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.
Last week, the BigO project was presented during a public webinar of FoodSHIFT2030. FoodSHIFT2030 is a project that aims to launch an ambitious citizen-driven transition of the European food system towards a low carbon circular future, including a shift to less meat and more plant based diets. Therefore, the FoodSHIFT2030 approach focuses on supporting innovation…Read more >
Recently, Katerina Riviou and Ioannis Ioakeimidis talked to each about how the BigO project went. They talk about the lessons they learned from the project. In addition, they discuss all the challenges that come with performing such a big research project in schools. Especially during the current Covid-19 pandemic. Watch the video below to learn…Read more >
Last year, the Britisch Feeding and Drinking Group (BFDG) cancled the 44th Annual Meeting because of the current pandemic. However, the abstracts of the conference are now available online. They can be access via the following link: https://www.sciencedirect.com/science/article/pii/S0195666320313076. BigO submitted an abstract to this conference, which was titled ‘BigO: A public health decision support system…Read more >