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Abstract: Background: Chronically ill children are at increased risk of poor learning outcomes. Knowledge of the predictors of learning outcomes for this group of people is important to inform the development of education supports that stand the best chance of being effective. This study explored the child, family, and school risk and protective factors during the child's transition to elementary school (aged 6–7 years) that were associated with learning outcomes when children were aged 10–11 years for both children with and without a chronic illness. Methods: Data from the Longitudinal Study of Australian Children were used. Predictor variables were entered into separate multivariate regression models for children with and without a chronic illness. Results: The strongest predictors of learning outcomes were the child's approach to learning, a consistent parenting style, and family socioeconomic position and were common for both children with and without a chronic illness but strongest for children with a chronic illness. Conclusion: A child's approach to learning and a consistent parenting style during the period of the child's transition to elementary school are important and potentially modifiable factors that are predictive of academic performance in later childhood. These factors are particularly relevant for children with a chronic illness, their parents/caregivers, teachers both hospital and school based, and pediatricians and can be used to inform interventions. [ABSTRACT FROM AUTHOR]

Aim: A fifth of children enter school with special health care needs (SHCN) impacting on their physical, psychosocial or educational development, including many with emerging SHCN who often do not qualify for additional supports. This study aimed to compare the perceptions of parents and teachers on children's emerging SHCN, and explore correlates of conflicting reports.Methods: The Longitudinal Study of Australian Children (LSAC) is a nationally representative study of Australian children, which includes the abbreviated Children with Special Health Care Needs Screener. Data were analysed from a subsample of n = 720 children from the LSAC Kindergarten cohort (n = 4983) for whom teachers also completed the Australian Early Development Index checklist, a measure of early childhood development that includes teacher reported SHCN.Results: Teachers (n = 120, 17.34%) identified more emerging SHCN than parents (n = 74, 10.74%), and reports were often discrepant. Children were more likely to have consistent reports of emerging SHCN when their parents had high levels of involvement at school (OR 4.86; 95% CI 1.08-21.80; P < 0.05), whereas children who came from disadvantaged family backgrounds were more likely to have teacher-only identified difficulties (OR 3.66; 95% CI 1.17-11.50; P < 0.05).Conclusion: Parents and teachers bring different perspectives to children's development and additional support needs, each of which is valuable. Greater attention should be given to ensuring that common understandings about a child's needs at school are established early in children's educational pathways. [ABSTRACT FROM AUTHOR]

Aim: Using national Australian time-diary data, we aimed to empirically determine sleep duration thresholds beyond which children have poorer health, learning, quality of life, and weight status and parents have poorer mental health.Methods: Design/setting: Cross-sectional data from the first three waves of the Longitudinal Study of Australian Children.Participants: A nationally representative sample of 4983 4-5-year-olds, recruited in 2004 from the Australian Medicare database and followed biennially; 3631 had analyzable sleep information and a concurrent measure of health and well-being for at least one wave.Main Measures: Exposure: At each wave, a parent completed 24-h time-use diaries for one randomly selected weekday and one weekend day, including a "sleeping/napping" category.Outcomes: Parent-reported child mental health, health-related quality of life, and maternal/paternal mental health; teacher-reported child language, literacy, mathematical thinking, and approach to learning; and assessed child body mass index and girth.Results: Linear regression analyses revealed weak, inconsistent relationships between sleep duration and outcomes at every wave. For example, children with versus without psychosocial health-related quality of life problems slept slightly less at 6-7 years (adjusted mean difference 0.12 h; 95% confidence interval 0.01-0.22, p = 0.03), but not at 4-5 (0.00; -0.10 to 0.11, p = 1.0) or 8-9 years (0.09; -0.02 to 0.22, p = 0.1). Empirical exploration using fractional polynomials demonstrated no clear thresholds for sleep duration and any adverse outcome at any wave.Conclusions: Present guidelines in terms of children's short sleep duration appear misguided. Other parameters such as sleep timing may be more meaningful for understanding optimal child sleep. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study is to use national Australian time-diary data to examine both (1) cross-sectionally and (2) longitudinally whether being late versus early to sleep or wake is associated with poorer child behavior, quality of life, learning, cognition and weight status, and parental mental health.Methods: Design/setting: Data from the first three waves of the Longitudinal Study of Australian Children were taken.Participants: A national representative sample of 4983 4-5-year-olds, recruited in 2004 from the Australian Medicare database and followed up biennially, was taken; 3631 had analyzable sleep information and a concurrent measure of health and well-being for at least one wave.Measures: Exposure: Parents completed 24-h child time-use diaries for one week and one weekend day at each wave. Using median splits, sleep timing was categorized into early-to-sleep/early-to-wake (EE), early-to-sleep/late-to-wake (EL), late-to-sleep/early-to-wake (LE), and late-to-sleep/late-to-wake (LL) at each wave.Outcomes: The outcomes included parent-reported child behavior, health-related quality of life, maternal/paternal mental health, teacher-reported child language, literacy, mathematical thinking, and approach to learning. The study assessed child body mass index and girth.Results: (1) Using EE as the comparator, linear regression analyses revealed that being late-to-sleep was associated with poorer child quality of life from 6 to 9 years and maternal mental health at 6-7 years. There was inconsistent or no evidence for associations between sleep timing and all other outcomes. (2) Using the count of the number of times (waves) at which a child was categorized as late-to-sleep (range 0-3), longitudinal analyses demonstrated that there was a cumulative effect of late-to-sleep profiles on poorer child and maternal outcomes at the child age of 8-9 years.Conclusions: Examined cross-sectionally, sleep timing is a driver of children's quality of life and maternal depression. Examined longitudinally, there appears to be cumulative and adverse relationships between late-to-sleep profiles and poorer child and maternal outcomes at the child age of 8-9 years. Understanding how other parameters - such as scheduling consistency, sleep efficiency and hygiene - are also related to child and parent outcomes will help health professionals better target sleep management advice to families. [ABSTRACT FROM AUTHOR]

