Gwi Eun Yeo

Gwi Eun Yeo

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

View All Publications
31 January 2020 in Anesthesia and Pain Medicine
Verified
Journal Article
Open access
PDF file
ADAram Doo
Aram Doo
JLJeongwoo Lee
Jeongwoo Lee
GYGwi Eun Yeo
Gwi Eun Yeo
KLKeun Hyeong Lee
Keun Hyeong Lee
YKYe Sull Kim
Ye Sull Kim
JSJi-Seon Son
Ji-Seon Son
A Ram Doo, Jeongwoo Lee, Gwi Eun Yeo, Keun Hyeong Lee, Ye Sull Kim, Ju Han Mun, Young Jin Han, and Ji-Seon Son. Anesth Pain Med 2020;15:103-10. https://doi.org/10.17085/apm.2020.15.1.103

1 January 2018 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
JKJu Deok Kim
Ju Deok Kim
ISIlsoon Son
Ilsoon Son
WKWon-Kyoung Kwon
Won-Kyoung Kwon
TSTae-Yun Sung
Tae-Yun Sung
HSHanafi Sidik
Hanafi Sidik
TKTae-Yop Kim
Tae-Yop Kim
Kim JD, et al. J Korean Med Sci. 2017 Dec;33(4):e28. https://doi.org/10.3346/jkms.2018.33.e28

16 July 2026 in Life
Verified
Journal Article
Open access
PDF file
JPJeong Jun Park
Jeong Jun Park
GYGwi Eun Yeo
Gwi Eun Yeo
YKYoura Kim
Youra Kim
JKJoonhyung Kim
Joonhyung Kim
Childhood myopia is increasingly discussed in relation to digital device use, yet total screen duration is biologically nonspecific (not tied to a single biological cause) and may combine outdoor-light deficit, near work intensity, educational routines, and sleep/circadian timing. This critical narrative review used structured database searches to support transparent source identification, not systematic completeness, quantitative pooling, or formal risk-of-bias grading. We narratively appraised evidence by design, exposure specificity, outcome specificity, temporality, and clinical directness, then derived a measurement framework. Outdoor light exposure has the strongest support for preventing incident myopia. Near work and the visual demands of schooling are important, but they are measured in inconsistent ways. Sleep and circadian timing remain biologically plausible, albeit lower-certainty modifiers. Digital device metrics are best interpreted as contextual measurement markers that can recover timing, bout structure, task context, substitution, and adherence, rather than as standalone causal surrogates (stand-ins for a true cause). The proposed framework prioritizes direct measurement of outdoor light, near work intensity, sleep/circadian timing, and axial-growth outcomes, using device-related behavior only when it clarifies daily exposure patterns. This is a narrative review of previously described behavioral factors; it does not identify new risk factors or propose a novel causal model. For measurement, it groups these behaviors by how they occur together across a single day and separates substitution, mediation, interaction, and temporal clustering as distinct estimands (the specific quantities to be estimated). Its purpose is to improve exposure measurement and hypothesis testing, not to establish digital device use, sleep timing, or clustered routines as independent causal risk factors.

1 January 2026 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
GYGwi Eun Yeo
Gwi Eun Yeo
JKJoonhyung Kim
Joonhyung Kim
Yeo GE, et al. J Korean Med Sci. 2026 Nov;41:e345. https://doi.org/10.3346/jkms.2026.41.e345