ArticleBMJ open2020
Associations between clusters of early life risk factors and developmental vulnerability at age 5: a retrospective cohort study using population-wide linkage of administrative data in Tasmania, Australia.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Population Approaches to Promoting Relational Health From Early Life.Clinical child and family psychology review · 2026Article
- Reduced social support perpetuates disadvantage across the lifespan for Australian women.BMC women's health · 2025Article
- Perinatal and Childhood Risk Factors of Adverse Early Childhood Developmental Outcomes: A Systematic Review Using a Socioecological Model.Children (Basel, Switzerland) · 2025Review
- Developmental vulnerability in children from culturally and linguistically diverse backgrounds in Western Australia: a population-based study.World journal of pediatrics : WJP · 2025Article
- Clustering of circumstances during the first 1000 days after conception and their association with school performance: a population-based cohort study from the Netherlands.BMJ public health · 2025Article
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- Prevalence and predictors of developmental health difficulties within New Zealand preschool-aged children: a latent profile analysis.Journal of the Royal Society of New Zealand · 2023Article
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- Parental perspective on important health outcomes of extremely preterm infants.Archives of disease in childhood. Fetal and neonatal edition · 2022Article
- Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort.Frontiers in pediatrics · 2022Article
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Authors and funding
6 authors.
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Abstract
objectiveEarly childhood is a critical time to address risk factors associated with developmental vulnerability. This study investigated the associations between clusters of early life risk factors and developmental vulnerability in children's first year of full-time school at age 5.
designA retrospective cohort study.
settingPopulation-wide linkage of administrative data records for children born in Tasmania, Australia in 2008-2010.
participantsThe cohort comprised 5440 children born in Tasmania in 2008-2010, with a Tasmanian 2015 Australian Early Development Census (AEDC) record and a Tasmanian Perinatal Collection record. OUTCOME MEASURE: The AEDC is a national measure of child development across five domains: physical health and well-being, social competence, emotional maturity, language and cognitive skills (school-based), and communication skills and general knowledge. Children who scored below the 10th percentile on one or more AEDC domains were classified as developmentally vulnerable. Children with special needs are not included in the AEDC results.
resultsLatent class analysis identified five clusters of risk factors: low risks (65% of children), sociodemographic and health behaviour risks (24%), teenage mother and sociodemographic risks (6%), birth risks (3%), and birth, sociodemographic and health behaviour risks (2%). In this sample population, 20% of children were classified as developmentally vulnerable, but the proportion varied substantially by latent class. Logistic regression showed increased odds of developmental vulnerability associated with sociodemographic and health behaviour risks (OR 2.26, 95% CI 1.91 to 2.68, p<0.001), teenage mother and sociodemographic risks (OR 2.01, 95% CI 1.50 to 2.69, p<0.001), and birth, sociodemographic and health behaviour risks (OR 3.29, 95% CI 2.10 to 5.16. p<0.001), but not birth risks (OR 1.34, 95% CI 0.88 to 2.03, p=0.1649), relative to the reference group.
conclusionsThe patterning of risks across the five groups invites consideration of multisectoral policies and services to address complex clusters of risk factors associated with developmental vulnerability.
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