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Article: Social Connectedness and Cognitive Function Before and During COVID-19: A Longitudinal Study of Korean Older Adults With an Instrumental Variable Regression.

Lee, Jungtaek / Kim, Juyeon

2023 Volume 20, Issue 4, Page(s) 325–333

Abstract: Objective: We estimate the causal effect of social connectedness (i.e., the frequencies of meeting with friends, relatives, or neighbors) on cognitive function (the Korean version of Mini-Mental State Exam) among Korean older adults.: Methods: We ... ...

Abstract	Objective: We estimate the causal effect of social connectedness (i.e., the frequencies of meeting with friends, relatives, or neighbors) on cognitive function (the Korean version of Mini-Mental State Exam) among Korean older adults. Methods: We used longitudinal panel data collected before and during the coronavirus disease-2019 (COVID-19) to set up the fixed (FE) or random effect (RE) models. To overcome omitted variable bias or reverse causality, we used COVID-19 pandemic period as an instrumental variable to estimate the causal effect of social connectedness on cognitive function. Results: Social distancing measures during the COVID-19 period decreased social interaction. The results showed that an increase in the frequency of social interaction led an increase in cognitive scores. Specifically, an increase of one unit in the frequency of meeting familiar people increased cognitive scores by 0.1470 and 0.5035 in the RE and FE models, respectively. Conclusion: Social distancing policies due to the global pandemic may have increased the risk of social isolation and cognitive decline among older adults. The government and local communities need to increase their effort to develop way to connect adults through the remainder of the pandemic and beyond.
Language	English
Publishing date	2023-04-03
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2414364-9
ISSN	1976-3026 ; 1738-3684
ISSN (online)	1976-3026
ISSN	1738-3684
DOI	10.30773/pi.2022.0303
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Article ; Online: Effect of Virtual Game-Based Integrated Clinical Practice Simulation Program on Undergraduate Nursing Students' Attitude Toward Learning.

Kim, Hyun Jin / Oh, Juyeon / Lee, Seonhye

Computers, informatics, nursing : CIN

2024 Volume 42, Issue 3, Page(s) 218–225

Abstract: Game-based virtual reality simulation programs can capitalize on the advantages of non-face-to-face education while effectively stimulating the interest of trainees and improving training efficiency. This study aimed to develop a game-based virtual ... ...

Abstract	Game-based virtual reality simulation programs can capitalize on the advantages of non-face-to-face education while effectively stimulating the interest of trainees and improving training efficiency. This study aimed to develop a game-based virtual reality simulation program for nervous system assessment and to evaluate the effects of the program on the learning attitudes of nursing students. Using a one-group pretest-posttest design, 41 senior nursing students were enrolled, and their learning attitudes (self-directed learning attitude, academic self-efficacy, flow-learning experience, and learning presence) were evaluated. The effect of the program was statistically significant in self-directed learning attitude ( t = -2.27, P = .027) and learning presence ( t = -3.07, P = .003), but the difference was not statistically significant in academic self-efficacy ( t = -1.97, P = .054) and learning flow ( t = -0.74, P = .459). The virtual gaming simulation program can be used to effectively replace field training in situations wherein field training is limited, such as during the COVID-19 pandemic.
MeSH term(s)	Humans ; Students, Nursing ; Education, Nursing, Baccalaureate ; Pandemics ; Learning ; Computer Simulation
Language	English
Publishing date	2024-03-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	2078463-6
ISSN	1538-9774 ; 1538-2931
ISSN (online)	1538-9774
ISSN	1538-2931
DOI	10.1097/CIN.0000000000001105
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Article ; Online: PANCDR: precise medicine prediction using an adversarial network for cancer drug response.

Kim, Juyeon / Park, Sung-Hye / Lee, Hyunju

Briefings in bioinformatics

2024 Volume 25, Issue 2

Abstract: Pharmacogenomics aims to provide personalized therapy to patients based on their genetic variability. However, accurate prediction of cancer drug response (CDR) is challenging due to genetic heterogeneity. Since clinical data are limited, most studies ... ...

Abstract	Pharmacogenomics aims to provide personalized therapy to patients based on their genetic variability. However, accurate prediction of cancer drug response (CDR) is challenging due to genetic heterogeneity. Since clinical data are limited, most studies predicting drug response use preclinical data to train models. However, such models might not be generalizable to external clinical data due to differences between the preclinical and clinical datasets. In this study, a Precision Medicine Prediction using an Adversarial Network for Cancer Drug Response (PANCDR) model is proposed. PANCDR consists of two sub-models, an adversarial model and a CDR prediction model. The adversarial model reduces the gap between the preclinical and clinical datasets, while the CDR prediction model extracts features and predicts responses. PANCDR was trained using both preclinical data and unlabeled clinical data. Subsequently, it was tested on external clinical data, including The Cancer Genome Atlas and brain tumor patients. PANCDR outperformed other machine learning models in predicting external test data. Our results demonstrate the robustness of PANCDR and its potential in precision medicine by recommending patient-specific drug candidates. The PANCDR codes and data are available at https://github.com/DMCB-GIST/PANCDR.
MeSH term(s)	Humans ; Precision Medicine ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/pathology ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Machine Learning ; Pharmacogenetics
Chemical Substances	Antineoplastic Agents
Language	English
Publishing date	2024-03-07
Publishing country	England
Document type	Journal Article
ZDB-ID	2068142-2
ISSN	1477-4054 ; 1467-5463
ISSN (online)	1477-4054
ISSN	1467-5463
DOI	10.1093/bib/bbae088
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Article ; Online: Metabolic Obesity Phenotypes and Incident Cardiovascular Outcomes in Middle-Aged and Older Korean Adults: A Longitudinal 10-Year Analysis of the Korean Genome and Epidemiology Study.

Park, Jae-Min / Lee, Hye Sun / Yang, Juyeon / Jung, Dong-Hyuk / Lee, Ji-Won

Metabolic syndrome and related disorders

2024 Volume 22, Issue 3, Page(s) 232–239

Abstract: Background: ...

Abstract	Background:
MeSH term(s)	Adult ; Middle Aged ; Humans ; Aged ; Risk Factors ; Coronary Artery Disease/epidemiology ; Prospective Studies ; Obesity/complications ; Obesity/epidemiology ; Obesity/genetics ; Phenotype ; Stroke/epidemiology ; Republic of Korea/epidemiology ; Body Mass Index ; Metabolic Syndrome
Language	English
Publishing date	2024-04-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	2151220-6
ISSN	1557-8518 ; 1540-4196
ISSN (online)	1557-8518
ISSN	1540-4196
DOI	10.1089/met.2023.0170
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Article: Non-Insulin-Based Indices of Insulin Resistance for Predicting Incident Albuminuria: A Nationwide Population-Based Study.

Choi, Hea Lim / Yang, Juyeon / Lee, Hye Sun / Lee, Ji-Won

Korean journal of family medicine

2024

Abstract: Background: Studies have shown that incident albuminuria is associated with insulin resistance (IR); however, an IR marker that best predicts the prevalence of albuminuria has not yet been established. This study explored the association between IR and ... ...

Abstract	Background: Studies have shown that incident albuminuria is associated with insulin resistance (IR); however, an IR marker that best predicts the prevalence of albuminuria has not yet been established. This study explored the association between IR and incident albuminuria using various IR indices, including the homeostasis model assessment of IR (HOMA-IR), metabolic score for IR (METS-IR), and triglyceride-glucose (TyG) index, and compared their predictive abilities for the prevalence of albuminuria. Methods: A total of 4,982 Korean adults from the 2019 Korea National Health and Nutritional Examination Survey were analyzed. The odds of albuminuria were determined using the quartiles of the IR indices. Receiver operating characteristic (ROC) curves were used to calculate the area under the ROC curve and predictability. The cutoff values for albuminuria detection were also computed. Results: An increase in the quartiles of all three IR indices was associated with incident albuminuria, even after full adjustment for covariates (HOMA-IR: odds ratio [OR], 1.906; 95% confidence interval [CI], 1.311-2.772; P=0.006; METS-IR: OR, 2.236; 95% CI, 1.353-3.694; P=0.002; TyG index: OR, 1.757; 95% CI, 1.213-2.544; P=0.003). The area under the ROC curve for incident albuminuria based on the HOMA-IR, METS-IR, and TyG indices was 0.594 (95% CI, 0.568-0.619), 0.633 (95% CI, 0.607-0.659), and 0.631 (95% CI, 0.606-0.656), respectively. The optimal cutoff values for predicting albuminuria were 2.38, 35.38, and 8.72 for the HOMA-IR, METS-IR, and TyG indices, respectively. Conclusion: The METS-IR and TyG indices outperformed HOMA-IR in predicting incident albuminuria.
Language	English
Publishing date	2024-03-25
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2674300-0
ISSN	2092-6715 ; 2005-6443
ISSN (online)	2092-6715
ISSN	2005-6443
DOI	10.4082/kjfm.23.0138
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A Short Fully Covered Self-Expandable Metal Stent for Management of Benign Biliary Stricture Not Caused by Living-Donor Liver Transplantation.

