Longitudinal Study of Australian Children (LSAC)’s Child Health CheckPoint (CheckPoint-LSAC)

Study Summary
Study name	Longitudinal Study of Australian Children (LSAC)’s Child Health CheckPoint
Study abbreviation	CheckPoint-LSAC
Current principal investigator/s	Melissa Wake
Primary Institution/s	Murdoch Children’s Research Institute - MCRI Australian Institute of Family Studies
Collaborating Institution/s	Department of Social Services Australian Bureau of Statistics University of South Australia University of Adelaide Deakin University University of Sydney Burnet Institute Australian National University Flinders University University of Tasmania The University of Western Australia University of Oxford Singapore National Eye Centre University of Turku The University of Auckland National Centre for Longitudinal Data
Major funding source/s	National Health and Medical Research Council - NHMRC Financial Markets Foundation for Children The Royal Children’s Hospital Foundation - RCHF Murdoch Children’s Research Institute - MCRI Victorian Deaf Education Institute University of Auckland Faculty Research Development Fund National Heart Foundation of Australia Cure Kids New Zealand Ministry of Business, Innovation and Employment National Centre for Longitudinal Data - at the Department of Social Services
Study website	https://www.mcri.edu.au/research/projects/longitudinal-study-australian-childrens-child-health-checkpoint https://dataverse.ada.edu.au/dataverse/lsac
Key reference for study	Clifford SA, Davies S, Wake M, and Child Health CheckPoint Team. Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children. BMJ Open. 2019. 9(Suppl 3): p. 3-22. DOI: 10.1136/bmjopen-2017-020261.
Study focus	The Longitudinal Study of Australian Children (LSAC) is Australia’s largest and only nationally-representative children’s longitudinal study. The study commenced in 2004 with two cohorts (n≈10,000) – 0-1 year old infants (B cohort) and 4-5 year old children (K cohort). It is governed by the Department of Social Services, the Australian Institute of Family Studies (AIFS) and the Australian Bureau of Statistics (ABS). The cohorts are followed biennually, with a broad focus including health and development, education, family and parenting characteristics and socioeconomic environment. A new phase, LSAC’s Child Health CheckPoint is a one-off physical health and biospecimens module for the B cohort. It travelled around Australia in 2015-2016, collecting important information about children’s cardiovascular and respiratory health, fitness, strength, vision, hearing, diet, activity and more, as they transition from childhood to adolescence. The Child Health CheckPoint is conducted by researchers at the Murdoch Children’s Research Institute.
Sampling frame	LSAC had a two-stage clustered sampling design, first randomly selecting 10% of all Australian postcodes (stratified by state and urban/rural), then selecting children within those postcodes registered in Medicare Australia’s database and aged either 3-19 months old (B cohort) or 4-5 years old (K cohort). CheckPoint: The B cohort families who completed a wave 6 home interview were eligible and invited to participate in CheckPoint.
Primary study type	Longitudinal cohort
Primary participant (at recruitment)	Index child
Year commenced	2015
Is this study ongoing?	No - the study is complete
Year study ended	2016
Ongoing recruitment?	No
Sample size (N)	1874 (plus 1874 parents)
Survey data available?	Yes
Imaging data available?	Yes
Linkage to administrative dataset/s?	Yes, linkage to (at least one) administrative dataset completed
Biosamples available?	Yes
Are data available to others outside study team, with appropriate safeguards and structures in line with the cohort’s ethics and governance processes?	Yes
Are there any costs associated with data/sample access for approved requests?	There are usually no costs associated with access
Broadest type of participant consent available	Unspecified consent (can be used for any future ethically approved research)

2024

Lange K, Pham C, Fedyszyn IE, Cook F, Burgner DP, Olsson CA, Downes M, Priest N, Mansell T, Tang MLK, Ponsonby A-L, Symeonides C, Loughman A, Vuillermin P, Kerr JA, Gray L, Sly PD, Lycett K, Carlin JB, Saffery R, Wake M, O'Connor M. (2024). Emotional symptoms and inflammatory biomarkers in childhood: Associations in two Australian birth cohorts. J Affect Disord, 344, 356 - 364. DOI: 10.1016/j.jad.2023.10.042

