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Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions
Kyungwon Oh1orcid, Yoonjung Kim1orcid, Sanghui Kweon1orcid, Soyeon Kim1orcid, Sungha Yun1orcid, Suyeon Park1orcid, Yeon-Kyeng Lee2orcid, Youngtaek Kim3orcid, Ok Park1orcid, Eun Kyeong Jeong4orcid
Epidemiol Health 2021;43:e2021025.
DOI: https://doi.org/10.4178/epih.e2021025
Published online: April 19, 2021

1Division of Health and Nutrition Survey and Analysis, Bureau of Chronic Disease Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Korea

2Division of Healthcare Association Infection Control, Bureau of Healthcare Safety and Immunization, Korea Disease Control and Prevention Agency, Cheongju, Korea

3Public Health Medical Service Office, Chungnam National University Hospital, Daejeon, Korea

4Korea Disease Control and Prevention Agency, Cheongju, Korea

Correspondence: Eun Kyeong Jeong Korea Disease Control and Prevention Agency, 187 Osongsaengmyeong 2-ro, Heungduk-gu, Cheongju 28159, Korea E-mail: jeongek@korea.kr
• Received: September 23, 2020   • Accepted: November 12, 2020

©2021, Korean Society of Epidemiology

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • The Korea National Health and Nutrition Examination Survey (KNHANES) was initiated in 1998 to provide evidence for the development and evaluation of health policies and programs. The Korea Disease Control and Prevention Agency is responsible for the KNHANES and has conducted it as a series of surveys. Over the past 20 years, efforts to produce accurate, timely, and nationwide health statistics have been refined by establishing a continuous annual survey system with full-time field staff, incrementally expanding survey components, collaborating with relevant academic societies for quality control, and revising the survey methods. Additionally, the utility of the collected data was increased by linking the KNHANES data with related data from other government agencies or institutions and making the overall data publicly available on the official website of KNHANES (https://knhanes.kdca.go.kr). Additional long-term plans are being developed, including plans to continue producing nationwide health indicators and invigorating the utilization of the KNHANES data.
The Korea National Health and Nutrition Examination Survey (KNHANES) is an ongoing surveillance system that was initiated to produce nationwide statistics regarding the health status, health behaviors, and food and nutrient consumption of the Korean population. The first survey was conducted in 1998, based on Article 16 of the National Health Promotion Act. The survey data are utilized as evidence in the development and evaluation of health policies (like the National Health Plan [HP]) and are publicly available to researchers [1-3].
In this article, the 20-year accomplishments of the KNHANES are summarized, and a plan is presented to improve the health statistics to reflect changes in the social and survey environments.
Between 1998 and 2005, the survey was performed in a 3-year and 4-year cycle by the Korea Institute for Health and Social Affairs and the Korea Health Industry Development Institute. In 2005, the Korea Disease Control and Prevention Agency (KDCA, formerly Korea Centers for Disease Control and Prevention) participated in the health examination section of the survey. In 2006, the overall responsibility for the KNHANES was transferred to the KDCA and they have been conducting the survey since 2007 (Table 1 and Figure 1). Since the 1998 survey, data were collected from a cumulative total of 127,545 cases (response rate of 75.8%, based on health examination) (Table 2).
Providing the evidence for health policy
The survey components were expanded in phases to reinforce the provision of information to guide health policies and programs (Table 3) (Supplementary Materials 1 and 2). A system for soliciting new content proposals for survey components was implemented on the KNHANES homepage. Demands for evidence on policy development were also identified through regular council meetings with relevant government agencies and institutions. These suggested proposals were assessed through internal and external reviews by the advisory committee, and components addressing the policy needs were introduced into the survey.

Expansion of the health examination survey

As the importance of evidence-based health and chronic disease policies has increased, the health examination components have been incrementally expanded since 2007 (Supplementary Material 1). In the surveys conducted between 1998 and 2005, the chronic disease statistics were limited to obesity, hypertension, diabetes, dyslipidemia, hepatitis B, pulmonary function (only in 2001), and heavy metals/cotinine (only in 2005) [4-7]. Beginning with the 2007 survey, the health examination components underwent phased expansions in collaboration with academic societies. In 2007, oral examinations were introduced for the first time, and pulmonary function testing was re-introduced. Tests for bone density, body fat, eye disease, and ear-nose-throat (ENT) diseases were introduced in 2008. An osteoarthritis test was introduced in 2009. Hence, the prevalence of oral diseases, chronic obstructive pulmonary disease, osteoporosis, eye diseases (glaucoma, diabetic retinopathy, etc.), ENT diseases (hearing loss, dizziness, etc.), and osteoarthritis [8-11] were estimated. Further, testing for blindness-causing eye diseases was re-introduced in 2017 and ENT diseases test focused on hearing ability, dizziness, and voice disorders was re-introduced in 2019.
Laboratory test components began to expand in 2010. Allergic disease tests was added in 2010, and tests for hepatitis C and thyroid disease were added in 2012 and 2013, respectively [12,13]. In 2014, tuberculin skin tests were performed to estimate the extent of tuberculosis infection. To assess the health risks associated with smoking, tobacco-specific nitrosamine was measured in 2016 (Supplementary Material 2).
Additionally, handgrip strength testing was included in 2014 to assess sarcopenia in the elderly population. Physical activity (PA) monitors were also introduced to objectively assess PA levels [14,15]. Recently, with the increasing need for evidence regarding the health impacts of climate change, levels of indoor air quality pollutants and exposure to hazardous environments were measured in 2020.

Expansion of the health interview survey

The health interview survey was enhanced by including the components needed to produce the HP indicators (Table 3) (Supplementary Material 1).
The EuroQol-5 dimension (EQ-5D) quality of life scale was introduced in 2005 to achieve the overarching goal of HP, that is, a healthy lifespan [16,17]. However, there was a high ceiling effect caused by participants, indicating that they did not have any problems in any of the question domains. Thus, the health-related quality of life instrument with eight items (HINT-8) was developed in 2014 as a quality of life scale reflective of Korean culture and was included in 2019 [18,19]. The alcohol use disorders identification test was introduced in 2005 to assess the prevalence of harmful alcohol use. To assess PA, the international PA questionnaire was introduced in 2005. With the increasing importance of assessing PA levels in different areas (work, leisure, and transportation), as well as assessing overall PA, the Korean version of the global PA questionnaire was included in 2014 [20]. Additionally, to accommodate the demand for sleep health, a sleep apnea screening tool was introduced in 2019 [21].
Following the 2015 changes in smoking cessation policy, the need to identify changes in smoking and smoking cessation behaviors arose. Accordingly, a panel consisting of smokers among KNHANES participants was created and annual follow-ups were performed from 2015 to 2020.

