Abstract
The present work aimed to analyze, through the GlutenFreeDiet digital platform, the evolution over one year of the nutritional status, dietary profile and symptoms present among celiac people on a gluten-free diet (GFD) while receiving individualized dietary advice. Twenty-seven adults and thirty-one celiac children/adolescents participated in the study. This was then followed up by three visits, at diagnosis, and after 3 and 12 months (vt0, vt3 and vt12). Participants filled out dietary and gastrointestinal symptoms questionnaires. All patients received written personalized dietary advice from dietitians who interpreted data from the platform. Results obtained indicated that participants consumed proteins and lipids in excess and carbohydrates in defect. Low intakes of cereals, fruit and vegetables and high meat intakes were observed. However, gluten-free product (GFP) consumption and that of ultra-processed foods was reduced after 1 year in adults. Symptoms decreased after vt3 but recurred in vt12. Changes in ultra-processed foods and GFP intake, but lack of changes in the rest of the parameters suggested that the platform support was not effective enough. Even though the platform represents a useful tool for monitoring celiac patients and giving dietary advice, modules that require more continuous attention and nutritional education of patients should be provided for interventions to be more effective.
Highlights
Digital devices have changed the way we relate to others, including medical services
All parameters from all participants were under normal values at the beginning and no changes were observed after 1 year on a gluten-free diet (GFD)
Data obtained after 3 and 12 months on GFD did not indicate a modification of this dietary profile, with the exception of protein consumption among children, which increased after 3 months on GFD but turned to vt0 values after 1 year
Summary
Digital devices have changed the way we relate to others, including medical services. Due to the extended use of electronic devices among the population, access to eHealth platforms is widespread, and people who would otherwise have had less access through other means of communication, could be reached. These applications still have a long way to go, since issues such as the analysis of the results obtained in patients using these tools have been approached unevenly and with results that should be interpreted with caution [2,3]. Studies on these types of eHealth applications are becoming increasingly frequent [2]
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