Spatial access to sport facilities from the multiple places visited and sport practice: Assessing and correcting biases related to selective daily mobility

Samjhana Shrestha, Yan Kestens, Frédérique Thomas, Tarik El Aarbaoui, Basile Chaix

2019-07-10articleSocial Science & Medicine47 citationshybrid

No readable copy stored yet — this record is metadata only.

Urban Transport and Accessibility Physical Activity and Health Urban Green Space and Health

Abstract

BACKGROUND: Studies investigating the association between spatial accessibility to environmental resources from the various places a person visits during daily activities and use of corresponding resources often do not account for potential biases related to selective daily mobility. This bias occurs when accessibility is also measured from places intentionally visited to access the resources of interest. The aim of this study was to examine associations between spatial accessibility to sports facilities from multiple places and sport practice while addressing the selective daily mobility bias. METHODS: The second wave of the RECORD Cohort was used to examine the relationship between the spatial accessibility to sport facilities and the practice of three sport categories (swimming, racket, and team sports), using multilevel linear probability models (n = 5327 participants) adjusted for individual and contextual characteristics. Street network distance to the nearest sport facility was considered as a measure of spatial accessibility [from the residence; from the residence and workplace; from all visited locations (full activity space), biased; and from all locations excluded those visited for sports (truncated activity space), corrected]. RESULTS: The residential and residential-workplace accessibility to facilities was not associated with sport practice. The spatial accessibility to facilities from all places visited (full activity space) was associated with the practice of the three categories of sports (biased relationships). After correcting the bias (truncated activity space), the strength of the relationships was markedly reduced. An association remained only for swimming sports. CONCLUSION: This study underlines the need to account for selective daily mobility bias when determining spatial accessibility to resources from the various places visited. Such bias, if not addressed, may result in overestimated associations between spatial accessibility and use, leading to potentially erroneous conclusions in terms of planning.

Citations in this library

Stored only when both papers are in the corpus — 47 citations exist upstream.

References

2002The relative influence of individual, social and physical environment determinants of physical activity

2006Availability of Physical Activity–Related Facilities and Neighborhood Demographic and Socioeconomic Characteristics: A National Study

2011Activity space environment and dietary and physical activity behaviors: A pilot study

2013GPS tracking in neighborhood and health studies: A step forward for environmental exposure assessment, a step backward for causal inference?

2012An Interactive Mapping Tool to Assess Individual Mobility Patterns in Neighborhood Studies

2011Cohort Profile: Residential and non-residential environments, individual activity spaces and cardiovascular risk factors and diseases--The RECORD Cohort Study

2015Accessibility to sport facilities in Wales: A GIS-based analysis of socio-economic variations in provision

2013Creating ‘obesogenic realities’; do our methodological choices make a difference when measuring the food environment?

Cited by

2020Adults’ leisure-time physical activity and the neighborhood built environment: a contextual perspective

2020An Exploration of Spatial and Social Inequalities of Urban Sports Facilities in Nanning City, China

2023Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study

2022Spatial Accessibility to Sports Facilities in Dongguan, China: a Multi-Preference Gaussian Two-Step Floating Catchment Area Method