Expansion of the nutrition survey

The nutrition survey section was enhanced to facilitate research on nutritional factors associated with chronic diseases (Table 3) (Supplementary Material 1).
The food frequency questionnaire (FFQ) was transitioned to a semi-quantitative FFQ to collect long-term food and nutrient intake information, and a food security questionnaire was developed to enable in-depth analysis of nutritional equity. That is, to overcome the previous food-based FFQ (63 items) that was limited in its ability to assess the usual intake of food and nutrients, a dishbased, semi-quantitative FFQ (112 items) was introduced in 2012 [22,23]. To better assess the food security level, an 18-item scale was developed, based on the United States household food security survey module, and introduced in 2012 [24].
To facilitate research on the nutritional risk factors, nutritional biomarkers including vitamin D (2007) and vitamins A and E, and folic acid (2016) were added. In addition, a nutrient database that provides the nutrient values for dietary data reported in the KNHANES was developed, and intake of fatty acids (2015), cholesterol, fiber (2016), and sugar (2019) were newly produced [25- 27]. With the goal of expanding the database by adding one nutrient per year, plans were made to augment the database regarding folic acid (2020), vitamins D and E (2021), and others. Additionally, because more people are consuming dietary supplements, data have been collected regarding the details of dietary supplements since 2010.
Improving the survey system

Establishment of the continuous annual survey system

The KDCA modified the survey system to produce annual health information to ensure the timeliness of the health statistics (Table 1). The 1st (1998) and 2nd (2001) phases of the KNHANES were conducted over a short period in a 3-year cycle. The 3rd phase was conducted in 2005, a year later than the original plan, as the survey contents were revised to produce the indicators required for the interim evaluation of the HP2010 goals. The 2001 survey results were the most recent data available prior to mid-2006, when the 2005 survey results were reported. To improve the timeliness of the statistics, beginning with the 2007 survey (the 4th phase), the survey system was changed to make it a continuous annual survey, enabling the production of annual statistics. A 3-year rolling sampling cycle was introduced to ensure timeliness by producing annual nationwide statistics. Simultaneously, this approach also enabled the production of indicators for which statistical power was limited by the small annual sample size; the new approach permitted the combination of 2-3 years of data. In the 2005 survey and those preceding it, the number of participants in the different sections of the KNHANES varied. This was improved by having every participant participate in all three sections of the survey, beginning in 2007. Accordingly, the sample size for the health examination section increased approximately 3-fold, leading to stability in the chronic disease statistics.
Next, the KDCA changed the survey period from a short-term to a continuous, annual (48 weeks) format to increase accuracy (including reducing any seasonal bias) in the statistics. During the period when short-term surveys were conducted, the field staff were also hired for similarly short terms. With the change to the continuous annual survey, teams of full-time field staff were assembled, and the data were collected by a total of 44 trained fulltime field staff.

Development of internal and external quality control

Public-private partnerships were formed with relevant academic societies to maintain expertise in quality assurance and control. Approximately 30 expert advisory committees composed of over 180 experts participated in quality assurance and control. Specifically, full-time field staff training, guideline development, and field quality control tasks were performed in collaboration with relevant academic societies. Collaboration with academic societies was formalized through memoranda of understanding and research contracts in quality control. The quality control details are publicly available on the KNHANES homepage (https://knhanes.kdca.go.kr). Advisory committee members are also responsible for reviewing survey components, methods, and results.

Improvement of the data collection method

Specially designed and equipped mobile examination centers (MEC) were introduced in 2008 when survey components requiring equipment were included, as described in the section “expansion of the health examination survey.” The use of MEC improved data quality because the data were collected using standardized equipment and environments. In addition, in 2013 and 2014, health interviews and nutrition surveys were changed from paper-based personal interviews to computer-assisted personal interviewing (CAPI), which increased the data accuracy by introducing process standardization and decreasing the response burden on the participants.
Facilitating data utilization

Availability of KNHANES data

In December of the year following survey completion, a report (“Health Statistics”) was published, and raw data became publicly available through the KNHANES homepage. Additionally, the KDCA research data center is operated to support research conducted using variables that are not publicly available, such as survey dates and geographic areas (Table 4). Furthermore, beginning in 2011, annual data user workshops were held to support researchers using KNHANES data by providing training on data utilization. Consequently, 27,903 researchers have downloaded the KNHANES data and more than 3,800 articles have been published.

Establishment of the criteria and reference values

As the KNHANES data are representative of the Korean population, they are used to establish reference values and criteria. Using the data, reference ranges for bone density, body fat mass, and muscle strength, as well as normal predicted values for lung diffusion capacity have been developed for each sex and age at the national level [1,10,28]. Newly produced statistics regarding the intake of various nutrients, distribution of anthropometric data, and obesity prevalence in the pediatric population have been utilized in the development of ‘the Dietary Reference Intakes for Koreans’ and ‘the Korean National Growth Charts’, respectively [29,30].

Data linkage activity

A weakness of cross-sectional surveys is a challenge associated with identifying the risk factors of chronic disease and their temporal relationship with the disease. Since 2007, the participant’s informed consent has allowed data to be linked with data available at other government agencies or institutions. Presently, KNHANES data are linked with Statistics Korea (cause of death statistics) and the Korea National Cancer Center (cancer registry data). Of the 81,503 individuals who participated in the 2007-2016 surveys, 75,016 individuals were linked to the cause of death statistics and 74,977 individuals to the cancer registry data. The data linked to the cause of death statistics became publicly available in 2020, and the database is expected to be augmented with newly linked data every year (Table 4).
A linked database was also constructed with the air quality data provided by the Ministry of Environment. A validation study is currently underway on the linked data, and the linked database will be released. To activate research on health-related social and physical environments, data linkages will be expanded with health information (including geographic information and social attributes) of other government agencies or institutions.

Collection and sharing of human bioresources

Informed consent obtained from participants has also allowed the collection of bioresources to build biobanks (Table 5).
Based on the biospecimens collected to date, the rates of severe fever with thrombocytopenia syndrome, hepatitis A, hepatitis E, and genetic variants of alcohol-metabolizing enzymes have been reported. Presently, biochemical markers including homocysteine, and apolipoproteins have been measured using biospecimens between 2013 and 2015 KNHANES. After reviewing the specimen stability and quality control, the results will be released to the public. These biospecimens are also provided to researchers requesting human bioresources through services for the access and sharing desk of the National Biobank of Korea (http://nih.go.kr/biobank).

