BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment.
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ISSN: 2694-0604
Titre abrégé: Annu Int Conf IEEE Eng Med Biol Soc
Pays: United States
ID NLM: 101763872
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
entrez:
6
10
2020
pubmed:
7
10
2020
medline:
28
10
2020
Statut:
ppublish
Résumé
Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural and urban context of individuals. Many obesity prevention strategies and policies, however, are horizontal measures that do not depend on context-specific evidence. In this paper we present an overview of BigO (http://bigoprogram.eu), a system designed to collect objective behavioral data from children and adolescent populations as well as their environment in order to support public health authorities in formulating effective, context-specific policies and interventions addressing childhood obesity. We present an overview of the data acquisition, indicator extraction, data exploration and analysis components of the BigO system, as well as an account of its preliminary pilot application in 33 schools and 2 clinics in four European countries, involving over 4,200 participants.
Identifiants
pubmed: 33019308
doi: 10.1109/EMBC44109.2020.9175361
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM