GGIR: A research community-driven open-source R-package for generating physical activity and sleep outcomes from multi-day raw accelerometer data

Further we would like to acknowledge funding from: Medical Research Council (MRC) grants MR/P012167/1 and MC_UU_12015/3, Economic and Social Research Council (ESRC) grant ES/K005987 for ‘Millennium Cohort Study Sweep 6 (Age 14) Survey’ (MCS6), Biotechnology and Biological Sciences Research Council (BBSRC) and Unilever Discover Ltd funded a CASE studentship (2008-2012), and NIH grants HL-094307 (AIP). This is part of a PhD Thesis conducted in the Biomedicine Doctoral Studies at the University of Granada, Spain. JHM is supported by a Grant from the Spanish Ministry of Education, Culture and Sport (FPU15/02645). AR is with the NIHR Leicester Biomedical Research Centre (2017-2022) and the Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands. This study has been partially funded by the University of Granada, Plan Propio de Investigación 2016, Excellence actions: Units of Excellence; Unit of Excellence on Exercise and Health (UCEES), and by the Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades and European Regional Development Fund (ERDF), ref. SOMM17/6107/UGR