Verhoef E, Allegrini AG, Jansen PR, Lange K, Wang CA, Morgan AT, Ahluwalia TS, Symeonides C, EAGLE Working Group , Eising E, Franken M-C, Hypponen E, Mansell T, Olislagers M, Omerovic E, Rimfeld K, Schlag F, Selzam S, Shapland CY, Tiemeier H, Whitehouse AJO, Saffery R, Bønnelykke K, Reilly S, Pennell CE, Wake M, Cecil CAM, Plomin R, Fisher SE, St Pourcain B. (2024). Genome-Wide Analyses of Vocabulary Size in Infancy and Toddlerhood: Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits. Biol Psychiatry, 95(9), 859 - 869. DOI: 10.1016/j.biopsych.2023.11.025

2023

Elhakeem A, Ronkainen J, Mansell T, Lange K, Mikkola TM, Mishra BH, Wahab RJ, Cadman T, Yang T, Burgner D, Eriksson JG, Järvelin M-R, Gaillard R, Jaddoe VWV, Lehtimäki T, Raitakari OT, Saffery R, Wake M, Wright J, Sebert S, Lawlor DA. (2023). Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study. BMC Med, 21(1), 23. DOI: 10.1186/s12916-022-02711-8

Kerr JA, Dumuid D, Downes M, Lange K, O'Connor M, Thornton L, Mavoa S, Lycett K, Olds TS, Edwards B, O'Sullivan JM, Juonala M, Burgner D, Wake M. (2023). Socioeconomic disadvantage and polygenic risk for high BMI magnify obesity risk across childhood: a longitudinal, population, cohort study. Lancet Glob Health, 11 Suppl 1, S9 - S10. DOI: 10.1016/S2214-109X(23)00094-3

Le HND, Mensah F, Lange K, Kerr JA, Edwards B, Wang Y, Dwyer T, Wake M, Gold L. (2023). Association between children's health-related quality of life, healthcare costs and socioeconomic position: Results from a longitudinal Australian-based study Social Sciences & Humanities Open, 8(1), 100547. DOI: 10.1016/j.ssaho.2023.100547

Lu Y, Kiechl SJ, Wang J, Xu Q, Kiechl S, Pechlaner R, Global Pulse Wave Velocity Study Group . (2023). Global distributions of age- and sex-related arterial stiffness: systematic review and meta-analysis of 167 studies with 509,743 participants. EBioMedicine, 92, 104619. DOI: 10.1016/j.ebiom.2023.104619

Wang J, Lange K, Sung V, Morgan A, Saffery R, Wake M. (2023). Association of Polygenic Risk Scores for Hearing Difficulty in Older Adults With Hearing Loss in Mid-Childhood and Midlife: A Population-Based Cross-sectional Study Within the Longitudinal Study of Australian Children. JAMA Otolaryngol Head Neck Surg, 149(3), 204 - 211. DOI: 10.1001/jamaoto.2022.4466

Wang Y, Crowe M, Knibbs LD, Fuller-Tyszkiewicz M, Mygind L, Kerr JA, Wake M, Olsson CA, Enticott PG, Peters RL, Daraganova G, Mavoa S, Lycett K. (2023). Greenness modifies the association between ambient air pollution and cognitive function in Australian adolescents, but not in mid-life adults. Environ Pollut, 324, 121329. DOI: 10.1016/j.envpol.2023.121329

2022

Arachchige GRP, Pook CJ, Jones B, Coe M, Saffery R, Wake M, Thorstensen EB, O'Sullivan JM, On Behalf Of The Child CheckPoint Team . (2022). Fat-Soluble Vitamers: Parent-Child Concordance and Population Epidemiology in the Longitudinal Study of Australian Children. Nutrients, 14(23). DOI: 10.3390/nu14234990

