Dalager, Tina

Kaarsted, Thomas

Overgaard, Anne Kathrine

Sjöberg, Linnea Marie

Sjøgaard, Gisela

Søgaard, Karen

English

Syddansk Universitets Forskerportal

       University of Southern DenmarkIdentification of essential behavioral components in m-Health to optimize citizens engagementwith a physical activity appThe Intelligent Physical Exercise Training appSjöberg, Linnea Marie; Dalager, Tina; Sjøgaard, Gisela; Søgaard, Karen; Kaarsted, Thomas;Overgaard, Anne KathrinePublication date:2023Document version:Final published versionCitation for pulished version (APA):Sjöberg, L. M., Dalager, T., Sjøgaard, G., Søgaard, K., Kaarsted, T., & Overgaard, A. K. (2023). Identification ofessential behavioral components in m-Health to optimize citizens engagement with a physical activity app: TheIntelligent Physical Exercise Training app. Poster session presented at Citizen Science for Health Conference2023, Enschede, Netherlands.Go to publication entry in University of Southern Denmark's Research PortalTerms of useThis work is brought to you by the University of Southern Denmark.Unless otherwise specified it has been shared according to the terms for self-archiving.If no other license is stated, these terms apply:            • You may download this work for personal use only.            • You may not further distribute the material or use it for any profit-making activity or commercial gain            • You may freely distribute the URL identifying this open access versionIf you believe that this document breaches copyright please contact us providing details and we will investigate your claim.Please direct all enquiries to puresupport@bib.sdu.dkDownload date: 26. Oct. 2025Literature searchThe Intelligent Physical Exercise Training appTheprocess:Identification of essential behavioralcomponents in m-Health to optimizecitizens engagement with a physicalactivity app Themes Involving citizens WorkshopsRefined app Pilot studySurveys and interviews Implementation studyThe aim of the present study is to identify and design behavioral components through co-creation with citizens.Physical activity decreases the risk of more than 35 different disorders, but most adults are physically inactive. Aphysical activity m-Health app was developed offering individually tailored training programs based on work profile,physical capacity, musculoskeletal pain, and general health. Identifying behavioral components in the M-health appmay optimize engagement and efficacy.Tina Dalager(1), Linnea Marie Sjöberg(1,2), Gisela Sjøgaard(1), Anne Kathrine Overgaard(2), Thomas Kaarsted(2),and Karen Søgaard(1)1: Department of Sports Science and Clinical Biomechanics, University of Southern Denmark2: Citizen Science Knowledge Center, University of Southern DenmarkA systematic literature search on essentialthemes within app-design gave 929 hitsand 5 important themes emerged from 8selected references.1) Personal and tailored2)Feedback3) Simple to use4) Data security and privacy5) Support and socialThrough network and newsletters a total of77 citizens were recruited to test the firstversion of the app and share knowledge in aworkshop.Participants were employees at 2 Danishhospitals and the University of SouthernDenmark (SDU).A total of 5 workshops were conducted asthink aloud sessions: 2 workshops at thehospitals and 3 workshops at SDU.One month prior to the workshop citizensreceived: Information on downloading theapp, a package of resistance bands andencouragement to test the app.Output from ‘Think Aloud’ sessions was alist of prioritised behavioral components bythe citizens.The prioritised list was discussed with thetech company, who developed the IPET app.During the next months the content wasrefined in the app.A three month pilot study will beconducted with around 100-150 citizensrecruited at the 2 hospitals and SDU. Thecitizens are encouraged to exercise anduse the app for a minimum of 1 hour perweek.A survey will be send out before and afterthe pilot study, The survey evaluatescitizens engagement and different healtheffects. Additionally 5-10 citizens from theinitial workshops will be interviewedregarding the new app design.Data from the pilot study willinform the design of a largescale implementation study,where more employees at newworkplaces will be involved inco-creating the app.January-February 2023 March-April 2023March-April 2023 May 2023June-September 2023 October 2023-January 2024October 2023-February 2024

Identification of essential behavioral components in m-Health to optimize citizens engagement with a physical activity app:The Intelligent Physical Exercise Training app

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Identification of essential behavioral components in m-Health to optimize citizens engagement with a physical activity app:The Intelligent Physical Exercise Training app

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