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Personalized health, elearning, and mhealth interventions to improve nutritional status

Personalized health, elearning, and mhealth interventions to improve nutritional status

Gasch, Margarete, Dunleavy, Gerard J., Kyaw, Bhone M., Lean, Michael E. J. and Nikolaou, Charoula K. ORCID: 0000-0001-6519-4174 (2016) Personalized health, elearning, and mhealth interventions to improve nutritional status. Current Nutrition Reports, 5 (4). pp. 295-306. ISSN 2161-3311 (Online) (doi:https://doi.org/10.1007/s13668-016-0184-4)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: eHealth, personalised Medicine, mobile health, nutrition, obesity, weight
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Last Modified: 10 Jan 2020 12:50
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/26586

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