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National snapshot of children's development

Nearly a quarter of Australian children could be developmentally at risk, according to the findings of the Australian Early Development Index (AEDI)

Research

Evaluation of the Child and Family Assessment and Referral Network (CFARN)

Yasmin Sandra Mary Harman-Smith Van Diermen Brushe BA, BHlthSc(Hons), PhD BPsych(Hons), PhD (Public Health) Head, Early Years Systems Evidence; Head

Research

Playful Bytes

Nurturing children's health together: A collaboration between early childhood education and care (ECEC) educators and parents on active play and eating well

Research

Immunogenicity, Reactogenicity, and Safety of a Pentavalent Meningococcal ABCWY Vaccine in Adolescents and Young Adults who had Previously Received a Meningococcal ACWY Vaccine

A MenABCWY vaccine containing 4CMenB and MenACWY-CRM vaccine components has been developed to protect against the 5 meningococcal serogroups that cause most invasive disease cases.

Research

The moderating role of parent perceptions in relationships between objectively measured neighbourhood environment attributes and pre-schooler's physical activity: Findings from the PLAYCE study

We examined the moderating effects of parent perceptions of the neighbourhood environment on associations between objectively measured neighbourhood environment attributes and physical activity among pre-schoolers. The number of neighbourhood parks was positively associated with pre-schooler energetic play when parents had above average perceptions of access to services.

Research

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

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.

Research

Long maternal working hours were linked to obesity, underweight and stunting in children under age 5 in China

This study assessed the relationship between maternal working hours and stunting, underweight and obesity in children under age 5 in China, using data from the China Nutrition and Health Survey (CNHS) conducted in 2002 and multivariable logistic regression. We found that maternal work hours 25–40 or >40 h per week were associated with a higher risk for underweight and stunting (under growth) in children under age 5.

Research

Plasma adenosine deaminase-1 and -2 activities are lower at birth in Papua New Guinea than in The Gambia but converge over the first weeks of life

Dynamic cellular and molecular adaptations in early life significantly impact health and disease. Upon birth, newborns are immediately challenged by their environment, placing urgent demands on the infant immune system. 

Research

Epigenomic variability is associated with age-specific naïve CD4 T cell response to activation in infants and adolescents

Childhood is a critical period of immune development. During this time, naïve CD4 T cells undergo programmed cell differentiation, mediated by epigenetic changes, in response to external stimuli leading to a baseline homeostatic state that may determine lifelong disease risk. However, the ontogeny of epigenetic signatures associated with CD4 T cell activation during key developmental periods are yet to be described.

Research

Powerful promotions: An investigation of the teen-directed marketing power of outdoor food advertisements located near schools in Australia

Adolescents are heavily exposed to unhealthy outdoor food advertisements near schools, however, the marketing power of these advertisements among adolescents has not yet been explored. This study aimed to investigate the teen-directed marketing features present and quantify the overall marketing power of outdoor food advertisements located near schools to explore any differences by content (ie, alcohol, discretionary, core and miscellaneous foods) school type (ie, primary, secondary, K-12) and area-level socio-economic status (SES; ie, low vs high).