Publications by authors named "Selin Woo"

Background: Residential greenness is an important environmental factor potentially influencing the development of allergic diseases in adolescents; however, its impact remains understudied in South Korea. This study aimed to examine the association between residential greenness and allergic disease prevalence using nationally representative data.

Method: We analyzed data from 1,130,598 adolescents (7-12th grade) participating in the Korean Youth Risk Behavior Web-based Survey (2007-2024).

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Background: Photobiomodulation (PBM) is a non-invasive therapy increasingly used for pain, inflammation, and tissue repair, yet a comprehensive synthesis of its effectiveness across multiple health outcomes remains lacking. Herein, we aimed to systematically assess the clinical effects and strength of evidence for PBM across a wide range of health outcomes using data from existing meta-analyses of randomized controlled trials (RCTs).

Methods: We conducted an umbrella review of meta-analyses of RCTs, searching five databases up to December 8, 2023.

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Background: Due to the lack of comprehensive longitudinal studies examining the impact of long-term volatility on health issues, existing research primarily focused on income levels rather than fluctuation. Thus, we aimed to investigate the relationship between income instability and a range of physical health conditions using an extensive longitudinal dataset.

Methods: This study utilized data from the Korean Genome and Epidemiology Study (KoGES) Ansan-Anseong cohort (2001-2022), which includes valuable confounding factors such as demographic, socioeconomic, lifestyle, and clinical factors.

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Background: Pharyngeal cancer has resulted in 3.23 million disability-adjusted life years as of 2019. Based on anatomical site, pharyngeal cancers are categorized into oropharyngeal cancers (OPCs), nasopharyngeal cancers (NPCs), and hypopharyngeal cancers (HPCs).

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Background: The patterns of cancer burden in children, adolescents and young adults are distinct from those in the general adult population, underscoring the importance of developing targeted research and interventions. Thus, we analyzed global, regional, and national cancer mortality trends via the World Health Organization (WHO) Mortality Database among children aged 0-14 years and adolescents and young adults aged 15-34 across 77 WHO Member States.

Methods: Age-standardized country-specific cancer mortality rates (deaths per 100,000) and years of life lost between 1990 and 2021 were estimated via a locally weighted scatterplot smooth curve.

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Background: Glycaemic variability and body composition are emerging predictors of cardiovascular disease (CVD) in patients with Type 2 diabetes mellitus (T2DM); however, their combined impact remains unclear. We investigated the association among HbA1c variability, body composition parameters and cardiovascular outcomes in adults with T2DM.

Methods: This retrospective cohort study analysed electronic health records from a university hospital (2011-2020), including 8224 adults (mean age 58.

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As population aging accelerates in China, community care services have become increasingly important for supporting the well-being of older adults. However, research examining gender-specific associations between community care services and quality of life (QoL) remains limited. This study aimed to investigate the gender-specific associations between the perceived availability of community care services and QoL among older adults, using data from the eighth wave (2017-2018) of the China Longitudinal Healthy Longevity Survey (CLHLS).

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Objective: To develop a multimodal model to predict chronic kidney disease (CKD) in patients with type 2 diabetes mellitus (T2DM), given the limited research on this integrative approach.

Research Design And Methods: We obtained multimodal data sets from Kyung Hee University Medical Center (n = 7,028; discovery cohort) for training and internal validation and UK Biobank (n = 1,544; validation cohort) for external validation. CKD was defined based on ICD-9 and ICD-10 codes and/or estimated glomerular filtration rate (eGFR) ≤60 mL/min/1.

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Background: In the context of increased health risks for individuals with underlying conditions due to the coronavirus disease 2019 (COVID-19) pandemic, this study investigated whether dietary improvements differ based on the diagnosis of chronic diseases.

Methods: This study used data from the Korea National Health and Nutrition Examination Survey from 2013 to 2021, including 45,391 individuals aged 19 years and older. Diet quality was assessed by the Korean Healthy Eating Index (KHEI) scores.

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Purpose: The incidence and risk of serotonin syndrome associated with selective serotonin reuptake inhibitors (SSRIs) have increased. However, large-scale studies investigating this relationship remain limited. Therefore, this study aims to evaluate the signal detection between six SSRIs and serotonin syndrome, rank their relative risks, and propose practical preventive strategies.

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Background: Understanding the global trends and future projections of maternal mortality ratio (MMR) is crucial as it can provide insights into improving policies and healthcare systems aimed at enhancing the quality of obstetric care and reducing preventable deaths. Given recent reports of increasing MMR trends in some high-income countries (HICs), we aimed to analyze the global trends of MMR from 1990 to 2021 and project future trends until 2050 across 37 countries.

