PRECIS: PRecision Evidence for Childhood obesity prevention InterventionSGlobal Centre for Preventive Health and Nutrition
PRECIS will bring together the best international evidence around complex community-based interventions to prevent child and adolescent obesity. The project has been funded by the NHMRC Ideas scheme for 4 years (2021–2024).
Over the past 20 years, our trials have shown that childhood obesity is preventable through community-based interventions (CBIs). However, there is significant variation in effectiveness, and the most important drivers of this variation are unclear.
The overall objective of this project is to generate the best possible evidence to demonstrate how CBIs can have the greatest impact on childhood obesity.
The data available from our completed and ongoing large-scale studies include a wide range of exposure, outcome and process data at the individual, community, and intervention levels. We will collate and harmonise all variables across the datasets to create a data repository with standardised exposure and outcome metrics and data structures.
In order to understand the predictors of success in these interventions, we will employ both traditional epidemiological analysis, and novel artificial intelligence (specifically machine learning) analysis.
The major aims of PRECIS are:
1) Identify and validate combinations of individual, community and intervention characteristics in community-based obesity prevention interventions that most strongly predict intervention effectiveness.
2) Identify and quantify the broader impacts (co-benefits) of community-based obesity prevention and the impact of these additional benefits on cost-effectiveness estimates.
3) Establish an international knowledge translation and exchange network for community-based obesity prevention.
This approach will facilitate a nuanced understanding of the context and mechanisms of community-based obesity prevention, and optimise community responses in the future.
PRECIS is an international collaboration, including leaders in community-based obesity prevention from three countries. If you are working in this area and are interested in being involved in PRECIS or contributing data to the repository, please be in touch with lead investigator, Dr Melanie Nichols email@example.com
Dr Melanie Nichols, Deakin University
Associate Professor Kathryn Backholer, Deakin University
Professor Boyd Swinburn, University of Auckland
Dr Victoria Brown, Deakin University
Dr Thin Nguyen, Deakin University
Professor Christina Economos, Tufts University
Professor Steve Allender, Deakin University
Alfred Deakin Professor Anna Peeters, Deakin University
Emeritus Professor Marj Moodie, Deakin University
Professor Rachel Novotny, University of Hawaii
Professor Liliana Orellana, Deakin University
Professor Luke Wolfenden, University of Newcastle