Suppr超能文献

儿童肥胖研究的新方向:综合生物库如何实现更好的结果预测。

New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes.

出版信息

BMC Med Res Methodol. 2010 Oct 22;10:100. doi: 10.1186/1471-2288-10-100.

Abstract

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 harmonization 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.

摘要

背景

儿童肥胖与 2 型糖尿病和心血管疾病等疾病的早期发展有关。不幸的是,迄今为止,传统的研究方法未能确定有效的预防和治疗策略,大量儿童和青少年仍然面临与体重相关的疾病的高风险。

目的

建立一个独特的超重和肥胖儿童的“生物资料库”,以研究控制疾病风险的复杂“基因×环境”相互作用。

方法

“澳大利亚儿童超重生物资料库”收集基线环境、临床和人体测量数据,同时储存血液样本用于遗传、代谢和激素图谱。该研究设计还纳入了纵向数据收集的机会。数据和样本收集的国家和国际协调将实现所需的统计效力。

结果

已在母站点获得伦理批准,早期数据表明合格参与者的反应率很高(71%),全面数据收集的合规率很高(个别研究部分的范围为 56%至 97%)。多站点伦理批准正在进行中。

结论

随着时间的推移,预计这种全面的数据收集方法将能够早期识别最易患病的个体,并有助于完善预防和治疗计划。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验