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Rethinking the sleep-health link.
Matricciani, Lisa; Bin, Yu Sun; Lallukka, Tea; Kronholm, Erkki; Wake, Melissa; Paquet, Catherine; Dumuid, Dorothea; Olds, Tim.
Afiliación
  • Matricciani L; Sansom Institute, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia; Murdoch Children's Research Institute, Melbourne, Australia. Electronic address: Matla005@mymail.unisa.edu.au.
  • Bin YS; Sleep Group, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia; Central Clinical School, Sydney Medical School, NSW, Australia.
  • Lallukka T; Finnish Institute of Occupational Health, Helsinki, Finland.
  • Kronholm E; Finnish Institute of Occupational Health, Helsinki, Finland.
  • Wake M; Murdoch Children's Research Institute, Melbourne, Australia; The University of Melbourne, Parkville, VIC, Australia; The University of Auckland, Grafton, Auckland, New Zealand.
  • Paquet C; Sansom Institute, Centre for Population Health Research, University of South Australia, Adelaide, SA, Australia.
  • Dumuid D; Sansom Institute, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia.
  • Olds T; Sansom Institute, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia; Murdoch Children's Research Institute, Melbourne, Australia.
Sleep Health ; 4(4): 339-348, 2018 08.
Article en En | MEDLINE | ID: mdl-30031526
Sleep is important for the physical, social and mental well-being of both children and adults. In this paper, we discuss the need to consider sleep as a multidimensional construct and as a component of total 24-hour activity. First, we make a case for considering sleep as a multidimensional construct, whereby all characteristics of sleep (including duration, quality, timing, and variability) and their links with health are examined. Second, we argue that sleep should also be conceptualized as part of the daily spectrum of time-use, along with other types of activity. We propose novel statistical models, in particular compositional data analysis (CoDA), as appropriate analytical methods for a new sleep paradigm.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sueño / Estado de Salud Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Patient_preference Límite: Humans Idioma: En Revista: Sleep Health Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sueño / Estado de Salud Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Patient_preference Límite: Humans Idioma: En Revista: Sleep Health Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos