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.

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.

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.

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.

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.

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.

Early developmental risk for subsequent childhood mental disorders in an Australian population cohort.

OBJECTIVE: We examined associations between developmental vulnerability profiles determined at the age of 5 years and subsequent childhood mental illness between ages 6 and 13 years in an Australian population cohort. METHODS: Intergenerational records from New South Wales (NSW) Government Departments of Health and Child Protection spanning pre-birth to 13 years of age were linked with the 2009 Australian Early Development Census records for 86,668 children. Mental illness indices for children were extracted from health records between 2009 and 2016 (child's age of 6-13 years). Associations between mental disorder diagnoses and membership of early childhood risk groups, including those with established 'special needs' (3777, 4.3%) at school entry, or putative risk classes delineated via latent class analysis of Australian Early Development Census subdomains - referred to as 'pervasive risk' ( N = 3479; 4.0%), 'misconduct risk' ( N = 5773; 6.7%) or 'mild generalised risk' ( N = 9542; 11%) - were estimated using multinomial logistic regression, relative to children showing 'no risk' ( N = 64,097; 74%). Poisson regression models estimated the relative risk of a greater number of days recorded with mental health service contacts among children in each Australian Early Development Census risk group. Adjusted models included child's sex, socioeconomic disadvantage, child protection contacts and parental mental illness as covariates. RESULTS: The crude odds of any mental disorder among children aged 6-13 years was increased approximately threefold in children showing pervasive risk or misconduct risk profiles at the age of 5 years, and approximately sevenfold in children with special needs, relative to children showing no risk; patterns of association largely remained after adjusting for covariates. Children with special needs and the misconduct risk class used mental health services over a greater number of days than the no risk class. CONCLUSION: Patterns of early childhood developmental vulnerability are associated with subsequent onset of mental disorders and have the potential to inform interventions to mitigate the risk for mental disorders in later childhood and adolescence.

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.

Childhood Maltreatment and Early Developmental Vulnerabilities at Age 5 Years.

This study examined associations between maltreatment and early developmental vulnerabilities in a population sample of 68,459 children (Mage  = 5.62 years, SD = .37) drawn from the Australian state of New South Wales, using linked administrative data for the children and their parents (collected 2001-2009). Associations were estimated between (a) any maltreatment, (b) the number of maltreatment types, and (c) the timing of first reported maltreatment and vulnerability and risk status on multiple developmental domains (i.e., physical, social, emotional, cognitive, and communication). Pervasive associations were revealed between maltreatment and all developmental domains; children exposed to two or more maltreatment types, and with first maltreatment reported after 3 years of age, showed greater likelihood of vulnerability on multiple domains, relative to nonmaltreated children.

Latent profiles of early developmental vulnerabilities in a New South Wales child population at age 5 years.

OBJECTIVE: Detecting the early emergence of childhood risk for adult mental disorders may lead to interventions for reducing subsequent burden of these disorders. We set out to determine classes of children who may be at risk for later mental disorder on the basis of early patterns of development in a population cohort, and associated exposures gleaned from linked administrative records obtained within the New South Wales Child Development Study. METHODS: Intergenerational records from government departments of health, education, justice and child protection were linked with the Australian Early Development Census for a state population cohort of 67,353 children approximately 5 years of age. We used binary data from 16 subdomains of the Australian Early Development Census to determine classes of children with shared patterns of Australian Early Development Census-defined vulnerability using latent class analysis. Covariates, which included demographic features (sex, socioeconomic status) and exposure to child maltreatment, parental mental illness, parental criminal offending and perinatal adversities (i.e. birth complications, smoking during pregnancy, low birth weight), were examined hierarchically within latent class analysis models. RESULTS: Four classes were identified, reflecting putative risk states for mental disorders: (1) disrespectful and aggressive/hyperactive behaviour, labelled 'misconduct risk' ( N = 4368; 6.5%); (2) 'pervasive risk' ( N = 2668; 4.0%); (3) 'mild generalised risk' ( N = 7822; 11.6%); and (4) 'no risk' ( N = 52,495; 77.9%). The odds of membership in putative risk groups (relative to the no risk group) were greater among children from backgrounds of child maltreatment, parental history of mental illness, parental history of criminal offending, socioeconomic disadvantage and perinatal adversities, with distinguishable patterns of association for some covariates. CONCLUSION: Patterns of early childhood developmental vulnerabilities may provide useful indicators for particular mental disorder outcomes in later life, although their predictive utility in this respect remains to be established in longitudinal follow-up of the cohort.

Associations of Early- and Later-Childhood Poverty With Child Cognitive Function in Indonesia: Effect Decomposition in the Presence of Exposure-Induced Mediator-Outcome Confounding.

The amount of family financial resources available in early life influences child health and development. Using data from the 2000 and 2007 waves of the Indonesian Family Life Survey, we estimated the associations of early-life poverty (at age <7 years) and poverty in later childhood (at age 7-14 years) with cognitive function at age 7-14 years. Our analysis provided little support for the idea that an early intervention to support household income has a larger effect than intervention later in childhood; both seemed equally important. We also decomposed the effect of poverty at age <7 years into direct and indirect effects mediated through poverty and schooling/home environment at age 7-14 years. For decomposing the effects, we used 3 approaches: 1) joint mediators, 2) path-specific, and 3) intervention analog. Being exposed to poverty before age 7 years had a larger direct effect (difference in cognitive function z score) on child cognitive function at age 7-14 years (i.e., joint mediators ß = -0.07, 95% confidence interval: -0.12, -0.02) than the indirect effects mediated through later poverty at age 7-14 years (ß = -0.01, 95% confidence interval: -0.04, 0.01) and school attendance/home environment at age 7-14 years. The effect of poverty on cognitive function was small; nevertheless, financial intervention may still benefit children's cognitive function.