Methods: Age-standardized country-specific MMR for 37 countries from 1990 to 2021 were assessed through a locally weighted scatter plot smoother (LOESS) curve, with weighting based on individual country populations, utilizing the World Health Organization Mortality Database.

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Dyslipidemia has steadily increased in South Korea over the past two decades, emerging as a major public health concern and key risk factor for cardiovascular disease. Thus, our study aimed to investigate long-term trends in the prevalence, awareness, treatment, and control of dyslipidemia in South Korea, including the COVID-19 pandemic. This study utilized data from nationally representative cross-sectional surveys conducted as part of the Korea National Health and Nutrition Examination Survey from 2005 to 2022, analyzing long-term trends of dyslipidemia among 98,396 individuals aged over 30.

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Background: Although antidepressants have been implicated in seizure risk, comprehensive safety data examining this risk across different antidepressants remains limited.

Methods: Data from Vigibase, an international pharmacovigilance database, encompassing 131,255,418 reports from 1967 to 2023, was analyzed. Reporting odds ratio (ROR) and information component (IC) were calculates to identify disproportionate associations between 17 antidepressants and seizures.

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Background: Adolescent violence victimization is a major public health concern, but research has been limited by short durations and small samples, restricting long-term understanding. This study examined its trends and vulnerabilities in South Korea, focusing on the impact of COVID-19 pandemic.

Methods: Data were collected from 740,687 nationally representative samples (7-12th grade adolescents) through the Korean Youth Risk Behavior Web-based Survey from 2012 to 2023.

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Background: Although understanding long-term trends in adolescent screen time and the influence of family structure is essential, there is a lack of research addressing these issues comprehensively.

Objective: This study aimed to conduct comprehensive investigations into adolescent screen time before and during the COVID-19 pandemic, with a particular focus on family structures.

Methods: This study used nationwide, large-scale data from the Korea Youth Risk Behavior Web-Based Survey from South Korea.

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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 study aims to develop a generalizable predictive model for adolescent substance use using multinational datasets and ML.

Methods: The study used the Korea Youth Risk Behavior Web-Based Survey (KYRBS) from South Korea (n=1,098,641) to train ML models.

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Background: Although a greater social engagement is often associated with a reduced risk of depression, longitudinal studies that account for diverse social structures and cultural contexts among middle-aged or older are limited.

Methods: This study utilized cohort data from the Korean Longitudinal Study of Aging (n = 11,174; 2006-2020) in South Korea (KR), the Health and Retirement Study (n = 42,405; 2004-2019) in the United States, and the English Longitudinal Study of Aging (n = 28,624; 2002-2019) in the United Kingdom, including a total of 29,378 individuals from the population aged ≥45 years. Social engagement frequency was categorized into infrequent, intermediate, and frequent, with changes classified as unchanged, increased, or decreased.

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Introduction: Although previous studies have analyzed trends in asthma prevalence among adolescents before and during the COVID-19 pandemic, research specifically investigating asthma prevalence after the pandemic is lacking. Therefore, this study aims to analyze the long-term trends and the impact of the COVID-19 pandemic on the prevalence of asthma among Korean adolescents.

Methods: Data were collected from a nationwide representative study (Korean Youth Risk Behavior Web-based Survey), conducted among adolescents aged 12-18 years from 2007 to 2023.

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Background: Hypertension, a significant risk factor for global public health, is well-known to be preventable and manageable through physical activity (PA). However, many studies suggest that excessive PA may not provide additional benefits. Thus, we aimed to conduct a quantitative analysis of the relationship between hypertension and PA levels.

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Background: Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. Machine learning (ML) systems can enhance DR in community-based screening. However, predictive power models for usability and performance are still being determined.

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Background: Deaths related to falls are a substantial public health problem worldwide, and insight into trends and differences in global fall-related deaths can be valuable for identifying prevention strategies and developing effective policies. Thus, we aimed to estimate global fall-related mortality rate trends and forecast future fall-related deaths.

Methods: In this global time-series analysis and modelling study, we investigated temporal trends in fall-related mortality rates from 1990 to 2021 using the WHO Mortality Database, following the GATHER guidelines, and forecasted trends until 2040 across 59 high-income and upper-middle-income countries.

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Sodium-glucose co-transporter 2 inhibitors, such as enavogliflozin, offer promising metabolic benefits for patients with type 2 diabetes (T2D), including glycemic control and improved cardiac function. Despite the clinical evidence, real-world evidence is needed to validate their safety and effectiveness. This study aims to evaluate the effects of weight loss and safety of enavogliflozin administration in patients with T2D in a real-world clinical setting over 24 weeks.

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