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Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise

Published on: January 26, 2024

The built environment and location-based physical activity.

Philip J Troped¹, Jeffrey S Wilson, Charles E Matthews

¹Department of Health and Kinesiology, Purdue University, West Lafayette, Indiana 47907-2046, USA. ptroped@purdue.edu

American Journal of Preventive Medicine

|March 24, 2010

Summary

This summary is machine-generated.

Built environment features near homes are linked to physical activity, but only when activity is measured at specific locations. This study used GPS and accelerometers to link built environments to moderate-to-vigorous physical activity (MVPA).

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Area of Science:

Environmental Health
Urban Planning
Physical Activity Epidemiology

Background:

Previous research on the built environment and physical activity often assumes activity occurs near home, but this location is not always known.
Understanding where physical activity occurs is crucial for effective built environment interventions.

Purpose of the Study:

To investigate the relationship between built environment characteristics around homes and workplaces and moderate-to-vigorous physical activity (MVPA).
To determine if specific built environment variables are associated with MVPA occurring within defined home and work proximity zones.

Main Methods:

148 adult participants in Massachusetts wore accelerometers and GPS devices for up to four days.
Moderate-to-vigorous physical activity (MVPA) was quantified within 50-meter and 1-kilometer buffers around home and work locations.
Multiple regression analyses examined associations between objective built environment variables (e.g., intersection density, land use mix) and MVPA within these buffers.

Main Results:

Daily MVPA averaged 61.1 minutes, with 14.0 minutes occurring within 1-km home buffers.
Higher intersection density, land use mix, and population/housing density near homes were positively associated with MVPA in home buffers (p<0.05).
A vegetation index showed an inverse relationship with MVPA near homes. Only population and housing density near work was associated with MVPA in work buffers.

Conclusions:

Built environment attributes around homes are linked to location-specific physical activity, supporting previous findings.
Simultaneous accelerometer-GPS monitoring effectively quantifies physical activity in diverse contexts, enhancing understanding of built environment influences.
This approach provides a clearer link between physical activity outcomes and built environment exposures.