Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/121499
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Type: | Journal article |
Title: | Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children |
Author: | Clifford, S.A. Davies, S. Wake, M. Azzopardi, P.S. Baur, L.A. Burgner, D.P. Carlin, J.B. Cheung, M. Dwyer, T. Edwards, B. Ellul, S. Gillespie, A.N. Gold, L. Grobler, A.C. Kerr, J.A. Lycett, K. Lange, K. Mensah, F.K. Olds, T.S. Ranganathan, S. et al. |
Citation: | BMJ Open, 2019; 9(Suppl 3):3-22 |
Publisher: | BMJ Publishing |
Issue Date: | 2019 |
ISSN: | 2044-6055 2044-6055 |
Statement of Responsibility: | Susan A Clifford, Sarah Davies, Melissa Wake, on behalf of the Child Health CheckPoint Team |
Abstract: | Objectives: ‘Growing Up in Australia: The Longitudinal Study of Australian Children’ (LSAC) is Australia's only nationally representative children’s longitudinal study, focusing on social, economic, physical and cultural impacts on health, learning, social and cognitive development. LSAC's first decade collected wide-ranging repeated psychosocial and administrative data; here, we describe the Child Health CheckPoint, LSAC’s dedicated biophysical module. Design, setting and participants: LSAC recruited a cross-sequential sample of 5107 infants aged 0–1 year and a sample of 4983 children aged 4–5 years in 2004, since completing seven biennial visits. CheckPoint was a cross-sectional wave that travelled Australia in 2015–2016 to reach LSAC’s younger cohort at ages 11–12 years between LSAC waves 6 and 7. Parent–child pairs participated in comprehensive assessments at 15 Assessment Centres nationwide or, if unable to attend, a shorter home visit. Measures: CheckPoint’s intergenerational, multidimensional measures were prioritised to show meaningful variation within normal ranges and capture non-communicable disease (NCD) phenotype precursors. These included anthropometry, physical activity, fitness, time use, vision, hearing, and cardiovascular, respiratory and bone health. Biospecimens included blood, saliva, buccal swabs (also from second parent), urine, hair and toenails. The epidemiology and parent–child concordance of many measures are described in separate papers. Results: 1874 (54% of eligible) parent–child pairs and 1051 second parents participated. Participants' geographical distribution mirrored the broader Australian population; however, mean socioeconomic position and parental education were higher and fewer reported non-English-speaking or Indigenous backgrounds. Application of survey weights partially mitigates that the achieved sample is less population representative than previous waves of LSAC due to non-random attrition. Completeness was uniformly high for phenotypic data (>92% of eligible), biospecimens (74%–97%) and consent (genetic analyses 98%, accessing neonatal blood spots 97%, sharing 96%). Conclusions: CheckPoint enriches LSAC to study how NCDs develop at the molecular and phenotypic levels before overt disease emerges, and clarify the underlying dimensionality of health in childhood and mid-adulthood. |
Keywords: | Child Health CheckPoint Team Humans Specimen Handling Longitudinal Studies Cross-Sectional Studies Parents Adult Middle Aged Child Child, Preschool Infant Infant, Newborn Australia Female Male Surveys and Questionnaires Child Health |
Rights: | © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
DOI: | 10.1136/bmjopen-2017-020261 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1041352 http://purl.org/au-research/grants/nhmrc/1109355 http://purl.org/au-research/grants/nhmrc/633003 http://purl.org/au-research/grants/nhmrc/1046518 http://purl.org/au-research/grants/nhmrc/1064629 http://purl.org/au-research/grants/nhmrc/1111160 http://purl.org/au-research/grants/nhmrc/1091124 http://purl.org/au-research/grants/nhmrc/1035100 |
Published version: | http://dx.doi.org/10.1136/bmjopen-2017-020261 |
Appears in Collections: | Aurora harvest 4 Medicine publications |
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hdl_121499.pdf | Published version | 1.28 MB | Adobe PDF | View/Open |
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