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Effects of maternal dietary egg intake during early lactation on human milk ovalbumin concentration: A randomized controlled trial

Increased maternal egg ingestion is associated with increased breastmilk ovalbumin, and markers of immune tolerance in infants

Economic Evaluation of The Luminos Project: Early intervention residential centre for young people experiencing thoughts of suicide

The Luminos Project has been co-designed with global experts in youth suicide support, mental health services, and research, alongside input from young people with lived experience, ensuring it meets their needs effectively.

The relationship between maternal folate status in pregnancy, cord blood folate levels, and allergic outcomes in early childhood

This study examined whether maternal and/or fetal folate status in pregnancy is associated with infant allergic outcomes.

Koorlungkas yarning: Exploring the impact of OM on early language and communication skills in urban Aboriginal families

Deborah Peter Lehmann Richmond AO, MBBS, MSc MBBS MRCP(UK) FRACP Honorary Emeritus Fellow Head, Vaccine Trials Group Honorary Emeritus Fellow Head,

Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project-EU Child Cohort Network: A Cohort Description

The EU LifeCycle Project was launched in 2017 to combine, harmonize, and analyze data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview of the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project.

Overarching Evaluation of the National Support for Child and Youth Mental Health Program- Final Report

The National Support for Child and Youth Mental Health Program (the Program) aims to improve mental health outcomes for children and young people, commencing with the early years and going through to adolescence, by providing targeted grants for workforce and education activities that will build capabilities aligned to the Program objectives.

Growing Up Rural: Rurality as a Predictor of Child Mental Health in an Australian Cohort

There is a paucity of longitudinal research comparing early-life mental health in rural and metropolitan communities. Living in rural areas is associated with limited access to specialist care, as well as additional stresses such as natural disasters. To address health disparities for rural communities it is critical to understand variance in predictors and outcomes for child mental health.

Caregiver-Mediated Early Support Program Delivered Online Versus Care-as-Usual for Infants at Elevated Familial Likelihood for Autism

LiL' STEPS (Language development & Intervention Lab's SupporTing Early social-communication and language by Promoting caregiver Sensitive responsiveness) is a novel, manualized, caregiver-mediated early support program developed in India and delivered online for infants at elevated familial likelihood for autism. The program has been found to be feasible and acceptable. The preliminary efficacy of the LiL' STEPS program, which remains to be evaluated, was assessed in this study using a feasibility randomized controlled trial design. 

Performance of the Autism Observation Scale for Infants with community-ascertained infants showing early signs of autism

We investigated whether a commonly used research assessment - the Autism Observation Scale for Infants (AOSI) - accurately measures autism behaviours among infants showing early signs of autism identified within the community. The AOSI is often included in studies tracking the development of infants at increased likelihood of autism, such as the infant siblings of diagnosed children. However, the suitability of this measure has not previously been tested with community-referred infants.

Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniques

The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood