Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children

Child Hlth CheckPoint Team

Research output: Contribution to journalArticle

19 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)3-22
Number of pages20
JournalBMJ Open
Volume9
DOIs
Publication statusPublished - 4 Jul 2019

Cite this

@article{e6082c0edeed45219295a8789893cf02,
title = "Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children",
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 = "cohort profile, non-communicable disease, biological specimen bank, phenotype, reference values, parents, children, epidemiologic studies, cross-sectional studies, longitudinal studies, QUALITY-OF-LIFE, INTIMA-MEDIA THICKNESS, PROFILE GROWING-UP, COMPUTERIZED USE, HEARING-LOSS, TIME RECALL, RELIABILITY, VALIDATION, VALIDITY, OUTCOMES",
author = "{Child Hlth CheckPoint Team} and Clifford, {Susan A.} and Sarah Davies and Melissa Wake and Azzopardi, {Peter S.} and Baur, {Louise A.} and Burgner, {David P.} and Carlin, {John B.} and Michael Cheung and Terence Dwyer and Ben Edwards and Susan Ellul and Gillespie, {Alanna N.} and Lisa Gold and Grobler, {Anneke C.} and Kerr, {Jessica A.} and Kate Lycett and Katherine Lange and Mensah, {Fiona K.} and Olds, {Timothy S.} and Sarath Ranganathan and Helen Rogers and Richard Saffery and Michael Sawyer and Simm, {Peter J.} and Luke Stevens and Wong, {Tien Y.} and Zubrick, {Stephen R.}",
year = "2019",
month = "7",
day = "4",
doi = "10.1136/bmjopen-2017-020261",
language = "English",
volume = "9",
pages = "3--22",
journal = "BMJ (Open)",
issn = "2044-6055",
publisher = "John Wiley & Sons",

}

Child Health CheckPoint : cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children. / Child Hlth CheckPoint Team.

In: BMJ Open, Vol. 9, 04.07.2019, p. 3-22.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Child Health CheckPoint

T2 - cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children

AU - Child Hlth CheckPoint Team

AU - Clifford, Susan A.

AU - Davies, Sarah

AU - Wake, Melissa

AU - Azzopardi, Peter S.

AU - Baur, Louise A.

AU - Burgner, David P.

AU - Carlin, John B.

AU - Cheung, Michael

AU - Dwyer, Terence

AU - Edwards, Ben

AU - Ellul, Susan

AU - Gillespie, Alanna N.

AU - Gold, Lisa

AU - Grobler, Anneke C.

AU - Kerr, Jessica A.

AU - Lycett, Kate

AU - Lange, Katherine

AU - Mensah, Fiona K.

AU - Olds, Timothy S.

AU - Ranganathan, Sarath

AU - Rogers, Helen

AU - Saffery, Richard

AU - Sawyer, Michael

AU - Simm, Peter J.

AU - Stevens, Luke

AU - Wong, Tien Y.

AU - Zubrick, Stephen R.

PY - 2019/7/4

Y1 - 2019/7/4

N2 - 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.

AB - 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.

KW - cohort profile

KW - non-communicable disease

KW - biological specimen bank

KW - phenotype

KW - reference values

KW - parents

KW - children

KW - epidemiologic studies

KW - cross-sectional studies

KW - longitudinal studies

KW - QUALITY-OF-LIFE

KW - INTIMA-MEDIA THICKNESS

KW - PROFILE GROWING-UP

KW - COMPUTERIZED USE

KW - HEARING-LOSS

KW - TIME RECALL

KW - RELIABILITY

KW - VALIDATION

KW - VALIDITY

KW - OUTCOMES

U2 - 10.1136/bmjopen-2017-020261

DO - 10.1136/bmjopen-2017-020261

M3 - Article

VL - 9

SP - 3

EP - 22

JO - BMJ (Open)

JF - BMJ (Open)

SN - 2044-6055

ER -