GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies
| Autor: | Olav M. Kvalheim, Francisco B. Ortega, Kenn Konstabel, Duncan E McGregor, Alex V. Rowlands, Jan Christian Brønd, Eivind Aadland, Séverine Sabia, Sebastien F. M. Chastin, Jairo H. Migueles, Rosemary Walmsley, Vincent T. van Hees, Lars Bo Andersen, Bjørge Hermann Hansen |
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| Přispěvatelé: | Universidad de Granada = University of Granada (UGR), Linköping University (LIU), Western Norway University of Applied Sciences, University of Southern Denmark (SDU), Glasgow Caledonian University (GCU), Department of Movement and Sports Sciences, Universiteit Gent = Ghent University (UGENT), Norwegian School of Sport Sciences = Norges idrettshøgskole [Oslo] (NIH), University of Agder (UIA), Tallinn University, University of Tartu, University of Bergen (UiB), University of Leicester, NIHR Biomedical Research Centre [London], Guy's and St Thomas' NHS Foundation Trust-King‘s College London, University of South Australia [Adelaide], Epidemiology of Ageing and Neurodegenerative diseases [Paris] (EpiAgeing), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Epidemiology and Public Health, University College of London [London] (UCL), Amsterdam UMC - Amsterdam University Medical Center, Nuffield Department of Population Health [Oxford], University of Oxford, Big Data Institute, Department of Biosciences and Nutrition [Karolinska Insitutet, Sueden] (BioNut), Karolinska Institutet [Stockholm], This study was conducted under the umbrella of the ActiveBrains and the SmarterMove projects supported by the MINECO/FEDER (DEP2013-47540, DEP2016-79512-R, RYC-2011-09011) and the CoCA project supported by the European Union’s 2020 research and innovation programme (667302). JHM is supported by a grant from the Spanish Ministry of Education, Culture and Sport (FPU15/02645). AR is supported by the NIHR Leicester Biomedical Research Centre, and the Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands. SS is supported by the French National Research Agency (ANR-19-CE36-0004-01). RW is supported by a Medical Research Council Industrial Strategy Studentship (MR/S502509/1). Additional funding was obtained from the Andalusian Operational Programme supported with European Regional Development Funds (ERDF in English, FEDER in Spanish, project ref: B-CTS-355-UGR18), the University of Granada, Plan Propio de Investigación 2016, Excellence actions: Units of Excellence, Scientific Excellence Unit on Exercise and Health (UCEES), Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades and European Regional Development Funds (ref. SOMM17/6107/UGR). In addition, funding was provided by the SAMID III network, RETICS, funded by the PN I+D+I 2017-2021 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion, the European Regional Development Fund (ERDF) (Ref. RD16/0022), the EXERNET Research Network on Exercise and Health in Special Populations (DEP2005-00046/ACTI)., ANR-19-CE36-0004,ActivHealth,Rôle de l'intensité, de la durée et des profils d'activité physique mesurés par accéléromètres pour la santé cardiométabolique(2019), European Project: 667302,H2020,H2020-PHC-2015-two-stage,CoCA(2016), Université Paris Cité, Equipe HAL, Rôle de l'intensité, de la durée et des profils d'activité physique mesurés par accéléromètres pour la santé cardiométabolique - - ActivHealth2019 - ANR-19-CE36-0004 - AAPG2019 - VALID, Comorbid Conditions of Attention deficit / hyperactivity disorder - CoCA - - H20202016-01-01 - 2020-12-31 - 667302 - VALID, Migueles, Jairo H, Aadland, Eivind, Andersen, Lars Bo, Brønd, Jan Christian, Chastin, Sebastien F, Hansen, Bjørge H, Konstabel, Kenn, Kvalheim, Olav Martin, McGregor, Duncan E, Rowlands, Alex V, Sabia, Séverine, Van Hees, Vincent T, Walmsley, Rosemary, Ortega, Francisco B |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Physical Therapy
COUNT Applied psychology physical activity CHILDREN Scientific literature Accelerometer 0302 clinical medicine CADENCE Accelerometry Epidemiology Medicine and Health Sciences SITTING TIME Orthopedics and Sports Medicine 030212 general & internal medicine MESH: Accelerometry [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology MESH: Epidemiologic Studies Functional data analysis General Medicine VDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850 3. Good health MESH: Sedentary Behavior statistics Codependency COMPARABILITY epidemiology Psychology medicine.medical_specialty Consensus MESH: Sleep Decision tree Physical activity Physical Therapy Sports Therapy and Rehabilitation Context (language use) Sports Therapy and Rehabilitation MASS VDP::Samfunnsvitenskap: 200::Samfunnsvitenskapelige idrettsfag: 330::Aktivitetslære: 332 03 medical and health sciences sedentary medicine Humans MESH: Consensus Exercise MESH: Humans MORTALITY PROFILES 030229 sport sciences Tvärvetenskapliga studier inom samhällsvetenskap accelerometer Epidemiologic Studies MESH: Exercise Sedentary Behavior Social Sciences Interdisciplinary Sleep [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology |
| Zdroj: | British Journal of Sports Medicine British Journal of Sports Medicine, 2022, 56 (7), pp.376-384. ⟨10.1136/bjsports-2020-103604⟩ Migueles, J H, Aadland, E, Andersen, L B, Brønd, J C, Chastin, S F, Hansen, B H, Konstabel, K, Kvalheim, O M, McGregor, D E, Rowlands, A V, Sabia, S, Van Hees, V T, Walmsley, R & Ortega, F B 2022, ' GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies ', British Journal of Sports Medicine, vol. 56, no. 7, pp. 376-384 . https://doi.org/10.1136/bjsports-2020-103604 Digibug. Repositorio Institucional de la Universidad de Granada instname BRITISH JOURNAL OF SPORTS MEDICINE |
| ISSN: | 2013-4754 0306-3674 1473-0480 |
| DOI: | 10.1136/bjsports-2020-103604⟩ |
| Popis: | This study was conducted under the umbrella of the ActiveBrains and the SmarterMove projects supported by the MINECO/FEDER (DEP2013-47540, DEP2016-79512-R, RYC-2011-09011) and the CoCA project supported by the European Union's 2020 research and innovation programme (667302). JHM is supported by a grant from the Spanish Ministry of Education, Culture and Sport (FPU15/02645). AR is supported by the NIHR Leicester Biomedical Research Centre, and the Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands. SS is supported by the French National Research Agency (ANR-19-CE36-0004-01). RW is supported by a Medical Research Council Industrial Strategy Studentship (MR/S502509/1). Additional funding was obtained from the Andalusian Operational Programme supported with European Regional Development Funds (ERDF in English, FEDER in Spanish, project ref: B-CTS-355-UGR18), the University of Granada, Plan Propio de Investigacion 2016, Excellence actions: Units of Excellence; Scientific Excellence Unit on Exercise and Health (UCEES), Junta de Andalucia,Consejeria de Conocimiento, Investigacion y Universidades and European Regional Development Funds (ref. SOMM17/6107/UGR). In addition, funding was provided by the SAMID III network, RETICS, funded by the PN I+D+I 2017-2021 (Spain), ISCIIISub-Directorate General for Research Assessment and Promotion, the European Regional Development Fund (ERDF) (Ref. RD16/0022), the EXERNET Research Network on Exercise and Health in Special Populations (DEP2005-00046/ACTI). The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defined as physical behaviours) is of interest to researchers from different fields. Each of these physical behaviours has been investigated in epidemiological studies, yet their codependency and interactions need to be further explored and accounted for in data analysis. Modern accelerometers capture continuous movement through the day, which presents the challenge of how to best use the richness of these data. In recent years, analytical approaches first applied in other scientific fields have been applied to physical behaviour epidemiology (eg, isotemporal substitution models, compositional data analysis, multivariate pattern analysis, functional data analysis and machine learning). A comprehensive description, discussion, and consensus on the strengths and limitations of these analytical approaches will help researchers decide which approach to use in different situations. In this context, a scientific workshop and meeting were held in Granada to discuss: (1) analytical approaches currently used in the scientific literature on physical behaviour, highlighting strengths and limitations, providing practical recommendations on their use and including a decision tree for assisting researchers’ decision-making; and (2) current gaps and future research directions around the analysis and use of accelerometer data. Advances in analytical approaches to accelerometer-determined physical behaviours in epidemiological studies are expected to influence the interpretation of current and future evidence, and ultimately impact on future physical behaviour guidelines. Spanish Government DEP2013-47540 DEP2016-79512-R RYC-2011-09011 CoCA project - European Union's 2020 research and innovation programme 667302 Spanish Government FPU15/02645 NIHR Leicester Biomedical Research Centre Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands French National Research Agency (ANR) ANR-19-CE36-0004-01 Medical Research Council Industrial Strategy Studentship MR/S502509/1 Andalusian Operational Programme European Regional Development Funds (ERDF in English, FEDER in Spanish) B-CTS-355-UGR18 University of Granada, Plan Propio de Investigacion 2016, Excellence actions: Units of Excellence Scientific Excellence Unit on Exercise and Health (UCEES), Junta de Andalucia,Consejeria de Conocimiento, Investigacion y Universidades European Commission SOMM17/6107/UGR SAMID III network, RETICS - PN I+D+I 2017-2021 (Spain) EXERNET Research Network on Exercise and Health in Special Populations DEP2005-00046/ACTI ISCIIISub-Directorate General for Research Assessment and Promotion European Commission RD16/0022 |
| Databáze: | OpenAIRE |
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