Mental health profiles and academic achievement in Australian school students.

This study explored mental health profiles in Australian school students using indicators of well-being (i.e., optimism, life satisfaction, and happiness) and psychological distress (i.e., sadness and worries). The sample included 75,757 students (ages 8-18 years) who completed the 2019 South Australian Wellbeing and Engagement Collection. Latent profile analysis identified five mental health profiles consisting of (a) complete mental health (23%), (b) good mental health (33%), (c) moderate mental health (27%), (d) symptomatic but content (9%), and (e) troubled (8%). Findings provide partial support for the dual-factor model of mental health. Distal outcomes analysis on a sub-set of students (n = 24,466) found students with a symptomatic but content, moderate mental health, or troubled profile had poorer academic achievement than students with complete mental health. Implications for schools and education systems are discussed, including the need to pair clinical supports for students with psychological distress with population-level preventative health approaches to build psychological well-being.

Trends in Well-Being Among Youth in Australia, 2017-2022.

Importance: Little is known about temporal trends in children's well-being and how the COVID-19 pandemic may have influenced the well-being of young Australians. Certain demographic groups may be more vulnerable to experiencing declines in well-being. Objective: To examine well-being trends over 6 consecutive years among South Australian students and explore the influence of sociodemographic characteristics. Design, Setting, and Participants: Longitudinal analyses of annual (2017 to 2022) cross-sectional data of students in grades 4 through 9 (n = 40 392 to 56 897 per year) attending South Australian government schools from the Well-being and Engagement Collection (WEC) census. Exposures: Calendar year (2017-2022) and sociodemographic characteristics (sex, school grade, parental education, language spoken at home, residential region) from school enrollment records. Main Outcomes and Measures: Students self-reported life satisfaction, optimism, happiness, cognitive engagement, emotional regulation, perseverance, worry, and sadness. Results: Over 6 years (2017 to 2022), a total of 119 033 students (mean [SD] age, 12.1 y; 51.4% male) participated in this study. Most well-being measures declined over time, with consistent worsening of well-being from 2020 onward. For example, compared with 2017, sadness was 0.26 (95% CI, 0.25-0.27) points higher in 2020 (standardized mean difference [SMD], 0.27) and remained elevated by more than 0.26 points (SMD, 0.27) in 2021 and 2022. At almost every time point, greatest well-being was reported by students of male sex (except cognitive engagement and perseverance), in earlier school grades, with highest parental education, speaking a language other than English at home, and residing in outer regional and remote settings (for satisfaction, optimism, and emotional regulation). Sociodemographic differences in well-being were generally consistent over time; however, sex differences widened from 2020 for all indicators except cognitive engagement and perseverance. For example, between 2017 and 2022, sadness increased by 0.27 (95% CI, 0.25-0.29) more points among females than males (SMD, 0.28). Conclusions and Relevance: In this longitudinal analysis of annual census data, there were downward trends in students' well-being, especially since 2020. The largest sociodemographic disparities were observed for students of female sex, those in later school grades, and those with lowest parental education. Urgent and equitable support for the well-being of all young people, particularly those facing disparity, is imperative.

Objectively measured infant and toddler screen time: Findings from a prospective study.

Objective: Screen time guidelines recommend no screens under two years due to the potential negative impacts on development. While current reports suggest many children exceed this, research relies on parent reports of their children's screen exposure. We objectively assess screen exposure during the first two years and how it differs by maternal education and gender. Methods: This Australian prospective cohort study used speech recognition technology to understand young children's screen exposure over an average day. Data collection occurred every six months when children were 6, 12, 18 and, 24 months old (n = 207). The technology provided automated counts of children's exposure to electronic noise. Audio segments were then coded as screen exposure. Prevalence of screen exposure was quantified, and differences between demographics examined. Results: At six months, children were exposed to an average of 1hr, 16 min (SD = 1hr, 36 min) of screens per day, increasing to an average of 2 h, 28 min (SD = 2 h, 4 min) by 24-months. Some children at six months were exposed to more than 3 h of screen time per day. Inequalities in exposure were evident as early as six months. Children from higher educated families were exposed to 1hr,43 min fewer screens per day, 95%CI (-2hr, 13 min, -1hr, 11 min) compared to lower educated households, with this difference remaining consistent as children age. Girls were exposed to an additional 12 min of screens 95%CI (-20 min, 44 min) per day compared to boys at six months, but this difference reduced to only 5 min by 24-months. Conclusion: Using an objective measure of screen exposure, many families exceed screen time guidelines, the extent increasing with child's age. Furthermore, substantial differences between maternal education groups emerge as young as six months old. This highlights the need for education and supports for parents around screen use in the early years, balanced within the realities of modern life.

