Longitudinal Study of Australian Children (LSAC)’s Child Health CheckPoint (CheckPoint-LSAC)
The Longitudinal Study of Australian Children (LSAC)'s Child Health CheckPoint was a one-off physical health check-in conducted during 2015-16 of the Growing Up in Australia study. The aim is to learn more about the health of young Australians as they pass through the ‘checkpoint’ between being children and teenagers. Therefore, it involved the younger LSAC children, born in 2003-4. Because the CheckPoint needed special equipment and skills, its staff are from the Murdoch Children’s Research Institute and are supervised by Growing Up in Australia’s senior health researchers.
LSAC’s main waves have happened every 2 years since 2004. Between the 6th and 7th wave, the 11 and 12 year olds took part in health activities which will enable researchers to learn about heart and lung health, fitness, strength, vision, diet, activity, and more.
Year | 2004 | 2006 | 2008 | 2010 | 2012 | 2014 | 2015-2016 | 2016 | 2018 | 2020-Ongoing |
---|---|---|---|---|---|---|---|---|---|---|
Wave | 1 | 2 | 3 | 4 | 5 | 6 | CheckPoint | 7 | 8 | 9C |
Age | 3-19 months | 2-3 years | 4-5 years | 6-7 years | 8-9 years | 10-11 years | 11-12 years | 12-13 years | 14-15 years | 16-18 years |
N | 5107 | 4606 | 4386 | 4242 | 4085 | 3764 | 1874 | 3381 | 3127 | in progress |
RELEVANT LIFECOURSE DOMAINS | Allergies | |||||||||
Anthropometrics | ||||||||||
Bioanalyses and omics | ||||||||||
Biosamples | ||||||||||
Cardiovascular health | ||||||||||
Community environment | ||||||||||
Demographics | ||||||||||
Education and childcare | ||||||||||
Environmental exposures | ||||||||||
Family environment | ||||||||||
Health services | ||||||||||
Hearing | ||||||||||
Imaging | ||||||||||
Medications and supplements | ||||||||||
Mental health and behaviour problems | ||||||||||
Methodology | ||||||||||
Neurocognitive development | ||||||||||
Nutrition | ||||||||||
Other health information | ||||||||||
Physical activity | ||||||||||
Physical appearance | ||||||||||
Psychosocial wellbeing | ||||||||||
Puberty | ||||||||||
Respiratory health | ||||||||||
Screen and technology use | ||||||||||
Sleep | ||||||||||
Speech and language |
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). |
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) |
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 Medicine, 21(1), 23. DOI: 10.1186/s12916-022-02711-8
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 JAMA Otolaryngology - Head & Neck Surgery, 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 Environmental Pollution, 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, Team OBOTCC. (2022). Fat-Soluble Vitamers: Parent-Child Concordance and Population Epidemiology in the Longitudinal Study of Australian Children Nutrients, 14(23), 4990. DOI: 10.3390/nu14234990
Dumuid D, Olds T, Wake M, Rasmussen CL, Pedišić Ž, Hughes JH, Foster DJ, Walmsley R, Atkin AJ, Straker L, Fraysse F, Smith RT, Neumann F, Kenett RS, Mork PJ, 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
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. (2022). 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
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? International Journal of Obesity, 46(7), 1375 - 1383. DOI: 10.1038/s41366-022-01130-2
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 Behavior & Immunity - Health, 26, 100550. DOI: 10.1016/j.bbih.2022.100550
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? International Journal of Obesity, 46(6), 1188 - 1195. DOI: 10.1038/s41366-022-01080-9
2021
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), 821. 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 Scientific Reports, 11(1), 3619. DOI: 10.1038/s41598-020-80923-9
Dumuid D, Olds T, Lange K, Edwards B, Lycett K, Burgner DP, Simm P, Dwyer T, Le H, Wake M. (2021). Goldilocks Days: optimising children’s time use for health and well-being Journal of Epidemiology & Community Health, 76(3), 301 - 308. DOI: 10.1136/jech-2021-216686
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 International Journal of Obesity, 45(7), 1392 - 1403. DOI: 10.1038/s41366-021-00800-x
Le HN, Mensah F, Eadie P, Sciberras E, Bavin EL, Reilly S, Wake M, Gold L. (2021). Health-related quality of life of caregivers of children with low language: Results from two Australian population-based studies International Journal of Speech-Language Pathology, 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. (2021). Does an inflammatory diet affect mental well-being in late childhood and mid-life? A cross-sectional study British Journal Of Nutrition, 127(6), 939 - 947. DOI: 10.1017/s0007114521001616
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), e2020025395. DOI: 10.1542/peds.2020-025395
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 Paediatrica, 110(6), 1880 - 1889. DOI: 10.1111/apa.15813
Stormon N, Clifford S, Lange K, Mangoyana C, Ford P, Wake M, Lalloo R. (2021). Oral health: Epidemiology and concordance in Australian children and parents Community Dentistry And Oral Epidemiology, 50(4), 260 - 269. DOI: 10.1111/cdoe.12662
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. Journal of Developmental and Behavioral Pediatrics, 42(7), 588 - 596. DOI: 10.1097/dbp.0000000000000931