Background Middle ear infection is a common disease in childhood. Outcomes might vary by its patterns and persistence over time. We aimed to investigate 1) typical trajectories of ear infections throughout childhood and 2) their associations with child outcomes. Methods Design & Participants: Two parallel cohorts assessed biennially from 2004 to 2014 spanning ages 0-1 to 10-11 years (B cohort, n = 3721) and ages 4-5 to 14-15 years (K cohort, n = 3489) in the Longitudinal Study of Australian Children. Ear infection: Parent-reported ongoing ear infections (B: waves 1-6; K: waves 1, 2, 4, 5). Outcomes (wave 6): National academic standardized test, teacher-reported learning, parent and teacher-reported behaviour and self-reported quality of life. Analysis: Latent class models identified ear infection trajectories. Linear regression quantified associations between trajectories and outcomes. Results Four probability trajectories of ear infection emerged in both cohorts: "consistently low" (B 86.2%, K 87.0%), "moderate to low" (5.5%, 9.7%), "low to moderate" (7.0%, 1.5%), and "consistently high" (1.4%, 1.8%). In K cohort, the "consistently high" group had the worst outcomes (effect sizes 0.2-0.8 SDs), with effect sizes largest for psychosocial and language outcomes. "Moderate to low" and "low to moderate" groups showed no to marginal academic associations, but behaviour and quality of life were 0.2-0.3 SDs poorer than the "consistently low" group. Similar but attenuated associations were seen in B cohort. Conclusions Sizable adverse outcomes followed the consistently high trajectory, suggesting cumulative rather than age-dependent burden. Additional information about comorbidities, predictors and objective presence of ear infections could inform causal relationships. Key messages Parent-reported ear infections follow four childhood trajectories (consistently low, moderate to low, low to moderate, consistently high). Sizable adverse outcomes follow the consistently high trajectory. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVE: Outcomes for children with special health care needs (SHCN) can vary by their patterns and persistence over time. We aimed to empirically establish typical SHCN trajectories throughout childhood and their predictive relationships with child and parent outcomes. METHODS: The 2 cohorts of the nationally representative Longitudinal Study of Australian Children were recruited in 2004 at ages 0 to 1 (n = 5107, B cohort) and 4 to 5 years (n = 4983, K cohort). The parent-reported Children With SHCN Screener (Short Form) was completed at each of 4 biennial waves. Wave 4 outcomes were parent-reported behavior and health-related quality of life, teacher-reported learning, and directly assessed cognition. Both parents self-reported mental distress. We derived intracohort trajectories by using latent class analysis in Mplus. We compared mean outcome scores across trajectories by using linear regression, adjusting for socioeconomic position. RESULTS: Four distinct SHCN trajectories were replicated in both cohorts: persistent (B 6.8%, K 8.7%), emerging (B 4.1%, K 11.5%), transient (B 7.9%, K 4.2%), and none (B 81.3%, K 75.6%). Every outcome was adversely affected except fathers' mental health. From infancy to age 6 to 7 years, the persistent and emerging groups had similarly poor outcomes. From age 4 and 5 to 10 and 11 years, outcomes were incrementally poorer on moving from none to transient to emerging and to persistent SHCN. Effect sizes were largest for behavior, learning, and psychosocial outcomes. CONCLUSIONS: Adverse outcomes are shaped more by cumulative burden than point prevalence of SHCNs. In addition to providing care according to a child's need at any given time, prioritizing care toward persistent SHCNs may have the biggest benefits for children and parents. [ABSTRACT FROM AUTHOR]