Where are the vulnerable children? Identification and comparison of clusters of young children with health and developmental vulnerabilities across Queensland. by Wala Draidi Areed, Aiden Price, Kathryn Arnett, Kerrie Mengersen, Helen Thompson

“…This was achieved by carrying out a K-means analysis on data from the Australian Early Development Census and the Australian Bureau of Statistics. …”
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School readiness of maltreated children: Timing, type, and chronicity of maltreatment by Megan Bell, Donna Bayliss, Rebecca Glauert, Jeneva Ohan

“…An understanding of how different dimensions of maltreatment relate to children’s school readiness is important for informing appropriate supports for maltreated Objectives and Approach In this study, the Australian Early Development Census scores of 19,203 children were linked to information on child maltreatment allegations (substantiated and unsubstantiated), including the type of alleged maltreatment, the timing of the allegation (infancy-toddlerhood or preschool), and the total number of allegations (chronicity). …”
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The Developmental and Educational Impact of Hearing Impairment in Aboriginal Children Living in Remote Australia – A Data Linkage Study by Md Shajedur Rahman Shawon

“…The outcome measures were Australian Early Development Census (AEDC) results, representing developmental outcomes at around age 5 years; Year 1 school attendance rates; and, National Assessment Program – Literacy and Numeracy (NAPLAN) results for Year 3 for academic achievement. …”
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Consent to Data Linkage in LSAC by Dinusha Bandara, Michelle Silbert, Galina Daraganova

“…Nearly 90% of B cohort parents provided consent to link Australian Early Development Census (AEDC)/National Assessment Program – Literacy and Numeracy (NAPLAN) and 95.4% of K cohort parents provided consent to link NAPLAN. …”
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The Impact of Family and Domestic Violence on Children’s Early Developmental Outcomes by Carol Orr, Colleen Fisher, Rebecca Glauert, David Preen, Melissa O’Donnell

“…Objectives and approach Our cohort study used longitudinal population-level data from Western Australia Police and hospital data to identify FDV, these datasets were genealogically linked to the children and their Australian Early Development Census (AEDC) to investigate the early development outcomes of Western Australian children born 2002-2010 (N=6,955). …”
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Factors predicting out-of-school suspensions for young children by Megan Bell, Donna Bayliss, Rebecca Glauert, Jeneva Ohan

“…Multilevel logistic regressions were run, grouped by school, with out-of-school suspensions predicted by: child and parent demographic characteristics; a measure of children’s school-entry development (the Australian Early Development Census); and indicators of family risk (parental psychiatric hospitalizations, parental criminal offending, child maltreatment). …”
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Developmental vulnerability at age five among children who enter and progress through the child protection system in New South Wales, Australia: a cross-sectoral data linkage study by Kathleen Falster, Mark Hanly, Rhiannon Pilkington, Marilyn Chilvers, Elizabeth Whittaker, John Lynch

“…We used Australian Early Development Census (AEDC) data linked to cross-sectoral population datasets in NSW, including birth registrations, perinatal, and child protection notification and out-of-home care (OOHC) placement data. …”
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Social and geographical inequalities in school starting age in Australia: a population data linkage study by Mark Hanly, Kathleen Falster, Rhonda Craven, Louisa Jorm

“…Approach The ‘Seeding Success’ study cohort (N=154,936) includes an almost complete population of children who started school in NSW in 2009 or 2012, and were born in NSW, identified by linking the Australian Early Development Census (AEDC) data to perinatal and birth registry data. …”
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Severe parental mental illness is associated with lower school readiness in offspring: A linked data study by Megan Bell, Donna Bayliss, Rebecca Glauert, Amanda Harrison, Jeneva Ohan

“…Approach Data from the Australian Early Development Census (AEDC) was used as a measure of early childhood development in five domains (physical health, social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge). …”
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Preschool attendance and early childhood development outcomes in the first year of school for Aboriginal and non-Aboriginal children in New South Wales, Australia by Mikaela Jorgensen, Kathleen Falster, Mark Hanly, Sharon Goldfeld, Louisa Jorm, Rhonda Craven

“…These children were born in NSW and had an Australian Early Development Census (AEDC) checklist completed by their teacher in their first year of school in NSW in 2009 and 2012 (n=154,936). …”
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The Use of administrative record linkage to examine patterns of universal early childhood health and education service use from birth to Kindergarten (age 4 years) and developmenta... by Catherine Louise Taylor, Daniel Christensen, Alison Venn, David Preen, Joel Stafford, Emily Hansen, Kim Jose, Stephen Zubrick

“…Methods A retrospective cohort study that used population-wide linkage of health and education administrative data records for 5,440 children with a Tasmanian 2015 Australian Early Development Census (AEDC) record who were born in Tasmania (2008-2010). …”
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Maternal age and child development outcomes at age five in Australian Aboriginal and non-Aboriginal children: a population data linkage study by Kathleen Falster, Mark Hanly, Emily Banks, John Lynch, Mikaela Jorgensen, Marni Brownell, Louisa Jorm

“…Approach The ‘Seeding Success’ study cohort comprises an almost complete population of children who started school in Australia’s most populous state, New South Wales (NSW), in 2009 or 2012, and were born in NSW, identified by linking Australian Early Development Census (AEDC) data to perinatal and birth registration datasets. …”
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Relative risks of childhood developmental vulnerabilities in three Australian communities with exposure to per- and polyfluoroalkyl substances: data linkage study by Hsei Di Law, Bruce Armstrong, Catherine D'este, Rose Hosking, Kayla Smurthwaite, Susan Trevenar, Nina Lazarevic, Robyn Lucas, Archie Clements, Martyn Kirk, Rosemary Korda

“…Methods All children identified in the Medicare Enrolment File-a consumer directory for Australia's universal healthcare insurance scheme-who ever lived in exposure areas, and a sample of children who ever lived in selected comparison areas, were linked to the Australian Early Development Census (AEDC). The AEDC data were available from four cycles: 2009, 2012, 2015 and 2018. …”
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