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Socio-demographic determinants of physical activity and app usage from smartphone data.
Pontin, Francesca; Lomax, Nik; Clarke, Graham; Morris, Michelle A.
Affiliation
  • Pontin F; Leeds Institute for Data Analytics, University of Leeds, Level 11, Worsley Building, Clarendon Way, Leeds, LS2 9JT, United Kingdom; School of Geography, Garstang North, University of Leeds, LS2 9JT, United Kingdom. Electronic address: F.L.Pontin@leeds.ac.uk.
  • Lomax N; Leeds Institute for Data Analytics, University of Leeds, Level 11, Worsley Building, Clarendon Way, Leeds, LS2 9JT, United Kingdom; School of Geography, Garstang North, University of Leeds, LS2 9JT, United Kingdom. Electronic address: N.M.Lomax@leeds.ac.uk.
  • Clarke G; School of Geography, Garstang North, University of Leeds, LS2 9JT, United Kingdom. Electronic address: G.P.Clarke@leeds.ac.uk.
  • Morris MA; Leeds Institute for Data Analytics, University of Leeds, Level 11, Worsley Building, Clarendon Way, Leeds, LS2 9JT, United Kingdom; School of Medicine, Worsley Building, University of Leeds, Clarendon Way, Leeds, LS2 9JT, United Kingdom. Electronic address: M.Morris@leeds.ac.uk.
Soc Sci Med ; 284: 114235, 2021 09.
Article in En | MEDLINE | ID: mdl-34311392
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mobile Applications / Smartphone Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Soc Sci Med Year: 2021 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mobile Applications / Smartphone Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Soc Sci Med Year: 2021 Document type: Article