Journal article

Bone health, activity and sedentariness at age 11-12 years: Cross-sectional Australian population-derived study

William Osborn, Peter Simm, Tim Olds, Kate Lycett, Fiona K Mensah, Josh Muller, Francois Fraysse, Najmi Ismail, Jennifer Vlok, David Burgner, John B Carlin, Ben Edwards, Terence Dwyer, Peter Azzopardi, Sarath Ranganathan, Melissa Wake

Bone | ELSEVIER SCIENCE INC | Published : 2018


Awarded by National Health and Medical Research Council (NHMRC) of Australia

Awarded by Royal Children's Hospital Foundation

Awarded by NHMRC

Awarded by NHMRC Early Career Fellowship

Awarded by National Heart Foundation Postdoctoral Fellowship

Funding Acknowledgements

WO and KL had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. This work has been supported to date by the National Health and Medical Research Council (NHMRC) of Australia (Project Grants 1041352, 1109355), The Royal Children's Hospital Foundation (Grant 2014-241), Murdoch Children's Research Institute and The University of Melbourne. Research at the Murdoch Childrens Research Institute research is supported by the Victorian Government's Operational Infrastructure Program. The NHMRC supported MW (Senior Research Fellowship 1046518), KL (NHMRC Early Career Fellowship 1091124, National Heart Foundation Postdoctoral Fellowship 101239) and FM (Career Development Fellowship 1111160) in this work. MW was further supported by Cure Kids New Zealand. This paper uses unit record data from Growing Up in Australia, the Longitudinal Study of Australian Children. LSAC is conducted in partnership between the Department of Social Services (DSS), the Australian Institute of Family Studies (AIFS) and the Australian Bureau of Statistics (ABS). The findings and views reported in this paper are those of the author and should not be attributed to DSS, AIFS, the ABS or any of the funding bodies. Some study data were collected and managed using REDCap (Research Electronic Data Capture) electronic data capture tools, a secure, web based application designed to support data capture for research studies.