Lee, See-Young / Jang, Sung-Ill / Chung, Moon-Jae / Cho, Jae-Hee / Do, Min-Young / Lee, Hye-Sun / Yang, Juyeon / Lee, Dong-Ki

Journal of clinical medicine

2024 Volume 13, Issue 5

Abstract: ... ...

Abstract	Background
Language	English
Publishing date	2024-02-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662592-1
ISSN	2077-0383
ISSN	2077-0383
DOI	10.3390/jcm13051186
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Article ; Online: How does informal employment affect health and health equity? Emerging gaps in research from a scoping review and modified e-Delphi survey

Juyeon Lee / Erica Di Ruggiero

International Journal for Equity in Health, Vol 21, Iss 1, Pp 1-

2022 Volume 12

Abstract: Abstract Introduction This article reports on the results from a scoping review and a modified e-Delphi survey with experts which aimed to synthesize existing knowledge and identify research gaps on the health and health equity implications of informal ... ...

Abstract	Abstract Introduction This article reports on the results from a scoping review and a modified e-Delphi survey with experts which aimed to synthesize existing knowledge and identify research gaps on the health and health equity implications of informal employment in both low- and middle-income countries (LMICs) and high-income countries (HICs). Methods The scoping review included peer-reviewed articles published online between January 2015 and December 2019 in English. Additionally, a modified e-Delphi survey with experts was conducted to validate our findings from the scoping review and receive feedback on additional research and policy gaps. We drew on micro- and macro-level frameworks on employment relations and health inequities developed by the Employment Conditions Knowledge Network to synthesize and analyze existing literature. Results A total of 540 articles were screened, and 57 met the eligibility criteria for this scoping review study, including 36 on micro-level research, 19 on macro-level research, and 13 on policy intervention research. Most of the included studies were conducted in LMICs while the research interest in informal work and health has increased globally. Findings from existing literature on the health and health equity implications of informal employment are mixed: informal employment does not necessarily lead to poorer health outcomes than formal employment. Although all informal workers share some fundamental vulnerabilities, including harmful working conditions and limited access to health and social protections, the related health implications vary according to the sub-groups of workers (e.g., gender) and the country context (e.g., types of welfare state or labour market). In the modified e-Delphi survey, participants showed a high level of agreement on a lack of consensus on the definition of informal employment, the usefulness of the concept of informal employment, the need for more comparative policy research, qualitative health research, and research on the intersection between ...
Keywords	Informal employment ; Health inequities ; Sustainable development goals ; Public aspects of medicine ; RA1-1270
Subject code	306
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Comparative risk of incident and recurrent acute anterior uveitis across different biological agents in patients with ankylosing spondylitis.

Kwon, Oh Chan / Lee, Hye Sun / Yang, Juyeon / Park, Min-Chan

Rheumatology (Oxford, England)

2024

Abstract: Objective: To evaluate the comparative risk of incident and recurrent acute anterior uveitis (AAU) across different biological disease-modifying anti-rheumatic drugs (bDMARDs) in patients with ankylosing spondylitis (AS).: Methods: A retrospective ... ...

