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Background: Rigorously designed longitudinal studies can inform how best to reduce the widening health gap between Indigenous and non-Indigenous children.Methods: A systematic review was performed to identify and present the breadth and depth of longitudinal studies reporting the health and well-being of Indigenous children (aged 0-18 years) globally. Databases were searched up to 23 June 2020. Study characteristics were mapped according to domains of the life course model of health. Risk of bias was assessed using the National Institutes of Health (NIH) Study Quality Assessment Tools. Reported level of Indigenous involvement was also appraised; PROSPERO registration CRD42018089950.Results: From 5545 citations, 380 eligible papers were included for analysis, representing 210 individual studies. Of these, 41% were located in Australia (n = 88), 22.8% in the USA (n = 42), 11.9% in Canada (n = 25) and 10.9% in New Zealand (n = 23). Research tended to focus on either health outcomes (50.9%) or health-risk exposures (43.8%); 55% of studies were graded as 'good' quality; and 89% of studies made at least one reference to the involvement of Indigenous peoples over the course of their research.Conclusions: We identified gaps in the longitudinal assessment of cultural factors influencing Indigenous child health at the macrosocial level, including connection to culture and country, intergenerational trauma, and racism or discrimination. Future longitudinal research needs to be conducted with strong Indigenous leadership and participation including holistic concepts of health. This is critical if we are to better understand the systematic factors driving health inequities experienced by Indigenous children globally. [ABSTRACT FROM AUTHOR]

Background: Understanding the relationship between different aspects of disadvantage over time and domains of child development will facilitate the formulation of more precise policy responses. We examined the association between exposure to aspects of disadvantage over the childhood period (from 0-9 years) and child development at 10-11 years.Methods: We used data from the nationally representative birth cohort of the Longitudinal Study of Australian Children (n = 4979). Generalized linear models with log-Poisson link were used to estimate the association between previously derived disadvantage trajectories (in each of four lenses of sociodemographic, geographic environments, health conditions and risk factors, and a composite of these) and risk of poor child developmental outcomes. Population-attributable fractions were calculated to quantify the potential benefit of providing all children with optimal conditions for each developmental outcome.Results: Trajectories of disadvantage were associated with developmental outcomes: children in the most disadvantaged composite trajectory had seven times higher risk of poor outcomes on two or more developmental domains, compared with those most advantaged. Trajectories of disadvantage in different lenses were varyingly associated with the child development domains of socio-emotional adjustment, physical functioning and learning competencies. Exposure to the most advantaged trajectory across all lenses could reduce poor developmental outcomes by as much as 70%.Conclusions: Exposure to disadvantage over time is associated with adverse child development outcomes. Developmental outcomes varied with the aspects of disadvantage experienced, highlighting potential targets for more precise policy responses. The findings provide evidence to stimulate advocacy and action to reduce child inequities. [ABSTRACT FROM AUTHOR]

Background: Disadvantage rarely manifests as a single event, but rather is the enduring context in which a child's development unfolds. We aimed to characterize patterns of stability and change in multiple aspects of disadvantage over the childhood period, in order to inform more precise and nuanced policy development.Methods: Participants were from the Longitudinal Study of Australian Children birth cohort (n = 5107). Four lenses of disadvantage (sociodemographic, geographic environment, health conditions and risk factors), and a composite of these representing average exposure across all lenses, were assessed longitudinally from 0 to 9 years of age. Trajectory models identified groups of children with similar patterns of disadvantage over time for each of these lenses and for composite disadvantage. Concurrent validity of these trajectory groups was examined through associations with academic performance at 10-11 years.Results: We found four distinct trajectories of children's exposure to composite disadvantage, which showed high levels of stability over time. In regard to the individual lenses of disadvantage, three exhibited notable change over time (the sociodemographic lens was the exception). Over a third of children (36.3%) were exposed to the 'most disadvantaged' trajectory in at least one lens. Trajectories of disadvantage were associated with academic performance, providing evidence of concurrent validity.Conclusions: Children's overall level of composite disadvantage was stable over time, whereas geographic environments, health conditions and risk factors changed over time for some children. Measuring disadvantage as uni-dimensional, at a single time point, is likely to understate the true extent and persistence of disadvantage. [ABSTRACT FROM AUTHOR]

