Repository logo
 
Publication

Promoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior intervention

dc.contributor.authorPimenta, Nuno
dc.contributor.authorFélix, Isa Brito
dc.contributor.authorMonteiro, Diogo
dc.contributor.authorMarques, Marta Moreira
dc.contributor.authorGuerreiro, Mara Pereira
dc.date.accessioned2022-08-09T09:32:03Z
dc.date.available2022-08-09T09:32:03Z
dc.date.issued2022-07-12
dc.description.abstractIntroduction: Anthropomorphic conversational agents (ACA) are a promising digital tool to support self-management of type 2 diabetes (T2D), albeit little explored. There is a dearth of literature on the detailed content of these interventions, which may limit effectiveness and replication. Our aim is to describe the development of an evidence and theory-based intervention to improve physical activity in older adults with T2D, subsumed in a multi-behavior intervention via a mobile application with an ACA. Methods: Overall decisions on the multi-behavior intervention design, such as the use of standardized behavior change techniques (BCTTv1), guided the development of the physical activity component. Firstly, recommendations on ambulatory activity were used to select the target behavior (walking). Meta-research on effective behavior change techniques (BCTs) was then identified. One meta-analysis linked effective BCTs with the three basic psychological needs of the self-determination theory (SDT). This meta-analysis, taken together with additional evidence on SDT, led to the selection of this theory to inform the design. BCTs were extracted from meta-research; we selected the most appropriate to be operationalized via the conversational agent through multidisciplinary discussions. Rules governing the dialogue flow and BCTs tailoring, taking the form “if some conditions hold then execute some action,” were derived based on the Basic Psychological in Exercise Scale (competence, autonomy, and relatedness scores), in conjunction with published evidence and multidisciplinary discussions. Results: Thirteen BCTs were implemented in the prototype via the ACA (e.g., goal setting behavior 1.1). Six if-then rules were derived and depicted in the dialogue steps through process flow diagrams, which map how the system functions. An example of a rule is “If competence score ≤ 10 then, apply BCT 1.1 with 500 steps increments as options for the daily walking goal; If competence score > 10 then, apply BCT 1.1 with 1,000 steps increments as options for the daily walking goal.” Conclusion: Evidence and SDT were translated into a mobile application prototype using an ACA to promote physical activity in older adults with T2D. This approach, which includes 13 BCTs and six if-then rules for their tailoring, may leverage the efforts of others in developing similar interventions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/fpsyg.2022.883354pt_PT
dc.identifier.eid85134924010
dc.identifier.issn1664-1078
dc.identifier.pmcPMC9315349
dc.identifier.pmid35903740
dc.identifier.urihttp://hdl.handle.net/10400.14/38556
dc.identifier.wos000831775700001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBehavior change techniquespt_PT
dc.subjectConversational agentpt_PT
dc.subjectIntervention developmentpt_PT
dc.subjectOlder adultspt_PT
dc.subjectPhysical activitypt_PT
dc.subjectSelf-determination theorypt_PT
dc.subjectTpe 2 diabetespt_PT
dc.titlePromoting physical activity in older adults with type 2 diabetes via an anthropomorphic conversational agent: development of an evidence and theory-based multi-behavior interventionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFrontiers in Psychologypt_PT
oaire.citation.volume13pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
49442129.pdf
Size:
6.05 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.44 KB
Format:
Item-specific license agreed upon to submission
Description: