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dc.contributor.authorMigueles Hidalgo, Jairo 
dc.contributor.authorOrtega Porcel, Francisco Bartolomé 
dc.contributor.authorExternal review group
dc.date.accessioned2021-12-20T09:33:52Z
dc.date.available2021-12-20T09:33:52Z
dc.date.issued2021-04-12
dc.identifier.citationMigueles JH... [et al.]. 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 Published Online First: 12 April 2021. doi: [10.1136/bjsports-2020-103604]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/72127
dc.descriptionThis 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).es_ES
dc.description.abstractThe 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.es_ES
dc.description.sponsorshipSpanish Government DEP2013-47540 DEP2016-79512-R RYC-2011-09011es_ES
dc.description.sponsorshipCoCA project - European Union's 2020 research and innovation programme 667302es_ES
dc.description.sponsorshipSpanish Government FPU15/02645es_ES
dc.description.sponsorshipNIHR Leicester Biomedical Research Centrees_ES
dc.description.sponsorshipCollaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlandses_ES
dc.description.sponsorshipFrench National Research Agency (ANR) ANR-19-CE36-0004-01es_ES
dc.description.sponsorshipMedical Research Council Industrial Strategy Studentship MR/S502509/1es_ES
dc.description.sponsorshipAndalusian Operational Programmees_ES
dc.description.sponsorshipEuropean Regional Development Funds (ERDF in English, FEDER in Spanish) B-CTS-355-UGR18es_ES
dc.description.sponsorshipUniversity of Granada, Plan Propio de Investigacion 2016, Excellence actions: Units of Excellencees_ES
dc.description.sponsorshipScientific Excellence Unit on Exercise and Health (UCEES), Junta de Andalucia,Consejeria de Conocimiento, Investigacion y Universidadeses_ES
dc.description.sponsorshipEuropean Commission SOMM17/6107/UGRes_ES
dc.description.sponsorshipSAMID III network, RETICS - PN I+D+I 2017-2021 (Spain)es_ES
dc.description.sponsorshipEXERNET Research Network on Exercise and Health in Special Populations DEP2005-00046/ACTIes_ES
dc.description.sponsorshipISCIIISub-Directorate General for Research Assessment and Promotiones_ES
dc.description.sponsorshipEuropean Commission RD16/0022es_ES
dc.language.isoenges_ES
dc.publisherBMJes_ES
dc.rightsAtribución-NoComercial 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectPhysical activityes_ES
dc.subjectEpidemiology es_ES
dc.subjectStatistics es_ES
dc.subjectAccelerometeres_ES
dc.subjectSedentaryes_ES
dc.titleGRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studieses_ES
dc.typejournal articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/667302es_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1136/bjsports-2020-103604
dc.type.hasVersionVoRes_ES


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