The National Health Interview Survey (NHIS) is the principal source of information on the health of the civilian noninstitutionalized population of the United States and is one of the major data collection programs of the National Center for Health Statistics (NCHS) which is part of the Centers for Disease Control and Prevention (CDC). The National Health Survey Act of 1956 provided for a continuing survey and special studies to secure accurate and current statistical information on the amount, distribution, and effects of illness and disability in the United States and the services rendered for or because of such conditions. The survey referred to in the Act, now called the National Health Interview Survey, was initiated in July 1957. Since 1960, the survey has been conducted by NCHS, which was formed when the National Health Survey and the National Vital Statistics Division were combined. NHIS data are used widely throughout the Department of Health and Human Services (DHHS) to monitor trends in illness and disability and to track progress toward achieving national health objectives. The data are also used by the public health research community for epidemiologic and policy analysis of such timely issues as characterizing those with various health problems, determining barriers to accessing and using appropriate health care, and evaluating Federal health programs. The NHIS also has a central role in the ongoing integration of household surveys in DHHS. The designs of two major DHHS national household surveys have been or are linked to the NHIS. The National Survey of Family Growth used the NHIS sampling frame in its first five cycles and the Medical Expenditure Panel Survey currently uses half of the NHIS sampling frame. Other linkage includes linking NHIS data to death certificates in the National Death Index (NDI). While the NHIS has been conducted continuously since 1957, the content of the survey has been updated about every 10-15 years. In 1996, a substantially revised NHIS questionnaire began field testing. This revised questionnaire, described in detail below, was implemented in 1997 and has improved the ability of the NHIS to provide important health information.

analyze the national health interview survey (nhis) with r the national health interview survey (nhis) is a household survey about health status and utilization. each annual data set can be used to examine the disease burden and access to care that individuals and families are currently experiencing across the country. check out the wikipedia article (ohh hayy i wrote that) for more detail about its current and potential uses. if you're cooking up a health-related analysis that doesn't need medical expenditures or monthly health insurance coverage, look at nhis before the medical expenditure panel survey (it's sample is twice as big). the centers for disease control and prevention (cdc) has been keeping nhis real since 1957, and the scripts below automate the download, importation, and analysis of every file back to 1963. what happened in 1997, you ask? scientists cloned dolly the sheep, clinton started his second term, and the national health interview survey underwent its most recent major questionnaire re-design. here's how all the moving parts work: a person-level file (personsx) that merges onto other files using unique household (hhx), family (fmx), and person (fpx) identifiers. [note to data historians: prior to 2004, person number was (px) and unique within each household.] this file includes the complex sample survey variables needed to construct a taylor-series linearization design, and should be used if your analysis doesn't require variables from the sample adult or sample c hild files. this survey setup generalizes to the noninstitutional, non-active duty military population. a family-level file that merges onto other files using unique household (hhx) and family (fmx) identifiers. a household-level file that merges onto other files using the unique household (hhx) identifier. a sample adult file that includes questions asked of only one adult within each household (selected at random) - a subset of the main person-level file. hhx, fmx, and fpx identifiers will merge with each of the files above, but since not every adult gets asked thes e questions, this file contains its own set of weights: wtfa_sa instead of wtfa. you can merge on whatever other variables you need from the three files above, but if your analysis requires any variables from the sample adult questionnaire, you can't use records in the person-level file that aren't also in the sample adult file (a big sample size cut). this survey setup generalizes to the noninstitutional, non-active duty military adult population. a sample child file that includes questions asked of only one child within each household (if available, and also selected at random) - another subset of the main person-level file. same deal as the sample adult description, except use wtfa_sc instead of wtfa oh yeah and this one generalizes to the child population. five imputed income files. if you want income and/or poverty variables incorporated into any part of your analysis, you'll need these puppies. the replication example below uses these, but if that's impenetrable, post in the comments describing where you get stuck. some injury stuff and other miscellanea that varies by year. if anyone uses this, please share your experience. if you use anything more than the personsx file alone, you'll need to merge some tables together. make sure you understand the difference between setting the parameter all = TRUE versus all = FALSE -- not everyone in the personsx file has a record in the samadult and sam child files. this new github repository contains four scripts: 1963-2011 - download all microdata.R loop through every year and download every file hosted on the cdc's nhis ftp site import each file into r with SAScii save each file as an r d ata file (.rda) download all the documentation into the year-specific directory 2011 personsx - analyze.R load the r data file (.rda) created by the download script (above) set up a taylor-series linearization survey design outlined on page 6 of this survey document perform a smattering of analysis examples 2011 personsx plus samadult with multiple imputation - analyze.R load the personsx and samadult r data files (.rda) created by the download script (above) merge the personsx and samadult files, highlighting how to conduct analyses that need both create tandem survey designs for both personsx-only and merg ed personsx-samadult files perform just a touch of analysis examples load and loop through the five imputed income files, tack them onto the personsx-samadult file conduct a poverty recode or two analyze the multiply-imputed survey design object, just like mom used to analyze replicate cdc tecdoc - 2000 multiple imputation.R download and import the nhis 2000 personsx and imputed income files, using SAScii and this imputed income sas importation script (no longer hosted on the cdc's nhis ftp site). loop through each of the five imputed income files, merging each to the personsx file and performing the same set of...