Dumuid D, Olds T, Lange K, Edwards B, Lycett K, Burgner DP, Simm P, Dwyer T, Le H, Wake M. (2022). Goldilocks Days: optimising children's time use for health and well-being. J Epidemiol Community Health, 76(3), 301 - 308. DOI: 10.1136/jech-2021-216686

Dumuid D, Olds T, Wake M, Lund Rasmussen C, Pedišić Ž, Hughes JH, Foster DJ, Walmsley R, Atkin AJ, Straker L, Fraysse F, Smith RT, Neumann F, Kenett RS, Jarle Mork P, Bennett D, Doherty A, Stanford T. (2022). Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures. PLoS One, 17(9), e0272343. DOI: 10.1371/journal.pone.0272343

Lange K, Kerr JA, Mansell T, O'Sullivan JM, Burgner DP, Clifford SA, Olds T, Dwyer T, Wake M, Saffery R. (2022). Can adult polygenic scores improve prediction of body mass index in childhood? Int J Obes (Lond), 46(7), 1375 - 1383. DOI: 10.1038/s41366-022-01130-2

Le HN, Mensah F, Eadie P, Sciberras E, Bavin EL, Reilly S, Wake M, Gold L. (2022). Health-related quality of life of caregivers of children with low language: Results from two Australian population-based studies. Int J Speech Lang Pathol, 24(4), 352 - 361. DOI: 10.1080/17549507.2021.1976836

Lycett KM, Wijayawickrama DJ, Liu M, Grobler A, Burgner DP, Baur LA, Liu R, Lange K, Wake M, Kerr JA. (2022). Does an inflammatory diet affect mental well-being in late childhood and mid-life? A cross-sectional study. Br J Nutr, 127(6), 939 - 947. DOI: 10.1017/S0007114521001616

Priest N, Guo S, Gondek D, Lacey RE, Burgner D, Downes M, Slopen N, Goldfeld S, Moreno-Betancur M, Kerr JA, Cahill S, Wake M, Juonala M, Lycett K, O'Connor M. (2022). The effect of adverse and positive experiences on inflammatory markers in Australian and UK children. Brain Behav Immun Health, 26, 100550. DOI: 10.1016/j.bbih.2022.100550

Stormon N, Clifford S, Lange K, Mangoyana C, Ford P, Wake M, Lalloo R. (2022). Oral health: Epidemiology and concordance in Australian children and parents. Community Dent Oral Epidemiol, 50(4), 260 - 269. DOI: 10.1111/cdoe.12662

Wang J, Liu M, Sung V, Grobler A, Saffery R, Lange K, Burgner D, Wake M. (2022). Does inflammation mediate the association between obesity and hearing status in mid-childhood and mid-life? Int J Obes (Lond), 46(6), 1188 - 1195. DOI: 10.1038/s41366-022-01080-9

2021

Andraos S, Jones B, Lange K, Clifford SA, Thorstensen EB, Kerr JA, Wake M, Saffery R, Burgner DP, O'Sullivan JM. (2021). Trimethylamine N-oxide (TMAO) Is not Associated with Cardiometabolic Phenotypes and Inflammatory Markers in Children and Adults. Curr Dev Nutr, 5(1), nzaa179. DOI: 10.1093/cdn/nzaa179

Andraos S, Jones B, Wall C, Thorstensen E, Kussmann M, Cameron-Smith D, Lange K, Clifford S, Saffery R, Burgner D, Wake M, O'Sullivan J. (2021). Plasma B Vitamers: Population Epidemiology and Parent-Child Concordance in Children and Adults. Nutrients, 13(3). DOI: 10.3390/nu13030821

Andraos S, Lange K, Clifford SA, Jones B, Thorstensen EB, Wake M, Burgner DP, Saffery R, O'Sullivan JM. (2021). Population epidemiology and concordance for plasma amino acids and precursors in 11-12-year-old children and their parents. Sci Rep, 11(1), 3619. DOI: 10.1038/s41598-020-80923-9

