The emergence of evidence pointing at diet as key risk factor for chronic diseases and at gene-diet interactions as key elements in the interplay between an individual genetic background and his/her lifestyle, pave the way for studies in nutrigenomics. Such studies need an integrated solution to collect, monitor and analyse a large set of data. In this thesis, in the frame of ATHENA, a European Commission FP7 project, an integrated platform, called Dietary Monitoring Solution, was designed and developed to enable the collection of phenotypic, genetic and lifestyle information. The solution comprised a web-based platform to be used by healthcare professionals linked to a mHealth application tool for the data collection on the patient side. The data collection solution allows maintaining anonymized information and supports a number of features making it particularly suited for multicentre studies. The mHealth application was designed to translate the knowledge generated from research into a personalised prevention programme and to support the patient adherence to the programme.
DMS diet monitoring system : una soluzione mobile per la ricerca nutrigenomica
TAURO, VITTORIO
2014/2015
Abstract
The emergence of evidence pointing at diet as key risk factor for chronic diseases and at gene-diet interactions as key elements in the interplay between an individual genetic background and his/her lifestyle, pave the way for studies in nutrigenomics. Such studies need an integrated solution to collect, monitor and analyse a large set of data. In this thesis, in the frame of ATHENA, a European Commission FP7 project, an integrated platform, called Dietary Monitoring Solution, was designed and developed to enable the collection of phenotypic, genetic and lifestyle information. The solution comprised a web-based platform to be used by healthcare professionals linked to a mHealth application tool for the data collection on the patient side. The data collection solution allows maintaining anonymized information and supports a number of features making it particularly suited for multicentre studies. The mHealth application was designed to translate the knowledge generated from research into a personalised prevention programme and to support the patient adherence to the programme.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/108964