Big Data Against Childhood Obesity

Children and adolescents with obesity have a higher risk of developing future disease compared to children without obesity. The reasons why some children develop obesity are complex, and behaviour, the living environment, and public health policies all play a role. BigO collected and analysed anonymous data on children’s behavioural patterns and their living environment. With advanced analytics BigO extracted data-driven evidence on which local factors are involved, and how these factors influence childhood obesity in Europe.

Funder

European Commission Horizon 2020.

ORCG Staff Member and Role

Grace O’Malley as Co-investigator.

Aim

The overall aim of BigO was to collect and analyse big data on behaviour and living environments related to childhood obesity. This will allow public health authorities to plan and execute effective programs to reduce the prevalence of childhood obesity.

Collaborator Organisations

Temple Street Chilren’s University Hospital; Aristotle University of Thessaloniki; Karolinska Institutet; International Hellenic University; Ellinogermaniki Agogi Scholi Panagea Savva SA; Cosmote Kinites Tilepikoinonies AE; Internationella Engelska Skolan Sverige AB;Wageningen University & Research,
University College Dublin, National University of Ireland, Dublin; MYSPHERA SL; Biomedical Research Foundation, Academy of Athens.