Dumuid D, Wake M, Burgner D, Tremblay MS, Okely AD, Edwards B, Dwyer T, Olds T. (2021). Balancing time use for children's fitness and adiposity: Evidence to inform 24-hour guidelines for sleep, sedentary time and physical activity. PLoS One, 16(1), e0245501. DOI: 10.1371/journal.pone.0245501

Kerr JA, Liu RS, Gasser CE, Mensah FK, Burgner D, Lycett K, Gillespie AN, Juonala M, Clifford SA, Olds T, Saffery R, Gold L, Liu M, Azzopardi P, Edwards B, Dwyer T, Wake M. (2021). Diet quality trajectories and cardiovascular phenotypes/metabolic syndrome risk by 11-12 years. Int J Obes (Lond), 45(7), 1392 - 1403. DOI: 10.1038/s41366-021-00800-x

Matricciani L, Paquet C, Fraysse F, Grobler A, Wang Y, Baur L, Juonala M, Nguyen MT, Ranganathan S, Burgner D, Wake M, Olds T. (2021). Sleep and cardiometabolic risk: a cluster analysis of actigraphy-derived sleep profiles in adults and children. Sleep, 44(7). DOI: 10.1093/sleep/zsab014

Ng E, Wake M, Olds T, Lycett K, Edwards B, Le H, Dumuid D. (2021). Equivalence Curves for Healthy Lifestyle Choices. Pediatrics, 147(4). DOI: 10.1542/peds.2020-025395

Peng X, Picone DS, Schultz MG, Cai G, Wake M, Burgner DP, Mynard JP, Ellul S, Cheung M, Juonala M, Sharman JE. (2021). Brachial-cuff excess pressure is associated with carotid intima-media thickness among Australian children: a cross-sectional population study. Hypertens Res, 44(5), 541 - 549. DOI: 10.1038/s41440-020-00576-z

Shearer NJ, Gillespie AN, Olds TS, Mensah FK, Edwards B, Fernando JW, Wang Y, Wake M, Lycett K. (2021). Insights into adolescent well-being from computerised analysis of written language. Acta Paediatr, 110(6), 1880 - 1889. DOI: 10.1111/apa.15813

Wang J, Quach J, Sung V, Carew P, Wake M. (2021). 566Ear infection trajectories and academic, behavioural and quality of life outcomes: A population-based longitudinal study International Journal of Epidemiology, 50(Supplement_1). DOI: 10.1093/ije/dyab168.693

Wang J, Quach J, Sung V, Carew P, Wake M. (2021). Ear Infection Trajectories and Academic, Behavioral, and Quality-of-Life Outcomes: A Population-Based Longitudinal Study. J Dev Behav Pediatr, 42(7), 588 - 596. DOI: 10.1097/DBP.0000000000000931

2020

Dumuid D, Simm P, Wake M, Burgner D, Juonala M, Wu F, Magnussen CG, Olds T. (2020). The "Goldilocks Day" for Children's Skeletal Health: Compositional Data Analysis of 24-Hour Activity Behaviors. J Bone Miner Res, 35(12), 2393 - 2403. DOI: 10.1002/jbmr.4143

Gokuladhas S, Schierding W, Cameron-Smith D, Wake M, Scotter EL, O'Sullivan J. (2020). Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders. Front Genet, 11, 393. DOI: 10.3389/fgene.2020.00393

Liao Z, Lamb KE, Burgner D, Ranganathan S, Miller JE, Koplin JJ, Dharmage SC, Lowe AJ, Ponsonby A-L, Tang MLK, Allen KJ, Wake M, Peters RL. (2020). No obvious impact of caesarean delivery on childhood allergic outcomes: findings from Australian cohorts. Arch Dis Child, 105(7), 664 - 670. DOI: 10.1136/archdischild-2019-317485

