Big data against childhood Obesity
Children and adolescents with obesity have a higher risk of developing various diseases later on, compared to children without obesity. The reasons why some children become obese are complex, and behaviour, the living environment, and public health policies all play a role. BigO collects and analyses anonymous data on children's behavioural patterns and their living environment. With advanced analytics BigO extracts data-driven evidence on which local factors are involved, and how these factors influence childhood obesity in Europe.
With this information BigO will be able to advice clinics and public health authorities on how to develop and plan effective programs and policies in an attempt to reduce childhood obesity.
A new scientific publication on the use of a smartphone app for monitoring dietary habits in the journal JMIR mHealth and uHealth. The paper is titled, “Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study”. This study aimed to evaluate a newly developed mHealth…Read more >
On 9-11 October the 13th State of the Art Adolescent Health/Medicine Course took place. BigO got the opportunity to contribute to this virtual conference. The oral presentation given, was titled, “BigO: Collecting Big Data with the use of New Technologies for the Management of Overweight and Obesity in Childhood and Adolescence-A Clinical Study in Greece”.…Read more >
Last week, the Department of Nutrition & Dietetics of the International University of Greece organized the 13th Macedonian Conference on Nutrition and Dietetics. More than 500 delegates attended this online conference. The first day of the conference, Christos Diou presented the BigO project. He discussed the methods and prospects of BigO for use in public…Read more >