Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project

• Autor(a) principal: Stubbs, R. James
• Data de Publicação: 2021
• Outros Autores: Duarte, Cristiana, Palmeira, António L., Sniehotta, Falko F., Horgan, Graham, Larsen, Sofus C., Marques, Marta M., Evans, Elizabeth H., Ermes, Miikka, Harjumaa, Marja, Turicchi, Jake, O'Driscoll, Ruari, Scott, Sarah E, Pearson, Beth, Ramsey, Lauren, Mattila, Elina, Matos, Marcela, Sacher, Paul, Woodward, Euan, Mikkelsen, Marie-Louise, Sainsbury, Kirby, Santos, Inês, Encantado, Jorge, Stalker, Carol, Teixeira, Pedro J., Heitmann, Berit Lilienthal
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10316/105308; https://doi.org/10.1159/000515663
• topic: Emotion regulation; Information and communication technologies; Motivation; Obesity; Self-regulation; Weight loss maintenance; Adult; Behavior Therapy; Cost-Benefit Analysis; Energy Metabolism; Humans; Motivation; Weight Loss

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.