Participation in collaborative research

The KDCA joined the NCD Risk Factor Collaboration in 2015, and the Global Dietary Database Consortium in 2019 [31-37]. Every year, the KDCA shares the KNHANES raw data, food recipes, and other data with these collaborators, and is involved in studies on the trends and risk factors associated with non-communicable disease, using the shared data.
Amendments to the National Health Promotion Act
The decrees and rules of the National Health Promotion Act related to the KNHANES have been amended. The amendments included those that permitted the current annual survey system, added dentists as field staff members, and allowed laboratory technicians and radiology technicians to work as field staff. Currently, work is underway to amend the name of survey from ‘the Korea National Nutrition Survey’ to ‘the Korea National Health and Nutrition Examination Survey’ in Article 16 of the National Health Promotion Act.
Multifaceted plans for the long-term development of the survey are being prepared to revise the survey system to fit the changing survey environment. The changes also aim to explore emerging public health issues, and to produce the health statistics needed to develop health policies in a timely manner (Figure 2) [38,39].
Improving the survey system
The continuous annual survey system will be carefully revised after reviewing the comparability with the existing statistics and the feasibility. Reductions in sampling bias are expected by additional methods (such as home visits) to facilitate the participation of people with limited mobility due to chronic diseases or accidents. In the National Health and Nutrition Examination Survey [40] and the Health Survey for England [41], vulnerable groups are oversampled to predict health problems in these groups. If there is a need to address health issues in specific groups in Korea, oversampling or additional surveys linked to the main KNHANES will be explored over time.
A study on the need for follow-up surveys to overcome weaknesses in the current, cross-sectional survey and to identify the incidence rates and natural history of chronic disease suggested that it is necessary to establish a new independent survey system. Hence, for the time being, efforts are being made to expand the data sources linked with the KNHANES data, as described previously [42]. Additionally, because “smoker’s panel” was considered to be a cost-effective way to examine changes in smoking behavior and factors associated with the behavioral changes, additional KNHANES panels are planned, as necessary.
Expanding the survey components
Currently, new survey components are developed by soliciting new content proposals via the KNHANES homepage and regular council meetings with relevant government agencies and institutions. However, to include more wide-ranging components, the demand for new components should be identified using more diverse methods. More active participation in the process is planned through regular notices by official letters on proposals to relevant academic societies and private sectors. Moreover, there are plans to expand council meetings to additional relevant institutions where the KNHANES data are utilized to monitor the targets for the objectives of HP and submit health indicators to WHO and Organization for Economic Cooperation and Development.

Survey cycle

Survey components are categorized as core (surveyed annually), rotating (surveyed once per cycle), and emerging topics (surveyed once due to a policy change or public health demand). However, the criteria for categorizing the components and determining the survey cycles remain unclear. A plan exists to establish a survey cycle for each component to avoid unnecessary repetition of certain components and to facilitate the inclusion of new components. First, components included in other surveys and those that can be analyzed by links to other available institutional data will be removed. Next, the survey cycle criteria will be determined for each component, and the existing components will be reclassified using these criteria. Further, as new components are added to the survey, their appropriate survey cycles will also be determined.

In-depth survey

Both the National Health Interview Survey [43] and the Health Survey for England [41] include in-depth surveys that are periodically chosen for their relevance to health-related issues. In our survey, examinations of eye and ENT diseases were performed through in-depth surveys. Currently, survey components on health equity, mental health, and health indicators of the elderly are being developed for future in-depth surveys. In addition, priority will be given to reviewing new indicators to evaluate the objectives added for the fifth Health Plan (HP2030) and areas to be added to the current survey (like social support systems, health-related environment factors, and factors related to pre-stage of chronic diseases). The criteria for introducing in-depth components or their survey cycles will be established, and the components, based on priority, will be added.
Improving survey methods

Utilization of web-based, wearable devices

Questionnaires on socioeconomic status, medical condition, health care utilization in the health interview survey, and nutrition survey were administered using CAPI. Questionnaires on health behaviors were administered using computer-assisted self-interviewing (CASI) methodology. Survey methods other than CAPI and CASI should be explored considering the time burden on participants and the limited space within the MEC. In the case of young and middle-aged participants, it is also necessary to complete the questionnaires using computers or smartphones before visiting MEC. Presently, studies are being conducted to compare the response rates and results of major health indicators with those of the current system.
PA monitors were used between 2014 and 2017 to objectively assess PA levels over 7-day periods. In the future, wearable devices will be used to assess sleep hours and blood pressure as well as PA levels.

Nutrition surveys using mobile examination centers

The nutrition survey was performed through home visits to the households of participants in the health examination and health interview surveys. Recently, the need to revise the nutrition survey method has arisen due to increasing home visit refusals and privacy protection, and participant’s burden required to complete a separate nutrition survey. At present, the development of a MEC-based survey system for nutrition surveys is being researched. The nutrition survey method will be modified in consideration of results such as the response rate and comparability with the existing data.
Increasing the use of data
The incremental expansion of the databases that link KNHANES data with data available from other government agencies or institutions, as well as the construction of biobanks and sharing of biospecimens, will continue, as described in the Accomplishments section.

Data accessibility

The changes in survey components and the reasons for the changes are described, to the extent possible, in a report (“Health Statistics”). However, the changes may not be clearly described due to the vast volume and frequency of the changes made to survey areas and components. Accordingly, plans are being made to construct a survey component management database, integrated survey data storage, and a data visualization. This will provide researchers to simplify data search and visualization.
Data user workshop has remained unchanged since 2011, except for 2016 when an additional workshop was organized to describe the dietary data analysis. Future workshops will be designed to cover diverse content according to the analysis level and survey areas. Currently, if researchers want to utilize non-public KNHANES data or data linked to other government agencies, they are required to conduct their analysis at the research data center. To enhance data accessibility, a remote analysis system is planned, that will enable researchers to analyze data remotely.