Investigating the Validity of the Australian Early Development Census.

This article continues evaluation of the construct validity of the Australian Early Development Census (AEDC) through comparison with linked data from a sample of 2216 4-5 year old children collected as part of the Longitudinal Study of Australian Children (LSAC). This builds on the construct validity assessment of Brinkman et al. (Early Educ Dev 18(3):427-451, 2007) based on a smaller sample of linked Australian Early Development Instrument (AvEDI) and LSAC children, in which moderate to large correlations were apparent between teacher-rated AvEDI domains and subconstructs and LSAC measures, with lower levels apparent for parent reported LSAC measures. In the current study, the data showed moderate to low correlations between the domains and subdomains from the AEDC and teacher reported LSAC data. Differences in testing times, data sources (e.g. teachers versus carers) and levels of exposure to formal schooling at the time of testing are all discussed to account for the observed outcomes.

The Nutritional Quality of Kids' Menus from Cafés and Restaurants: An Australian Cross-Sectional Study.

Australian families increasingly rely on eating foods from outside the home, which increases intake of energy-dense nutrient-poor foods. 'Kids' Menus' are designed to appeal to families and typically lack healthy options. However, the nutritional quality of Kids' Menus from cafes and full-service restaurants (as opposed to fast-food outlets) has not been investigated in Australia. The aim of this study was to evaluate the nutritional quality of Kids' Menus in restaurants and cafés in metropolitan Perth, Western Australia. All 787 cafes and restaurants located within the East Metropolitan Health Service area were contacted and 33% had a separate Kids' Menu. The validated Kids' Menu Healthy Score (KIMEHS) was used to assess the nutritional quality of the Kids' Menus. Almost all Kids' Menus (99%) were rated 'unhealthy' using KIMEHS. The mean KIMEHS score for all restaurants and cafés was -8.5 (range -14.5 to +3.5) which was lower (i.e., more unhealthy) than the mean KIMEHS score for the top 10 most frequented chain fast-food outlets (mean -3.5, range -6.5 to +3). The findings highlight the need for additional supports to make improvements in the nutritional quality of Kids' Menus. Local Government Public Health Plans provide an opportunity for policy interventions, using locally relevant tools to guide decision making.

Prevalence of breakfast skipping among children and adolescents: a cross-sectional population level study.

BACKGROUND: Interventions to promote breakfast consumption are a popular strategy to address early life inequalities. It is important to understand the epidemiology of children and adolescents who skip breakfast so that interventions and policy can be appropriately considered. This study investigated the prevalence of breakfast skipping among a contemporary, population-wide sample of children and adolescents in Australia. METHODS: Participants were grade 4-12 students (n = 71,390, 8-18 years) in South Australian government (public) schools who took part in the 2019 Wellbeing and Engagement Collection. The prevalence of breakfast skipping (never, sometimes, often, or always) was calculated for the overall sample and stratified by gender, school grade, socioeconomic status and geographical remoteness. Multinomial logistic regression analyses were conducted to determine the relative risk ratio of sometimes, often, and always skippers compared with never skippers, according to demographic characteristics. RESULTS: Overall, 55.0% of students reported never skipping breakfast, 17.4% reported sometimes skipping, 18.0% reported often skipping, and 9.5% reported always skipping breakfast. Skipping breakfast was more prevalent among females, students in senior grades, and those living in socioeconomically disadvantaged and regional and remote areas. Analyses disaggregated by gender revealed that grade level gradients in breakfast skipping were more marked among females compared to males. CONCLUSIONS: Breakfast skipping among children and adolescents appears considerably more prevalent than previous research suggests. Drivers of breakfast skipping across population sub-groups need to be explored to better inform strategies to promote breakfast consumption.