Liu M, Lycett K, Moreno-Betancur M, Wong TY, He M, Saffery R, Juonala M, Kerr JA, Wake M, Burgner DP. (2020). Inflammation mediates the relationship between obesity and retinal vascular calibre in 11-12 year-olds children and mid-life adults. Sci Rep, 10(1), 5006. DOI: 10.1038/s41598-020-61801-w

Liu M, Lycett K, Wake M, He M, Kerr JA, Saffery R, Juonala M, Olds T, Dwyer T, Burgner DP, Wong TY. (2020). Cardiovascular health and retinal microvascular geometry in Australian 11-12 year-olds. Microvasc Res, 129, 103966. DOI: 10.1016/j.mvr.2019.103966

Liu M, Lycett K, Wong TY, Kerr JA, He M, Juonala M, Olds T, Dwyer T, Burgner D, Wake M. (2020). Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11-12 year olds and midlife adults? Int J Obes (Lond), 44(8), 1712 - 1722. DOI: 10.1038/s41366-020-0584-9

Lycett K, Juonala M, Magnussen CG, Norrish D, Mensah FK, Liu R, Clifford SA, Carlin JB, Olds T, Saffery R, Kerr JA, Ranganathan S, Baur LA, Sabin MA, Cheung M, Dwyer T, Liu M, Burgner D, Wake M. (2020). Body Mass Index From Early to Late Childhood and Cardiometabolic Measurements at 11 to 12 Years. Pediatrics, 146(2). DOI: 10.1542/peds.2019-3666

Matricciani L, Paquet C, Fraysse F, Wake M, Olds T. (2020). Sleep profiles of Australian children aged 11-12 years and their parents: sociodemographic characteristics and lifestyle correlates. Sleep Med, 73, 53 - 62. DOI: 10.1016/j.sleep.2020.04.017

O'Connor M, Ponsonby A-L, Collier F, Liu R, Sly PD, Azzopardi P, Lycett K, Goldfeld S, Arnup SJ, Burgner D, Priest N, BIS Investigator Group . (2020). Exposure to adversity and inflammatory outcomes in mid and late childhood. Brain Behav Immun Health, 9, 100146. DOI: 10.1016/j.bbih.2020.100146

Peng X, Wake M, Schultz MG, Burgner DP, Otahal P, Mynard JP, Ellul S, Cheung M, Liu RS, Juonala M, Sharman JE. (2020). Association of brachial-cuff excess pressure with carotid intima-media thickness in Australian adults: a cross-sectional study. J Hypertens, 38(4), 723 - 730. DOI: 10.1097/HJH.0000000000002310

Sweeney R, Chen G, Gold L, Mensah F, Wake M. (2020). Mapping PedsQLTM scores onto CHU9D utility scores: estimation, validation and a comparison of alternative instrument versions. Qual Life Res, 29(3), 639 - 652. DOI: 10.1007/s11136-019-02357-9

Wang J, Liu M, Sung V, Lycett K, Grobler A, Burgner D, Wong TY, Wake M. (2020). Associations of Retinal Vessel Caliber With Hearing Status in Childhood and Midlife: A Cross-Generational Population-Based Study. JAMA Otolaryngol Head Neck Surg, 146(4), 323 - 330. DOI: 10.1001/jamaoto.2019.4484

2019

Andraos S, Wake M, Saffery R, Burgner D, Kussmann M, O'Sullivan J. (2019). Perspective: Advancing Understanding of Population Nutrient-Health Relations via Metabolomics and Precision Phenotypes. Adv Nutr, 10(6), 944 - 952. DOI: 10.1093/advances/nmz045

Catchpool M, Gold L, Grobler AC, Clifford SA, Wake M. (2019). Health-related quality of life: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 157 - 164. DOI: 10.1136/bmjopen-2018-022398

Clifford SA, Davies S, Wake M, Child Health CheckPoint Team . (2019). Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children. BMJ Open, 9(Suppl 3), 3 - 22. DOI: 10.1136/bmjopen-2017-020261

