A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)

Detalhes bibliográficos
Autor(a) principal: Marques, Marta M.
Data de Publicação: 2021
Outros Autores: Matos, Marcela, Mattila, Elina, Encantado, Jorge, Duarte, Cristiana, Teixeira, Pedro J., Stubbs, R. James, Sniehotta, Falko F., Ermes, Miikka, Harjumaa, Marja, Leppänen, Juha, Välkkynen, Pasi, Silva, Marlene N., Ferreira, Cláudia, Carvalho, Sérgio, Palmeira, Lara, Horgan, Graham, Heitmann, Berit Lilienthal, Evans, Elizabeth H., Palmeira, António L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/129674
Resumo: Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement number 643309. The materials presented and views expressed here are the responsibility of the authors only. The European Commission takes no responsibility for any use made of the information in this study. Funding Information: Background: Many weight loss programs show short-term effectiveness, but subsequent weight loss maintenance is difficult to achieve. Digital technologies offer a promising means of delivering behavior change approaches at low costs and on a wide scale. The Navigating to a Healthy Weight (NoHoW) project, which was funded by the European Union’s Horizon 2020 research and innovation program, aimed to develop, test, and evaluate a digital toolkit designed to promote successful long-term weight management. The toolkit was tested in an 18-month, large-scale, international, 2×2 factorial (motivation and self-regulation vs emotion regulation) randomized controlled trial that was conducted on adults with overweight or obesity who lost ≥5% of their body weight in the preceding 12 months before enrollment into the intervention. Objective: This paper aims to describe the development of the NoHoW Toolkit, focusing on the logic models, content, and specifications, as well as the results from user testing. Publisher Copyright: © 2021 Journal of Medical Internet Research. All rights reserved.
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spelling A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)Systematic Development and Refinement StudyBehavior change techniquesEmotion regulationLogic modelsMHealthMotivationSelf-monitoringSelf-regulationUser testingWeight managementHealth InformaticsSDG 3 - Good Health and Well-beingFunding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement number 643309. The materials presented and views expressed here are the responsibility of the authors only. The European Commission takes no responsibility for any use made of the information in this study. Funding Information: Background: Many weight loss programs show short-term effectiveness, but subsequent weight loss maintenance is difficult to achieve. Digital technologies offer a promising means of delivering behavior change approaches at low costs and on a wide scale. The Navigating to a Healthy Weight (NoHoW) project, which was funded by the European Union’s Horizon 2020 research and innovation program, aimed to develop, test, and evaluate a digital toolkit designed to promote successful long-term weight management. The toolkit was tested in an 18-month, large-scale, international, 2×2 factorial (motivation and self-regulation vs emotion regulation) randomized controlled trial that was conducted on adults with overweight or obesity who lost ≥5% of their body weight in the preceding 12 months before enrollment into the intervention. Objective: This paper aims to describe the development of the NoHoW Toolkit, focusing on the logic models, content, and specifications, as well as the results from user testing. Publisher Copyright: © 2021 Journal of Medical Internet Research. All rights reserved.Background: Many weight loss programs show short-term effectiveness, but subsequent weight loss maintenance is difficult to achieve. Digital technologies offer a promising means of delivering behavior change approaches at low costs and on a wide scale. The Navigating to a Healthy Weight (NoHoW) project, which was funded by the European Union’s Horizon 2020 research and innovation program, aimed to develop, test, and evaluate a digital toolkit designed to promote successful long-term weight management. The toolkit was tested in an 18-month, large-scale, international, 2×2 factorial (motivation and self-regulation vs emotion regulation) randomized controlled trial that was conducted on adults with overweight or obesity who lost ≥5% of their body weight in the preceding 12 months before enrollment into the intervention. Objective: This paper aims to describe the development of the NoHoW Toolkit, focusing on the logic models, content, and specifications, as well as the results from user testing. Methods: The toolkit was developed by using a systematic approach, which included the development of the theory-based logic models, the selection of behavior change techniques, the translation of these techniques into a web-based app (NoHoW Toolkit components), technical development, and the user evaluation and refinement of the toolkit. Results: The toolkit included a set of web-based tools and inputs from digital tracking devices (smart scales and activity trackers) and modules that targeted weight, physical activity, and dietary behaviors. The final toolkit comprised 34 sessions that were distributed through 15 modules and provided active content over a 4-month period. The motivation and self-regulation arm consisted of 8 modules (17 sessions), the emotion regulation arm was presented with 7 modules (17 sessions), and the combined arm received the full toolkit (15 modules; 34 sessions). The sessions included a range of implementations, such as videos, testimonies, and questionnaires. Furthermore, the toolkit contained 5 specific data tiles for monitoring weight, steps, healthy eating, mood, and sleep. Conclusions: A systematic approach to the development of digital solutions based on theory, evidence, and user testing may significantly contribute to the advancement of the science of behavior change and improve current solutions for sustained weight management. Testing the toolkit by using a 2×2 design provided a unique opportunity to examine the effect of motivation and self-regulation and emotion regulation separately, as well as the effect of their interaction in weight loss maintenance.Comprehensive Health Research Centre (CHRC) - pólo NMSNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNMarques, Marta M.Matos, MarcelaMattila, ElinaEncantado, JorgeDuarte, CristianaTeixeira, Pedro J.Stubbs, R. JamesSniehotta, Falko F.Ermes, MiikkaHarjumaa, MarjaLeppänen, JuhaVälkkynen, PasiSilva, Marlene N.Ferreira, CláudiaCarvalho, SérgioPalmeira, LaraHorgan, GrahamHeitmann, Berit LilienthalEvans, Elizabeth H.Palmeira, António L.2021-12-22T23:26:04Z2021-122021-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/129674engPURE: 35480267https://doi.org/10.2196/25305info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:08:45Zoai:run.unl.pt:10362/129674Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:37.064428Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
Systematic Development and Refinement Study
title A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
spellingShingle A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
Marques, Marta M.
