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.
The BRFAA team in Athens will present three abstracts at the upcoming European Society for Paediatric Endocrinology Meeting, held online from 22-26 September 2021. These are the titles of the abstracts: Evaluation of the BigO system in a clinical setting in Greece (Ref. No.: 262, presented by Athanasia Tragomalou) Evaluation of the BigO system during…Read more >
BigO will be featured in three presentations at the upcoming 2nd International Conference on Children’s Well-being, held 9-11 July. The theme of the conference is “Children’s well-being and perspectives on its enhancement”. These are the abstracts from the Athens team: Evaluation of Big Data Methodologies for the prevention and management of overweight and obesity in…Read more >
Congratulations to Niamh Arthurs from University College Dublin who presented ‘Big Data Collection in Vulnerable Populations: Application to Real World Clinical and Public Health Settings’ at the European Congress on Obesity, held online from 10-13 May, 2021. You can view the presentation on our YouTube channel here: https://youtu.be/98q9OBjHLHoRead more >