2019–present. The National Health Interview Survey (NHIS) is a nationally representative household health survey of the U.S. civilian noninstitutionalized population. The NHIS data are used to monitor trends in illness and disability, track progress toward achieving national health objectives, for epidemiologic and policy analysis of various health problems, determining barriers to accessing and using appropriate health care, and evaluating Federal health programs. NHIS is conducted continuously throughout the year by the National Center for Health Statistics (NCHS). Public-use data files on adults and children with corresponding imputed income data files, and survey paradata are released annually. The NHIS data website (https://www.cdc.gov/nchs/nhis/documentation/index.html) features the most up-to-date public-use data files and documentation for downloading including questionnaire, codebooks, CSV and ASCII data files, programs and sample code, and in-depth survey description. Most of the NHIS data are included in the public use files. NHIS is protected by Federal confidentiality laws that state the data collected by NCHS may be used only for statistical reporting and analysis. Some NHIS variables have been suppressed or edited in the public use files to protect confidentiality. Analysts interested in using data that has been suppressed or edited may apply for access through the NCHS Research Data Center at https://www.cdc.gov/rdc/. In 2019, NHIS launched a redesigned content and structure that differs from its previous questionnaire designs. NHIS has been conducted continuously since 1957.

These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. The National Health Interview Survey (NHIS) is conducted annually and sponsored by the National Center for Health Statistics (NCHS), which is part of the U.S. Public Health Service. The purpose of the NHIS is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive across the United States population through the collection and analysis of data on a broad range of health topics. The redesigned NHIS questionnaire introduced in 1997 (see National Health Interview Survey, 1997 [ICPSR 2954]) consists of a core that remains largely unchanged from year to year, plus an assortment of supplements varying from year to year. The 2010 NHIS Core consists of three modules: Family, Sample Adult, and Sample Child. The datasets derived from these modules include Household Level, Family Level, Person Level, Injury/Poison Episode Level, Injury/Poison Verbatim Level, Sample Adult Level, and Sample Child level. The 2010 NHIS supplements consist of stand alone datasets for Cancer Level and Quality of Life data derived from the Sample Adult core and Disability Questions Tests 2010 Level derived from the Family core questionnaire. Additional supplementary questions can be found in the Sample Child dataset on the topics of cancer, immunization, mental health, and mental health services and in the Sample Adult dataset on the topics of epilepsy, immunization, and occupational health. Part 1, Household Level, contains data on type of living quarters, number of families in the household responding and not responding, and the month and year of the interview for each sampling unit. Parts 2-5 are based on the Family Core questionnaire. Part 2, Family Level, provides information on all family members with respect to family size, family structure, health status, limitation of daily activities, cognitive impairment, health conditions, doctor visits, hospital stays, health care access and utilization, employment, income, participation in government assistance programs, and basic demographic information. Part 3, Person Level, includes information on sex, age, race, marital status, education, family income, major activities, health status, health care costs, activity