Difference between revisions of "Publications:Digital interventions in self-determined exercise motivation -- interdisciplinary innovations"

From ISLAB/CAISR
(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Karin Weman Josefsson, Fawzi Halila, Urban Johnson, Nicholas Wickström, Po...")
 
 
(One intermediate revision by one user not shown)
Line 4: Line 4:
 
{{PublicationSetupTemplate|Author=Karin Weman Josefsson, Fawzi Halila, Urban Johnson, Nicholas Wickström, Pontus Wärnestål
 
{{PublicationSetupTemplate|Author=Karin Weman Josefsson, Fawzi Halila, Urban Johnson, Nicholas Wickström, Pontus Wärnestål
 
|PID=860277
 
|PID=860277
−
|Name=Weman Josefsson, Karin [karjos] (Högskolan i Halmstad [2804], Akademin för hälsa och välfärd [16903], Centrum för forskning om välfärd, hälsa och idrott (CVHI) [3927]);Halila, Fawzi [faha] (Högskolan i Halmstad [2804], Akademin för ekonomi, teknik och naturvetenskap [16901], Centrum för innovations-, entreprenörskaps- och lärandeforskning (CIEL) [3908]);Johnson, Urban [urjo] (Högskolan i Halmstad [2804], Akademin för hälsa och välfärd [16903], Centrum för forskning om välfärd, hälsa och idrott (CVHI) [3927], Idrott, hälsa och fysisk aktivitet [6705]);Wickström, Nicholas [nicholas] (Högskolan i Halmstad [2804], Akademin för informationsteknologi [16904], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], CAISR Centrum för tillämpade intelligenta system (IS-lab) [13650]);Wärnestål, Pontus [ponwar] [0000-0002-2791-6647] (Högskolan i Halmstad [2804], Akademin för informationsteknologi [16904], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Människa och Informationsteknologi (MI-lab) [4550])
+
|Name=Weman Josefsson, Karin (karjos) (Högskolan i Halmstad (2804), Akademin för hälsa och välfärd (16903), Centrum för forskning om välfärd, hälsa och idrott (CVHI) (3927));Halila, Fawzi (faha) (Högskolan i Halmstad (2804), Akademin för ekonomi, teknik och naturvetenskap (16901), Centrum för innovations-, entreprenörskaps- och lärandeforskning (CIEL) (3908));Johnson, Urban (urjo) (Högskolan i Halmstad (2804), Akademin för hälsa och välfärd (16903), Centrum för forskning om välfärd, hälsa och idrott (CVHI) (3927), Idrott, hälsa och fysisk aktivitet (6705));Wickström, Nicholas (nicholas) (0000-0002-4143-2948) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Wärnestål, Pontus (ponwar) (0000-0002-2791-6647) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Människa och Informationsteknologi (MI-lab) (4550))
 
|Title=Digital interventions in self-determined exercise motivation – interdisciplinary innovations
 
|Title=Digital interventions in self-determined exercise motivation – interdisciplinary innovations
 
|PublicationType=Conference Paper
 
|PublicationType=Conference Paper
Line 14: Line 14:
 
|Volume=
 
|Volume=
 
|Issue=
 
|Issue=
−
|HostPublication=Edinburgh 2015 : ISBNPA: International Society for Behavioral Nutrition and Physical Activity: Advancing Behavior Change Science: 3rd – 6th June 2015: Abstract Book
+
|HostPublication=ISBNPA 2015 : Advancing Behavior Change Science : 3rd – 6th June 2015: Abstract Book
−
|Conference=International Society for Behavioral Nutrition and Physical Activity (ISBNPA) 14th Congress, Edinburgh, Scotland, 3-6 June, 2015
+
|Conference=ISBNPA 2015 - Conference for International Society for Behavioral Nutrition and Physical Activity, Advancing Behavior Change Science, 3rd - 6th June, 2015, Edinburgh, Scotland
 
|StartPage=592
 
|StartPage=592
 
|EndPage=592
 
|EndPage=592
Line 40: Line 40:
 
|Projects=
 
|Projects=
 
|Notes=<p>Poster P3.116</p>
 
|Notes=<p>Poster P3.116</p>
−
|Abstract=<p>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 &gt; 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.</p>
+
|Abstract=<p><strong>Purpose</strong>: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.</p><p><strong>Methods</strong>: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.</p><p><strong>Expected Results</strong>: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.</p><p><strong>Conclusions</strong>: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.</p>
 
|Opponents=
 
|Opponents=
 
|Supervisors=
 
|Supervisors=
Line 55: Line 55:
 
|CreatedDate=2015-10-12
 
|CreatedDate=2015-10-12
 
|PublicationDate=2015-10-12
 
|PublicationDate=2015-10-12
−
|LastUpdated=2015-10-12
+
|LastUpdated=2016-03-09
 
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:860277}}
 
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:860277}}
 
<div style='display: none'>
 
<div style='display: none'>

Latest revision as of 21:39, 30 September 2016

Do not edit this section

Keep all hand-made modifications below

Title Digital interventions in self-determined exercise motivation – interdisciplinary innovations
Author Karin Weman Josefsson and Fawzi Halila and Urban Johnson and Nicholas Wickström and Pontus Wärnestål
Year 2015
PublicationType Conference Paper
Journal
HostPublication ISBNPA 2015 : Advancing Behavior Change Science : 3rd – 6th June 2015: Abstract Book
Conference ISBNPA 2015 - Conference for International Society for Behavioral Nutrition and Physical Activity, Advancing Behavior Change Science, 3rd - 6th June, 2015, Edinburgh, Scotland
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:860277
Abstract 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.
Retrieved from "https://wiki.hh.se/caisr/index.php?title=Publications:Digital_interventions_in_self-determined_exercise_motivation_--_interdisciplinary_innovations&oldid=2830"