Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children by Clifford, SA, Davies, S, Wake, M, Child Health Checkpoint Team

“…LSAC's first decade collected wide-ranging repeated psychosocial and administrative data; here, we describe the Child Health CheckPoint, LSAC's dedicated biophysical module.…”

The great leap backward: changes in the jumping performance of Australian children aged 11−12-years between 1985 and 2015 by Fraser, B, Blizzard, L, Tomkinson, G, Lycett, K, Wake, M, Burgner, D, Ranganathan, S, Juonala, M, Dwyer, T, Venn, A, Olds, T, Magnussen, C

“…This study quantified the 30-year secular changes in jumping performance of Australian children aged 11−12-years using data from the Australian Schools Health and Fitness Survey (1985, n = 1967) and Growing Up in Australia’s Child Health CheckPoint (2015, n = 1765). Both cohorts measured jumping performance (standing long jump distance), anthropometric and demographic data. …”

Fat-Soluble Vitamers: Parent-Child Concordance and Population Epidemiology in the Longitudinal Study of Australian Children by Githal Randunu Porawakara Arachchige, Chris James Pook, Beatrix Jones, Margaret Coe, Richard Saffery, Melissa Wake, Eric Bruce Thorstensen, Justin Martin O’Sullivan, on behalf of the Child CheckPoint Team

“…In this study, we report distributions of FSV, their parent-child concordance and variation by key characteristics for 2490 children (aged 11–12 years) and adults (aged 28–71 years) in the Child Health CheckPoint of the Longitudinal Study of Australian Children. …”
Get full text

Bone health, activity and sedentariness at age 11-12 years: Cross-sectional Australian population-derived study by Osborn, W, Simm, P, Olds, T, Lycett, K, Mensah, F, Muller, J, Fraysse, F, Ismail, N, Vlok, J, Burgner, D, Carlin, J, Edwards, B, Dwyer, T, Azzopardi, P, Ranganathan, S, Wake, M

“…Participants: 11–12 year-olds in the Longitudinal Study of Australian Children's Child Health CheckPoint. Exposures: MVPA and sedentary behaviour (7-day accelerometry), yielding (1) daily average durations (min/day) and (2) fragmentations (the parameter alpha, representing the relationship between activity bout frequency and bout length). …”

Your best day: an interactive app to translate how time reallocations within a 24-hour day are associated with health measures by Dumuid, D, Olds, T, Wake, M, Lund Rasmussen, C, Pedišić, Ž, Hughes, JH, Foster, D Jr, Walmsley, R, Atkin, AJ, Straker, L, Fraysse, F, Smith, RT, Neumann, F, Kenett, RS, Jarle Mork, P, Bennett, D, Doherty, A, Stanford, T

“…We used data from the Australian Child Health CheckPoint study (<em>n</em>&nbsp;= 1685, 48% female, 11&ndash;12 y), with time spent in daily activities derived from a validated 24-h recall instrument, %body fat from bioelectric impedance, psychosocial health from the Pediatric Quality of Life Inventory and academic performance (writing) from national standardized tests. …”

Socioeconomic position is associated with carotid intima–media thickness in mid‐childhood: the longitudinal study of Australian children by Liu, R, Mensah, F, Carlin, J, Edwards, B, Ranganathan, S, Cheung, M, Dwyer, T, Saffery, R, Magnussen, C, Juonala, M, Wake, M, Burgner, D

“…<strong>Methods and Results</strong> Data were obtained from 1477 families participating in the Child Health CheckPoint study, nested within the Longitudinal Study of Australian Children. …”

Telomere length and vascular phenotypes in a population‐based cohort of children and midlife adults by Nguyen, M, Vryer, R, Ranganathan, S, Lycett, K, Grobler, A, Dwyer, T, Juonala, M, Saffery, R, Burgner, D, Wake, M

“…</p> <p><strong>Methods and Results</strong> Population‐based cross‐sectional CheckPoint (Child Health CheckPoint) study of 11‐ to 12‐year‐old children and their parents, nested within the LSAC (Longitudinal Study of Australian Children). …”

Time-use patterns and health-related quality of life in adolescents by Wong, M, Olds, T, Gold, L, Lycett, K, Dumuid, D, Muller, J, Mensah, F, Burgner, D, Carlin, J, Edwards, B, Dwyer, T, Azzopardi, P, Wake, M

“…</p> <h4>Methods</h4> <p>The Child Health CheckPoint was a cross-sectional study nested between Waves 6 and 7 of the Longitudinal Study of Australian Children. …”

Plasma B Vitamers: Population Epidemiology and Parent-Child Concordance in Children and Adults by Stephanie Andraos, Beatrix Jones, Clare Wall, Eric Thorstensen, Martin Kussmann, David Cameron-Smith, Katherine Lange, Susan Clifford, Richard Saffery, David Burgner, Melissa Wake, Justin O’Sullivan

“…Methods and Results: 1166 children (11 ± 0.5 years, 51% female) and 1324 parents (44 ± 5.1 years, 87% female) took part in a biomedical assessment of a population-derived longitudinal cohort study: The Growing Up in Australia’s Child Health CheckPoint. B vitamer levels were quantified by UHPLC/MS-MS. …”
Get full text

Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11-12 year olds and midlife adults? by Liu, M, Lycett, K, Wong, TY, Kerr, JA, He, M, Juonala, M, Olds, T, Dwyer, T, Burgner, D, Wake, M

“…</br> <br><strong>Methods: </strong>Participants/design: 1288 11–12 year olds (51% girls) and 1264 parents (87% mothers) in the population-based Child Health CheckPoint (CheckPoint) module within the Longitudinal Study of Australian Children (LSAC). …”