In-depth analysis

Presently, the KNHANES results are provided as a report (“Health Statistics”) where the current status and trends are presented by sex, age, and income level, limiting the use of the data for all but expert users. To address this problem, 20-year trends in health behaviors and chronic diseases were visualized in fact sheets in 2020, making the data easy to understand for the public. To further increase the utilization of various aspects of the data, multi-angle, in-depth data analysis is necessary. Collaboration with relevant academic societies is planned that will allow them to develop relevant indicators and conduct analyses that reflect user needs.
Over the past 20 years, the KNHANES has achieved the timely production of nationwide statistics by establishing a continuous annual survey system, vigorous production of health indicators by expanding survey components, enhancement of statistical accuracy by improving survey methods, and improvement of data utilization by making raw data and linked databases publicly available. In the future, we plan to develop long-term plans that incorporate the advances discussed in this article to allow the continued production of health indicators and further support utilization of the data.
Ethics statement
This study was approved by the Institutional Review Board of the KDCA (2007-2014, 2018). For certain year (2015-2017), ethical approval was waived by the Act (Article 2, Paragraph 1) and Enforcement Regulation (Article 2, Paragraph 2, item 1) of Bioethics and Safety Act.
Supplementary materials are available at http://www.e-epih.org/.
Supplementary Material 1.
Examination components of the Korea National Health and Nutrition Examination Survey
epih-43-e2021025-suppl1.docx
Supplementary Material 2.
Laboratory components of the Korea National Health and Nutrition Examination Survey
epih-43-e2021025-suppl1.docx
Korean version is available at http://www.e-epih.org/.

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare for this study.

FUNDING

None.

AUTHOR CONTRIBUTIONS

Conceptualization: KO, EKJ. Data curation: YK, SK, SK, SY. Formal analysis: SP. Funding acquisition: None. Project administration: YKL, YK, OP. Writing-original draft: KO, YK, SK, SK, SY, SP, YK. Writing-review & editing: KO, YKL, OP, EKJ.

We are grateful to the people who participated in the KNHANES over the past 20 years. We also thank the field staff for their data collection efforts and the associated academic societies and experts for providing support and advice.
Figure 1.
Operation of the Korea National Health and Nutrition Examination Survey.
epih-43-e2021025f1.jpg
Figure 2.
Survey components of the Korea National Health and Nutrition Examination Survey. 1 Rotating items may be changed by plan revision.
epih-43-e2021025f2.jpg
Table 1.
Reorganization of the Korea National Health and Nutrition Examination Survey
Survey system Year Contents
Effects
Before After
Survey cycle 2007 Conducted periodically (3-yr cycle) for 2-3 mo Conducted continuous annual survey Improve timeliness, reduce seasonal variation
Sample size 2007 10,000 Individuals/3-yr (based on health examination) 10,000 Individuals/1-yr (based on health examination) Improve statistical power
Field site 2008 Available public place (depending on primary sampling unit) Mobile examination center Standardize survey environments and equipment
Field staff 2007 Short-term hired researcher Full-time staff Improve data quality
Survey operation 2007 Conducted by a private institution Conducted by KDCA Stabilize survey system, improve data quality

KDCA, Korea Disease Control and Prevention Agency.

Table 2.
Data collection for the Korea National Health and Nutrition Examination Survey (KNHANES)
Survey Participants, n
Response rate, %
Health interview Health examination Nutrition survey Health interview Health examination Nutrition survey
KNHANES I (1998) 39,060 9,771 11,267 - 89.8 -
KNHANES II (2001) 37,769 9,770 10,051 - 77.3 81.0
KNHANES III (2005) 34,145 7,597 9,047 - 70.2 80.5
KNHANES IV (2007-2009) 23,632 22,137 74.5 81.8
KNHANES V (2010-2012) 24,173 22,949 76.5 82.3
KNHANES VI (2013-2015) 21,724 20,686 74.1 81.7
KNHANES VII (2016-2018) 23,162 21,287 73.1 80.8
KNHANES VIII (2019) 7,716 7,151 71.0 79.3
Table 3.
Extension of survey components in the Korea National Health and Nutrition Examination Survey
Year of introduction Components Indicators
Health examination survey
 2001 Pulmonary function test Chronic obstructive pulmonary disease prevalence
 2005 Mercury, lead, cadmium, cotinine Environmental exposure
 2007 Dental examination Dental caries, periodontal disease prevalence
Insulin Diabetes-related indicator
Vitamin D Vitamin D deficiency
Arsenic, manganese Environmental exposure
 2008 Bone density, body composition Bone density/body fat distributions, osteoporosis prevalence
PTH, ALP Osteoporosis-related indicators
Ophthalmology examination Glaucoma, cataracts, macular degeneration, diabetic retinopathy prevalence
Otolaryngologic disease examination Hearing loss, dizziness, voice disorder prevalence (2019)
 2009 Arthritis body measures Osteoarthritis prevalence
 2010 Immunoglobulin E-allergens Allergic disease prevalence
Iron, ferritin (2007), TIBC Iron-deficiency anemia prevalence
 2011 Microalbumin Chronic kidney disease prevalence
 2012 Hepatitis C, hepatitis A (2015) Hepatitis prevalence
 2013 TSH, free T4, TPOAb, Iodine Thyroid disease prevalence
 2014 Grip strength Muscle strength, sarcopenia prevalence
TST Tuberculosis infection rate
Physical activity monitor Physical activity
 2016 NNAL Harmful effects of smoking
Uric acid Gout prevalence
 2020 PM2.5, formaldehyde, TVOCs, CO2 Indoor air quality
Health interview survey
 2005 EQ-5D, EQ-VAS Quality of life
AUDIT Alcohol use disorder
IPAQ Physical activity
 2014 GPAQ Physical activity
PHQ-9 Depression symptom
 2015 Smokers’ panel Monitoring of smoking cessation policy
 2019 HINT-8 Quality of life
STOP-Bang Sleep apnea
Nutrition survey
 2010 Dietary supplements Nutrient intake by dietary supplements
 2012 Semiquantitative food frequency questionnaire Dietary risk factors for chronic disease
Household food security survey module Food insecurity
 2015 Nutrient database Fatty acids (2015), cholesterol (2016), dietary fiber (2016), sugar (2019), folic acid (2020) intakes
 2016 Vitamin A, E, folic acid (serum) Nutritional biomarker distribution

PTH, parathyroid hormone; ALP, alkaline phosphatase; TIBC, total iron-binding capacity; TSH, thyroid-stimulating hormone; free T4, free thyroxine; TPOAb, thyroid peroxidase antibody; TST, tuberculin skin test; NNAL, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol; PM, particulate matter; TVOCs, total volatile organic compounds; CO2, carbon dioxide; EQ-5D, EuroQol-5 dimension; EQ-VAS, EuroQol visual analogue scale; AUDIT, alcohol use disorders identification test; IPAQ, International Physical Activity Questionnaire; GPAQ, Global Physical Activity Questionnaire; PHQ-9, Patient Health Questionnaire-9; HINT-8, health-related quality of life instrument with 8 items; STOP-Bang, snoring, tired, observed, blood pressure, body mass index, age, neck circumference, gender.

