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Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort

BACKGROUND: Screening and surveillance of development are integral to ensuring effective early identification and intervention strategies for children with vulnerabilities. However, not all developmental skills have reliable screening processes, such as early language ability. METHOD: We describe ho...

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Autores principales: Eadie, Patricia, Levickis, Penny, McKean, Cristina, Westrupp, Elizabeth, Bavin, Edith L., Ware, Robert S., Gerner, Bibi, Reilly, Sheena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854765/
https://www.ncbi.nlm.nih.gov/pubmed/35186809
http://dx.doi.org/10.3389/fped.2022.826817
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author Eadie, Patricia
Levickis, Penny
McKean, Cristina
Westrupp, Elizabeth
Bavin, Edith L.
Ware, Robert S.
Gerner, Bibi
Reilly, Sheena
author_facet Eadie, Patricia
Levickis, Penny
McKean, Cristina
Westrupp, Elizabeth
Bavin, Edith L.
Ware, Robert S.
Gerner, Bibi
Reilly, Sheena
author_sort Eadie, Patricia
collection PubMed
description BACKGROUND: Screening and surveillance of development are integral to ensuring effective early identification and intervention strategies for children with vulnerabilities. However, not all developmental skills have reliable screening processes, such as early language ability. METHOD: We describe how a set of early life factors used in a large, prospective community cohort from Australia are associated with language abilities across the preschool years, and determine if either an accumulation of risk factors or a clustering of risk factors provide a feasible approach to surveillance of language development in preschool children. RESULTS: There were 1,208 children with a 7-year language outcome. The accumulation of early life factors increased the likelihood of children having low language skills at 7-years. Over a third of children with typical language skills (36.6%) had ≤ two risks and half of the children with low language (50%) had six or more risks. As the number of factors increases the risk of having low language at 7-years increases, for example, children with six or more risks had 17 times greater risk, compared to those with ≤ two risks. Data collected from 1,910 children at 8- to 12-months were used in the latent class modeling. Four profile classes (or groups) were identified. The largest group was developmentally enabled with a supportive home learning environment (56.2%, n = 1,073). The second group was vulnerable, both developmentally and in their home learning environment (31.2%, n = 596); the third group was socially disadvantaged with a vulnerable home learning environment (7.4%, n = 142); the final group featured maternal mental health problems and vulnerable child socio-emotional adjustment (5.2%, n = 99). Compared to developmentally enabled children, the risk of low language at 7-years was greater for children in the three other groups. CONCLUSION: The cumulative and cluster risk analyses demonstrate the potential to use developmental surveillance to identify children within the first years of life who are at risk of language difficulties. Importantly, parent-child interaction and the home learning environment emerged as a consistent cluster. We recommend they be adopted as the common focus for early intervention and universal language promotion programs.
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spelling pubmed-88547652022-02-19 Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort Eadie, Patricia Levickis, Penny McKean, Cristina Westrupp, Elizabeth Bavin, Edith L. Ware, Robert S. Gerner, Bibi Reilly, Sheena Front Pediatr Pediatrics BACKGROUND: Screening and surveillance of development are integral to ensuring effective early identification and intervention strategies for children with vulnerabilities. However, not all developmental skills have reliable screening processes, such as early language ability. METHOD: We describe how a set of early life factors used in a large, prospective community cohort from Australia are associated with language abilities across the preschool years, and determine if either an accumulation of risk factors or a clustering of risk factors provide a feasible approach to surveillance of language development in preschool children. RESULTS: There were 1,208 children with a 7-year language outcome. The accumulation of early life factors increased the likelihood of children having low language skills at 7-years. Over a third of children with typical language skills (36.6%) had ≤ two risks and half of the children with low language (50%) had six or more risks. As the number of factors increases the risk of having low language at 7-years increases, for example, children with six or more risks had 17 times greater risk, compared to those with ≤ two risks. Data collected from 1,910 children at 8- to 12-months were used in the latent class modeling. Four profile classes (or groups) were identified. The largest group was developmentally enabled with a supportive home learning environment (56.2%, n = 1,073). The second group was vulnerable, both developmentally and in their home learning environment (31.2%, n = 596); the third group was socially disadvantaged with a vulnerable home learning environment (7.4%, n = 142); the final group featured maternal mental health problems and vulnerable child socio-emotional adjustment (5.2%, n = 99). Compared to developmentally enabled children, the risk of low language at 7-years was greater for children in the three other groups. CONCLUSION: The cumulative and cluster risk analyses demonstrate the potential to use developmental surveillance to identify children within the first years of life who are at risk of language difficulties. Importantly, parent-child interaction and the home learning environment emerged as a consistent cluster. We recommend they be adopted as the common focus for early intervention and universal language promotion programs. Frontiers Media S.A. 2022-02-04 /pmc/articles/PMC8854765/ /pubmed/35186809 http://dx.doi.org/10.3389/fped.2022.826817 Text en Copyright © 2022 Eadie, Levickis, McKean, Westrupp, Bavin, Ware, Gerner and Reilly. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Eadie, Patricia
Levickis, Penny
McKean, Cristina
Westrupp, Elizabeth
Bavin, Edith L.
Ware, Robert S.
Gerner, Bibi
Reilly, Sheena
Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort
title Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort
title_full Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort
title_fullStr Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort
title_full_unstemmed Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort
title_short Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort
title_sort developing preschool language surveillance models - cumulative and clustering patterns of early life factors in the early language in victoria study cohort
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854765/
https://www.ncbi.nlm.nih.gov/pubmed/35186809
http://dx.doi.org/10.3389/fped.2022.826817
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