limits, and employment status. Parts 4 and 5, Injury/Poisoning Episode Level and Injury/Poisoning Verbatim Level, consist of questions about injuries and poisonings that resulted in medical consultations for any family members and contains information about the external cause and nature of the injury or poisoning episode and what the person was doing at the time of the injury or poisoning episode, in addition to the date and place of occurrence. A randomly-selected adult in each family was interviewed for Part 6, Sample Adult Level, regarding specific health issues, the relation between employment and health, health status, health care and doctor visits, limitation of daily activities, immunizations, and behaviors such as smoking, alcohol consumption, and physical activity. Demographic information, including occupation and industry, also was collected. The respondents to Part 6 also completed Part 7, Cancer Level, which consists of a set of supplemental questions about diet and nutrition, physical activity, tobacco, cancer screening, genetic testing, family history, and survivorship. Part 8, Sample Child Level, provides information from an adult in the household on medical conditions of one child in the household, such as developmental or intellectual disabilities, respiratory problems, seizures, allergies, and use of special equipment like hearing aids, braces, or wheelchairs. Parts 9 through 13 comprise the additional Supplements and Paradata for the 2010 NHIS. Part 9, Disability Questions Tests 2010 Level

The National Health Interview Survey (NHIS)—Teen was a follow-back survey of Sample Children ages 12-17 years old (herein teen) for whom a parent completed the National Health Interview Survey (NHIS) and also provided permission for the teen to participate. NHIS—Teen is a self-administered survey that teens completed themselves either on the web or paper (mailed). Recruitment for NHIS—Teen occurred July 2021—December 2023 during the NHIS Sample Child interview. Teens with permission received an invitation to go online and complete a questionnaire about their own health. Mailed paper questionnaires were sent to nonrespondents. Questions were included to test concordance with parent-reported responses, address time-sensitive data needs, assess public health attitudes or behaviors, and contribute to developmental work to understand differences between parent and self-reported measures of health.

The majority of NHIS—Teen survey content focused on the health behaviors, social and emotional wellbeing, and healthcare experiences of teens. Detailed sociodemographic characteristics (e.g. health insurance coverage type, family income) as reported by the parent in the NHIS Sample Child interview can be linked to NHIS—Teen. NHIS—Teen was a pilot survey with data collection concluding in March 2024. There are currently no plans to field additional iterations.

Interactive Biannual Early Release Estimates provide health statistics based on data from the 2019-2021 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates can be grouped by demographic characteristics (such as age, race and Hispanic origin, or sex). Estimates based on 2019-2020 NHIS quarterly data are available in Interactive Quarterly Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.

Interactive Quarterly Early Release Estimates provide health statistics based on data from the 2019-2022 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates presented here are based on quarterly data. Estimates based on half-year data, with groupings by demographic characteristics, are available in the Interactive Biannual Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.

This dataset tracks the updates made on the dataset "Restricted Use NHIS Sample Child Interview" as a repository for previous versions of the data and metadata.