Table 4.
Data release and linkage of Korea National Health and Nutrition Examination Survey (KNHANES)
Released or linked data Year n Description
Public use data release
KNHANES 1998-2018 208,705 1998-2018 KNHANES microdata
Data linkage
Linked causes of death statistics 2007-2016 75,016 Date, cause of death
Linked cancer registration statistics 2007-2016 74,977 Year (registered in cancer registration program), age (diagnosed with cancer), cancer sites and others
Linked air quality data 2007-2017 85,108 PM2.5, PM10, sulfur dioxide, nitrogen dioxide, ozone, carbon monoxide, temperature, humidity and others

PM, particulate matter.

Table 5.
Biospecimens of Korea National Health and Nutrition Examination Survey (KNHANES)
Survey Biospecimen, n
Serum Plasma DNA
KNHANES IV (2007-2009) 18,825 14,982 14,289
KNHANES V (2010-2012) 19,687 12,354 13,071
KNHANES VI (2013-2015) 9,365 8,949 8,789
KNHANES VII (2016-2018) 9,430 9,578 9,467
KNHANES VIII (2019) 4,400 4,403 4,389
  • 1. Korea Centers for Disease Control and Prevention. Korea health statistics 2018: Korea National Health and Nutrition Examination Survey (KNHANES VII-3). Cheongju: Korea Centers for Disease Control and Prevention; 2015. p 3-28 (Korean).
  • 2. Kweon S, Kim Y, Jang MJ, Kim Y, Kim K, Choi S, et al. Data resource profile: the Korea National Health and Nutrition Examination Survey (KNHANES). Int J Epidemiol 2014;43:69-77.ArticlePubMedPMC
  • 3. Ministry of Health and Welfare. The fourth National Health Plan, 2016-2020. Sejong: Ministry of Health and Welfare; 2015. p 33-41 (Korean).
  • 4. Kim HJ, Kim Y, Cho Y, Jun B, Oh KW. Trends in the prevalence of major cardiovascular disease risk factors among Korean adults: results from the Korea National Health and Nutrition Examination Survey, 1998-2012. Int J Cardiol 2014;174:64-72.ArticlePubMed
  • 5. Jeon JY, Ko SH, Kwon HS, Kim NH, Kim JH, Kim CS, et al. Prevalence of diabetes and prediabetes according to fasting plasma glucose and HbA1c. Diabetes Metab J 2013;37:349-357.ArticlePubMedPMC
  • 6. Hwang YI, Yoo KH, Sheen SS, Park JH, Kim SH, Yoon HI, et al. Prevalence of chronic obstructive pulmonary disease in Korea: the result of forth Korean National Health and Nutrition Examination Survey. Tuberc Respir Dis 2011;71:328-334.Article
  • 7. Yoo KH, Kim YS, Sheen SS, Park JH, Hwang YI, Kim SH, et al. Prevalence of chronic obstructive pulmonary disease in Korea: the fourth Korean National Health and Nutrition Examination Survey, 2008. Respirology 2011;16:659-665.ArticlePubMed
  • 8. Yoon KC, Mun GH, Kim SD, Kim SH, Kim CY, Park KH, et al. Prevalence of eye diseases in South Korea: data from the Korea National Health and Nutrition Examination Survey 2008-2009. Korean J Ophthalmol 2011;25:421-433.ArticlePubMedPMC
  • 9. Park KH, Lee SH, Koo JW, Park HY, Lee KY, Choi YS, et al. Prevalence and associated factors of tinnitus: data from the Korean National Health and Nutrition Examination Survey 2009-2011. J Epidemiol 2014;24:417-426.ArticlePubMedPMC
  • 10. Hong S, Oh HJ, Choi H, Kim JG, Lim SK, Kim EK, et al. Characteristics of body fat, body fat percentage and other body composition for Koreans from KNHANES IV. J Korean Med Sci 2011;26:1599-1605.ArticlePubMedPMC
  • 11. Park EJ, Joo IW, Jang MJ, Kim YT, Oh K, Oh HJ. Prevalence of osteoporosis in the Korean population based on Korea National Health and Nutrition Examination Survey (KNHANES), 2008-2011. Yonsei Med J 2014;55:1049-1057.ArticlePubMedPMC
  • 12. Lee H, Lee H, Cho Y, Oh K, Ki M. Changes in seroprevalence of hepatitis B surface antigen and epidemiologic characteristics in the Republic of Korea, 1998-2013. Epidemiol Health 2015;37:e2015055.PubMedPMC
  • 13. Kim WG, Kim WB, Woo G, Kim H, Cho Y, Kim TY, et al. Thyroid stimulating hormone reference range and prevalence of thyroid dysfunction in the Korean population: Korea National Health and Nutrition Examination Survey 2013 to 2015. Endocrinol Metab (Seoul) 2017;32:106-114.ArticlePubMedPMC
  • 14. Lee H, Lee M, Choi JY, Oh K, Kim Y, Kim S. KNHANES actigraph raw data processing. Korean J Meas Eval Phys Educ Sport Sci 2018;20:83-94 (Korean).Article
  • 15. Lee M, Lee H, Choi JY, Oh K, Kim Y, Kim S. Reliability evidences of accelerometer data to estimate physical activity participations: Korea National Health and Nutrition Examination Survey (KNHANES) in 2014. Korean J Meas Eval Phys Educ Sport Sci 2018;20:1-12 (Korean).
  • 16. Lee YK, Nam HS, Chuang LH, Kim KY, Yang HK, Kwon IS, et al. South Korean time trade-off values for EQ-5D health states: modeling with observed values for 101 health states. Value Health 2009;12:1187-93.ArticlePubMed
  • 17. Korea Centers for Disease Control and Prevention. Validity and reliability evaluation for EQ-5D in Korea. Cheongju: Korea Centers for Disease Control and Prevention; 2011. p 37-65 (Korean).
  • 18. Korea Centers for Disease Control and Prevention. Development of measurement tool for health-related quality of life in the Korea National Health and Nutrition Examination Survey. Cheongju: Korea Centers for Disease Control and Prevention; 2014. p 38-97 (Korean).
  • 19. Korea Centers for Disease Control and Prevention. Valuation of Korean health-related quality of life instrument with 8 items (HINT-8). Cheongju: Korea Centers for Disease Control and Prevention; 2017. p 59-92 (Korean).
  • 20. Korea Centers for Disease Control and Prevention. Development of the Korean version of global physical activity questionnaire and assessment of reliability and validity. Cheongju: Korea Centers for Disease Control and Prevention; 2013. p 32-49 (Korean).
  • 21. Korea Centers for Disease Control and Prevention. The usefulness of three screening questionnaires for obstructive sleep apnea in the Korea National Health and Nutrition Examination Survey. Cheongju: Korea Centers for Disease Control and Prevention; 2016. p 18-29 (Korean).
  • 22. Yun SH, Shim JS, Kweon S, Oh K. Development of a food frequency questionnaire for the Korea National Health and Nutrition Examination Survey: data from the fourth Korea National Health and Nutrition Examination Survey (KNHANES IV). Korean J Nutr 2013;46:186-196 (Korean).Article
  • 23. Kim DW, Song S, Lee JE, Oh K, Shim J, Kweon S, et al. Reproducibility and validity of an FFQ developed for the Korea National Health and Nutrition Examination Survey (KNHANES). Public Health Nutr 2015;18:1369-1377.ArticlePubMed
  • 24. Kim HJ, Oh K. Household food insecurity and dietary intake in Korea: results from the 2012 Korea National Health and Nutrition Examination Survey. Public Health Nutr 2015;18:3317-3325.ArticlePubMedPMC
  • 25. Baek Y, Hwang JY, Kim K, Moon HK, Kweon S, Yang J, et al. Dietary intake of fats and fatty acids in the Korean population: Korea National Health and Nutrition Examination Survey, 2013. Nutr Res Pract 2015;9:650-657.ArticlePubMedPMC
  • 26. Park M, Kweon S, Oh K. Dietary cholesterol intake in the Korea National Health and Nutrition Examination Survey (KNHANES) VI (2013-2015). Korean J Community Nutr 2017;22:520-528 (Korean).Article
  • 27. Yeon S, Oh K, Kweon S, Hyun T. Development of a dietary fiber composition table and intakes of dietary fiber in Korea National Health and Nutrition Examination Survey (KNHANES). Korean J Community Nutr 2016;21:293-300 (Korean).Article
  • 28. Kim K, Yun SH, Jang MJ, Oh KW. Body fat percentile curves for Korean children and adolescents: a data from the Korea National Health and Nutrition Examination Survey 2009-2010. J Korean Med Sci 2013;28:443-449.ArticlePubMedPMC
  • 29. Ministry of Health and Welfare. Dietary reference intakes for Koreans 2015. Sejong: Ministry of Health and Welfare; 2015. p 2-19 (Korean).
  • 30. Kim JH, Yun S, Hwang SS, Shim JO, Chae HW, Lee YJ, et al. The 2017 Korean National Growth Charts for children and adolescents: development, improvement, and prospects. Korean J Pediatr 2018;61:135-149.ArticlePubMedPMC
  • 31. Hajifathalian K, Ueda P, Lu Y, Woodward M, Ahmadvand A, Aguilar-Salinas CA, et al. A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys. Lancet Diabetes Endocrinol 2015;3:339-355.ArticlePubMedPMC
  • 32. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128· 9 million children, adolescents, and adults. Lancet 2017;390:2627-2642.PubMedPMC
  • 33. Ueda P, Woodward M, Lu Y, Hajifathalian K, Al-Wotayan R, Aguilar-Salinas CA, et al. Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys. Lancet Diabetes Endocrinol 2017;5:196-213.ArticlePubMedPMC
  • 34. NCD Risk Factor Collaboration (NCD-RisC). Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol 2018;47:872-883i.PubMedPMC
  • 35. NCD Risk Factor Collaboration (NCD-RisC). Long-term and recent trends in hypertension awareness, treatment, and control in 12 high-income countries: an analysis of 123 nationally representative surveys. Lancet 2019;394:639-651.ArticlePubMedPMC
  • 36. NCD Risk Factor Collaboration (NCD-RisC). National trends in total cholesterol obscure heterogeneous changes in HDL and non-HDL cholesterol and total-to-HDL cholesterol ratio: a pooled analysis of 458 population-based studies in Asian and Western countries. Int J Epidemiol 2020;49:173-192.PubMed
  • 37. NCD Risk Factor Collaboration (NCD-RisC). Rising rural bodymass index is the main driver of the global obesity epidemic in adults. Nature 2019;569:260-264.ArticlePubMedPMCPDF
  • 38. Korea Centers for Disease Control and Prevention. A study for developing the national health survey system in Korea. Seoul: Korea Centers for Disease Control and Prevention; 2006. p 133-277 (Korean).
  • 39. Korea Centers for Disease Control and Prevention. A study for improving the Korea National Health and Nutrition Examination Survey. Cheongju: Korea Centers for Disease Control and Prevention; 2018. p 56-78 (Korean).
  • 40. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey; 2020 [cited 2020 Sep 21]. Available from https://wwwn.cdc.gov/nchs/nhanes/analyticguidelines.aspx#sample-design.
  • 41. NHS Digital. Health Survey for England; 2020 [cited 2020 Sep 21]. Available from https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england.
  • 42. Korea Centers for Disease Control and Prevention. Design and feasibility of the longitudinal study on the Korea National Health and Nutrition Examination Survey. Seoul: Korea Centers for Disease Control and Prevention; 2008. p 58-72 (Korean).
  • 43. Centers for Disease Control and Prevention. National Health Interview Survey; 2020 [cited 2020 Sep 21]. Available from https://www.cdc.gov/nchs/nhis/data-questionnaires-documentation.htm.Article