Clifford SA, Gillespie AN, Olds T, Grobler AC, Wake M. (2019). Body composition: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 95 - 105. DOI: 10.1136/bmjopen-2018-023698

Dascalu J, Liu M, Lycett K, Grobler AC, He M, Burgner DP, Wong TY, Wake M. (2019). Retinal microvasculature: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 44 - 52. DOI: 10.1136/bmjopen-2018-022399

Davis A, Liu R, Kerr JA, Wake M, Grobler A, Juonala M, Liu M, Baur L, Burgner D, Lycett K. (2019). Inflammatory diet and preclinical cardiovascular phenotypes in 11-12 year-olds and mid-life adults: A cross-sectional population-based study. Atherosclerosis, 285, 93 - 101. DOI: 10.1016/j.atherosclerosis.2019.04.212

Dumuid D, Wake M, Clifford S, Burgner D, Carlin JB, Mensah FK, Fraysse F, Lycett K, Baur L, Olds T. (2019). The Association of the Body Composition of Children with 24-Hour Activity Composition. J Pediatr, 208, 43 - 49.e9. DOI: 10.1016/j.jpeds.2018.12.030

Ellul S, Wake M, Clifford SA, Lange K, Würtz P, Juonala M, Dwyer T, Carlin JB, Burgner DP, Saffery R. (2019). Metabolomics: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 106 - 117. DOI: 10.1136/bmjopen-2017-020900

Fraser BJ, Blizzard L, Tomkinson GR, Lycett K, Wake M, Burgner D, Ranganathan S, Juonala M, Dwyer T, Venn AJ, Olds T, Magnussen CG. (2019). The great leap backward: changes in the jumping performance of Australian children aged 11-12-years between 1985 and 2015. J Sports Sci, 37(7), 748 - 754. DOI: 10.1080/02640414.2018.1523672

Fraysse F, Grobler AC, Muller J, Wake M, Olds T. (2019). Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 136 - 146. DOI: 10.1136/bmjopen-2018-023194

Juonala M, Ellul S, Lawlor DA, Santos Ferreira DL, Carlin JB, Cheung M, Dwyer T, Wake M, Saffery R, Burgner DP. (2019). A Cross-Cohort Study Examining the Associations of Metabolomic Profile and Subclinical Atherosclerosis in Children and Their Parents: The Child Health CheckPoint Study and Avon Longitudinal Study of Parents and Children. J Am Heart Assoc, 8(14), e011852. DOI: 10.1161/JAHA.118.011852

Kahn FK, Wake M, Lycett K, Clifford S, Burgner DP, Goldsmith G, Grobler AC, Lange K, Cheung M. (2019). Vascular function and stiffness: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 34 - 43. DOI: 10.1136/bmjopen-2017-020896

Kerr JA, Jansen PW, Mensah FK, Gibbons K, Olds TS, Carlin JB, Clifford SA, Burgner D, Gold L, Baur LA, Wake M. (2019). Child and adult snack food intake in response to manipulated pre-packaged snack item quantity/variety and snack box size: a population-based randomized trial. Int J Obes (Lond), 43(10), 1891 - 1902. DOI: 10.1038/s41366-019-0407-z

Larkins NG, Kim S, Carlin JB, Grobler AC, Burgner DP, Lange K, Craig JC, Wake M. (2019). Albuminuria: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 75 - 84. DOI: 10.1136/bmjopen-2017-020262

Liu RS, Dunn S, Grobler AC, Lange K, Becker D, Goldsmith G, Carlin JB, Juonala M, Wake M, Burgner DP. (2019). Carotid artery intima-media thickness, distensibility and elasticity: population epidemiology and concordance in Australian children aged 11-12 years old and their parents. BMJ Open, 9(Suppl 3), 23 - 33. DOI: 10.1136/bmjopen-2017-020264

