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.
News item about the ePoster presentation at the 58th Annual Meeting of the European Society of Paediatric Endocrinology (ESPE) 2019 in Vienna, Austria. Penio Kassari presented the results of a clinical pilot study on the use of BigO technology to record objective food and behavioural data of overweight and obese children and adults.Read more >
Hello, we are five students (Dries, Naomi, Lisanne, Marije en Tessa) from Het Streek Bovenbuurtweg (Ede, The Netherlands). We are in our fourth year of pre-university education. For our O&O class we were given the assignment to put together a lesson program consisting of two lessons, based on the BigO-app. We had to give those…Read more >
On June 6th, 2019 researchers from the BigO project were present during the annual meeting of the International Society of Behavioral Nutrition and Physical Activity (ISBNPA) in Prague. During this conference, the BigO researchers presented the project during the symposium entitled: ‘Use of Behavioural Big Data and Citizen Science to enrich scientific data on (un)healthy…Read more >