ArticleBMJ open2019
Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study.BMC medicine · 2023Pooled it
- Impact of Distinct Antiandrogen Exposures on the Plasma Metabolome in Feminizing Gender-affirming Hormone Therapy.The Journal of clinical endocrinology and metabolism · 2024Trial
- 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 (2005) · 2019Trial
- Estimating the healthcare costs of overweight and obesity amongst Australian children.Internal medicine journal · 2026Article
- Association of physical and social neighbourhood environment with movement behaviours among schoolchildren: a compositional data analysis.The international journal of behavioral nutrition and physical activity · 2026Article
- Rasch analysis of the self-reported PedsQL™ 4.0 Generic Core Scales by Australian children.Health and quality of life outcomes · 2025Article
- Cohort Profile: Growing up in Australia: the Longitudinal Study of Australian Children (LSAC).International journal of epidemiology · 2025Article
- Article
- Polygenic and developmental profiles of autism differ by age at diagnosis.medRxiv : the preprint server for health sciences · 2025Article
- Maternal Smoking Intensity During Pregnancy and Early Adolescent Cardiovascular Health.Journal of the American Heart Association · 2025Article
- Socioeconomic disadvantage and polygenic risk of overweight in early and mid-life: a longitudinal population cohort study spanning 12 years.The Lancet regional health. Western Pacific · 2024Article
- Polygenic Risk Scores and Hearing Loss Phenotypes in Children.JAMA otolaryngology-- head & neck surgery · 2024Article
- Improving the identification of bone-specific physical activity using wrist-worn accelerometry: A cross-sectional study in 11-12-year-old Australian children.European journal of sport science · 2024Article
- The Accumulative Effect of Multiple Postnatal Risk Factors with the Risk of Being Overweight/Obese in Late Childhood.Nutrients · 2024Article
- Raw Acceleration from Wrist- and Hip-Worn Accelerometers Corresponds with Mechanical Loading in Children and Adolescents.Sensors (Basel, Switzerland) · 2023Article
- Branched-chain amino acids and sleep: a population-derived study of Australian children aged 11-12 years and their parents.Journal of sleep research · 2023Article
- The effect of adverse and positive experiences on inflammatory markers in Australian and UK children.Brain, behavior, & immunity - health · 2022Article
- Fat-Soluble Vitamers: Parent-Child Concordance and Population Epidemiology in the Longitudinal Study of Australian Children.Nutrients · 2022Article
- Data Resource Profile: Melbourne Children's LifeCourse initiative (LifeCourse).International journal of epidemiology · 2022Article
- Associations between meeting 24-hour movement guidelines and academic achievement in Australian primary school-aged children.Journal of sport and health science · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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
participantsLSAC 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.
results1874 (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%).
conclusionsCheckPoint 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.
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