Liu RS, Wake M, Grobler A, Cheung M, Lycett K, Ranganathan S, Edwards B, Dwyer T, Azzopardi P, Juonala M, Burgner DP. (2019). Cross-sectional associations between Ideal Cardiovascular Health scores and vascular phenotypes in 11- to 12-year-olds and their parents: The Longitudinal Study of Australian Children. Int J Cardiol, 277, 258 - 265. DOI: 10.1016/j.ijcard.2018.11.020

Matricciani L, Fraysse F, Grobler AC, Muller J, Wake M, Olds T. (2019). Sleep: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 127 - 135. DOI: 10.1136/bmjopen-2017-020895

Nguyen MT, Lycett K, Vryer R, Burgner DP, Ranganathan S, Grobler AC, Wake M, Saffery R. (2019). Telomere length: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 118 - 126. DOI: 10.1136/bmjopen-2017-020263

Nguyen MT, Saffery R, Burgner D, Lycett K, Vryer R, Grobler A, Dwyer T, Ranganathan S, Wake M. (2019). Telomere length and lung function in a population-based cohort of children and mid-life adults. Pediatr Pulmonol, 54(12), 2044 - 2052. DOI: 10.1002/ppul.24489

Nguyen MT, Vryer R, Ranganathan S, Lycett K, Grobler A, Dwyer T, Juonala M, Saffery R, Burgner D, Wake M. (2019). Telomere Length and Vascular Phenotypes in a Population-Based Cohort of Children and Midlife Adults. J Am Heart Assoc, 8(11), e012707. DOI: 10.1161/JAHA.119.012707

Simm P, Dumuid D, Clifford S, Gell G, Olds T, Lycett K, Wake M. (2019). Body mass is important to bone health, but so is its distribution: associations between body composition and bone health measures in 11–12 year old children Obesity Research & Clinical Practice, 13(3), 320. DOI: 10.1016/j.orcp.2018.11.230

Smith J, Wang J, Grobler AC, Lange K, Clifford SA, Wake M. (2019). Hearing, speech reception, vocabulary and language: population epidemiology and concordance in Australian children aged 11 to 12 years and their parents. BMJ Open, 9(Suppl 3), 85 - 94. DOI: 10.1136/bmjopen-2018-023196

Vivarini P, Kerr JA, Clifford SA, Grobler AC, Jansen PW, Mensah FK, Baur LA, Gibbons K, Wake M. (2019). Food choices: concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 147 - 156. DOI: 10.1136/bmjopen-2017-020898

Vlok J, Simm PJ, Lycett K, Clifford SA, Grobler AC, Lange K, Ismail N, Osborn W, Wake M. (2019). pQCT bone geometry and strength: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 63 - 74. DOI: 10.1136/bmjopen-2018-022400

Wake M, Clifford SA. (2019). Population health bio-phenotypes in 11-12 year old children and their midlife parents: Growing Up in Australia's Child Health CheckPoint. BMJ Open, 9(Suppl 3), 1 - 2. DOI: 10.1136/bmjopen-2019-030833

Wang J, Nguyen MT, Sung V, Grobler A, Burgner D, Saffery R, Wake M. (2019). Associations Between Telomere Length and Hearing Status in Mid-Childhood and Midlife: Population-Based Cross-Sectional study. Ear Hear, 40(5), 1256 - 1259. DOI: 10.1097/AUD.0000000000000705

Wang J, Quach J, Sung V, Carew P, Edwards B, Grobler A, Gold L, Wake M. (2019). Academic, behavioural and quality of life outcomes of slight to mild hearing loss in late childhood: a population-based study. Arch Dis Child, 104(11), 1056 - 1063. DOI: 10.1136/archdischild-2019-316917

Wang J, Sung V, Carew P, Burt RA, Liu M, Wang Y, Afandi A, Wake M. (2019). Prevalence of Childhood Hearing Loss and Secular Trends: A Systematic Review and Meta-Analysis. Acad Pediatr, 19(5), 504 - 514. DOI: 10.1016/j.acap.2019.01.010

