Man Yong Han

Prof. Dr. Man Yong Han

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2017 in Allergy, Asthma & Immunology Research
Verified
Journal Article
Open access
PDF file
SLSeung Jin Lee
Seung Jin Lee
EHEun Kyo Ha
Eun Kyo Ha
HJHye Mi Jee
Hye Mi Jee
KLKyung Suk Lee
Kyung Suk Lee
Seung Won LeeSeung Won Lee
Seung Won Lee
MHMan Yong Han
Man Yong Han
Lee SJ, et al. Allergy Asthma Immunol Res. 2017 May;9(3):212-219. https://doi.org/10.4168/aair.2017.9.3.212

1 December 2019 in Journal of Allergy and Clinical Immunology
Verified
Journal Article
Closed access
Seung Won LeeSeung Won Lee
Seung Won Lee
DYDong Keon Yon
Dong Keon Yon
CJChase C. James
Chase C. James
SLShinhae Lee
Shinhae Lee
HKHyun Yong Koh
Hyun Yong Koh
GSGeorge Sugihara
George Sugihara

1 October 2014 in The Journal of Pediatrics
Verified
Journal Article
Closed access
JBJi Hyeon Baek
Ji Hyeon Baek
YSYoun Ho Shin
Youn Ho Shin
ICIn Hyuk Chung
In Hyuk Chung
HKHae Jung Kim
Hae Jung Kim
EYEun-Gyong Yoo
Eun-Gyong Yoo
MHMan Yong Han
Man Yong Han

1 January 2011 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
JKJihyun Kim
Jihyun Kim
MHMyung-Il Hahm
Myung-Il Hahm
SLSo-Yeon Lee
So-Yeon Lee
WKWoo Kyung Kim
Woo Kyung Kim
YCYoomi Chae
Yoomi Chae
KAKangmo Ahn
Kangmo Ahn
Kim J, et al. J Korean Med Sci. 2011 Sep;26(9):1165-1172. http://dx.doi.org/10.3346/jkms.2011.26.9.1165

1 January 2011 in Journal of the Korean Medical Association
Verified
Journal Article
Open access
PDF file
KAKangmo Ahn
Kangmo Ahn
JKJihyun Kim
Jihyun Kim
HKHo-Jang Kwon
Ho-Jang Kwon
YCYoomi Chae
Yoomi Chae
MHMyung-Il Hahm
Myung-Il Hahm
WKWoo Kyung Kim
Woo Kyung Kim
Ahn K, et al. J Korean Med Assoc. 2011 Jul;54(7):769-778. http://dx.doi.org/10.5124/jkma.2011.54.7.769

15 September 2021 in Clinical and Experimental Pediatrics
Verified
Journal Article
Open access
PDF file
JKJU HEE KIM
JU HEE KIM
JLJung Eun Lee
Jung Eun Lee
SSSo Min Shim
So Min Shim
EHEunkyo Ha
Eunkyo Ha
DYDong Keon Yon
Dong Keon Yon
MHMan Yong Han
Man Yong Han
Background: An adequate large-scale pediatric cohort based on nationwide administrative data is lacking in Korea.Purpose: This study established the National Investigation of Birth Cohort in Korea study 2008 (NICKs-2008) based on data from a nationwide population-based health screening program and data on healthcare utilization for children.Methods: The NICKs-2008 study consisted of the Korean National Health Insurance System (NHIS) and the National Health Screening Program for Infants and Children (NHSPIC) databases comprising children born in 2008 (n=469,248) and 2009 (n=448,459) in the Republic of Korea. The NHIS database contains data on age, sex, residential area, income, healthcare utilization (International Classification of Diseases-10 codes, procedure codes, and drug classification codes), and healthcare providers. The NHSPIC consists of 7 screening rounds. These screening sessions comprised physical examination, developmental screening (rounds 2–7), a general health questionnaire, and age-specific anticipatory guidance.Results: During the 10-year follow-up, 2,718 children (0.3%) died, including more boys than girls (hazard ratio, 1.145; P<0.001). A total of 848,048 children participated in at least 1 of the 7 rounds of the NHSPIC, while 96,046 participated in all 7 screening programs. A total of 823 infants (0.1%) weighed less than 1,000 g, 3,177 (0.4%) weighed 1,000–1,499 g, 37,166 (4.4%) weighed 1,500–2,499 g, 773,081 (91.4%) weighed 2,500–4,000 g, and 32,016 (5.1%) weighed over 4,000 g. There were 23,404 premature babies (5.5%) in 2008 compared to 23,368 (5.6%) in 2009. The developmental screening test indicated appropriate development in 95%–98% of children, follow-up requirements for 1%–4% of children, and recommendations for further evaluation for 1% of children.Conclusion: The NICKs-2008, which integrates data from the NHIS and NHSPIC databases, can be used to analyze disease onset prior to hospitalization based on information such as lifestyle, eating habits, and risk factors.