A5007033501- COVID-19 and Mental Health
- Drug-Induced Adverse Reactions
- Asthma and respiratory diseases
- Allergic Rhinitis and Sensitization
- Suicide and Self-Harm Studies
- Obesity, Physical Activity, Diet
- Diabetes, Cardiovascular Risks, and Lipoproteins
- SARS-CoV-2 and COVID-19 Research
- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- COVID-19 and healthcare impacts
- Dermatology and Skin Diseases
- Artificial Intelligence in Healthcare
- Pharmacovigilance and Adverse Drug Reactions
- Cardiovascular Health and Risk Factors
- Pregnancy and Medication Impact
- Heparin-Induced Thrombocytopenia and Thrombosis
- Smoking Behavior and Cessation
- Health and Wellbeing Research
- Machine Learning in Healthcare
- Air Quality and Health Impacts
- Physical Activity and Health
- Child and Adolescent Psychosocial and Emotional Development
- Rheumatoid Arthritis Research and Therapies
- Health Promotion and Cardiovascular Prevention
Kyung Hee University Medical Center
2023-2025
Kyung Hee University
2003-2025
Columbia University Irving Medical Center
2024
Abstract Considering the significant burden of post-acute COVID-19 conditions among patients infected with SARS-CoV-2, we aimed to identify risk acute respiratory complications or sequelae. A binational population-based cohort study was conducted analyze sequelae after SARS-CoV-2 infection. We used a Korean nationwide claim-based (K-COV-N; n = 2,312,748; main cohort) and Japanese (JMDC; 3,115,606; replication multi-to-one propensity score matching. Among 2,312,748 participants (mean age,...
Background Given the additional risk of suicide-related behaviors in adolescents with allergic rhinitis (AR), it is important to use growing field machine learning (ML) evaluate this risk. Objective This study aims validity and usefulness an ML model for predicting suicide patients AR. Methods We used data from 2 independent survey studies, Korea Youth Risk Behavior Web-based Survey (KYRBS; n=299,468) original set National Health Nutrition Examination (KNHANES; n=833) external validation...
Importance Only a few studies have examined the long-term trends of hand and oral hygiene, especially among adolescents. Objective To investigate 15-year in frequency handwashing toothbrushing examine factors associated with particularly during COVID-19 pandemic. Design, Setting, Participants This cross-sectional study, performed from January 1, 2008, to December 31, 2022, used general population–based data 963 644 individuals national representative survey (Korea Youth Risk Behavior...
Abstract Vaccine‐associated multiple sclerosis (MS) is rare, with insufficient evidence from case reports. Given the scarcity of large‐scale data investigating association between vaccine administration and adverse events, we investigated global burden vaccine‐associated MS potential related vaccines 1967 to 2022. Reports on 2022 were obtained World Health Organization International Pharmacovigilance Database (total number reports = 120 715 116). We evaluated reports, reporting odds ratio...
Abstract Although previous studies have focused on hepatobiliary and gastrointestinal adverse drug reactions (ADRs) associated with COVID‐19 vaccines, literature such ADRs other vaccines is limited, particularly a global scale. Therefore, we aimed to investigate the burden of vaccine‐associated identify implicated in these occurrences. This study utilized data from World Health Organization (WHO) international pharmacovigilance database extract reports 1967 2023 (total = 131 255 418)....
<b><i>Introduction:</i></b> Existing studies provide insights into the prevalence and environmental factors associated with allergic rhinitis (AR) chronic rhinosinusitis (CRS) globally. However, limitations still persist in these studies, particularly regarding cohort sizes duration of follow-up periods, indicating a need for more comprehensive long-term research fields. Our study aimed to investigate prevalence, trends, underlying conditions general population adult...
Although food labeling on packages is crucial for promoting a healthy diet, limited research has been conducted how the COVID-19 pandemic (hereinafter "the pandemic") affected awareness. Therefore, this study aims to analyze changes in trends awareness, comprehension, and usage South Korea during pandemic. We utilized nationwide, large-scale, long-term dataset provided by Community Health Survey (KCHS) from 2014 2022 (total = 1,756,847 participants). This allowed researchers assess...
Abstract Background There are only preliminary studies examining the associations of postnatal antibiotic exposure with food allergy in childhood, and effect utero has not been resolved. Thus, we aimed to investigate prenatal on risk childhood. Methods Using nationwide birth cohort South Korea, all 3,163,206 infants (pairing mother; n = 2,322,735) born Korea between 2010 2017 were included analysis. The primary outcome was diagnosis allergy, observation period January 1, 2009, December 31,...
This study aimed to develop and validate a machine learning (ML) model tailored the Korean population with type 2 diabetes mellitus (T2DM) provide superior method for predicting development of cardiovascular disease (CVD), major chronic complication in these patients. We used data from two cohorts, namely discovery (one hospital; n = 12,809) validation (two hospitals; 2019) recruited between 2008 2022. The outcome interest was presence or absence CVD at 3 years. selected various ML-based...
Despite the potential association between herpes zoster infection and cardiovascular events, limited studies have investigated relationship live vaccination outcomes. This large-scale, population-based cohort study with a long-term follow-up aimed to investigate risk of various events. Data on comprehensive information individuals aged ≥50 years from South Korea (n = 2 207 784) were included 1 January 2012, 31 December 2021. National insurance Health Insurance Review Assessment Service,...
Background To address gaps in global understanding of cultural and social variations, this study used a high-performance machine learning (ML) model to predict adolescent substance use across three national datasets. Objective This aims develop generalizable predictive for using multinational datasets ML. Methods The the Korea Youth Risk Behavior Web-Based Survey (KYRBS) from South (n=1,098,641) train ML models. For external validation, we (YRBS) United States (n=2,511,916) Norwegian...
Abstract Prior research has predominantly focused on the overall effects of tobacco tax increase and COVID-19 pandemic adolescent smoking behavior. However, there is a need to examine both immediate sustained associations these two factors subgroups adolescents, employing an interrupted time-series model. We aimed investigate association prevalence. This study utilized data from Korea Youth Risk Behavior Web-Based Survey analyze prevalence current among all participants (CSP) daily smokers...
Background/Aims: Considering emerging evidence on long COVID, comprehensive analyses of the post-acute complications SARS-CoV-2 infection in gastrointestinal and hepatobiliary systems are needed. We aimed to investigate impact COVID-19 long-term risk diseases other digestive abnormalities.Methods: used three large-scale population-based cohorts: Korean cohort (discovery cohort), Japanese (validation cohort-A), UK Biobank cohort-B). A total 10,027,506 Korean, 12,218,680 Japanese, 468,617...
Abstract The scarce and conflicting data on vaccine‐associated facial paralysis limit our understanding of vaccine safety a global scale. Therefore, this study aims to evaluate the burden identify extent its association with individual vaccines, thereby contributing development more effective vaccination program. We used from 1967 2023 (total reports, n = 131 255 418 418) World Health Organization International Pharmacovigilance Database. Global reporting counts, reported odds ratios (ROR),...
To evaluate the potential association between suicidality and glucagon-like peptide-1 receptor agonists (GLP-1RAs), as well other medications used for obesity diabetes, using comprehensive global data.