Steinmetz-Wood, Madeleine; Chaix, Basile

doi:10.1016/j.sste.2017.12.003

Cited by 59 publications

(61 citation statements)

References 40 publications

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“…Acknowledging that an individual’s home neighborhood cannot capture the full extent of health‐related BE exposure, researchers turned to more advanced GPS technologies to track movements in space and time . Cumulative mobility over a given time period is the basis for constructing AS areas .…”

Section: Evolving Measures Of Be Exposurementioning

confidence: 99%

“…The literature examining whether BE features captured in an individual’s AS are more predictive of health than home‐centric‐defined features is relatively nascent . In some cases, AS‐defined food and structural environment features have been shown to be more predictive of health behaviors than those captured in the home neighborhood.…”

Section: Evolving Measures Of Be Exposurementioning

confidence: 99%

“…Capturing the full contextual exposome, the totality of BE exposures at the individual level, has been described as fundamental to a better understanding of diet, obesity, and diabetes . The promise of evaluations of the BE was to show a causal link between elements of the BE, or changes in the BE over time, and obesity or other health outcomes . To that end, evaluations of BE exposures have sought to develop methods to more accurately and completely capture elements of the BE.…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, such BE measurement tools have become increasingly more sophisticated using wearable GPS devices, often augmented with travel diaries, travel logs, Google street views, or other mobile technologies . These approaches allow the capture of near instantaneous measures of exposure to the BE not only around the home location but also at work, school, and along travel routes . Mobile technologies have become increasingly atomized, allowing researchers to capture the minutiae of daily activities in time and space, sometimes at time resolutions of 10 seconds or less.…”

Section: Introductionmentioning

confidence: 99%

“…The almost exclusive focus on quantifying BE exposure, together with cross‐sectional study designs , has limited the ability to draw causal inferences regarding potential links between BE exposure and obesity . Furthermore, there seems to be a conceptual disconnect between current measures of BE exposure and the long‐term trajectories of body weight.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Obesity and the Built Environment: A Reappraisal

Drewnowski

Buszkiewicz

Aggarwal

et al. 2019

Obesity

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The built environment (BE) has been viewed as an important determinant of health. Numerous studies have linked BE exposure, captured using a variety of methods, to diet quality and to area prevalence of obesity, diabetes, and cardiovascular disease. First‐generation studies defined the neighborhood BE as the area around the home. Second‐generation studies turned from home‐centric to person‐centric BE measures, capturing an individual’s movements in space and time. Those studies made effective uses of global positioning system tracking devices and mobile phones, sometimes coupled with accelerometers and remote sensors. Activity space metrics explored travel paths, modes, and destinations to assess BE exposure that was both person and context specific. However, as measures of the contextual exposome have become ever more fine‐grained and increasingly complex, connections to long‐term chronic diseases with complex etiologies, such as obesity, are in danger of being lost. Furthermore, few studies on obesity and the BE have included intermediate energy balance behaviors, such as diet and physical activity, or explored the potential roles of social interactions or psychosocial pathways. Emerging survey‐based applications that identify habitual destinations and associated travel patterns may become the third generation of tools to capture health‐relevant BE exposures in the long term.

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Section: Evolving Measures Of Be Exposurementioning

confidence: 99%

Section: Evolving Measures Of Be Exposurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Obesity and the Built Environment: A Reappraisal

Drewnowski

Buszkiewicz

Aggarwal

et al. 2019

Obesity

View full text Add to dashboard Cite

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Geography, Indoor Mobility and Activity Space: Informing Inclusive Healthcare Design

Sturge

2023

Design for Sustainable Inclusion

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Use of participatory mapping approaches for activity space studies: a brief overview of pros and cons

Hasanzadeh

2021

GeoJournal

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Participatory mapping approaches have raised increasing interest in a variety of fields of research and practice during the past two decades. However, their use in modeling and studying individual mobility and activity spaces is rather recent and limited. This paper focuses on the use of public participation GIS (PPGIS) data in activity space modeling and analysis and aims to draw more scholarly attention to the existing research potentials in this area. While reviewing the pros of using PPGIS for activity space studies, this paper also discusses the existing limitations and outlines how they can be addressed in future research. PPGIS effectively enables collecting data from larger samples, making it possible to conduct more comprehensive geospatial and statistical analyses on the data. Additionally, the strong link between individuals and places in PPGIS data facilitates more person-based approaches in investigating person-environment relationships. However, use of PPGIS for activity space studies comes with analytical and data quality challenges that need to be thoroughly taken into consideration. Particularly, future research needs to seek new ways of including the temporal dimension in PPGIS and find new methods of using the data for activity space modeling and analysis.

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Integrating activity spaces in health research: Comparing the VERITAS activity space questionnaire with 7-day GPS tracking and prompted recall

Abstract: There is a spatial correspondence between destinations collected through VERITAS and 7-day GPS tracking. Both collection methods offer complementary ways to assess daily mobilities, useful to study environmental determinants of health and health inequities.

Cited by 59 publications

References 40 publications

Obesity and the Built Environment: A Reappraisal

Obesity and the Built Environment: A Reappraisal

Geography, Indoor Mobility and Activity Space: Informing Inclusive Healthcare Design

Use of participatory mapping approaches for activity space studies: a brief overview of pros and cons

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