Abstract	Objective: To evaluate the comparative risk of incident and recurrent acute anterior uveitis (AAU) across different biological disease-modifying anti-rheumatic drugs (bDMARDs) in patients with ankylosing spondylitis (AS). Methods: A retrospective nationwide cohort study was conducted on 34 621 patients with AS without a previous history of AAU using a national claims database. Patients were followed-up from 2010 to 2021. The comparative risk of incident and recurrent AAU across different bDMARDs was examined using multivariable time-dependent Cox models and counting process (AG) models, respectively. Results: The adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for incident AAU (bDMARDs non-exposure as reference) were: adalimumab 0.674 (0.581-0.891), etanercept 1.760 (1.540-2.012), golimumab 0.771 (0.620-0.959), infliximab 0.891 (0.741-1.071), and secukinumab 1.324 (0.794-2.209). Compared with adalimumab exposure, etanercept (aHR = 2.553 [2.114-3.083]), infliximab (aHR = 1.303 [1.039-1.634]), and secukinumab exposures (aHR = 2.173 [1.273-3.710]) showed a higher risk of incident AAU. The aHRs and 95% CIs for recurrent AAU (bDMARDs non-exposure as reference) were: adalimumab 0.798 (0.659-0.968), etanercept 1.416 (1.185-1.693), golimumab 0.874 (0.645-1.185), infliximab 0.926 (0.729-1.177), and secukinumab 1.257 (0.670-2.359). Compared with adalimumab exposure, etanercept exposure (aHR = 1.793 [1.403-2.292]) was associated with a higher risk of recurrent AAU. Conclusion: Our data suggest preference for bDMARDs in the following order: adalimumab/golimumab > infliximab > secukinumab > etanercept (for incident AAU prevention) and adalimumab > golimumab/infliximab/secukinumab > etanercept (for recurrent AAU prevention).
Language	English
Publishing date	2024-01-18
Publishing country	England
Document type	Journal Article
ZDB-ID	1464822-2
ISSN	1462-0332 ; 1462-0324
ISSN (online)	1462-0332
ISSN	1462-0324
DOI	10.1093/rheumatology/keae003
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Article ; Online: Deep compression network for enhancing numerical reconstruction quality of full-complex holograms.

Seo, Juyeon / Lee, Jaewoo / Lee, Juhyun / Ko, Hyunsuk

Optics express

2023 Volume 31, Issue 15, Page(s) 24573–24597

Abstract: The field of digital holography has been significant developed in recent decades, however, the commercialization of digital holograms is still hindered by the issue of large data sizes. Due to the complex signal characteristics of digital holograms, ... ...

Abstract	The field of digital holography has been significant developed in recent decades, however, the commercialization of digital holograms is still hindered by the issue of large data sizes. Due to the complex signal characteristics of digital holograms, which are of interferometric nature, traditional codecs are not able to provide satisfactory coding efficiency. Furthermore, in a typical coding scenario, the hologram is encoded and then decoded, leading to a numerical reconstruction via a light wave propagation model. While previous researches have mainly focused on the quality of the decoded hologram, it is the numerical reconstruction that is visible to the viewer, and thus, its quality must also be taken into consideration when designing a coding solution. In this study, the coding performances of existing compression standards, JPEG2000 and HEVC-Intra, are evaluated on a set of digital holograms, then the limitations of these standards are analyzed. Subsequently, we propose a deep learning-based compression network for full-complex holograms that demonstrates superior coding performance when compared to the latest standard codecs such as VVC and JPEG-XL, in addition to JPEG2000 and HEVC. The proposed network incorporates not only the quality of the decoded hologram, but also the quality of the numerical reconstruction as distortion costs for network training. The experimental results validate that the proposed network provides superior objective coding efficiency and better visual quality compared to the existing methods.
Language	English
Publishing date	2023-07-19
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.494835
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: 의학 논문 작성 시 발생하는 흔한 통계적 오류.

Jeon, Soyoung / Yang, Juyeon / Lee, Hye Sun

Journal of the Korean Society of Radiology

2023 Volume 84, Issue 4, Page(s) 866–878

Abstract: Statistical analysis is an essential component of the medical writing process for research-related articles. Although the importance of statistical testing is emphasized, statistical mistakes continue to appear in journal articles. Major statistical ... ...

Title translation	Statistical Mistakes Commonly Made When Writing Medical Articles.
Abstract	Statistical analysis is an essential component of the medical writing process for research-related articles. Although the importance of statistical testing is emphasized, statistical mistakes continue to appear in journal articles. Major statistical mistakes can occur in any of the three different stages of medical writing, including in the design stage, analysis stage, and interpretation stage. In the design stage, mistakes occur if there is a lack of specificity regarding the research hypothesis or data collection and analysis plans. Discrepancies in the analysis stage occur if the purpose of the study and characteristics of the data are not sufficiently considered, or when an inappropriate analytic procedure is followed. After performing the analysis, the results are interpreted, and an article is written. Statistical analysis mistakes can occur if the underlying methods are incorrectly written or if the results are misinterpreted. In this paper, we describe the statistical mistakes that commonly occur in medical research-related articles and provide advice with the aim to help readers reduce, resolve, and avoid these mistakes in the future.
Language	Korean
Publishing date	2023-04-13
Publishing country	Korea (South)
Document type	English Abstract ; Journal Article ; Review
ISSN	2951-0805
ISSN (online)	2951-0805
DOI	10.3348/jksr.2022.0108
Database	MEDical Literature Analysis and Retrieval System OnLINE

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