2017
DOI: 10.1177/0004867417740208
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Latent profiles of early developmental vulnerabilities in a New South Wales child population at age 5 years

Abstract: Patterns of early childhood developmental vulnerabilities may provide useful indicators for particular mental disorder outcomes in later life, although their predictive utility in this respect remains to be established in longitudinal follow-up of the cohort.

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Cited by 28 publications
(34 citation statements)
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“…Class membership was determined via probability indicators (γ) and the associated item-response probabilities (ρ) for vulnerability indicators (see Supplementary Tables S2 and S3). The prevalence of the four putative early childhood risk classes in the current NSW sample is shown in Table 1, confirming our previously published solution in an earlier stage of NSW-CDS record linkages, where the initial LCA was limited to (n = 67,353) children with available parent data (Green et al, 2018b).…”
Section: Exposuressupporting
confidence: 85%
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“…Class membership was determined via probability indicators (γ) and the associated item-response probabilities (ρ) for vulnerability indicators (see Supplementary Tables S2 and S3). The prevalence of the four putative early childhood risk classes in the current NSW sample is shown in Table 1, confirming our previously published solution in an earlier stage of NSW-CDS record linkages, where the initial LCA was limited to (n = 67,353) children with available parent data (Green et al, 2018b).…”
Section: Exposuressupporting
confidence: 85%
“…We also note the unavailability of linked child and parental health data for those not born in NSW or who may have since moved interstate. Second, we did not report models including risk factors related to perinatal adversities, despite their known associations with later onset mental illness (Fitzsimons et al, 2017;Tearne et al, 2015); we have already demonstrated the relatively small effects of these early life risk factors on age five developmental risk profiles (Green et al, 2018b). Third, we assigned children to their most likely LCA class for analysis, which can produce bias, although this is unlikely given the high probabilities with which children were originally classified by the LCA model.…”
Section: Discussionmentioning
confidence: 99%
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“…Children's well-being, or lack of it, sets the path for their further development, which makes it imperative to identify, at an early age, those children who are in need of support services (Green et al 2018(Green et al , 2020Kovan et al 2014;McKee and Dillenburger 2012;Pölkki and Vornanen 2016;Treacy and Nohilly 2020). As Bartlett and Smith (2019) discussed, vulnerabilities caused by various traumas during the child's first years are widespread.…”
Section: Introductionmentioning
confidence: 99%