11 research outputs found
Iterative development of Vegethon: a theory-based mobile app intervention to increase vegetable consumption
Agile research to complement agile development: a proposal for an mHealth research lifecycle
Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management
Evaluating human-centred design for public health: a case study on developing a healthcare app with refugee communities
Personalized health, elearning, and mhealth interventions to improve nutritional status
Personalised health through nutrition has been made possible by recent advances in technology. We ran a search strategy in July 2016 to identify all existing studies on mobile/eLearning randomized controlled interventions designed to improve diet, nutrition and/or body weight in adults, at individual or community level. A total of 22 studies met the inclusion and exclusion criteria for inclusion. Most studies found that integrations of technology for delivering and personalizing interventions on diet/nutrition and/or body weight were effective in reducing body-weight in overweight/obese populations (n = 8), preventing weight gain n = 4) and improving certain dietary habits (n = 10). The low cost of eHealth/mHealth interventions and their potential to reach large, sometimes hard-to-reach young population sectors makes them attractive targets for upscaling