Prevalence of electronic device use before bed among Australian children and adolescents: a cross-sectional population level study.

OBJECTIVE: To understand the prevalence of children and adolescents' electronic device use (EDU) in the hour before bed and identify sociodemographic groups that are at increased risk of problematic use. METHOD: A contemporary population wide sample of South Australian school students aged 8-18 years (n = 70,936) was utilised to present descriptive statistics of EDU before bed across sociodemographic groups. Data was collected from the 2019 Wellbeing and Engagement Collection, an annual self-report census of students' health, wellbeing and school engagement. RESULTS: 90% of children used an electronic device in the hour before bed at least one night a week, with 51% using a device every night. Older adolescent females in grades 10-12 were most frequent users and children from the most socioeconomically disadvantaged communities were also more likely to use electronic devices in the hour before bed. CONCLUSION: EDU before bed is highly prevalent among Australian children and adolescents and given the negative health and educational impacts, it requires immediate and widespread action from policy makers to ensure the health of Australia's next generation. IMPLICATIONS FOR PUBLIC HEALTH: The scale of the problem has now been identified; next steps rely on a public health approach to address this issue. This might include awareness raising campaigns and targeted interventions towards at-risk groups.

Basic epidemiology of wellbeing among children and adolescents: A cross-sectional population level study.

Wellbeing and mental health are fundamental rights of children and adolescents essential for sustainable development. Understanding the epidemiology of child and adolescent wellbeing is essential to informing population health approaches to improving wellbeing and preventing mental illness. The present study estimated the prevalence of wellbeing and how wellbeing indicators were distributed across social and economic groups. This study used data from the 2019 Wellbeing and Engagement Collection; an annual census conducted in South Australian schools that measures self-reported wellbeing in students aged 8-18 years (n = 75,966). We estimated the prevalence (n, %) of low, medium and high wellbeing across five outcomes: life satisfaction, optimism, sadness, worries and happiness, overall and stratified by gender, age, language background, socio-economic position and geographical remoteness. The prevalence of low wellbeing on each indicator was: happiness 13%, optimism 16%, life satisfaction 22%, sadness 16% and worries 25%. The prevalence of low wellbeing increased with age, particularly for females. For example, 22.5% of females aged 8-10 years had high levels of worries compared to 43.6% of 15 to 18-year old females. Socioeconomic inequality in wellbeing was evident on all indicators, with 19.5% of children in the most disadvantaged communities having high levels of sadness compared to 12.5% of children in the most advantaged communities. Many children and adolescents experience low wellbeing on one or more indicators (40.7%). The scale of this problem warrants a population-level preventative health response, in addition to a clinical, individual-level responses to acute mental health needs. Universal school-based programs that support social and emotional wellbeing have a role to play in this response but need to be supported by universal and targeted responses from outside of the education system.

Findings from the Kids in Communities Study (KiCS): A mixed methods study examining community-level influences on early childhood development.

