A database of human exposomes and phenomes from the US National Health and Nutrition Examination Survey

The National Health and Nutrition Examination Survey (NHANES) is a population survey implemented by the Centers for Disease Control and Prevention (CDC) to monitor the health of the United States whose data is publicly available in hundreds of files. This Data Descriptor describes a single unified and universally accessible data file, merging across 255 separate files and stitching data across 4 surveys, encompassing 41,474 individuals and 1,191 variables. The variables consist of phenotype and environmental exposure information on each individual, specifically (1) demographic information, physical exam results (e.g., height, body mass index), laboratory results (e.g., cholesterol, glucose, and environmental exposures), and (4) questionnaire items. Second, the data descriptor describes a dictionary to enable analysts find variables by category and human-readable description. The datasets are available on DataDryad and a hands-on analytics tutorial is available on GitHub. Through a new b...全国健康与营养检查调查（National Health and Nutrition Examination Survey, NHANES）是由美国疾病控制与预防中心（Centers for Disease Control and Prevention, CDC）牵头实施的人群健康监测项目，其原始数据以数百份独立文件的形式对外公开。本数据描述文档介绍了一份统一整合且通用可及的数据文件：该文件整合了255个独立文件的数据，并拼接了4项调查的数据集，涵盖41474名受访者与1191个变量。这些变量包含每名受访者的表型与环境暴露信息，具体包括(1) 人口统计学信息、体格检查结果（如身高、体重指数）、实验室检测结果（如胆固醇、血糖及环境暴露相关指标），以及(4) 问卷条目。其次，本数据描述文档附带了一套变量检索字典，支持分析人员按类别与易读的描述信息快速定位目标变量。该数据集可在DataDryad平台获取，配套的实操分析教程则发布于GitHub平台。本研究通过一项全新的b[原文未完整表述]