DOI: 10.3886/icpsr31421.v1
title: New York City Health and Nutrition Examination Survey (NYC HANES), 2004
title: Version 1

description: 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.
description: The NYC HANES was designed to provide prevalence information on (1) conditions that can be identified only through a physical examination (e.g., hypertension) or biologic specimen testing (e.g., diabetes) and (2) conditions that are not easily ascertained by a telephone survey (i.e., mental illness and conditions related to drug use, sexual behavior, incarceration, and domestic violence). Survey topics were selected to provide baseline data on priority chronic and infectious conditions for which intervention programs either exist or can be initiated. The survey was designed so that periodic repetition (approximately every five to seven years) will allow for population-based, outcome-oriented evaluation of local health interventions. Findings from the NYC HANES will complement but not duplicate information gathered from existing data sources within the New York City Department of Health and Mental Hygiene, including data from an annual random-digit dialed telephone survey.
description: It is important for data users to utilize the sample weights that have been provided in order to produce unbiased citywide estimates. Three types of weights have been constructed for the NYC HANES sample: (1) WTSF1CH (Clinic + Home weight) used for interview and exam components captured either at the clinic or home exam, (e.g., CAPI, EXAM). All 1,999 SPs have this weight. (2) WTSF1C (Clinic only weight) used for interview and exam components that were only captured at the clinic, (e.g., ACASI, CIDI, non-fasting measures from LABS); 1,861 of all 1,999 SPs completed at least one of these components and have this weight. (3) WTSF1F (Fasting weight) used only for fasting subsample (e.g., fasting glucose and triglycerides); 1,350 of all 1,999 SPs were included in this subsample and have this weight.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes..
description: Response Rates: Of those identified, 1,999 individuals participated in the survey, yielding a response rate of 55 percent.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Study Participant File (SPfile) 
 DS2: Computer-Assisted Personal Interview (CAPI) 
 DS3: Audio Computer-Assisted Self-Interview (ACASI) 
 DS4: Composite International Diagnostic Interview (CIDI) 
 DS5: Examination Component 
 DS6: Laboratory Component
description: audio computer-assisted self interview (ACASI), computer-assisted personal interview (CAPI), computer-assisted self interview (CASI), face-to-face interview 
For more information on this study, please visit the New York City Health and Nutrition Survey Web site: www.nyc.gov/health/nychanes.
description: New York City adults aged 20 years and older.
description: Survey field staff approached a total of 4,026 households. Eligibility screening questionnaires were completed for 3,388 (84 percent) households. Of the 638 (16 percent) households for which individuals did not complete questionnaires, refusals accounted for 12 percent; other questionnaires were not completed because of an inability to enter the home, the illness of a resident, language barriers, or an inability to reach residents. Of the 3,388 households with completed eligibility questionnaires, 3,047 study participants were identified. Of these study participants, 2,306 (76 percent) made an appointment, and 1,999 (66 percent) completed the survey, thus, the overall response rate was 55 percent. A participant was considered to have completed the survey if they had non-missing data on age and gender, and if they had valid data for at least one body measurement, blood pressure measurement, or lab value.