Centre for Community Child Health, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.
Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.
J Epidemiol Community Health. 2018 Mar;72(3):223-229. doi: 10.1136/jech-2017-209036. Epub 2017 Dec 20.
Child health and developmental inequities exist in all countries. Comprehensive and robust concepts of disadvantage are fundamental to growing an evidence base that can reveal the extent of inequities in childhood, and identify modifiable leverage points for change. We conceptualise and test a multidimensional framework of child disadvantage aligned to a social determinants and bioecological perspective.
The Longitudinal Study of Australian Children is a nationally representative sample of two cohorts of Australian children, including the birth cohort of 5107 infants, which commenced in May 2004. The analysis focused on disadvantage indicators collected at age 4-5 years. Confirmatory factor analysis was used to test a theoretically informed model of disadvantage. Concurrent validity was examined through associations with academic performance at 8-9 years.
The model comprising four latent factors of sociodemographic (10 indicators), geographical environments (three indicators), health conditions (three indicators) and risk factors (14 indicators) was found to provide a better fit for the data than alternative models. Each factor was associated with academic performance, providing evidence of concurrent validity.
The study provides a theoretically informed and empirically tested framework for operationalising relative child disadvantage. Understanding and addressing inequities will be facilitated by capturing the complexity of children's experiences of disadvantage across the multiple environments in which their development unfolds.
儿童健康和发展方面的不平等在所有国家都存在。全面而有力的劣势概念是扩大证据基础的基础,该证据基础可以揭示儿童不平等的程度,并确定可改变的变革杠杆点。我们从社会决定因素和生物生态的角度出发,构想出并测试了一个多维的儿童劣势框架。
澳大利亚儿童纵向研究是对澳大利亚两个儿童队列的全国代表性样本,其中包括 2004 年 5 月开始的 5107 名婴儿的出生队列。该分析重点关注 4-5 岁时收集的劣势指标。通过与 8-9 岁时的学业成绩的关联,验证了理论上的劣势模型。
包含四个潜在因素(10 个指标)的模型,包括社会人口统计学(10 个指标)、地理环境(3 个指标)、健康状况(3 个指标)和风险因素(14 个指标),比替代模型更能拟合数据。每个因素都与学业成绩相关,这提供了同时验证的证据。
该研究提供了一个理论上的和经验上的测试框架,用于操作相对儿童劣势。通过捕捉儿童在其发展展开的多个环境中劣势的复杂性,将有助于理解和解决不平等问题。