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Investigating psychological variables for technologies promoting physical activity

dc.contributor.authorRick, Patricia
dc.contributor.authorSánchez Martin, Milagrosa 
dc.contributor.authorSingh, Aneesha
dc.contributor.authorNavas León, Sergio
dc.contributor.authorBorda Mas, Mercedes
dc.contributor.authorBianchi Berthouze, Nadia
dc.contributor.authorTajadura Jiménez, Ana
dc.date.accessioned2024-02-02T14:05:08Z
dc.date.available2024-02-02T14:05:08Z
dc.date.issued2022
dc.identifier.citationRick P, Sánchez-Martín M, Singh A, et al. Investigating psychological variables for technologies promoting physical activity. DIGITAL HEALTH. 2022;8. doi:10.1177/20552076221116559es
dc.identifier.issn2055-2076
dc.identifier.urihttps://hdl.handle.net/20.500.12412/5016
dc.description.abstractBackground. Many technological interventions designed to promote physical activity (PA) have limited efficacy and appear to lack important factors that could increase engagement. This may be due to a discrepancy between research conducted in this space, and software designers’ and developers’ use of this research to inform new digital applications. Objectives. This study aimed to identify (1) what are the variables that act as barriers and facilitators to PA and (2) which PA variables are currently considered in the design of technologies promoting PA including psychological, physical, and personal/contextual ones which are critical in promoting PA. We emphasize psychological variables in this work because of their sparse and often simplistic integration in digital applications for PA. Methods. We conducted two systematized reviews on PA variables, using PsycInfo and Association for Computing Machinery Digital Libraries for objectives 1 and 2. Results. We identified 38 PA variables (mostly psychological ones) including barriers/facilitators in the literature. 17 of those variables were considered when developing digital applications for PA. Only few studies evaluate PA levels in relation to these variables. The same barriers are reported for all weight groups, though some barriers are stronger in people with obesity. Conclusions. We identify PA variables and illustrate the lack of consideration of these in the design of PA technologies. Digital applications to promote PA may have limited efficacy if they do not address variables acting as facilitators or barriers to participation in PA, and that are important to people representing a range of body weight characteristics.es
dc.description.sponsorshipThis work was supported by the Spanish Agencia Estatal de Investigación project grants “Magic Shoes” (PSI2016-79004-R/AEI/FEDER, UE) and “MAGIC outFIT” grant (MCIN/AEI/10.13039/501100011033/; project id PID2019-105579RB-I00), and by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101002711). AT was supported by the RYC-2014–15421 grant from the “Ministerio de Economía, Industria y Competitividad”. SNL was supported by the FPU program from the Spanish Ministerio de Educación, Cultura y Deporte (FPU20/00089).es
dc.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleInvestigating psychological variables for technologies promoting physical activityes
dc.typearticlees
dc.journal.titleDigital Healthes
dc.relation.referenceshttps://doi.org/10.1177/20552076221116559es
dc.rights.accessRightsopenAccesses
dc.subject.keywordPhysical activityes
dc.subject.keywordExercisees
dc.subject.keywordPsychologyes
dc.subject.keywordBarrierses
dc.subject.keywordFacilitatorses
dc.subject.keywordObesityes
dc.subject.keywordBody weightes
dc.subject.keywordSelf-care technologieses
dc.subject.keywordBehavior changees
dc.volume.number8es


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