论文标题
Bigo：一种用于测量儿童肥胖行为与当地环境有关的公共卫生决策支持系统
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
论文作者
论文摘要
肥胖是一种复杂的疾病，其患病率取决于与个人社会经济，文化和城市环境有关的多种因素。但是，许多预防肥胖策略和政策是水平措施，不取决于上下文特定的证据。在本文中，我们介绍了Bigo（http://bigprogram.eu）的概述，该系统旨在从儿童和青少年种群中收集客观行为数据及其环境，以支持公共卫生机构制定有效的，上下文特定的政策和干预措施，以解决儿童肥胖。我们概述了BIGO系统的数据获取，指标提取，数据探索和分析组件，以及其在四个欧洲国家的33所学校和2家诊所的初步试点申请的帐户，涉及4,200多名参与者。
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.
