Journal article
Selecting life course frameworks to guide and communicate large new cohort studies: Generation Victoria (GenV) case study
J Wang, YJ Hu, S Clifford, S Goldfeld, M Wake
Journal of Developmental Origins of Health and Disease | CAMBRIDGE UNIV PRESS | Published : 2021
Open access
Abstract
While birth cohorts are shaped by underpinning life course frameworks, few if any report how they select them. This review aimed to (1) summarise publicly available frameworks relevant to planning and communicating large new early-life cohorts and (2) help select frameworks to guide and communicate Generation Victoria (GenV), a whole-of-state birth and parent cohort in planning in the state of Victoria, Australia. We identified potential frameworks from prior knowledge, networks and a pragmatic literature search in 2019. We considered for inclusion only frameworks with an existing visual graphic. We summarised each framework's concept, then judged it on a seven-item matrix (Scope, Dimensions..
View full abstractGrants
Awarded by Royal Children's Hospital Foundation
Awarded by Melbourne Children's Life Course postdoctoral fellowship - Royal Children's Hospital Foundation
Awarded by Australian National Health and Medical Research Council (NHMRC)
Awarded by NHMRC
Awarded by National Health and Medical Research Council of Australia
Funding Acknowledgements
Generation Victoria is supported by the Paul Ramsay Foundation in 2018 and 2020, the Victorian Government in 2017 and in 2019, and the Murdoch Children's Research Institute and the Royal Children's Hospital Foundation in 2020 (2019-1226). Research at the Murdoch Children's Research Institute is supported by the Victorian Government's Operational Infrastructure Support Program. JW was supported by a Melbourne Children's Life Course postdoctoral fellowship (2019-2021), funded by Royal Children's Hospital Foundation grant (2020-2023, reference number 2018-984). SG was supported by the Australian National Health and Medical Research Council (NHMRC) Practitioner Fellowship (2019-2023, reference number 155290). MW was supported by NHMRC Principal Research Fellowship (2019-2023, reference number 1160906).