Overview
Background
I am a Postdoctoral Research Fellow in Digital Health and Accredited Practising Dietitian (APD) interested in the prevention and management of noncommunicable diseases, especially obesity, across the lifecourse.
Through research, I aim to add health to life and equity to health by changing policies and practices to reduce the impact of obesity.
My research program aims to forge a new nexus across dietetics, digital health and public health to improve healthy weight. In my Postdoctoral Fellowship, I have established a new evidence base that supports precision public health approaches to the prevention and management of obesity, including innovate methods of public health surveillance that can use data from sources such as electronic medical records. I trained as a Paediatric Dietitian and have experience as a clinician-researcher working in Queensland's healthcare system, specifically in preventing and managing childhood obesity via clinical, community, and public health programs.
I have used epidemiology, public health informatics, action research, co-design, and ethnographic methods to generate new knowledge in obesity and digital health. I was awarded my PhD (UQ) in November 2020, which developed and validated i-PATHWAY, a clinical model to predict childhood obesity from the first 1,000 days to help guide its prevention. This research was the first of its kind in Australia and uncovered new evidence for risk factors for childhood obesity that are evident from the early years.
At The University of Queensland (UQ), I am a member of the Queensland Digital Health Centre, located within the Centre for Health Services Research (Faculty of Medicine). I established and currently Co-Chair the UQ Digital Health HDR Cohort, which provides research mentorship and support to ~20 PhD, MPhil and Honours research students.
Our team partners closely with multiple healthcare and research organisations across Australia to innovate and translate obesity research into practice, including Health and Wellbeing Queensland (public health and prevention of chronic diseases), Queensland Health (healthcare system) and the Digital Health Cooperative Research Centre (digital health research). I hold an Honorary Appointment with Health and Wellbeing Queensland, and an Affiliate Research Fellow position with the Faculty of Medicine (UQ) to help bridge the gap between obesity research and practice.
Availability
- Dr Oliver Canfell is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor of Exercise and Nutrition Sciences, The University of Queensland
- Masters (Coursework) of Dietetics Studies, The University of Queensland
- Doctor of Philosophy, The University of Queensland
Research interests
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Obesity
Clinical prevention, health promotion
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Digital health
Artificial intelligence, predictive analytics, digital hospitals, digital transformation
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Precision public health
Public health surveillance of noncommunicable diseases
Works
Search Professor Oliver Canfell’s works on UQ eSpace
2020
Journal Article
Building a Children’s Health Service and System Research Strategy: development and integration in an Australian paediatric healthcare setting
Littlewood, Robyn, Canfell, Oliver J. and Tracey, Frank (2020). Building a Children’s Health Service and System Research Strategy: development and integration in an Australian paediatric healthcare setting. BMC Health Services Research, 20 (1) 589, 589. doi: 10.1186/s12913-020-05267-6
2020
Journal Article
Interventions to prevent or treat childhood obesity in Māori & Pacific Islanders: a systematic review
Littlewood, Robyn, Canfell, Oliver J. and Walker, Jacqueline L. (2020). Interventions to prevent or treat childhood obesity in Māori & Pacific Islanders: a systematic review. BMC Public Health, 20 (1) 725, 725. doi: 10.1186/s12889-020-08848-6
2018
Journal Article
Response to 'Clinical relevance and validity of obesity risk prediction tools' by Redsell et al
Canfell, Oliver J., Littlewood, Robyn, Wright, Olivia R. L. and Walker, Jacqueline L. (2018). Response to 'Clinical relevance and validity of obesity risk prediction tools' by Redsell et al. Public Health Nutrition, 21 (17), 1-2. doi: 10.1017/S1368980018002471
2018
Journal Article
Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review
Canfell, Oliver J., Littlewood, Robyn, Wright, Olivia R. L. and Walker, Jacqueline L. (2018). Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review. Public Health Nutrition, 21 (17), 1-13. doi: 10.1017/S1368980018001684
Funding
Past funding
Supervision
Availability
- Dr Oliver Canfell is:
- Available for supervision
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Supervision history
Completed supervision
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2025
Doctor Philosophy
Artificial Intelligence to Improve Clinical Outcomes in Hospitals
Associate Advisor
Other advisors: Professor Clair Sullivan, Professor Jason Pole, Associate Professor Sally Shrapnel
Media
Enquiries
Contact Dr Oliver Canfell directly for media enquiries about:
- childhood obesity
- digital health
- nutrition
- obesity
- public health
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