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Supporting healthy tummies in bubs

Examining Sub-Fertility In a Prospective Birth Cohort

This research aims to examine subfertility in a population pregnancy cohort, analysing the underlying differences between sub fertile couples who conceive naturally, sub fertile couples who conceive using ART or non-IVF, and fertile couples.

Sub-project Summary

An outline of ORIGINS' active and completed sub-projects.

Cessation of Courier Service

ORIGINS is no longer offering courier services or home collection of samples.

Maternal and Child Mental Health and Wellbeing

Examining the pathways of perinatal maternal mental health that influence child mental health outcomes.

Physical Environment

ORIGINS sub-projects investigating the impact of the physical environment and lifestyle on health, development and chronic conditions.

Feasibility of home-based urine collection in children under 5 years in the ORIGINS birth cohort study: mixed method protocol and sample completion results

Urine is an attractive biospecimen for nutritional status and population health surveys. It is an excellent non-invasive alternative to blood for appropriate biomarkers in young children and is suitable for home-based collection, enabling representative collections across a population. However, the bulk of literature in this population is restricted to collection in primary care settings.

Multi-million-dollar investment in child health to support vital research

Four The Kids Research Institute Australia researchers have received prestigious fellowships and four significant cohort studies led or co-led by The Kids have received key grants under two new funding programs supported by the State Government’s Future Health Research and Innovation (FHRI) Fund.

ORIGINS: Nutritional Profile of Children Aged One Year in a Longitudinal Birth Cohort

Dietary intake during the first year of life is a key determinant of a child's growth and development. ORIGINS is a longitudinal birth cohort study investigating factors that contribute to a 'healthy start to life' and the prevention of non-communicable diseases.

Machine Learning Approaches for Anatomical Measurement in Fetal Ultrasound Images

This study is investigating whether a machine learning based approach can be used to improve fetal brain anatomy measurement for learning development studies.