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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., Funding Agencies|MINECO/FEDERSpanish Government [DEP2013-47540, DEP2016-79512-R, RYC-2011-09011]; CoCA project - European Unions 2020 research and innovation programme [667302]; Spanish Ministry of Education, Culture and SportSpanish Government [FPU15/02645]; NIHR Leicester Biomedical Research Centre; Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands; French National Research AgencyFrench 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 Regional Development FundsEuropean 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 Regional Development Fund (ERDF)European Commission [RD16/0022] more...

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., Funding Agencies|MINECO/FEDERSpanish Government [DEP2013-47540, DEP2016-79512-R, RYC-2011-09011]; CoCA project - European Unions 2020 research and innovation programme [667302]; Spanish Ministry of Education, Culture and SportSpanish Government [FPU15/02645]; NIHR Leicester Biomedical Research Centre; Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands; French National Research AgencyFrench 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 Regional Development FundsEuropean 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 Regional Development Fund (ERDF)European Commission [RD16/0022] more...

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., Funding Agencies|MINECO/FEDERSpanish Government [DEP2013-47540, DEP2016-79512-R, RYC-2011-09011]; CoCA project - European Unions 2020 research and innovation programme [667302]; Spanish Ministry of Education, Culture and SportSpanish Government [FPU15/02645]; NIHR Leicester Biomedical Research Centre; Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands; French National Research AgencyFrench 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 Regional Development FundsEuropean 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 Regional Development Fund (ERDF)European Commission [RD16/0022] more...

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., Funding Agencies|MINECO/FEDERSpanish Government [DEP2013-47540, DEP2016-79512-R, RYC-2011-09011]; CoCA project - European Unions 2020 research and innovation programme [667302]; Spanish Ministry of Education, Culture and SportSpanish Government [FPU15/02645]; NIHR Leicester Biomedical Research Centre; Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands; French National Research AgencyFrench 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 Regional Development FundsEuropean 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 Regional Development Fund (ERDF)European Commission [RD16/0022] more...

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., Funding Agencies|MINECO/FEDERSpanish Government [DEP2013-47540, DEP2016-79512-R, RYC-2011-09011]; CoCA project - European Unions 2020 research and innovation programme [667302]; Spanish Ministry of Education, Culture and SportSpanish Government [FPU15/02645]; NIHR Leicester Biomedical Research Centre; Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands; French National Research AgencyFrench 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 Regional Development FundsEuropean 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 Regional Development Fund (ERDF)European Commission [RD16/0022] more...

There is solid evidence for an association between physical activity and metabolic health outcomes in children and youth, but for methodological reasons most studies describe the intensity spectrum using only a few summary measures. We aimed to determine the multivariate physical activity intensity signature associated with metabolic health in a large and diverse sample of children and youth, by investigating the association pattern for the entire physical intensity spectrum. We used pooled data from 11 studies and 11,853 participants aged 5.8-18.4 years included in the International Children's Accelerometry Database. We derived 14 accelerometry-derived (ActiGraph) physical activity variables covering the intensity spectrum (from 0-99 to ≥8000 counts per minute). To handle the multicollinearity among these variables, we used multivariate pattern analysis to establish the associations with indices of metabolic health (abdominal fatness, insulin sensitivity, lipid metabolism, blood pressure). A composite metabolic health score was used as the main outcome variable. Associations with the composite metabolic health score were weak for sedentary time and light physical activity, but gradually strengthened with increasing time spent in moderate and vigorous intensities (up to 4000-5000 counts per minute). Association patterns were fairly consistent across sex and age groups, but varied across different metabolic health outcomes. This novel analytic approach suggests that vigorous intensity, rather than less intense activities or sedentary behavior, are related to metabolic health in children and youth. more...