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      Hyunkyung Cha, DoHyeon Kim, Hyeon Woo Lee, Yeongrok Lee, Byoung-Joon Baek, Jae Yong Lee, Ji Ho Choi
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      Anna Han, Yean Jung Choi
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      Thomas Kocher, Peter Meisel, Sebastian Baumeister, Birte Holtfreter
      Periodontology 2000.2024;[Epub]     CrossRef
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      S.-U. Baek, Y.-M. Lee, J.-U. Won, J.-H. Yoon
      Public Health.2024; 237: 30.     CrossRef
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      Advances in Rheumatology.2024;[Epub]     CrossRef
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      Seo Young Mun, Byung-Chan Choi, Jung Soo Lee, Yeo Hyung Kim
      Journal of Clinical Medicine.2024; 13(19): 5900.     CrossRef
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      Zayana Ali, Mohammad Ahmed Al-Ghouti, Haissam Abou-Saleh, Md Mizanur Rahman
      Marine Drugs.2024; 22(10): 446.     CrossRef
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      Ha-Rin Moon, Jung-Mi Yun
      Preventive Nutrition and Food Science.2024; 29(3): 288.     CrossRef
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      Hack-Lyoung Kim, Soonil Kwon, Hyun Sung Joh, Woo-Hyun Lim, Jae-Bin Seo, Sang-Hyun Kim, Joo-Hee Zo, Myung-A Kim
      Clinical Hypertension.2024;[Epub]     CrossRef
    • Relationship between Household Air Quality and Hearing Loss in Korean Adults: Analysis of Data from The Korea National Health and Nutrition Examination Survey 2020∼2021
      Sang Shin PYO
      Korean Journal of Clinical Laboratory Science.2024; 56(3): 248.     CrossRef
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      Seong-Uk Baek, Jong-Uk Won, Yu-Min Lee, Jin-Ha Yoon
      Atmospheric Environment.2024; 339: 120856.     CrossRef
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      Seoyoung Park, Yejun Son, Hyeri Lee, Hayeon Lee, Jinseok Lee, Jiseung Kang, Lee Smith, Masoud Rahmati, Elena Dragioti, Mark A Tully, Guillaume Fond, Laurent Boyer, Jun Hyuk Lee, Damiano Pizzol, Jaeyu Park, Selin Woo, Dong Keon Yon
      JMIR Public Health and Surveillance.2024; 10: e57359.     CrossRef
    • Hazardous alcohol use is associated with food insecurity in adults living alone: Findings from a nationwide study in Korea
      Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon, Jong-Uk Won
      Social Science & Medicine.2024; 362: 117468.     CrossRef
    • Association Between Frequency of Away-From-Home Meals and Prevalence of Inflammatory Sinonasal Diseases: A Population-Based Cross-Sectional Study
      Munsoo Han, Yujin Jeong, Sooun Kwak, Jaemin Shin, Taehoon Kim
      Diseases.2024; 12(11): 286.     CrossRef
    • Association of food insecurity with the use of tobacco products and urine cotinine-measured smoking intensity: evidence from a population-based study in South Korea, 2019–2021
      Seong-Uk Baek, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon
      Tobacco Control.2024; : tc-2024-058754.     CrossRef
    • Association between the duration of oral contraceptive use and the prevalence of type 2 diabetes mellitus: Korea National Health and Nutrition Examination Survey (KNHANES) 2007–2021
      Mikyung Ryu
      Korean Journal of Health Education and Promotion.2024; 41(3): 73.     CrossRef
    • Association between weight perception and perceived stress among Korean adults from the Korea National Health and Nutrition Examination Survey
      Dong-uk Cha, Chang-Hwan Baek, Dongchan Lee, Hyun Soo Kim, Minkook Son
      Scientific Reports.2024;[Epub]     CrossRef
    • Association between depressive symptoms and participation in influenza vaccination and health checkups: Findings from the Korea National Health and Nutrition Examination Survey
      Seong-Uk Baek, Jin-Ha Yoon
      General Hospital Psychiatry.2024; 91: 180.     CrossRef
    • High-Sensitivity C-Reactive Protein Levels in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), Metabolic Alcohol-Associated Liver Disease (MetALD), and Alcoholic Liver Disease (ALD) with Metabolic Dysfunction
      Seong-Uk Baek, Jin-Ha Yoon
      Biomolecules.2024; 14(11): 1468.     CrossRef
    • Association between Obstructive Sleep Apnea and Chronic Kidney Disease According to Sex, Long Working Hours: The Korean National Health and Nutrition Examination Survey (2019–2020)
      Sung-Min Jung, Mee-Ri Lee
      Life.2023; 13(8): 1625.     CrossRef
    • Impact of the COVID-19 Pandemic on Gender Differences in Depression Based on National Representative Data
      Hyunsuk Jeong, Hyeon Woo Yim, Seung-Yup Lee, Da Young Jung
      Journal of Korean Medical Science.2023;[Epub]     CrossRef
    • Identifying the Group Vulnerable to Unmet Medical Needs Due to Food Security: According to Children in the Household
      Min-Soo Kim, Hyeon-Ji Lee, Jae-Hyun Kim
      Healthcare.2023; 11(3): 423.     CrossRef
    • Food Insecurity Is Associated with Dietary Consumption during the COVID-19 Pandemic: Data from the Korea National Health and Nutrition Examination Survey 2019–2020
      Jeong-Hwa Choi
      Nutrients.2023; 15(3): 772.     CrossRef
    • Metabolically unhealthy phenotype in adults with normal weight: Is cardiometabolic health worse off when compared to adults with obesity?
      Myong-Won Seo, Joon Young Kim
      Obesity Research & Clinical Practice.2023; 17(2): 116.     CrossRef
    • Sleep duration, weekend catch-up sleep, and risk of obstructive sleep apnea in relation to handgrip strength
      Kayoung Lee
      Archives of Gerontology and Geriatrics.2023; 110: 104987.     CrossRef
    • Prevalence and trends in obesity and severe obesity in Korean children and adolescents, 2007–2020: A population‐based study
      Hong Kyu Park, Ji‐Young Seo, Hae Woon Jung, Jung Sub Lim
      Pediatrics International.2023;[Epub]     CrossRef
    • Evaluation of weekend catch-up sleep and weekday sleep duration in relation to metabolic syndrome in Korean adults
