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New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes
BACKGROUND: Childhood 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 adol...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2984501/ https://www.ncbi.nlm.nih.gov/pubmed/20969745 http://dx.doi.org/10.1186/1471-2288-10-100 |
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author | Sabin, Matthew A Clemens, Susan L Saffery, Richard McCallum, Zoe Campbell, Michele W Kiess, Wieland Crimmins, Nancy A Woo, Jessica G Leong, Gary M Werther, George A Ukoumunne, Obioha C Wake, Melissa A |
author_facet | Sabin, Matthew A Clemens, Susan L Saffery, Richard McCallum, Zoe Campbell, Michele W Kiess, Wieland Crimmins, Nancy A Woo, Jessica G Leong, Gary M Werther, George A Ukoumunne, Obioha C Wake, Melissa A |
author_sort | Sabin, Matthew A |
collection | PubMed |
description | BACKGROUND: Childhood 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. AIM: To 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. METHODS: The '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 harmonisation of data and sample collection will achieve required statistical power. RESULTS: Ethical 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. CONCLUSIONS: In 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. |
format | Text |
id | pubmed-2984501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29845012010-11-19 New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes Sabin, Matthew A Clemens, Susan L Saffery, Richard McCallum, Zoe Campbell, Michele W Kiess, Wieland Crimmins, Nancy A Woo, Jessica G Leong, Gary M Werther, George A Ukoumunne, Obioha C Wake, Melissa A BMC Med Res Methodol Correspondence BACKGROUND: Childhood 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. AIM: To 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. METHODS: The '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 harmonisation of data and sample collection will achieve required statistical power. RESULTS: Ethical 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. CONCLUSIONS: In 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. BioMed Central 2010-10-22 /pmc/articles/PMC2984501/ /pubmed/20969745 http://dx.doi.org/10.1186/1471-2288-10-100 Text en Copyright ©2010 Sabin et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Correspondence Sabin, Matthew A Clemens, Susan L Saffery, Richard McCallum, Zoe Campbell, Michele W Kiess, Wieland Crimmins, Nancy A Woo, Jessica G Leong, Gary M Werther, George A Ukoumunne, Obioha C Wake, Melissa A New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes |
title | New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes |
title_full | New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes |
title_fullStr | New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes |
title_full_unstemmed | New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes |
title_short | New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes |
title_sort | new directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2984501/ https://www.ncbi.nlm.nih.gov/pubmed/20969745 http://dx.doi.org/10.1186/1471-2288-10-100 |
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