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Related Experiment Video

Updated: Jun 25, 2026

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

How well do cognitive and environmental variables predict active commuting?

Mélanie Lemieux¹, Gaston Godin

¹Department of Social and Preventive Medicine, Division of Kinesiology, Laval University, Québec, Canada. Gaston.Godin@fsi.ulaval.ca.

The International Journal of Behavioral Nutrition and Physical Activity

|March 10, 2009

Summary

Cognitive factors significantly predict active commuting behavior more than environmental ones. Interventions should focus on individual cognitions to promote walking and cycling for students.

Related Experiment Videos

Last Updated: Jun 25, 2026

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

Area of Science:

Behavioral Science
Public Health
Environmental Psychology

Background:

Growing interest in integrating cognitive and environmental factors for obesity-related behavior prediction.
Application of the theory of planned behavior to understand health-related actions.
Focus on active commuting as a key behavior for health and obesity prevention.

Purpose of the Study:

To determine the predictive contribution of cognitive and environmental variables on active commuting behavior.
To examine the interplay between cognitive, environmental, and socio-demographic factors.
To identify key determinants of intention and behavior for active commuting.

Main Methods:

Prospective study with 130 undergraduate and graduate students.
Baseline evaluation of environmental, cognitive, and socio-demographic variables via questionnaire.
Self-reported active commuting (walking/bicycling) assessed two weeks later.
Hierarchical multiple regression analyses to predict intention and behavior.

Main Results:

Cognitive variables explained more variance in behavior (37.4%) than environmental variables (26.8%).
A combined model including socio-demographic variables explained 41.1% of the variance, with intention, habit, and age as significant determinants.
Intention was strongly predicted (78.2% variance) by perceived behavioral control, attitude, and habit.

Conclusions:

Cognitive variables are more influential than environmental variables in predicting active commuting.
Environmental influences on active commuting are often mediated by cognitive factors.
Interventions promoting active commuting should prioritize targeting individual cognitions in students.