      Kayoung Lee
      Sleep and Breathing.2023; 27(6): 2199.     CrossRef
    • Self-Reported Reasons for Activity Limitations According to Age and Sex in Community-Dwelling Stroke Survivors
      Young-Ah Choi, Yeo Hyung Kim
      Healthcare.2023; 11(10): 1420.     CrossRef
    • Relationships of neck circumference and abdominal obesity with insulin resistance considering relative handgrip strength in middle-aged and older individuals
      Kayoung Lee
      Archives of Gerontology and Geriatrics.2023; 114: 105097.     CrossRef
    • Temporal Trends of the Prevalence of Abdominal Obesity and Metabolic Syndrome in Korean Children and Adolescents between 2007 and 2020
      Jieun Lee, Sung-Chan Kang, Obin Kwon, Seung-sik Hwang, Jin Soo Moon, Hyun Wook Chae, Jaehyun Kim
      Journal of Obesity & Metabolic Syndrome.2023; 32(2): 170.     CrossRef
    • National trends in influenza vaccination coverage rates in South Korea between 2007-2020, including the COVID-19 pandemic: a longitudinal nationwide serial study
      Hyeon Jin Kim, Hyeowon Park, Dong Keon Yon, Masoud Rahmati
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      Epidemiology and Health.2022; 44: e2022041.     CrossRef
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    Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions
    Image Image
    Figure 1. Operation of the Korea National Health and Nutrition Examination Survey.
    Figure 2. Survey components of the Korea National Health and Nutrition Examination Survey. 1 Rotating items may be changed by plan revision.
    Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions
    Survey system Year Contents
    Effects
    Before After
    Survey cycle 2007 Conducted periodically (3-yr cycle) for 2-3 mo Conducted continuous annual survey Improve timeliness, reduce seasonal variation
    Sample size 2007 10,000 Individuals/3-yr (based on health examination) 10,000 Individuals/1-yr (based on health examination) Improve statistical power
    Field site 2008 Available public place (depending on primary sampling unit) Mobile examination center Standardize survey environments and equipment
    Field staff 2007 Short-term hired researcher Full-time staff Improve data quality
    Survey operation 2007 Conducted by a private institution Conducted by KDCA Stabilize survey system, improve data quality
    Survey Participants, n
    Response rate, %
    Health interview Health examination Nutrition survey Health interview Health examination Nutrition survey
    KNHANES I (1998) 39,060 9,771 11,267 - 89.8 -
    KNHANES II (2001) 37,769 9,770 10,051 - 77.3 81.0
    KNHANES III (2005) 34,145 7,597 9,047 - 70.2 80.5
    KNHANES IV (2007-2009) 23,632 22,137 74.5 81.8
    KNHANES V (2010-2012) 24,173 22,949 76.5 82.3
    KNHANES VI (2013-2015) 21,724 20,686 74.1 81.7
    KNHANES VII (2016-2018) 23,162 21,287 73.1 80.8
    KNHANES VIII (2019) 7,716 7,151 71.0 79.3
    Year of introduction Components Indicators
    Health examination survey
     2001 Pulmonary function test Chronic obstructive pulmonary disease prevalence
     2005 Mercury, lead, cadmium, cotinine Environmental exposure
     2007 Dental examination Dental caries, periodontal disease prevalence
    Insulin Diabetes-related indicator
    Vitamin D Vitamin D deficiency
    Arsenic, manganese Environmental exposure
     2008 Bone density, body composition Bone density/body fat distributions, osteoporosis prevalence
    PTH, ALP Osteoporosis-related indicators
    Ophthalmology examination Glaucoma, cataracts, macular degeneration, diabetic retinopathy prevalence
    Otolaryngologic disease examination Hearing loss, dizziness, voice disorder prevalence (2019)
     2009 Arthritis body measures Osteoarthritis prevalence
     2010 Immunoglobulin E-allergens Allergic disease prevalence
    Iron, ferritin (2007), TIBC Iron-deficiency anemia prevalence
     2011 Microalbumin Chronic kidney disease prevalence
     2012 Hepatitis C, hepatitis A (2015) Hepatitis prevalence
     2013 TSH, free T4, TPOAb, Iodine Thyroid disease prevalence
     2014 Grip strength Muscle strength, sarcopenia prevalence
    TST Tuberculosis infection rate
    Physical activity monitor Physical activity
     2016 NNAL Harmful effects of smoking
    Uric acid Gout prevalence
     2020 PM2.5, formaldehyde, TVOCs, CO2 Indoor air quality
    Health interview survey
     2005 EQ-5D, EQ-VAS Quality of life
    AUDIT Alcohol use disorder
    IPAQ Physical activity
     2014 GPAQ Physical activity
    PHQ-9 Depression symptom
     2015 Smokers’ panel Monitoring of smoking cessation policy
     2019 HINT-8 Quality of life
    STOP-Bang Sleep apnea
    Nutrition survey
     2010 Dietary supplements Nutrient intake by dietary supplements
     2012 Semiquantitative food frequency questionnaire Dietary risk factors for chronic disease
    Household food security survey module Food insecurity
     2015 Nutrient database Fatty acids (2015), cholesterol (2016), dietary fiber (2016), sugar (2019), folic acid (2020) intakes
     2016 Vitamin A, E, folic acid (serum) Nutritional biomarker distribution
    Released or linked data Year n Description
    Public use data release
    KNHANES 1998-2018 208,705 1998-2018 KNHANES microdata
    Data linkage
    Linked causes of death statistics 2007-2016 75,016 Date, cause of death
    Linked cancer registration statistics 2007-2016 74,977 Year (registered in cancer registration program), age (diagnosed with cancer), cancer sites and others
    Linked air quality data 2007-2017 85,108 PM2.5, PM10, sulfur dioxide, nitrogen dioxide, ozone, carbon monoxide, temperature, humidity and others
    Survey Biospecimen, n
    Serum Plasma DNA
    KNHANES IV (2007-2009) 18,825 14,982 14,289
    KNHANES V (2010-2012) 19,687 12,354 13,071
    KNHANES VI (2013-2015) 9,365 8,949 8,789
    KNHANES VII (2016-2018) 9,430 9,578 9,467
    KNHANES VIII (2019) 4,400 4,403 4,389
    Table 1. Reorganization of the Korea National Health and Nutrition Examination Survey

