A Delphi study to build consensus on the definition and use of big data in obesity research.

Vogel, Christina; Zwolinsky, Stephen; Griffiths, Claire; Hobbs, Matthew; Henderson, Emily; Wilkins, Emma

Vogel, Christina; Zwolinsky, Stephen; Griffiths, Claire; Hobbs, Matthew; Henderson, Emily; Wilkins, Emma.

Afiliação

Vogel C; MRC Lifecourse Epidemiology Unit, University of Southampton, SO16 6YD, Southampton, UK. cv@mrc.soton.ac.uk.
Zwolinsky S; School of Sport, Leeds Beckett University, LS6 3QQ, Leeds, UK.
Griffiths C; School of Sport, Leeds Beckett University, LS6 3QQ, Leeds, UK.
Hobbs M; GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.
Henderson E; Institute of Health & Society, Newcastle University, Newcastle-upon-Tyne, NE1 4LP, UK.
Wilkins E; School of Sport, Leeds Beckett University, LS6 3QQ, Leeds, UK.

Int J Obes (Lond) ; 43(12): 2573-2586, 2019 12.

Article em En | MEDLINE | ID: mdl-30655580

Assuntos

Big Data; Pesquisa Biomédica; Obesidade; Adulto; Consenso; Técnica Delphi; Feminino; Humanos; Masculino; Pessoa de Meia-Idade; Projetos de Pesquisa

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Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Pesquisa Biomédica / Big Data / Obesidade Tipo de estudo: Guideline / Qualitative_research Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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