2020
Andraos S, Jones B, Lange K, Clifford SA, Thorstensen EB, Kerr JA, Wake M, Saffery R, Burgner DP, O'Sullivan JM. (2020). Trimethylamine N-oxide (TMAO) Is not Associated with Cardiometabolic Phenotypes and Inflammatory Markers in Children and Adults Current Developments in Nutrition, 5(1), nzaa179. DOI: 10.1093/cdn/nzaa179
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 Journal of Bone and Mineral Research, 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 Frontiers in Genetics, 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 Archives of Disease in Childhood, 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 Scientific Reports, 10(1), 5006. DOI: 10.1038/s41598-020-61801-w
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? International Journal of Obesity, 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), e20193666. 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 Medicine, 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, Group TBI, Vuillermin P, Tang MLK, Saffery R, Carlin J, Harrison L. (2020). Exposure to adversity and inflammatory outcomes in mid and late childhood Brain Behavior & Immunity - Health, 9, 100146. DOI: 10.1016/j.bbih.2020.100146
Peng X, Picone DS, Schultz MG, Cai G, Wake M, Burgner DP, Mynard JP, Ellul S, Cheung M, Juonala M, Sharman JE. (2020). Brachial-cuff excess pressure is associated with carotid intima-media thickness among Australian children: a cross-sectional population study Hypertension Research, 44(5), 541 - 549. DOI: 10.1038/s41440-020-00576-z
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. Journal of Hypertension, 38(4), 723 - 730. DOI: 10.1097/hjh.0000000000002310
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 JAMA Otolaryngology - Head & Neck Surgery, 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 Advances in Nutrition, 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, Azzopardi PS, Baur LA, Burgner DP, Carlin JB, Cheung M, Dwyer T, Edwards B, Ellul S, Gillespie AN, Gold L, Grobler AC, Kerr JA, Lycett K, Lange K, Mensah FK, Olds TS, Ranganathan S, Rogers H, Saffery R, Sawyer M, Simm PJ, Stevens L, Wong TY, Zubrick SR. (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 The Journal of Pediatrics, 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
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, Ferreira DLS, 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 Journal of the American Heart Association, 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 International Journal of Obesity, 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 M, Lycett K, Wake M, He M, Kerr JA, Saffery R, Juonala M, Olds T, Dwyer T, Burgner DP, Wong TY. (2019). Cardiovascular health and retinal microvascular geometry in Australian 11–12 year-olds Microvascular Research, 129, 103966. DOI: 10.1016/j.mvr.2019.103966
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
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 Pediatric Pulmonology, 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 Journal of the American Heart Association, 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
Sweeney R, Chen G, Gold L, Mensah F, Wake M. (2019). Mapping PedsQLTM scores onto CHU9D utility scores: estimation, validation and a comparison of alternative instrument versions Quality of Life Research, 29(3), 639 - 652. DOI: 10.1007/s11136-019-02357-9
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 & Hearing, 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 Archives of Disease in Childhood, 104(11), 1056. 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 Academic Pediatrics, 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 International Journal of Epidemiology, 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
Fraser BJ, Blizzard L, Tomkinson GR, Lycett K, Wake M, Burgner D, Ranganathan S, Juonala M, Dwyer T, Venn AJ, Olds T, Magnussen CG. (2018). The great leap backward: changes in the jumping performance of Australian children aged 11−12-years between 1985 and 2015 Journal of Sports Sciences, 37(7), 748 - 754. DOI: 10.1080/02640414.2018.1523672
Liu RS, Wake M, Grobler A, Cheung M, Lycett K, Ranganathan S, Edwards B, Dwyer T, Azzopardi P, Juonala M, Burgner DP. (2018). 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 International Journal of Cardiology, 277, 258 - 265. DOI: 10.1016/j.ijcard.2018.11.020
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 Archives of Disease in Childhood, 103(6), 579. 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 International Journal of Obesity, 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, Group TCHCI, Olds T, Baur L, Gold L, Lycett K, Kerr JA, Davies S. (2017). Socioeconomic Position Is Associated With Carotid Intima–Media Thickness in Mid‐Childhood: The Longitudinal Study of Australian Children Journal of the American Heart Association, 6(8), e005925. 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. (2017). Time-Use Patterns and Health-Related Quality of Life in Adolescents Pediatrics, 140(1), e20163656. DOI: 10.1542/peds.2016-3656
Study Contacts | |
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Principal investigator/s |
Melissa Wake |
Study Contact |
Ph: +613 9936 6464 |