Efficacy of infant simulator programmes to prevent teenage pregnancy: a school-based cluster randomised controlled trial in Western Australia.

BACKGROUND: Infant simulator-based programmes, which aim to prevent teenage pregnancy, are used in high-income as well as low-income and middle-income countries but, despite growing popularity, no published evidence exists of their long-term effect. The aim of this trial was to investigate the effect of such a programme, the Virtual Infant Parenting (VIP) programme, on pregnancy outcomes of birth and induced abortion in Australia. METHODS: In this school-based pragmatic cluster randomised controlled trial, eligible schools in Perth, Western Australia, were enrolled and randomised 1:1 to the intervention and control groups. Randomisation using a table of random numbers without blocking, stratification, or matching was done by a researcher who was masked to the identity of the schools. Between 2003 and 2006, the VIP programme was administered to girls aged 13-15 years in the intervention schools, while girls of the same age in the control schools received the standard health education curriculum. Participants were followed until they reached 20 years of age via data linkage to hospital medical and abortion clinic records. The primary endpoint was the occurrence of pregnancy during the teenage years. Binomial and Cox proportional hazards regression was used to test for differences in pregnancy rates between study groups. This study is registered as an international randomised controlled trial, number ISRCTN24952438. FINDINGS: 57 (86%) of 66 eligible schools were enrolled into the trial and randomly assigned 1:1 to the intervention (28 schools) or the control group (29 schools). Then, between Feb 1, 2003, and May 31, 2006, 1267 girls in the intervention schools received the VIP programme while 1567 girls in the control schools received the standard health education curriculum. Compared with girls in the control group, a higher proportion of girls in the intervention group recorded at least one birth (97 [8%] of 1267 in the intervention group vs 67 [4%] of 1567 in the control group) or at least one abortion as the first pregnancy event (113 [9%] vs 101 [6%]). After adjustment for potential confounders, the intervention group had a higher overall pregnancy risk than the control group (relative risk 1·36 [95% CI 1·10-1·67], p=0·003). Similar results were obtained with the use of proportional hazard models (hazard ratio 1·35 [95% CI 1·10-1·67], p=0·016). INTERPRETATION: The infant simulator-based VIP programme did not achieve its aim of reducing teenage pregnancy. Girls in the intervention group were more likely to experience a birth or an induced abortion than those in the control group before they reached 20 years of age. FUNDING: Western Australian Health Promotion Foundation (Healthway), Lotteries WA, the Western Australian Department of Education and Training, and the Western Australian Department of Health.

Hospital admission for infection during early childhood influences developmental vulnerabilities at age 5 years.

AIM: Childhood infectious diseases can be associated with later physical and psychological ill health, and the effects of this association may be evident during early childhood development. This study aimed to examine the effects of hospitalisation for early life infection on early childhood development. METHODS: Hospital admission data for infection were obtained from the New South Wales Ministry of Health Admitted Patient Data Collection for 87 026 children, for whom the Australian Early Development Census (AEDC) was completed in their first year of formal schooling (age approximately 5 years). The AEDC provides estimates of each child's level of functioning on five domains of development spanning social and emotional skills, communication skills, numeracy and literacy and physical health. Multinomial logistic regressions were used to determine the relationship between exposure to hospital admissions for infectious disease prior to age 4 years and vulnerability on the AEDC. Models were adjusted for the effects of potential confounding factors related to the perinatal period, exposure to maltreatment and family characteristics. RESULTS: Single and multiple hospitalisation(s) for infections were consistently associated with increased likelihood of being developmentally vulnerable on all AEDC domains, with odds ratios ranging from 1.02 to 1.28, after adjustment for confounding factors. CONCLUSIONS: This study demonstrates a pervasive effect of early life infections that require hospital admission on multiple aspects of early child development, even after adjustment for potential confounding factors. Relatively, severe infection during early childhood constitutes a risk factor for developmental vulnerability by the time of entry to school.

Anaemia of pregnancy, perinatal outcomes and children's developmental vulnerability: a whole-of-population study.

BACKGROUND: There is limited longitudinal data from high-income countries on the sequelae of anaemia during pregnancy. The aim of this study is to examine whether anaemia of pregnancy is associated with adverse perinatal outcomes and with children's developmental vulnerability. METHODS: We conducted a population-based study to link routinely collected government administrative data that involved all live births in the state of South Australia 1999-2005 (n = 124 061) and a subset for whom developmental data were collected during a national census of children attending their first year of school in 2009 (n = 13 654). Perinatal outcomes were recorded by midwives using a validated, standardised form. Development was recorded by schoolteachers using the Australian Early Development Index (AEDI). Children in the lowest 10% of AEDI scores are indicative of developmental vulnerability. RESULTS: There were 8764/124 061 (7.1%) cases of anaemia. After adjustment for a range of potentially confounding factors, anaemia of pregnancy was associated with a higher risk of fetal distress [incident rate ratio (IRR) 1.20 [95% CI 1.13, 1.27]] and preterm birth <37 weeks gestation (IRR 1.23 [1.15, 1.31]), slightly higher birthweight [14 g (2, 26)] and newborns were less likely to require resuscitation (IRR 0.94 [0.91, 0.097]). Anaemia of pregnancy was not associated with children's developmental vulnerability after adjustment for maternal, obstetric and sociodemographic covariables, either in complete case analyses (n = 11 949) or after imputation for missing data (n = 13 654). CONCLUSIONS: Anaemia of pregnancy is associated with perinatal complications but not with children's developmental vulnerability at school entry.

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.

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.

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.

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.