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BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
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File | Description | Size | Format | |
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insight_publication.pdf | 867.01 KB |
Date Issued
24 July 2020
Date Available
12T12:28:44Z March 2021
Abstract
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.
Sponsorship
European Commission
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Copyright (Published Version)
2020 IEEE
Web versions
Language
English
Status of Item
Peer reviewed
Part of
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020
Description
The 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), EMBS Virtual Academy, 20-24 July 2020
This item is made available under a Creative Commons License
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