Ziel
Most adults who try to lose weight fail to maintain it. Obesity is a key economic and healthcare challenge for Europe. Effective interventions and commercial programmes for weight loss are widely available, but most people re-gain their lost weight. Currently few comprehensive solutions exist to help Europeans manage weight loss maintenance (WLM).
Current research suggests the most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action control, building self-efficacy and intrinsic motivation. Recent research also suggests that stress management and emotion regulation skills are key enablers of relapse prevention and weight-regain.
Information technology offers attractive tools for teaching and supporting these techniques, some of which are currently delivered through resource-intensive face-to-face therapies. ICT-delivery includes networked-wireless tracking technologies, weighing-scales and activity sensors, online tools and smart-phone apps, multi-media resources and internet-based support. A broad choice of tools is most likely to be acceptable to users, who can pick and choose their own preferred technologies.
The NoHoW project tests whether ICT-based delivery of the most promising evidence-based behavior change techniques is effective for WLM. We will carry out a large-scale international 3-centre trial of information technology tools that implement the most up-to-date behavioural science research. This trial will establish the effectiveness of these ICT tools in supporting WLM, linked to studies of European consumer needs and behaviour.
Impact: The project will directly feed results into development of new products and services from the UK’s largest commercial weight-loss provider, Slimming World providing immediate benefit to 500,000+ consumers. Commercialisation of project results will provide much needed WLM services that promote health education and long-term weight management programmes.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- medical and health scienceshealth sciencesnutritionobesity
Programm/Programme
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-PHC-2014-single-stage
Finanzierungsplan
RIA - Research and Innovation actionKoordinator
3400 Hillerod
Dänemark