How well can poor child development be predicted from early life characteristics?

Chittleborough, Catherine R.; Searle, Amelia; Smithers, Lisa G.; Brinkman, Sally; Lynch, John

doi:10.1016/j.ecresq.2015.10.006

Cited by 35 publications

(45 citation statements)

References 48 publications

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“…For professionals in public health and more broadly across paediatrics, allied health, child care and education, the desire to design and deliver effective interventions, to intervene early, and to reach the children most in need, must then be balanced against these converging findings across numerous large-scale longitudinal studies of infants and young children that predictive utility of onward outcome is poor [7]. These studies give caution for approaches that narrowly target children with these risks as opposed to interventions that are proportionately or progressively universal [8,9].…”

Section: Introductionmentioning

confidence: 99%

Patterns of Multiple Risk Exposures for Low Receptive Vocabulary Growth 4-8 Years in the Longitudinal Study of Australian Children

2017

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Risk exposures and predictions of child development outcomes typically estimate the independent effects of individual exposures. As a rule though, children are not exposed piecemeal to individual or single risks but, rather, they are exposed to clusters of risk. Many of these clusters of risks are better thought of as comprising a developmental “circumstance” with a substantial duration, over which period, additional risk exposures also accumulate. In this paper we examined the distribution of 16 single risk exposures for low language ability using latent class analysis across a sample of approximately 4000 children from the Longitudinal Study of Australian Children. The best fitting model identified six distinct classes. 46% of children were in a Developmentally Enabled group, 20% were in a group typified as Working Poor families, 10% of children were in group typified as Overwhelmed group, 9% of children were in a group defined by Child Developmental Delay, 8% of children were in a group defined by Low Human Capital, and 7% of children were in a group defined by Resource Poor non-English Speaking background families. These groups had quantitatively and qualitatively distinct patterns of risk factors and showed different onward trajectories of receptive vocabulary. Our results demonstrate a range of multiple risk profiles in a population-representative sample of Australian children and highlight the mix of risk factors faced by children. Children with distinct patterns of risk factors have different onward trajectories of receptive vocabulary development.

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Section: Introductionmentioning

confidence: 99%

Patterns of Multiple Risk Exposures for Low Receptive Vocabulary Growth 4-8 Years in the Longitudinal Study of Australian Children

2017

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“…Our findings in respect of child's sex, anaemia of mothers and smoking in pregnancy concur with the findings of much larger studies in South Australia and the Northern Territory. 15,16 Nevertheless, additional studies would be of value to determine whether early childhood T A B L E 3 Risk factors for child (n = 250) developmental vulnerability (in lower 10th percentile of AEDC assessment score) in two or more domains (DV2): multi-variable analyses-complete case analyses and analysis with imputed data Note:…”

Section: Discussionmentioning

confidence: 99%

“…13 Studies in South Australia and the Northern Territory identified perinatal factors associated with developmental vulnerability at school entry; smoking in pregnancy; anaemia of mothers; low birth weight; prematurity among Aboriginal and non-Aboriginal children. 15,16 Here, we report on the association of early childhood anaemia, defined as a child ever having anaemia between age 6 and 23 months, with AEDC assessment results among Aboriginal and Torres Strait Islander children of remote Far North Queensland.…”

Section: Introductionmentioning

confidence: 99%

Early childhood anaemia more than doubles the risk of developmental vulnerability at school‐age among Aboriginal and Torres Strait Islander children of remote Far North Queensland: Findings of a retrospective cohort study