There is increasing international interest in place-based approaches to improve early childhood development (ECD) outcomes. The available data and evidence are limited and precludes well informed policy and practice change. Developing the evidence-base for community-level effects on ECD is one way to facilitate more informed and targeted community action. This paper presents overall final findings from the Kids in Communities Study (KiCS), an Australian mixed methods investigation into community-level effects on ECD in five domains of influence-physical, social, governance, service, and sociodemographic. Twenty five local communities (suburbs) across Australia were selected based on 'diagonality type' i.e. whether they performed better (off-diagonal positive), worse (off-diagonal negative), or 'as expected' (on-diagonal) on the Australian Early Development Census (AEDC) relative to their socioeconomic profile. The approach was designed to determine replicable and modifiable factors that were separate to socioeconomic status. Between 2015-2017, stakeholder interviews (n = 146), parent and service provider focus groups (n = 51), and existing socio-economic and early childhood education and care administrative data were collected. Qualitative and quantitative data analyses were undertaken to understand differences between 14 paired disadvantaged local communities (i.e. on versus off-diagonal). Further analysis of qualitative data elicited important factors for all 25 local communities. From this, we developed a draft set of 'Foundational Community Factors' (FCFs); these are the factors that lay the foundations of a good community for young children.

The education word gap emerges by 18 months: findings from an Australian prospective study.

BACKGROUND: The idea of the '30 million word gap' suggests families from more socioeconomically advantaged backgrounds engage in more verbal interactions with their child than disadvantaged families. Initial findings from the Language in Little Ones (LiLO) study up to 12 months showed no word gap between maternal education groups. METHODS: Families with either high or low maternal education were purposively recruited into a five-year prospective study. We report results from the first three waves of LiLO when children were 6, 12 and 18 months old. Day-long audio recordings, obtained using the Language Environment Analysis software, provided counts of adult words spoken to the child, child vocalizations and conversational turns. RESULTS: By the time children were 18 months old all three measures of talk were 0.5 to 0.7 SD higher among families with more education, but with large variation within education groups. Changes in talk from 6 to 18 months highlighted that families from low educated backgrounds were decreasing the amount they spoke to their children (- 4219.54, 95% CI -6054.13, - 2384.95), compared to families from high educated backgrounds who remained relatively stable across this age period (- 369.13, 95% CI - 2344.57, 1606.30). CONCLUSIONS: The socioeconomic word gap emerges between 12 and 18 months of age. Interventions to enhance maternal communication, child vocalisations and vocabulary development should begin prior to 18 months.

Measuring early childhood development with The Early Human Capability Index (eHCI): a reliability and validity study in China.

BACKGROUND: With the importance of early childhood development more recognized by the international society, low-cost and cross-culturally comparable measures of early childhood development is in great demand, both in China and worldwide. In this study, we aim to test the psychometrics of the Chinese version of The Early Human Capability Index (eHCI), which is designed as a measurement for school readiness in large population. METHODS: We evaluated the internal consistency, test-retest reliability, inter-rater reliability, factor structure, criterion-related validity, and discriminant validity of the eHCI in 20,324 preschool children in Shanghai. We also compared eHCI scores with test result of ASQ in 815 children in Yexian and EAP-ECDS in 6947 children in Daming. RESULTS: The ICC between parents and teachers were 0.83 and 0.63 for Literacy Numeracy and Overall Development. The confirmatory factor analyses showed good model fit (χ2 = 509,323, p < 0.001; CFI = 0.901; RMSEA = 0.038). The correlations between the scores of eHCI and other ECD metrics ranged between r = - 0.42 and r = 0.53. The scale discriminated between children's developmental level based on sex, parental education, family income, family assets, and nutrition status. CONCLUSIONS: Results from Chinese population suggested that eHCI is valid and reliable for measuring early childhood development in children aged 3-6 years. The eHCI can be applied to map the global distribution of early childhood development for allocating scarce resources to help those in greatest demand. Longitudinal studies are warranted to test its predictive validity for later outcomes.

Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index.