    KDCA, Korea Disease Control and Prevention Agency.

    Table 2. Data collection for the Korea National Health and Nutrition Examination Survey (KNHANES)

    Table 3. Extension of survey components in the Korea National Health and Nutrition Examination Survey

    PTH, parathyroid hormone; ALP, alkaline phosphatase; TIBC, total iron-binding capacity; TSH, thyroid-stimulating hormone; free T4, free thyroxine; TPOAb, thyroid peroxidase antibody; TST, tuberculin skin test; NNAL, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol; PM, particulate matter; TVOCs, total volatile organic compounds; CO2, carbon dioxide; EQ-5D, EuroQol-5 dimension; EQ-VAS, EuroQol visual analogue scale; AUDIT, alcohol use disorders identification test; IPAQ, International Physical Activity Questionnaire; GPAQ, Global Physical Activity Questionnaire; PHQ-9, Patient Health Questionnaire-9; HINT-8, health-related quality of life instrument with 8 items; STOP-Bang, snoring, tired, observed, blood pressure, body mass index, age, neck circumference, gender.

    Table 4. Data release and linkage of Korea National Health and Nutrition Examination Survey (KNHANES)

    PM, particulate matter.

    Table 5. Biospecimens of Korea National Health and Nutrition Examination Survey (KNHANES)


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