ArticleBMC medical research methodology2010
New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes.
Article in BMC medical research methodology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Data Resource Profile: Melbourne Children's LifeCourse initiative (LifeCourse).International journal of epidemiology · 2022Article
- Decreasing severity of obesity from early to late adolescence and young adulthood associates with longitudinal metabolomic changes implicated in lower cardiometabolic disease risk.International journal of obesity (2005) · 2022Article
- Association of the Brain-derived Neurotrophic Factor Val66Met Polymorphism with Body Mass Index, Fasting Glucose Levels and Lipid Status in Adolescents.Balkan journal of medical genetics : BJMG · 2020Article
- Psychosocial measures and weight change in a clinical paediatric population with obesity.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
- Sex and puberty-related differences in metabolomic profiles associated with adiposity measures in youth with obesity.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Obesity: predicting risk of later obesity from the first day of life.Nature reviews. Endocrinology · 2013Article
- The LIFE child study: a life course approach to disease and health.BMC public health · 2012Article
- Design and phenomenology of the FEBSTAT study.Epilepsia · 2012Article
- Article
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Authors and funding
12 authors.
Funding
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Abstract
backgroundChildhood obesity is associated with the early development of diseases such as type 2 diabetes and cardiovascular disease. Unfortunately, to date, traditional methods of research have failed to identify effective prevention and treatment strategies, and large numbers of children and adolescents continue to be at high risk of developing weight-related disease.
aimTo establish a unique 'biorepository' of data and biological samples from overweight and obese children, in order to investigate the complex 'gene × environment' interactions that govern disease risk.
methodsThe 'Childhood Overweight BioRepository of Australia' collects baseline environmental, clinical and anthropometric data, alongside storage of blood samples for genetic, metabolic and hormonal profiles. Opportunities for longitudinal data collection have also been incorporated into the study design. National and international harmonization of data and sample collection will achieve required statistical power.
resultsEthical approval in the parent site has been obtained and early data indicate a high response rate among eligible participants (71%) with a high level of compliance for comprehensive data collection (range 56% to 97% for individual study components). Multi-site ethical approval is now underway.
conclusionsIn time, it is anticipated that this comprehensive approach to data collection will allow early identification of individuals most susceptible to disease, as well as facilitating refinement of prevention and treatment programs.
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