Wang J, Sung V, Carew P, Liu RS, Burgner D, Wake M. (2019). Inflammation and hearing status in mid-childhood and mid-life: a population-based cross-sectional study. Int J Epidemiol, 48(5), 1556 - 1566. DOI: 10.1093/ije/dyz023

Wang J, Sung V, le Clercq CMP, Burt RA, Carew P, Liu RS, Mensah FK, Gold L, Wake M. (2019). High prevalence of slight and mild hearing loss across mid-life: a cross-sectional national Australian study. Public Health, 168, 26 - 35. DOI: 10.1016/j.puhe.2018.11.017

Welsh L, Kathriachchige G, Raheem T, Grobler AC, Wake M, Ranganathan S. (2019). Lung function: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open, 9(Suppl 3), 53 - 62. DOI: 10.1136/bmjopen-2018-023486

2018

Osborn W, Simm P, Olds T, Lycett K, Mensah FK, Muller J, Fraysse F, Ismail N, Vlok J, Burgner D, Carlin JB, Edwards B, Dwyer T, Azzopardi P, Ranganathan S, Wake M. (2018). Bone health, activity and sedentariness at age 11-12 years: Cross-sectional Australian population-derived study. Bone, 112, 153 - 160. DOI: 10.1016/j.bone.2018.04.011

Wang J, le Clercq CMP, Sung V, Carew P, Liu RS, Mensah FK, Burt RA, Gold L, Wake M. (2018). Cross-sectional epidemiology of hearing loss in Australian children aged 11-12 years old and 25-year secular trends. Arch Dis Child, 103(6), 579 - 585. DOI: 10.1136/archdischild-2017-313505

Wang J, Sung V, Lycett K, Carew P, Liu RS, Grobler A, Zubrick SR, Olds T, Wake M. (2018). How body composition influences hearing status by mid-childhood and mid-life: The Longitudinal Study of Australian Children. Int J Obes (Lond), 42(10), 1771 - 1781. DOI: 10.1038/s41366-018-0170-6

2017

Liu RS, Mensah FK, Carlin J, Edwards B, Ranganathan S, Cheung M, Dwyer T, Saffery R, Magnussen CG, Juonala M, Wake M, Burgner DP, Child Health CheckPoint Investigator Group . (2017). Socioeconomic Position Is Associated With Carotid Intima-Media Thickness in Mid-Childhood: The Longitudinal Study of Australian Children. J Am Heart Assoc, 6(8). DOI: 10.1161/JAHA.117.005925

Rueb K, Mynard J, Liu R, Wake M, Vuillermin P, Ponsonby A-L, Zannino D, Burgner DP. (2017). Changes in carotid artery intima-media thickness during the cardiac cycle - a comparative study in early childhood, mid-childhood, and adulthood. Vasa, 46(4), 275 - 281. DOI: 10.1024/0301-1526/a000630

Wong M, Olds T, Gold L, Lycett K, Dumuid D, Muller J, Mensah FK, Burgner D, Carlin JB, Edwards B, Dwyer T, Azzopardi P, Wake M, LSAC’s Child Health CheckPoint Investigator Group . (2017). Time-Use Patterns and Health-Related Quality of Life in Adolescents. Pediatrics, 140(1). DOI: 10.1542/peds.2016-3656

0

Elhakeem A, Ronkainen J, Mansell T, Lange K, Mikkola T, Mishra BH, Wahab R, Cadman T, Yang T, Burgner D, Eriksson JG, Järvelin M-R, Gaillard R, Jaddoe VW, Lehtimäki T, Raitakari OT, Saffery R, Wake M, Wright J, Sebert S, Lawlor DA. (). Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study . DOI: 10.1101/2022.04.05.22273388

Study Contacts
Principal investigator/s	Melissa Wake
Study Contact	Ph: +613 9936 6464 Email: LSAC.ChildHealthCheckPoint@mcri.edu.au Address: Child Health CheckPoint Murdoch Children's Research Institute, Royal Children’s Hospital Flemington Road, Parkville Victoria 3052 Australia