@misc{10481/72127,
year = {2021},
month = {4},
url = {http://hdl.handle.net/10481/72127},
abstract = {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.},
organization = {Spanish Government	DEP2013-47540	
DEP2016-79512-R	
RYC-2011-09011},
organization = {CoCA project - European Union's 2020 research and innovation programme	667302},
organization = {Spanish Government	FPU15/02645},
organization = {NIHR Leicester Biomedical Research Centre},
organization = {Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands},
organization = {French National Research Agency (ANR)	ANR-19-CE36-0004-01},
organization = {Medical Research Council Industrial Strategy Studentship	MR/S502509/1},
organization = {Andalusian Operational Programme},
organization = {European Regional Development Funds (ERDF in English, FEDER in Spanish)	B-CTS-355-UGR18},
organization = {University of Granada, Plan Propio de Investigacion 2016, Excellence actions: Units of Excellence},
organization = {Scientific Excellence Unit on Exercise and Health (UCEES), Junta de Andalucia,Consejeria de Conocimiento, Investigacion y Universidades},
organization = {European Commission	SOMM17/6107/UGR},
organization = {SAMID III network, RETICS - PN I+D+I 2017-2021 (Spain)},
organization = {EXERNET Research Network on Exercise and Health in Special Populations	DEP2005-00046/ACTI},
organization = {ISCIIISub-Directorate General for Research Assessment and Promotion},
organization = {European Commission	RD16/0022},
publisher = {BMJ},
keywords = {Physical activity},
keywords = {Epidemiology},
keywords = {Statistics},
keywords = {Accelerometer},
keywords = {Sedentary},
title = {GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies},
doi = {10.1136/bjsports-2020-103604},
author = {Migueles Hidalgo, Jairo and Ortega Porcel, Francisco Bartolomé and External review group},
}