The overall aim of BigO is to collect and analyse big data on behaviour and living environments related to childhood obesity in order for public health authorities to plan and execute effective programs to reduce childhood obesity prevalence.
This is not because programs to reduce obesity do not exist, but because they are less effective than intended. In the EU, approximately 2.8 million deaths result from causes associated with overweight and obesity (easo.org).
Causes of obesity are complex, however evidence exist that interventions targeting multiple elements of children’s behavioural patterns and living environment are needed. Therefore BigO uses a multilevel approach (see the contextual model of BigO below).
To accomplish the main goal of effectively advising public health and clinicians, specific objectives have been set. These objective are divided into different domains.
These objectives of BigO are set to lead to several expected outcomes
- Allowing faster, pre-assessed, more efficient policy choices, all the way from the prevention front to the point-of-care level for already obese individuals.
- Teaching young European citizens about the principles of voluntarism, citizen science and public participation
- Increasing the awareness about healthy living, introducing students to the health-in-all-things mentality