Exploring Associations Between Children's Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard.
Dimitris FilosIrini LekkaVasileios KilintzisLeandros StefanopoulosYoula KaravidopoulouChristos MaramisChristos DiouIoannis SarafisVasileios PapapanagiotouLeonidas AlagialoglouIoannis IoakeimidisMaria HassapidouEvangelia CharmandariRachel HeimeierGrace C O'MalleyShane O'DonnellGerardine Anne DoyleAnastasios DelopoulosNikolaos MaglaverasPublished in: JMIR mHealth and uHealth (2021)
Our analyses serve as an initial investigation using the OPdashboard. Additional factors must be incorporated in order to optimize its use and obtain a clearer understanding of the results. The unique big data that are available through the OPdashboard can lead to the implementation of models that are able to predict population behavior. The OPdashboard can be considered as a tool that will increase our understanding of the underlying factors in childhood obesity and inform the design of regional interventions both for prevention and treatment.