Inclusion of early child development in the United Nations Sustainable Development Agenda raises issues of how this goal should be monitored, particularly in low resource settings. The aim of this paper was to explore the validity of the early Human Capability Index (eHCI); a population measure designed to capture the holistic development of children aged 3-5 years. Convergent, divergent, discriminant and concurrent validity were examined by exploring the associations between eHCI domains and child (sex, age, stunting status, preschool attendance) and family (maternal education, home learning environment) characteristics. Analyses were repeated using data from seven low and middle income countries: Brazil (n = 1810), China (n = 11421), Kiribati (n = 8339), Lao PDR (n = 7493), Samoa (n = 12191), Tonga (n = 6214), and Tuvalu (n = 549). Correlations and linear regressions provide evidence that within these country samples, the tool is capturing the aspects of early child development that it was designed to measure. Although the tool was intended to measure development of children aged 3-5 years, results suggest it can be validly applied to children aged 2-6 years. The eHCI is free, requires minimal implementation resources, captures development across domains and abilities, and is designed to allow cultural and contextual concepts to be included. The eHCI appears psychometrically robust in diverse country contexts and could enable evaluation of early years policies and programs, as well as monitoring of children's development to track progress towards the Sustainable Development Agenda.

How many words are Australian children hearing in the first year of life?

BACKGROUND: There is evidence that parents from more socioeconomically disadvantaged backgrounds engage in fewer verbal interactions with their child than more advantaged parents. This leads to the so-called, '30 million-word gap'. This study aims to investigate the number of words children hear and the number of vocalizations children produce in their first year of life and examines whether these aspects of the early language home environment differ by maternal education. METHODS: Mothers were recruited into a five-year prospective cohort study and categorized into either high or low maternal education groups. Data was derived from the first two waves of the study, when the children were six and twelve months old. At both waves, children were involved in day-long audio recordings using the Language Environment Analysis software that provided automatic counts of adult words spoken to the child, child vocalizations and conversational turns. Descriptive results are presented by maternal education groups. RESULTS: There was large variation within each maternal education group, with the number of adult words spoken to the child ranging from 2958 to 39,583 at six months and 4389 to 45,849 at twelve months. There were no meaningful differences between adult words, child vocalizations or conversational turns across maternal education groups at either wave of data collection. CONCLUSIONS: These results show that a word gap related to maternal education is not apparent up to twelve months of age. The large variability among both maternal education groups suggests that universal interventions that encourage all parents to talk more to their child may be more appropriate than interventions targeted towards disadvantaged families during the first year of life.

Reading and numeracy attainment of children reported to child protection services: A population record linkage study controlling for other adversities.

BACKGROUND: Maltreated children are at risk of poor educational outcomes, but also experience greater individual, family, and neighbourhood adversities that may obscure an understanding of relationships between child protection involvement and educational attainment. OBJECTIVE: To examine associations between child protection involvement and 3rd- and 5th-grade reading and numeracy attainment, while controlling multiple other adversities. PARTICIPANTS AND SETTING: Participants were 56,860 Australian children and their parents from the New South Wales Child Development Study with linked multi-agency records. METHODS: Multinomial logistic regressions examined associations between level of child protection involvement (Out-Of-Home Care [OOHC] placement; substantiated Risk Of Significant Harm [ROSH]; unsubstantiated ROSH; non-ROSH; and no child protection report) and standardised tests of 3rd- and 5th-grade reading and numeracy. Fully adjusted models controlled demographic, pregnancy, birth, and parental factors, and early (kindergarten) developmental vulnerabilities on literacy and numeracy, and other developmental domains (social, emotional, physical, communication). RESULTS: All children with child protection reports were more likely to attain below average, and less likely to attain above average, 3rd- and 5th-grade reading and numeracy, including children with reports below the ROSH threshold. Children with substantiated ROSH reports who were not removed into care demonstrated the worst educational attainment, with some evidence of protective effects for children in OOHC. CONCLUSIONS: A cross-agency response to supporting educational attainment for all children reported to child protection services is required, including targeted services for children in OOHC or with substantiated ROSH reports, and referral of vulnerable families (unsubstantiated and non-ROSH cases) to secondary service organisations (intermediate intervention).

Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009-2018.

