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评估澳大利亚昆士兰州学龄前儿童出勤率与儿童发育脆弱性之间的空间结构关联。

Assessing the spatial structure of the association between attendance at preschool and children's developmental vulnerabilities in Queensland, Australia.

机构信息

School of Mathematical Science, Center for Data Science, Queensland University of Technology, Queensland, Australia.

Children's Health Queensland, Queensland, Australia.

出版信息

PLoS One. 2023 Aug 9;18(8):e0285409. doi: 10.1371/journal.pone.0285409. eCollection 2023.

Abstract

Demographic and educational factors are essential, influential factors of early childhood development. This study aimed to investigate spatial patterns in the association between attendance at preschool and children's developmental vulnerabilities in one or more domain(s) in their first year of full-time school at a small area level in Queensland, Australia. This was achieved by applying geographically weighted regression (GWR) followed by K-means clustering of the regression coefficients. Three distinct geographical clusters were found in Queensland using the GWR coefficients. The first cluster covered more than half of the state of Queensland, including the Greater Brisbane region, and displays a strong negative association between developmental vulnerabilities and attendance at preschool. That is, areas with high proportions of preschool attendance tended to have lower proportions of children with at least one developmental vulnerability in the first year of full-time school. Clusters two and three were characterized by stronger negative associations between developmental vulnerabilities, English as the mother language, and geographic remoteness, respectively. This research provides evidence of the need for collaboration between health and education sectors in specific regions of Queensland to update current service provision policies and to ensure holistic and appropriate care is available to support children with developmental vulnerabilities.

摘要

人口统计学和教育因素是儿童早期发展的重要影响因素。本研究旨在调查在澳大利亚昆士兰州的一个小区域水平上,儿童在全日制学校的第一年中,在一个或多个领域(领域)的发展脆弱性与上幼儿园的关联的空间模式。这是通过应用地理加权回归(GWR)并对回归系数进行 K-均值聚类来实现的。本研究使用 GWR 系数在昆士兰州发现了三个不同的地理集群。第一个集群覆盖了昆士兰州的一半以上,包括大布里斯班地区,并且在发展脆弱性和上幼儿园之间存在很强的负相关关系。也就是说,上幼儿园比例较高的地区,在全日制学校的第一年中,至少有一个发展脆弱性的儿童比例较低。集群二和集群三的特点分别是发展脆弱性、英语作为母语和地理偏远性之间的负相关关系更强。这项研究提供了证据,表明昆士兰州的特定地区需要卫生和教育部门之间的合作,以更新当前的服务提供政策,并确保提供全面和适当的护理,以支持有发展脆弱性的儿童。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46da/10411799/5a6754edce89/pone.0285409.g001.jpg

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