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How well do cognitive and environmental variables predict active commuting

TLDR
Cognitive variables play a more important role than environmental variables in predicting and explaining active commuting and individual cognitions should remain one of the main focuses of interventions promoting active commuting among undergraduate and graduate students.
Abstract
In recent years, there has been growing interest in theoretical studies integrating cognitions and environmental variables in the prediction of behaviour related to the obesity epidemic. This is the approach adopted in the present study in reference to the theory of planned behaviour. More precisely, the aim of this study was to determine the contribution of cognitive and environmental variables in the prediction of active commuting to get to and from work or school. A prospective study was carried out with 130 undergraduate and graduate students (93 females; 37 males). Environmental, cognitive and socio-demographic variables were evaluated at baseline by questionnaire. Two weeks later, active commuting (walking/bicycling) to get to and from work or school was self-reported by questionnaire. Hierarchical multiple regression analyses were performed to predict intention and behaviour. The model predicting behaviour based on cognitive variables explained more variance than the model based on environmental variables (37.4% versus 26.8%; Z = 3.86, p < 0.001). Combining cognitive and environmental variables with socio-demographic variables to predict behaviour yielded a final model explaining 41.1% (p < 0.001) of the variance. The significant determinants were intention, habit and age. Concerning intention, the same procedure yielded a final model explaining 78.2% (p < 0.001) of the variance, with perceived behavioural control, attitude and habit being the significant determinants. The results showed that cognitive variables play a more important role than environmental variables in predicting and explaining active commuting. When environmental variables were significant, they were mediated by cognitive variables. Therefore, individual cognitions should remain one of the main focuses of interventions promoting active commuting among undergraduate and graduate students.

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Towards parsimony in habit measurement: Testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index

TL;DR: A four-item automaticity subscale (the ‘Self-Report Behavioural Automaticity Index’; ‘SRBAI’) was found to be reliable and sensitive to two hypothesised effects of habit on behaviour: a habit-behaviour correlation, and a moderating effect of habits on the intention-Behaviour relationship.
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A Systematic Review and Meta-analysis of Applications of the Self-Report Habit Index to Nutrition and Physical Activity Behaviours

TL;DR: Evidence around mean habit strength, habit–behaviour correlations, and habit × intention interactions, from applications of the SRHI to dietary, physical activity, and active travel behaviour is reviewed.
Journal ArticleDOI

Moderators of the intention-behaviour relationship in the physical activity domain: a systematic review

TL;DR: Intention stability proved to be the most consistent moderator of I-PA, suggesting that much of the discordance may be from motivational flux between initial intention and eventual behaviour.

A systematic review of associations between environmental factors, energy and fat intakes among adults: is there evidence for environments that encourage obesogenic dietary intakes?

TL;DR: It is too premature to conclude whether or not environmental factors play a role in obesogenic and unhealthy dietary intakes, but more studies need to examine associations with those environmental factors thought to contribute to obesogens environments.
Journal ArticleDOI

Active commuting influences among adults.

TL;DR: A range of influences on self-reported AC behavior is examined to provide insight for the development of policies and programs to enhance population level AC.
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