School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom,
School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom.
Obes Facts. 2021;14(3):320-333. doi: 10.1159/000515663. Epub 2021 Apr 29.
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.
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.
有效的减肥（WL）干预措施和商业计划广泛可用，但大多数人会体重反弹。目前，有效的减肥维持（WLM）解决方案很少。最有前途的基于循证的行为改变技术用于 WLM 是自我监测、目标设定、行动计划和控制、建立自我效能感，以及促进自主动机的技术（例如提供选择）。压力管理和情绪调节技术显示出预防复发和体重反弹的潜力。数字技术（包括联网无线跟踪技术、在线工具和智能手机应用程序、多媒体资源以及基于互联网的支持）为教授和支持长期行为改变技术提供了有吸引力的工具。然而，许多用于体重管理的数字产品往往不包括基于证据的内容，并且证据基础仍然有限。该项目：首先，该项目研究了为什么、何时以及有多少欧洲公民尝试 WL 和 WLM，以及他们的成功程度。其次，该项目采用了最新的行为科学研究，根据 2 个关键条件，即行为的自我管理（自我调节和动机）和 WLM 的情绪反应的自我管理，为 WLM 开发了一个数字工具包。然后，NoHoW 试验测试了这个数字工具包在过去 12 个月内体重有临床意义（≥5%）减轻（初始 BMI≥25）的成年人中的疗效。主要结果是从基线开始 12 个月时体重（kg）的变化。次要结果包括生物、心理和行为方面的长期能量平衡（EB）行为的调节剂和介质，以及用户体验、可接受性和成本效益。
该项目将直接将欧洲消费者行为研究、数字工具包自我管理 EB 行为的设计和评估的结果纳入 WLM 和数字健康新产品和服务的开发中。该项目为 EB 跟踪背景下的干预措施开发了一个框架和数字架构，并将产生有助于为有效管理体重和健康提供个性化干预措施的下一代结果。
