Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults.

Abdul Jabbar, Khalid; Sarvestan, Javad; Zia Ur Rehman, Rana; Lord, Sue; Kerse, Ngaire; Teh, Ruth; Del Din, Silvia

Abdul Jabbar, Khalid; Sarvestan, Javad; Zia Ur Rehman, Rana; Lord, Sue; Kerse, Ngaire; Teh, Ruth; Del Din, Silvia.

Afiliación

Abdul Jabbar K; School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.
Sarvestan J; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Zia Ur Rehman R; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Lord S; Janssen Research & Development, High Wycombe HP12 4EG, UK.
Kerse N; School of Clinical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
Teh R; School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.
Del Din S; School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.

Sensors (Basel) ; 23(10)2023 May 09.

Article en En | MEDLINE | ID: mdl-37430519

Asunto(s)

Vida Independiente; Conducta Sedentaria; Humanos; Anciano; Algoritmos; Dorso; Sedestación

Palabras clave

digital health; older adults; real-world; sedentary behaviour; validation; wearable device

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducta Sedentaria / Vida Independiente Tipo de estudio: Prognostic_studies Límite: Aged / Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Nueva Zelanda

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