Behavior change techniques
Emotion regulation
Logic models
MHealth
Motivation
Self-monitoring
Self-regulation
User testing
Weight management
Health Informatics
SDG 3 - Good Health and Well-being
title_short A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
title_full A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
title_fullStr A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
title_full_unstemmed A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
title_sort A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
author Marques, Marta M.
author_facet Marques, Marta M.
Matos, Marcela
Mattila, Elina
Encantado, Jorge
Duarte, Cristiana
Teixeira, Pedro J.
Stubbs, R. James
Sniehotta, Falko F.
Ermes, Miikka
Harjumaa, Marja
Leppänen, Juha
Välkkynen, Pasi
Silva, Marlene N.
Ferreira, Cláudia
Carvalho, Sérgio
Palmeira, Lara
Horgan, Graham
Heitmann, Berit Lilienthal
Evans, Elizabeth H.
Palmeira, António L.
author_role author
author2 Matos, Marcela
Mattila, Elina
Encantado, Jorge
Duarte, Cristiana
Teixeira, Pedro J.
Stubbs, R. James
Sniehotta, Falko F.
Ermes, Miikka
Harjumaa, Marja
Leppänen, Juha
Välkkynen, Pasi
Silva, Marlene N.
Ferreira, Cláudia
Carvalho, Sérgio
Palmeira, Lara
Horgan, Graham
Heitmann, Berit Lilienthal
Evans, Elizabeth H.
Palmeira, António L.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Comprehensive Health Research Centre (CHRC) - pólo NMS
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Marques, Marta M.
Matos, Marcela
Mattila, Elina
Encantado, Jorge
Duarte, Cristiana
Teixeira, Pedro J.
Stubbs, R. James
Sniehotta, Falko F.
Ermes, Miikka
Harjumaa, Marja
Leppänen, Juha
Välkkynen, Pasi
Silva, Marlene N.
Ferreira, Cláudia
Carvalho, Sérgio
Palmeira, Lara
Horgan, Graham
Heitmann, Berit Lilienthal
Evans, Elizabeth H.
Palmeira, António L.
dc.subject.por.fl_str_mv Behavior change techniques
Emotion regulation
Logic models
MHealth
Motivation
Self-monitoring
Self-regulation
User testing
Weight management
Health Informatics
SDG 3 - Good Health and Well-being
topic Behavior change techniques
Emotion regulation
Logic models
MHealth
Motivation
Self-monitoring
Self-regulation
User testing
Weight management
Health Informatics
SDG 3 - Good Health and Well-being
description Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement number 643309. The materials presented and views expressed here are the responsibility of the authors only. The European Commission takes no responsibility for any use made of the information in this study. Funding Information: Background: Many weight loss programs show short-term effectiveness, but subsequent weight loss maintenance is difficult to achieve. Digital technologies offer a promising means of delivering behavior change approaches at low costs and on a wide scale. The Navigating to a Healthy Weight (NoHoW) project, which was funded by the European Union’s Horizon 2020 research and innovation program, aimed to develop, test, and evaluate a digital toolkit designed to promote successful long-term weight management. The toolkit was tested in an 18-month, large-scale, international, 2×2 factorial (motivation and self-regulation vs emotion regulation) randomized controlled trial that was conducted on adults with overweight or obesity who lost ≥5% of their body weight in the preceding 12 months before enrollment into the intervention. Objective: This paper aims to describe the development of the NoHoW Toolkit, focusing on the logic models, content, and specifications, as well as the results from user testing. Publisher Copyright: © 2021 Journal of Medical Internet Research. All rights reserved.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-22T23:26:04Z
2021-12
2021-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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url http://hdl.handle.net/10362/129674
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PURE: 35480267
https://doi.org/10.2196/25305
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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