BACKGROUND: Australia is the only developed country to consistently undertake a developmental census of its children nationwide. The repeated collection of the Australian Early Development Census (AEDC) has provided an unprecedented opportunity to examine the prevalence of developmental vulnerability across Australia's states and territories, the socio-economic distribution of developmental vulnerability across jurisdictions, and how these distributions might have changed over time. METHODS: This study employed multivariable logistic regressions to estimate the probability of developmental vulnerability within each jurisdiction and AEDC collection year (2009 to 2018), adjusting for jurisdictional differences in socio-demographic characteristics. To explore socio-economic inequalities in child development, adjusted slope index of inequality (SII) models were utilised. FINDINGS: The results of this study found reductions in the adjusted prevalence of developmental vulnerability over time in Western Australia (26% to 20%) and Queensland (30% to 25%), with an increase observed in the Australian Capital Territory (27% to 30%). Analysis also indicated an increase in socio-economic inequalities over time in the Northern Territory (+12%), the Australian Capital Territory (+6%) and Tasmania (+4%). Sensitivity analysis found these effects to be robust with an alternative measure of socio-economic position. INTERPRETATION: There is considerable variation in the prevalence and socio-economic inequalities in developmental vulnerability across Australia's jurisdictions. Future research should explore the policy drivers in early childhood education and health contributing to the findings of this study, with a particular focus on jurisdictions where there have been notable changes in developmental vulnerability and socio-economic inequality over time. FUNDING: Analyses were funded under research contract by the Department of Education, Skills and Employment. Prof Brinkman is supported by a National Health and Medical Research Council fellowship, APP1160185.

Gender gaps in cognitive and social-emotional skills in early primary grades: Evidence from rural Indonesia.

This paper examines the magnitude and source of gender gaps in cognitive and social-emotional skills in early primary grades in rural Indonesia. Relative to boys, girls score more than 0.17 SD higher in tests of language and mathematics (cognitive skills) and between 0.18 and 0.27 SD higher in measures of social competence and emotional maturity (social-emotional skills). We use Oaxaca-Blinder decomposition to investigate the extent to which gender differences in early schooling and parenting practices explain these gender gaps in skills. For cognitive skills, differences in early schooling between boys and girls explain between 9% and 11% of the gender gap whereas differences in parenting practices explain merely 3%-5% of the gender gap. This decomposition result is driven largely by children living in villages with high-quality preschools. In contrast, for social-emotional skills, differences in parenting styles toward boys and girls explain between 13% and 17% of the gender gap, while differences in early schooling explain only 0%-6% of the gender gap.

Measuring early childhood development in multiple contexts: the internal factor structure and reliability of the early Human Capability Index in seven low and middle income countries.

BACKGROUND: The fourth year of the Sustainable Development Agenda era calls for countries to continue to invest not only in interventions and policies that will promote global equity and sustainability, but also in the monitoring systems required to track progress against these targets. A more pragmatic solution to measuring children's early development in low and middle income countries in particular, is required. This study explores the psychometric properties of the early Human Capability Index (eHCI), a population measure of holistic development for children aged 3-5 years, designed with the vision of being flexible and feasible for use in low resource and capacity settings. METHODS: Utilizing data from seven low and middle income countries: Brazil (n = 1810), China (n = 11,421), Kiribati (n = 8339), Lao People's Democratic Republic (n = 7493), Samoa (n = 12,191), Tonga (n = 6214), and Tuvalu (n = 549), analyses explored the internal factor structure and reliability of scores produced by the tool within each country. RESULTS: Confirmatory factor analyses and internal consistency coefficients demonstrated that after local adaptation, translation, and different implementation methods across countries, the eHCI maintained the same factor structure of nine theoretically-based developmental domains: Physical Health, Verbal Communication, Cultural Knowledge, Social and Emotional Skills, Perseverance, Approaches to Learning, Numeracy, Reading, and Writing. CONCLUSIONS: Findings support the aims of the eHCI in being adaptable and applicable for use within a range of low and middle income countries to facilitate measurement and monitoring of children's early development, as is required for the tracking of progress towards the Sustainable Development Agenda.