Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project
Background: Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action...
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Format: | Article |
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Karger Publishers
2021-04-01
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Series: | Obesity Facts |
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Online Access: | https://www.karger.com/Article/FullText/515663 |
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doaj-2008a0652fda4ad7b6a46572b05a2b25 |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
R. James Stubbs Cristiana Duarte António L. Palmeira Falko F. Sniehotta Graham Horgan Sofus C. Larsen Marta M. Marques Elizabeth H. Evans Miikka Ermes Marja Harjumaa Jake Turicchi Ruari O’Driscoll Sarah E. Scott Beth Pearson Lauren Ramsey Elina Mattila Marcela Matos Paul Sacher Euan Woodward Marie-Louise Mikkelsen Kirby Sainsbury Inês Santos Jorge Encantado Carol Stalker Pedro J. Teixeira Berit Lilienthal Heitmann |
spellingShingle |
R. James Stubbs Cristiana Duarte António L. Palmeira Falko F. Sniehotta Graham Horgan Sofus C. Larsen Marta M. Marques Elizabeth H. Evans Miikka Ermes Marja Harjumaa Jake Turicchi Ruari O’Driscoll Sarah E. Scott Beth Pearson Lauren Ramsey Elina Mattila Marcela Matos Paul Sacher Euan Woodward Marie-Louise Mikkelsen Kirby Sainsbury Inês Santos Jorge Encantado Carol Stalker Pedro J. Teixeira Berit Lilienthal Heitmann Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project Obesity Facts emotion regulation information and communication technologies motivation obesity self-regulation weight loss maintenance |
author_facet |
R. James Stubbs Cristiana Duarte António L. Palmeira Falko F. Sniehotta Graham Horgan Sofus C. Larsen Marta M. Marques Elizabeth H. Evans Miikka Ermes Marja Harjumaa Jake Turicchi Ruari O’Driscoll Sarah E. Scott Beth Pearson Lauren Ramsey Elina Mattila Marcela Matos Paul Sacher Euan Woodward Marie-Louise Mikkelsen Kirby Sainsbury Inês Santos Jorge Encantado Carol Stalker Pedro J. Teixeira Berit Lilienthal Heitmann |
author_sort |
R. James Stubbs |
title |
Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project |
title_short |
Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project |
title_full |
Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project |
title_fullStr |
Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project |
title_full_unstemmed |
Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project |
title_sort |
evidence-based digital tools for weight loss maintenance: the nohow project |
publisher |
Karger Publishers |
series |
Obesity Facts |
issn |
1662-4025 1662-4033 |
publishDate |
2021-04-01 |
description |
Background: Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. The Project: First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. Impact: The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health. |
topic |
emotion regulation information and communication technologies motivation obesity self-regulation weight loss maintenance |
url |
https://www.karger.com/Article/FullText/515663 |
work_keys_str_mv |
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doaj-2008a0652fda4ad7b6a46572b05a2b252021-06-15T12:13:13ZengKarger PublishersObesity Facts1662-40251662-40332021-04-0111410.1159/000515663515663Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW ProjectR. James Stubbs0Cristiana Duarte1António L. Palmeira2Falko F. Sniehotta3Graham Horgan4Sofus C. Larsen5Marta M. Marques6Elizabeth H. Evans7Miikka Ermes8Marja Harjumaa9Jake Turicchi10Ruari O’Driscoll11Sarah E. Scott12Beth Pearson13Lauren Ramsey14Elina Mattila15Marcela Matos16Paul Sacher17Euan Woodward18Marie-Louise Mikkelsen19Kirby Sainsbury20Inês Santos21Jorge Encantado22Carol Stalker23Pedro J. Teixeira24Berit Lilienthal Heitmann25School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United KingdomSchool of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United KingdomInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, PortugalPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United KingdomBiomathematics and Statistics Scotland (James Hutton Institute), Aberdeen, United KingdomResearch Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Frederiksberg, DenmarkTrinity Centre for Practice and Healthcare Innovation and ADAPT Centre, Trinity College Dublin, Dublin, IrelandPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United KingdomVTT Technical Research Centre of Finland, Espoo, FinlandVTT Technical Research Centre of Finland, Espoo, FinlandSchool of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United KingdomSchool of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United KingdomSchool of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United KingdomSchool of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United KingdomSchool of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United KingdomVTT Technical Research Centre of Finland, Espoo, FinlandCenter for Research in Neuropsychology and Cognitive and Behavioral Intervention, University of Coimbra, Coimbra, PortugalChildhood Nutrition Research Centre, University College London, London, United KingdomEuropean Association for the Study of Obesity, Teddington, United KingdomResearch Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Frederiksberg, DenmarkPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United KingdomInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, PortugalInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, PortugalCollege of Life and Natural Sciences, University of Derby, Derby, United KingdomInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, PortugalResearch Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Frederiksberg, DenmarkBackground: Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. The Project: First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. Impact: The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.https://www.karger.com/Article/FullText/515663emotion regulationinformation and communication technologiesmotivationobesityself-regulationweight loss maintenance |