The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
National General Health Screening Program in Korea: history, current status, and future direction
Open accessAbstract
Health screening is an important component of health promotion programs, and countries have promoted general health screening targeting the prevention and early management of common chronic diseases. In Korea, a General Health Screening Program (GHSP) began with workers in the 1950s and continuously expanded its target population, and currently includes the adult population. The main target diseases are cerebroand cardiovascular diseases, including hypertension, diabetes mellitus, dyslipidemia, obesity, and related health behaviors. Other target conditions include other diseases (e.g., anemia, liver disease, visual/auditory impairment), mental health (e.g., depression), and geriatric disease and function (osteoporosis, dementia, risk of fall, etc.). The National Health Information Database, including GHSP information, is now extensively used in clinical and public health research. The participation rate is currently 70% to 80%, but varies according to age, disability, and the socioeconomic status. There is a need for a more systematic evaluation of the screening items, reducing disparity gaps in participation, and linking GHSP to actual health promotion.
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Cites
Cohort Profile: The National Health Insurance Service–National Sample Cohort (NHIS-NSC), South Korea
Lee, J., Lee, J. S., Park, S.-H., Shin, S. A., & Kim, K. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyv319 · Cited by 1,469
Cheol Seong, S., Kim, Y.-Y., Khang, Y.-H., Heon Park, J., Kang, H.-J., Lee, H., Do, C.-H., Song, J.-S., Hyon Bang, J., Ha, S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw253 · Cited by 1,277
Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble
Kontis, V., Bennett, J. E., Mathers, C. D., Li, G., Foreman, K., & Ezzati, M. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32381-9 · Cited by 1,219
Barry, E., Galvin, R., Keogh, C., Horgan, F., & Fahey, T. (2014) · BMC Geriatrics · doi:10.1186/1471-2318-14-14 · Cited by 1,017
Seong, S. C., Kim, Y.-Y., Park, S. K., Khang, Y. H., Kim, H. C., Park, J. H., Kang, H.-J., Do, C.-H., Song, J.-S., Lee, E.-J., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016640 · Cited by 830
Self-citationKocalevent, R.-D., Hinz, A., & Brähler, E. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.04.006 · Cited by 748
Kim, J.-A., Yoon, S., Kim, L.-Y., & Kim, D.-S. (2017) · Journal of Korean Medical Science · doi:10.3346/jkms.2017.32.5.718 · Cited by 707
Bae, J. N., & Cho, M. J. (2004) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2004.01.004 · Cited by 616
US Preventive Services Task Force, Bibbins-Domingo, K., Grossman, D. C., Curry, S. J., Davidson, K. W., Epling, J. W., García, F. A. R., Gillman, M. W., Kemper, A. R., Krist, A. H., et al. (2016) · JAMA · doi:10.1001/jama.2016.15450 · Cited by 589
Screening for Depression in Adults: U.S. Preventive Services Task Force Recommendation Statement
U.S. Preventive Services Task Force* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-11-200912010-00006 · Cited by 580
Cited by
Changes in alcohol consumption and risk of dementia in a nationwide cohort in South Korea
Jeon, K. H., Han, K., Jeong, S.-M., Park, J., Yoo, J. E., Yoo, J., Lee, J., Kim, S., & Shin, D. W. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.54771 · Cited by 101
Self-citationAssociation of Changes in Smoking Intensity With Risk of Dementia in Korea
Jeong, S.-M., Park, J., Han, K., Yoo, J., Yoo, J. E., Lee, C. M., Jung, W., Lee, J., Kim, S., & Shin, D. W. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.51506 · Cited by 48
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Metadata
- Authors
- Shin, D. W., Cho, J., Park, J. H., & Cho, B.
- Venue
- Precision and Future Medicine
- Published
- 2022-03-31
- Volume
- 6
- Issue
- 1
- Pages
- 9-31
- ISSN
- 2508-7940 (ISSN-L)
- 2508-7959
- OpenAlex
- W4213209208
- Cited by
- 348
- References
- 78
- FWCI
- 58.16
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Shin, D. W., Cho, J., Park, J. H., & Cho, B. (2022). National General Health Screening Program in Korea: history, current status, and future direction. Precision and Future Medicine. https://doi.org/10.23838/pfm.2021.00135
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
