Development and Implementation of a Global Human Metabolic Physiology Database

每日总能量消耗(TEE)是一个人每天燃烧的卡路里总量。TEE测量对于研究关于能量分配、人类生理和适应的基本问题以及了解个人特征和生活方式因素与常见疾病(如肥胖和糖尿病)的关系至关重要。然而，考虑到数据收集的费用和跨项目的数据可获得性有限，TEE数据很难获得和使用。该项目将支持开发一个由美国和其他国家的领先TEE实验室贡献的全球数据库，其中包括10,000多个TEE测量值。将这些TEE数据公开给研究人员，将推动生物人类学、生理学和公共卫生领域的科学进步。该项目还将支持培训和教育讲习班，扩大到STEM中代表性不足的群体，教育生物人类学和相关领域的研究人员了解代谢研究的当前技术和进展，并促进基础科学和应用科学在人类生物学和健康方面的协同研究。该数据库将存储全球人口的n=10,000+个TEE和相关数据(人体测量学和生态变量)。所有TEE数据都来自双标签水分测量，这是TEE的黄金标准。该项目将使用这些数据来测试人体测量学、生殖状况和生态因素对TEE的影响。将开发在线数据库和免费提供的R脚本，以鼓励和支持世界各地的研究人员使用该数据库。将举办一次研讨会，培训研究人员(特别是职业早期和代表性不足的群体)现代代谢研究方法。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Daily total energy expenditure (TEE) is the total number of calories an individual burns each day. TEE measures are critically important for investigating fundamental questions about energy allocation, human physiology and adaptations, as well as for understanding how individual characteristics and lifestyle factors are related to common morbidities such as obesity and diabetes. However, TEE data are difficult to obtain and use given the expense of data collection and limited data accessibility across projects. This project will support the development of a freely accessible global database of over 10,000 TEE measurements, contributed by leading TEE laboratories in the U.S. and other countries. Making these TEE data openly available to researchers will advance science in biological anthropology, physiology, and public health. This project will also support training and education workshops, with outreach to underrepresented groups in STEM, to educate researchers in biological anthropology and related fields in current techniques and advances in metabolic research, and to foster synergistic research across basic and applied sciences in human biology and health. The database will house n=10,000+ measures of TEE and related data (anthropometrics and ecological variables) for populations around the globe. All TEE data are from doubly labeled water measurements, the gold standard for TEE. This project will use these data to test the effects of anthropometrics, reproductive status, and ecological factors on TEE. The online database and freely available R scripts will be developed to encourage and support use of the database by researchers worldwide. A workshop will be held to train researchers (especially early career and underrepresented groups) in modern methods of metabolic research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.