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Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study.

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Title: Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study.
Authors: Chen M; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France., Landré B; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France., Marques-Vidal P; Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Switzerland., van Hees VT; Accelting, Almere, the Netherlands., van Gennip ACE; Department of Internal Medicine, Maastricht University Medical Centre, the Netherlands.; School for Cardiovascular Diseases CARIM, Maastricht University, the Netherlands., Bloomberg M; Department of Epidemiology and Public Health, University College London, UK., Yerramalla MS; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France., Benadjaoud MA; Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-Aux-Roses, France., Sabia S; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.; Department of Epidemiology and Public Health, University College London, UK.
Source: EClinicalMedicine [EClinicalMedicine] 2022 Dec 13; Vol. 55, pp. 101773. Date of Electronic Publication: 2022 Dec 13 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: The Lancet Country of Publication: England NLM ID: 101733727 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-5370 (Electronic) Linking ISSN: 25895370 NLM ISO Abbreviation: EClinicalMedicine Subsets: PubMed not MEDLINE
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  Data: Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study.
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  Data: <searchLink fieldCode="AU" term="%22Chen+M%22">Chen M</searchLink>; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.<br /><searchLink fieldCode="AU" term="%22Landré+B%22">Landré B</searchLink>; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.<br /><searchLink fieldCode="AU" term="%22Marques-Vidal+P%22">Marques-Vidal P</searchLink>; Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22van+Hees+VT%22">van Hees VT</searchLink>; Accelting, Almere, the Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Gennip+ACE%22">van Gennip ACE</searchLink>; Department of Internal Medicine, Maastricht University Medical Centre, the Netherlands.; School for Cardiovascular Diseases CARIM, Maastricht University, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Bloomberg+M%22">Bloomberg M</searchLink>; Department of Epidemiology and Public Health, University College London, UK.<br /><searchLink fieldCode="AU" term="%22Yerramalla+MS%22">Yerramalla MS</searchLink>; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.<br /><searchLink fieldCode="AU" term="%22Benadjaoud+MA%22">Benadjaoud MA</searchLink>; Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-Aux-Roses, France.<br /><searchLink fieldCode="AU" term="%22Sabia+S%22">Sabia S</searchLink>; Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Avenue de Verdun, 75010, Paris, France.; Department of Epidemiology and Public Health, University College London, UK.
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  Data: <searchLink fieldCode="JN" term="%22101733727%22">EClinicalMedicine</searchLink> [EClinicalMedicine] 2022 Dec 13; Vol. 55, pp. 101773. <i>Date of Electronic Publication: </i>2022 Dec 13 (<i>Print Publication: </i>2023).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22The+Lancet%22">The Lancet </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101733727 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2589-5370 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225895370%22">25895370 </searchLink><i>NLM ISO Abbreviation: </i>EClinicalMedicine <i>Subsets: </i>PubMed not MEDLINE
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