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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

OBJECTIVE: Early 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. DESIGN: A ret...

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Autores principales: Taylor, Catherine Louise, Christensen, Daniel, Stafford, Joel, Venn, Alison, Preen, David, Zubrick, Stephen Rade
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245408/
https://www.ncbi.nlm.nih.gov/pubmed/32312726
http://dx.doi.org/10.1136/bmjopen-2019-033795
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author Taylor, Catherine Louise
Christensen, Daniel
Stafford, Joel
Venn, Alison
Preen, David
Zubrick, Stephen Rade
author_facet Taylor, Catherine Louise
Christensen, Daniel
Stafford, Joel
Venn, Alison
Preen, David
Zubrick, Stephen Rade
author_sort Taylor, Catherine Louise
collection PubMed
description OBJECTIVE: Early 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. DESIGN: A retrospective cohort study. SETTING: Population-wide linkage of administrative data records for children born in Tasmania, Australia in 2008–2010. PARTICIPANTS: The 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. RESULTS: Latent 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. CONCLUSIONS: The 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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spelling pubmed-72454082020-06-03 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 Taylor, Catherine Louise Christensen, Daniel Stafford, Joel Venn, Alison Preen, David Zubrick, Stephen Rade BMJ Open Epidemiology OBJECTIVE: Early 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. DESIGN: A retrospective cohort study. SETTING: Population-wide linkage of administrative data records for children born in Tasmania, Australia in 2008–2010. PARTICIPANTS: The 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. RESULTS: Latent 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. CONCLUSIONS: The 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. BMJ Publishing Group 2020-04-20 /pmc/articles/PMC7245408/ /pubmed/32312726 http://dx.doi.org/10.1136/bmjopen-2019-033795 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Taylor, Catherine Louise
Christensen, Daniel
Stafford, Joel
Venn, Alison
Preen, David
Zubrick, Stephen Rade
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245408/
https://www.ncbi.nlm.nih.gov/pubmed/32312726
http://dx.doi.org/10.1136/bmjopen-2019-033795
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