Nearly one-third of Victorian births enrolled in landmark study
One of Australia's largest child and family research initiatives has established a new benchmark for population health research, demonstrating that large-scale, inclusive and multilingual participation in child health studies can be achieved across an entire state. Findings published in the International Journal of Epidemiology highlight the scale and diversity of Generation Victoria (GenV), a major research platform designed to support long-term improvements in health and wellbeing across the lifespan.
Led by the Murdoch Children's Research Institute (MCRI), GenV was created to address a longstanding gap in Australia's research infrastructure. The platform aims to support prediction, prevention and early intervention by bringing together health, education and environmental data from a large and diverse population cohort, allowing researchers to better understand the factors that influence outcomes throughout childhood and adulthood.
The newly published cohort profile describes what is believed to be the largest project of its kind in Australia. Almost 50,000 children and 74,000 parents have enrolled in GenV, representing around 30% of all eligible births during the study's two-year recruitment window. Participants were recruited through 58 Victorian birthing hospitals as well as through home-based participation pathways.
A key feature of the project is its focus on representation. Families from metropolitan, regional and rural communities are included, with 23% of participants living outside metropolitan areas. Recruitment materials and study information were made available in 26 languages, helping ensure participation from families across a broad range of cultural and linguistic backgrounds.
Researchers say this level of inclusion is critical to ensuring that health research findings are applicable to the communities they are intended to serve. Large cohort studies have historically struggled to recruit participants who face language, cultural, geographic or socioeconomic barriers to participation, potentially limiting the generalisability of findings.
"This research demonstrates it's achievable to build a large, inclusive, and multilingual population study at scale," GenV Design Lead Dr Libby Hughes said.
"By working closely with families and birthing hospitals across Victoria, GenV has recruited children and adults who reflect the real diversity of the community. That level of representation is essential for research to produce findings that are relevant, fair, and useful for everyone," Dr Hughes said.
The study authors note that Australia has previously lacked a population-scale, living research platform capable of monitoring health and wellbeing in real time and across generations. GenV was developed to fill this gap by providing an enduring research resource that can support multiple projects over many years.
The platform brings together participant-provided information, including biological samples, with routinely collected health, education and environmental data through secure data linkage processes. Researchers describe the model as a "build once, use many times" approach, allowing the same infrastructure to be used across a wide variety of studies and research questions.
By creating a shared resource rather than separate studies for each research question, GenV is intended to accelerate discovery, support policy evaluation, facilitate clinical and population-based trials and enable earlier identification of health and wellbeing risks. Researchers also anticipate that the platform will support collaborations both within Australia and internationally.
With both the GenV protocol and cohort profile now published and peer reviewed, the research community has access to detailed information regarding the study's design, participant characteristics and data infrastructure. This provides an important foundation for future collaborations, funding applications and secondary research projects using the resource.
"GenV was designed as a long-term research infrastructure," GenV Scientific Director and MCRI Professor Melissa Wake said.
"By securing this large bank of health information, it creates a foundation that researchers can use again and again to improve prediction, prevention, and early intervention across childhood and adulthood. To help make a real difference to the lives of all Australians," Professor Wake said.
The cohort also includes several population groups that are often underrepresented in large international studies. This includes strong participation from First Nations families, as well as families with Southern, South-Eastern, Eastern and Western Asian heritages. More than 30% of participating parents were born overseas, while at least one-quarter speak a language other than English at home.
The diversity of participating families extends beyond cultural and linguistic backgrounds. Parents in the study range in age from 15 to 54 years and include more than 48,000 mothers, 25,000 fathers and a range of other parents and guardians. Researchers note that this broad inclusion supports investigation of adult health and wellbeing during important life stages, expanding beyond the traditional mother-child focus common to many birth cohort studies.
According to the research team, the project's scale and inclusivity distinguish it from many existing international cohorts. They argue that meaningful advances in prevention and population health depend on studies that accurately reflect the communities they seek to understand and support.
"Many large studies struggle to include families who face language, time, or system barriers," GenV Deputy Scientific Director and MCRI Professor Sharon Goldfeld said.
"GenV shows that with the right design, implementation, people, and partnerships, it's possible to build research that reflects the whole population, can deliver on prevention, and supports better decision-making for health, education, and social policy," Professor Goldfeld said.
For clinicians and health researchers, GenV represents a significant new resource for understanding the factors that influence health trajectories from early life onwards. By combining large-scale participation with broad demographic representation and linked longitudinal data, the platform is intended to support evidence generation across a wide range of clinical, public health and policy questions for many years to come.