New York City Health and Nutrition Examination Survey (NYC HANES), 2004

The New York City Department of Health and Mental Hygiene, with support from the National Center for Health Statistics, conducted the New York City Health and Nutrition Examination Survey (NYC HANES) to improve disease surveillance and establish citywide estimates for several previously unmeasured health conditions from which reduction targets could be set and incorporated into health policy planning initiatives. NYC HANES also provides important new information about the prevalence and control of chronic disease precursors, such as undiagnosed hypertension, hypercholesterolemia, and impaired fasting glucose, which allow chronic disease programs to monitor more proximate health events and rapidly evaluate primary intervention efforts. Study findings are used by the public health community in New York City, as well as by researchers and clinicians, to better target resources to the health needs of the population. The NYC HANES data consist of the following six datasets: (1) Study Participant File (SPfile), (2) Computer-Assisted Personal Interview (CAPI), (3) Audio Computer-Assisted Self-Interview (ACASI), (4) Composite International Diagnostic Interview(CIDI), (5) Examination Component, and (6) Laboratory Component. The Study Participant File contains variables necessary for all analyses, therefore, when using the other datasets, they should be merged to this file. Variable P_ID is the unique identifier used to merge all datasets. Merging information from multiple NYC HANES datasets using SP_ID ensures that the appropriate information for each SP is linked correctly. (SAS datasets must be sorted by SP_ID prior to merging.) Please note that NYC HANES datasets may not have the same number of records for each component because some participants did not complete each component. Demographic variables include race/ethnicity, Hispanic origin, age, body weight, gender, education level, marital status, and country of birth.

纽约市卫生与精神卫生部（New York City Department of Health and Mental Hygiene）在美国国家卫生统计中心（National Center for Health Statistics）的支持下，开展了纽约市健康与营养检查调查（New York City Health and Nutrition Examination Survey，简称NYC HANES），旨在完善疾病监测体系，并为多项此前未被量化的健康状况建立全市范围的患病率估算值，以此制定减控目标并将其纳入卫生政策规划工作。
NYC HANES还为慢性疾病前驱状态的流行情况与防控现状提供了关键新数据，例如未确诊高血压（undiagnosed hypertension）、高胆固醇血症（hypercholesterolemia）以及空腹血糖受损（impaired fasting glucose）；此类数据可帮助慢性疾病防控项目监测更贴近临床的健康事件，并快速评估初级干预措施的实施效果。
该研究的结果已被纽约市公共卫生领域、科研人员与临床工作者所采用，以更精准地将卫生资源投向人群的重点健康需求。
NYC HANES数据集包含以下6个子数据集：(1) 研究参与者文件（Study Participant File，SPfile）；(2) 计算机辅助个人访谈（Computer-Assisted Personal Interview，CAPI）；(3) 音频计算机辅助自填式访谈（Audio Computer-Assisted Self-Interview，ACASI）；(4) 复合性国际诊断访谈（Composite International Diagnostic Interview，CIDI）；(5) 体格检查模块；(6) 实验室检测模块。
研究参与者文件包含所有分析所需的变量，因此在使用其他子数据集时，需将其与该文件进行合并。变量P_ID是用于合并所有数据集的唯一标识符。通过SP_ID对多个NYC HANES数据集的信息进行关联合并，可确保每位研究参与者的对应信息被正确匹配。（合并前需按SP_ID对SAS数据集（SAS datasets）进行排序）
请注意，NYC HANES各模块数据集的记录条数可能存在差异，因部分参与者未完成全部调查模块。
人口统计学变量包括种族/族裔、西班牙裔血统、年龄、体重、性别、受教育程度、婚姻状况以及出生国家。