Leonard

Buettner

Thompson

et al. 2020

Nutrition & Dietetics

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Aims: Early childhood anaemia, usually attributed to iron deficiency, is associated with persistent detrimental effects on child development. This study investigates the association of anaemia between age six and 23 months with indicators of childhood development at school-age among children of remote Aboriginal and Torres Strait Islander communities of Far North Queensland. Methods:The triennial Australian Early Development Census (AEDC) encompasses five domains of early childhood development-physical health and wellbeing, social competence, emotional maturity, language and cognitive skills (school-based), communication skills and general knowledge. AEDC 2012 and 2015 assessments were linked with health information for children and their mothers from remote Aboriginal and Torres Strait Islander communities of Far North Queensland.Results: AEDC assessments were available for 250 children who had measurements of haemoglobin recorded at age 6 to 23 months. More children who had had early childhood anaemia (n = 66/143, 46.2%, [37.9%, 54.4%]) were developmentally vulnerable on two or more domains compared to those who had not been anaemic (n = 25/107, 23.4% [15.2%, 31.5%], P < .001). Multivariable analysis confirmed that early childhood anaemia more than doubled the risk of developmental vulnerability (OR 2.2 [1.1,4.3] P = .020) at school age. Conclusions: Early childhood anaemia is a risk factor for developmental vulnerability at school-age in this setting. Interventions combining nutrition promotion and multi-micronutrient food fortification, are effective in prevention of early childhood anaemia. Such interventions could also improve early childhood development and subsequent educational achievement.

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“…A few studies have investigated the relationship between neonatal variables (collected from perinatal records) and EDI outcomes 21–23. In 2016, Chittleborough et al (n=13 827) found maternal age, smoking during pregnancy, parity, marital status, parents’ occupation and child sex were predictive of being vulnerable on two or more EDI domains in the first year of school 22. They used the Australian Early Development Census (AEDC), a modified version of the Canadian EDI 22.…”

Section: Introductionmentioning

confidence: 99%

Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child’s school readiness, a prospective cohort

et al. 2019

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IntroductionSchool readiness is a multidimensional construct that includes cognitive, behavioural and emotional aspects of a child’s development. School readiness is strongly associated with a child’s future school success and well-being. The Early Development Instrument (EDI) is a reliable and valid teacher-completed tool for assessing school readiness in children at kindergarten age. A substantial knowledge gap exists in understanding how early child growth, health behaviours, nutrition, cardiometabolic risk and development impact school readiness. The primary objective was to determine if growth patterns, measured by body mass index trajectories in healthy children aged 0–5 years, are associated with school readiness at ages 4–6 years (kindergarten age). Secondary objectives were to determine if other health trajectories, including health behaviours, nutrition, cardiometabolic risk and development, are associated with school readiness at ages 4–6 years. This paper presents the Fit for School Study protocol.Methods and analysisThis is an ongoing prospective cohort study. Parents of children enrolled in the The Applied Health Research Group for Kids (TARGet Kids!) practice-based research network are invited to participate in the Fit for School Study. Child growth, health behaviours, nutrition, cardiometabolic risk and development data are collected annually at health supervision visits and linked to EDI data collected by schools. The primary and secondary analyses will use a two-stage process: (1) latent class growth models will be used to first determine trajectory groups, and (2) generalised linear mixed models will be used to examine the relationship between exposures and EDI results.Ethics and disseminationThe research ethics boards at The Hospital for Sick Children, Unity Health Toronto and McMaster University approved this study, and research ethics approval was obtained from each school board with a student participating in the study. The findings will be presented locally, nationally and internationally and will be published in peer-reviewed journals.Trial registration numberNCT01869530.

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How well can poor child development be predicted from early life characteristics?

Cited by 35 publications

References 48 publications

Patterns of Multiple Risk Exposures for Low Receptive Vocabulary Growth 4-8 Years in the Longitudinal Study of Australian Children

Patterns of Multiple Risk Exposures for Low Receptive Vocabulary Growth 4-8 Years in the Longitudinal Study of Australian Children

Early childhood anaemia more than doubles the risk of developmental vulnerability at school‐age among Aboriginal and Torres Strait Islander children of remote Far North Queensland: Findings of a retrospective cohort study

Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child’s school readiness, a prospective cohort

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