Research that focuses on describing the course of cognitive development from young adulthood into old age.
The Data Analysis in Population Health Hub is a meeting place for sharing methods and expertise in data analysis, across all research themes of RSPH.
It is estimated that approximately 99.3% of males and 89.9% of females aged 65+ are licensed drivers.
Our research examines how environmental exposures affect health and disease.
Our group conducts innovative large-scale research on chronic disease, variation in health and healthcare and disadvantaged populations.
The healthy ageing stream uses a life-span developmental approach to investigate and promote physical and mental wellbeing in older adulthood.
This theme applies multidisciplinary approaches to emerging issues in communicable diseases.
Integration and Implementation Sciences (I2S) is a new discipline providing concepts and methods for conducting research on complex, real-world problems.
This unit focuses on learning and development within CMHR.
This unit focuses on promoting greater consumer involvement in research content and practice by serving as a bridge between consumers and researchers.
The Mental Health and Wellbeing group focuses on the psycho-social-behavioural factors that impact on individuals’ mental health and wellbeing across lifespan.
This unit focuses on decision support systems in health and social policy.
GRAPHC promotes and facilitates the use of geographical information systems (GIS).
The NeuroImaging & Brain Lab (NIMBL) is particularly interested in investigating the associations between the influence of health and environmental factors.
This unit focuses on the prevention of anxiety, depression and suicide and the promotion of help-seeking in educational systems.
This research group focuses on the mental health of people living in regional, rural and remote areas in Australia.
The social gerontology stream researches how social relationships, psychological resources and personality characteristics are related to health.
Bringing and building social science theory to understand the social and cultural determinants of health, how society produces health and the lived experience.
This unit focuses on the importance and quality of health information on the Internet and disseminating information on mental health.
The Visual and Decision Analytics (VIDEA) lab is a research infrastructure and organisation to enable and facilitate decision making in mental health policy.