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Digital interventions in self-determined exercise motivation – interdisciplinary innovations
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI).
Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI), Sport Health and Physical activity.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4143-2948
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2015 (English)In: ISBNPA 2015: Advancing Behavior Change Science : 3rd – 6th June 2015: Abstract Book, 2015, 592-592 p.Conference paper, Poster (Refereed)
Abstract [en]

Purpose:There is a need for scientifically sound and theory based tools and services in e-health. In this project knowledge from the field of psychology will be complemented by expertise in information technology and innovation science in designing a digital intervention based on Self-determination theory (SDT) aiming to facilitate exercise motivation.

Methods:The intervention will be tested by a three wave RCT design in a population of e-health clients (n = 200) in a web based exercise service. Sensors (step counters) and self-reports (Godin Leisure-Time Exercise Questionnaire) will be used to measure objective and subjective exercise behavior while instruments based on SDT (Basic Psychological Needs in Exercise Scale and Behavioral Regulation in Exercise Questionnaire-2 ) will measure factors related to motivation.  Advanced mediation variable analyses (MVA) and latent growth curve models (LGCM) will be used to explore motivational processes, changes and profiles in relation to exercise behavior.

Expected Results:Based on the SDT process model, it is hypothesized that a (digital) environment supporting basic psychological need satisfaction will facilitate internalization and enhanced self-determined motivation, which in turn will have a positive effect on exercise behavior.

Conclusions:Clarifying mechanisms and indirect effects provide knowledge of how intervention effects could be interpreted and understood. Combining high level research design like RCT and advanced analyses as MVA provides valuable contributions to the understanding of theoretical mechanisms of motivation that could inform the tailoring of effective interventions promoting healthy exercise behaviours.  In addition, the project might form a prosperous interdisciplinary fusion generating innovative and theory based digital solutions for e-health.

Place, publisher, year, edition, pages
2015. 592-592 p.
Keyword [en]
self-determination, exercise, innovation, interdisciplinary
National Category
Psychology
Identifiers
URN: urn:nbn:se:hh:diva-29599OAI: oai:DiVA.org:hh-29599DiVA: diva2:860277
Conference
ISBNPA 2015 - Conference for International Society for Behavioral Nutrition and Physical Activity, Advancing Behavior Change Science, 3rd - 6th June, 2015, Edinburgh, Scotland
Funder
Knowledge Foundation
Note

Poster P3.116

Available from: 2015-10-12 Created: 2015-10-12 Last updated: 2016-03-09Bibliographically approved

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Centre of Research on Welfare, Health and Sport (CVHI)Centre for Innovation, Entrepreneurship and Learning Research (CIEL)Sport Health and Physical activityCAISR - Center for Applied Intelligent Systems ResearchMan and Information technology laboratory (MI-lab)
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