Individual data linkage of population was made internally in the Big Data Steering Department of the National Health Insurance Service. The authors of the study were approved to use customized tables via virtual terminal connected to personal computer after review of study proposal by HIRA for less than 6 months. By law, sharing a raw data or copying the data including photo copy is strictly banned. Therefore, we could not upload raw data in Plos One submission system. I added dataset as supporting information, but raw data could not be included. Any research who had interest in this study can request the use of NHIS-NSC by following the procedures outlined at homepage of HIRA (https://opendata.hira.or.kr/op/opc/selectPatDataAplInfoView.do). There is a cost for the use of virtual terminal. (XLSX)

The purpose of the National Health Interview Survey (NHIS) is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. This supplement includes variables from the NHIS core Person File (see NATIONAL HEALTH INTERVIEW SURVEY, 1994 (ICPSR 6724)), including sex, age, race, marital status, veteran status, education, income, industry and occupation codes, and limits on activity. The 1994 Access to Care questionnaire was administered in the last half of 1994 to address the issue of access to health care services. Variables included in the data file cover estimated number of doctor visits in the past 12 months, estimated short-stay hospital episode days in the past 12 months, usual person/facility for medical care, type of doctor seen, type of facility, availability of referrals, reason for not using the facility currently, satisfaction with the way questions were answered, and satisfaction with overall care received. Also included were items concerning the main reason for no usual source of care, availability of care on evenings or weekends, whether cost was a reason for not seeking care, and the need for dental care, prescription medicines, eyeglasses, and mental health care. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR06874.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

All means, proportions, and standard erros are weighted estimates of the U.S. population characteristics, taking into account NHIS’s complex sampling design. All P values are unadjusted. P values were calculated using Wald test for continuous variables, and design-adjusted Rao-Scott Pearson chi-square test for categorical variables.Demographics for the National Health Interview Survey (NHIS) based on self-reported hypothyroidism.

This dataset tracks the updates made on the dataset "Restricted Use NHIS Sample Adult Interview" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "Restricted Use NHIS Paradata file" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "NHIS—Teen Restricted Use File" as a repository for previous versions of the data and metadata.

NCHS has linked data from various surveys with death certificate records from the National Death Index (NDI). Linkage of the NCHS survey participant data with the NDI mortality data provides the opportunity to conduct a vast array of outcome studies designed to investigate the association of a wide variety of health factors with mortality. The Linked Mortality Files (LMF) have been updated with mortality follow-up data through December 31, 2019. Public-use Linked Mortality Files (LMF) are available for 1986-2018 NHIS, 1999-2018 NHANES, and NHANES III. The files include a limited set of mortality variables for adult participants only. The public-use versions of the NCHS Linked Mortality Files were subjected to data perturbation techniques to reduce the risk of participant re-identification. For select records, synthetic data were substituted for follow-up time or underlying cause of death. Information regarding vital status was not perturbed.

This dataset tracks the updates made on the dataset "Restricted Use NHIS Sample Adult Imputed Income" as a repository for previous versions of the data and metadata.

The purpose of the National Health Interview Survey (NHIS) is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. Implementation of a redesigned NHIS, consisting of a basic module, a periodic module, and a topical module, began in 1997 (see NATIONAL HEALTH INTERVIEW SURVEY, 1997 [ICPSR 2954]). The 2006 NHIS contains the Household, Family, Person, Sample Adult, and Sample Child files from the basic module. Each record in Part 1, Household Level, contains data on type of living quarters, number of families in the household responding and not responding, and the month and year of the interview for each sampling unit. Part 2, Family Level, is made up of reconstructed variables from the person-level data of the basic module and includes information on sex, age, race, marital status, Hispanic origin, education, veteran status, family income, family size, major activities, health status, activity limits, and employment status, along with industry and occupation. As part of the basic module, Part 3, Personl Level, provides information on all family members with respect to health status, limitation of daily activities, cognitive impairment, and health conditions. Also included are data on years at current residence, region variables, height, weight, bed days, doctor visits, hospital stays, and health care access and utilization. A randomly-selected adult in each family was interviewed for Part 4, Sample Adult, regarding respiratory conditions, use of nasal spray, renal conditions, AIDS, joint symptoms, health status, limitation of daily activities, and behaviors such as smoking, alcohol consumption, and physical activity in addition to questions regarding stroke, diabetes, arthritis, and weight control. Part 5, Sample Child, provides information from an adult in the household on medical conditions of one child in the household, such as respiratory problems, seizures, allergies, and use of special equipment like hearing aids, braces, or wheelchairs. Also included are variables regarding child behavior, the use of mental health services, and Attention Deficit Hyperactivity Disorder (ADHD), as well as responses to the SDQ, the Strengths and Difficulties questionnaire on child mental health. The 2006 data contain the Child Mental Health Brief (CMB), Child Mental Health Services (CMS) and Child Influenza Immunization (CFI) sections. Part 6, Injury/Poison Episode, is an episode-based file that contains information about the external cause and nature of the injury or poisoning episode and what the person was doing at the time of the injury or poisoning episode, in addition to the date and place of occurrence. Part 7, Injury/Poison Episode Verbatim, contains edited narrative text descriptions of the injury or poisoning, provided by the respondent. Imputed income files for 2006 are now available through the NCHS Web site . (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR20681.v3. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

