A dual process model to predict adolescents’ screen time and physical activity
Aulbach, M. B., Konttinen, H., Gardner, B., Kujala, E., Araujo-Soares, V., Sniehotta, F. F., Lintunen, T., Haukkala, A., & Hankonen, N. (2021). A dual process model to predict adolescents’ screen time and physical activity. Psychology and Health, Early online. https://doi.org/10.1080/08870446.2021.1988598
Published inPsychology and Health
DisciplineLiikuntapsykologiaResurssiviisausyhteisöSport and Exercise PsychologySchool of Resource Wisdom
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Objective Many adolescents report a lack of physical activity (PA) and excess screen time (ST). Psychological theories aiming to understand these behaviours typically focus on predictors of only one behaviour. Yet, behaviour enactment is often a choice between options. This study sought to examine predictors of PA and ST in a single model. Variables were drawn from dual process models, which portray behaviour as the outcome of deliberative and automatic processes. Design 411 Finnish vocational school students (age 17–19) completed a survey, comprising variables from the Reasoned Action Approach (RAA) and automaticity pertaining to PA and ST, and self-reported PA and ST four weeks later. Main outcome measures Self-reported time spent on PA and ST and their predictors. Results PA and ST correlated negatively (r = −.17, p = .03). Structural equation modelling revealed that intentions and habit for PA predicted PA while ST was predicted by intentions and habit for ST and negatively by PA intentions. RAA-cognitions predicted intentions. Conclusion PA and ST and their psychological predictors seem to be weakly interlinked. Future studies should assess more behaviours and related psychological influences to get a better picture of connections between different behaviours. ...
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- Liikuntatieteiden tiedekunta 
Additional information about fundingThis work was supported by the Finnish Ministry for Education and Culture, grant no:s 34/626/2012 and 81/626/2014, and Academy of Finland (for NH, grant no 285283).
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