A Theory- And Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit)
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , , , , |
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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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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article |
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http://hdl.handle.net/10362/129674 |
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eng |
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eng |
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PURE: 35480267 https://doi.org/10.2196/25305 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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