This dataset tracks the updates made on the dataset "Restricted Use NHIS Sample Child Imputed Income" as a repository for previous versions of the data and metadata.

BackgroundRecent studies suggest a role for hyperlipidemia in the development of diabetes. The aim of this study is to analyze the relationship between variations of total cholesterol (TC) levels and the risk for type 2 diabetes development from a Korean nationwide population-based database.Materials and methodsWe examined the General Health Check-up sub-dataset of the Korean National Health Insurance Service (NHIS) of 2,827,950 participants who had at least three health check-ups between 2002 and 2007, and were not reported to have diabetes during that time. The variations of TC levels between the examinations were calculated as follows: . The examinees were divided into 10 groups according to TC variation, and the hazard ratio for diabetes development from 2007 to 2013, were analyzed.ResultsDuring the follow-up period, 3.4% of the participants had developed diabetes. The hazard ratio (HR) for diabetes development relative to the overall risk in the whole study population started to be higher than 1.0 from eighth decile of TC variation. The highest decile group showed an increased HR for diabetes development after adjustment for confounding variables (1.139; 95% confidence interval 1.116~1.163). These results were similar regardless of the use of anti-hyperlipidemic medication and baseline TC levels.ConclusionsThe participants with a large variation in TC levels showed an increased risk for diabetes development, independent of the use of anti-hyperlipidemic medications. These results suggest a relationship between fluctuations in lipid levels and the development of type 2 diabetes.

BackgroundIdentifying acute ischemic stroke (AIS) among potential stroke cases is crucial for stroke research based on claims data. However, the accuracy of using the diagnostic codes of the International Classification of Diseases 10th revision was less than expected.MethodsFrom the National Health Insurance Service (NHIS) claims data, stroke cases admitted to the hospitals participating in the multicenter stroke registry (Clinical Research Collaboration for Stroke in Korea, CRCS-K) during the study period with principal or additional diagnosis codes of I60-I64 on the 10th revision of International Classification of Diseases were extracted. The datasets were randomly divided into development and validation sets with a ratio of 7:3. A stroke identification algorithm using the claims data was developed and validated through the linkage between the extracted datasets and the registry database.ResultsAltogether, 40,443 potential cases were extracted from the NHIS claims data, of which 31.7% were certified as AIS through linkage with the CRCS-K database. We selected 17 key identifiers from the claims data and developed 37 conditions through combinations of those key identifiers. The key identifiers comprised brain CT, MRI, use of tissue plasminogen activator, endovascular treatment, carotid endarterectomy or stenting, antithrombotics, anticoagulants, etc. The sensitivity, specificity, and diagnostic accuracy of the algorithm were 81.2%, 82.9%, and 82.4% in the development set, and 80.2%, 82.0%, and 81.4% in the validation set, respectively.ConclusionsOur stroke identification algorithm may be useful to grasp stroke burden in Korea. However, further efforts to refine the algorithm are necessary.