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Application of self-determination theory in the e-health industry – promoting sustainable exercise motivation
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Man and Information technology laboratory (MI-lab).ORCID iD: 0000-0001-8409-7628
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.
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2015 (English)In: Proceeding: 14th European Congress of Sport Psychology: Sport Psychology: Theories and Applications for Performance, Health and Humanity: 14-19 July 2015, Bern, Switzerland / [ed] Olivier Schmid & Roland Seiler, Bern: University of Bern , 2015, 372-372 p.Conference paper, Poster (Refereed)
Abstract [en]

Developing tailored digital interventions for exercise motivation by applying behavioral theory into existing web services in cooperation with the e-health industry could create a mutual base for experience exchange and practical implications. It could also add higher standards to e-health business by providing a scientifically sound and trustworthy foundation for digital solutions. This project aims to design an interactive tool grounded in sport and exercise psychology and combined with the latest expertise from information technology and innovation science, considering e-health industrial requirements and user needs. A main objective is to test the efficacy of using Self-Determination Theory (SDT) in designing, constructing and evaluating an exercise intervention. The digital intervention is based on a literature review mapping exercise motivation related to self-determination theory, complemented by qualitative cross-disciplinary interaction design methodologies, such as qualitative analysis of interviews and contextual observation capturing participant goals, behaviour, preferences, attitudes and frustrations. Intervention contents are essentially autonomy supportive structures, goal-setting support and relapse prevention, self-regulation structures, health information and web links. In February 2015 the intervention prototype will be pilot tested in a randomized controlled trial (RCT), involving existing members and clients (N > 10 000) of two health service companies. Outcomes relate to self-determined exercise motivation (The Basic Psychological Needs in Exercise Scale and The Behavioral Regulation in Exercise Questionnaire-2) and exercise behaviour, measured both by self-report measures (Godin Leisure-Time Exercise Questionnaire) and step counters. The RCT contains three measure points in order to allow advanced analyses of change and mechanisms based on the SDT-process model and motivational profiles. Latent growth curve and structural equation models will primarily be used to analyse data. This pilot study will create a baseline for elaboration into a second phase, were the digital tool will be further developed and longitudinally tested and evaluated over a nine months period. © 2015 University of Bern, Institut of Sport Science 

Place, publisher, year, edition, pages
Bern: University of Bern , 2015. 372-372 p.
National Category
Psychology
Identifiers
URN: urn:nbn:se:hh:diva-29601ISBN: 978-3-033-05129-4 OAI: oai:DiVA.org:hh-29601DiVA: diva2:860329
Conference
14th European Congress of Sport Psychology, FEPSAC 2015, Bern, Switzerland, July 14-19th, 2015
Funder
Knowledge Foundation
Available from: 2015-10-12 Created: 2015-10-12 Last updated: 2016-12-02Bibliographically approved

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Weman Josefsson, KarinEbbesson, EsbjörnHalila, FawziJohnson, UrbanLund, JesperWickström, NicholasWärnestål, Pontus
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Centre of Research on Welfare, Health and Sport (CVHI)Man and Information technology laboratory (MI-lab)Centre for Innovation, Entrepreneurship and Learning Research (CIEL)Sport Health and Physical activityCAISR - Center for Applied Intelligent Systems Research
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