Background: More than 300000 asylum seeking children were registered in Europe alone during 2015. In this study, we examined entitlements for health care for these and other migrant children in Europe and Australia in a framework based on United Nations Convention of the Rights of the Child (UNCRC). Methods: Survey to child health professionals, NGO's and European Ombudspersons for Children in 30 EU/EEA countries and Australia, supplemented by desktop research of official documents. Migrant children were categorised as asylum seekers and irregular/undocumented migrants. Results: Five countries (France, Italy, Norway, Portugal and Spain) explicitly entitle all migrant children, irrespective of legal status, to receive equal health care to that of its nationals. Sweden and Belgium entitle equal care to asylum seekers and irregular non-EU migrants, while entitlements for EU migrants are unclear. Twelve European countries have limited entitlements to health care for asylum seeking children, including Germany that stands out as the country with the most restrictive health care policy for migrant children. In Australia entitlements for health care are restricted for asylum seeking children in detention and for irregular migrants. The needs of irregular migrants from other EU countries are often overlooked in European health care policy. Conclusion: Putting pressure on governments to honour the obligations of the UNCRC and explicitly entitle all children equal rights to health care can be an important way of advocating for better access to primary and preventive care for asylum seeking and undocumented children in Australia and the EU. [ABSTRACT FROM AUTHOR]

Background Inflammation is one of key mechanisms linking childhood experiences to later chronic disease risk. Childhood adversity is associated with inflammation, but little is known about positive experiences. We examine how adverse and positive experiences are associated with inflammatory markers in late childhood, and whether they have an interaction effect. Methods Data sources: Longitudinal Study of Australian Children (LSAC; N = 1237) and Avon Longitudinal Study of Parents and Children (ALSPAC; N = 3488). Exposures: Adverse and positive experiences assessed from 0 to 11 (LSAC) and 0-14 years (ALSPAC). Adversity indicators included parent legal problems, family violence, mental illness, substance abuse, harsh parenting, parental divorce, neighbourhood violence, family member death, and bullying victimization. Positive experiences included positive parenting practice, trusting and supportive relationships, supportive neighbourhood and home learning environments, social engagement and enjoyment. Outcomes: Inflammation quantified by high-sensitivity C-reactive protein (hsCRP) and glycoprotein acetyls (GlycA). Analyses: Linear regression was used to estimate relative change in inflammatory markers, adjusted for sociodemographics. Outcomes were log-transformed. Results Exposure to adversity was associated with higher levels of inflammation (e.g. CRP: β = 8.8%, 95% CI= -16.5% to 34.2% in LSAC), whereas exposure to positive experiences was associated with lower levels (e.g. CRP: β=-18.9%, 95% CI= -45.8% to 7.9% in LSAC), after adjusting for sociodemographics. There was no interaction effect of adverse and positive experiences on inflammation. Conclusions Adverse and positive experiences have independent and small effects on children's inflammation across two cohorts. Key messages Positive experiences are critical to inform interventions to improve inflammatory outcomes for children who face adversity. [ABSTRACT FROM AUTHOR]

Focus of Presentation Utilising data from multiple cohorts to address causal questions in health research has become increasingly widespread due to a number of advantages. These include improved precision of estimates, in particular to investigate effect heterogeneity as well as rare events and exposures, and the ability to examine the replicability of findings. However, undertaking causal inference in multi-cohort studies also faces several challenges, which makes clear causal thinking even more important than in single-cohort studies. We propose the use of the "target trial" framework for the conduct of causal inference in multi-cohort studies. Findings Using two case studies, the first considering the effect of maternal mental health on emotional reactivity and the second examining the influence of exposure to adversity on inflammatory outcomes in childhood, we describe and demonstrate how the target trial approach enables clear definition of the target estimand and systematic consideration of sources of bias. Considering the target trial as the reference point allows the identification of potential biases within each study, so that analysis can be planned to reduce them. Furthermore, the interpretation of findings is assisted by an understanding of the unavoidable biases that may be compounded when pooling data from multiple cohorts, or that may explain discrepant findings across cohorts. Conclusions/Implications Use of the target trial framework in multi-cohort studies helps strengthen causal inferences through improved analysis design and clarity in the interpretation of findings. Key messages The target trial framework, already well-established for casual inference in single-cohort studies, is recommended for the conduct of causal inference in multi-cohort studies. [ABSTRACT FROM AUTHOR]