A cohort study of the effects of social support on cerebral cardiovascular disease in subjects with metabolic syndrome.

Introduction: Previous studies have extensively examined the relationship between social support and various health outcomes. However, little is known about the distinct longitudinal associations between perceived social support and the development of cardiovascular events in patients with metabolic syndrome. In this cohort study, we investigated whether the levels of perceived social support in patients with metabolic syndrome were associated with an increased risk of cerebrovascular and cardiovascular events.

The Association between Social Support, Metabolic Syndrome, and Incidence of Cardio-Cerebrovascular Diseases in Older Adults: The ARIRANG Study.

Purpose: We investigated the association between social support, metabolic syndrome, and incident cardio-cerebrovascular disease (CCVD) in rural Koreans aged ≥50 years.

Materials And Methods: We conducted a prospective study using the Korean Genome and Epidemiology Study on Atherosclerosis Risk of Rural Areas in the Korean General Population (KoGES-ARIRANG) dataset. From the baseline of 5169 adults, 1682 participants were finally included according to the exclusion criteria.

Repeated measurements and mixture effects of urinary bisphenols, parabens, polycyclic aromatic hydrocarbons, and other chemicals on biomarkers of oxidative stress in pre- and postpartum women.

The association between oxidative stress and exposure to bisphenols, parabens, phenols, polycyclic aromatic hydrocarbons (PAH), and volatile organic compounds (VOCs) has been investigated by many in vitro and in vivo studies. However, most of these findings are based on cross-sectional studies, as a result of which the combined effects of these compounds have been rarely analyzed. In this study, our objective was to assess urinary bisphenols, parabens, PAHs, and VOCs, in relation to oxidative stress during pre-and postpartum periods, analyze the association between these chemicals and oxidative stress via repeated measurements using a linear mixed model (LMM), and evaluate the combined effects exerted by these chemicals on oxidative stress using Bayesian Kernel Machine Regression (BKMR).

Deep Learning Improves Prediction of Cardiovascular Disease-Related Mortality and Admission in Patients with Hypertension: Analysis of the Korean National Health Information Database.

Objective: The aim of this study was to develop, compare, and validate models for predicting cardiovascular disease (CVD) mortality and hospitalization with hypertension using a conventional statistical model and a deep learning model.

Methods: Using the database of Korean National Health Insurance Service, 2,037,027 participants with hypertension were identified. Among them, CVD (myocardial infarction or stroke) death and/or hospitalization that occurred within one year after the last visit were analyzed.

Handgrip Strength Cutoff Value Among Korean Adolescents with Metabolic Syndrome Components: Korean National Health and Nutrition Examination Survey Data 2014-2017.

To propose the cutoff value of handgrip strength (HGS) for each metabolic syndrome component in Korean adolescents. Total of 2303 adolescents (1226 boys and 1077 girls; age 10-18 years) who participated in the Korea National Health and Nutrition Examination Survey from 2014 to 2017. We used the International Diabetes Federation metabolic syndrome guideline for children to define metabolic syndrome.

Relationship Between Handgrip Strength and Laboratory Values in Adolescents With Non-Alcoholic Fatty Liver Disease.

Introduction: The worldwide prevalence of non-alcoholic fatty liver disease in adolescents is increasing. Measuring handgrip strength is a simple and non-invasive method for assessing sarcopenia in adolescents. However, the association between handgrip strength and laboratory values has not yet been evaluated in a clinical setting.

Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002-2017).

Hypertension and diabetes mellitus are major chronic diseases that are important factors in the management of cardiovascular disease. In order to prevent the occurrence of chronic diseases, proper health management through periodic health check-ups is necessary. The purpose of this study is to determine the incidence of hypertension and diabetes mellitus according to the health check-up, and to develop a predictive model for hypertension and diabetes according to the health check-up.

Prevalence and Complications of Glycogen Storage Disease in South Korea: A Nationwide Population-Based Study, 2007-2018.

Glycogen storage disease (GSD) is a rare disease that can cause life-threatening problems owing to metabolic errors in storing or using glycogen. The disease course of GSD remains unknown, despite medical technology advances. We determined the prevalence and complications of GSD using data from the National Health Insurance Service database.

Annual Incidence of Dementia from 2003 to 2018 in Metropolitan Seoul, Korea: A Population-Based Study.

National dementia plans were applied in dementia support centers established in Seoul, Korea between 2007 and 2009. However, the annual incidence rates of dementia in Seoul have not been reported. We investigated this annual incidence and the characteristics of incident cases from 2003 to 2018.

Pilot Project of Special Emergency Medical Service Team for Anaphylaxis in Gangwon-do, Korea: Results from an Online Questionnaire Survey.

Background: Early recognition and prompt intramuscular epinephrine administration are critical for the treatment of anaphylaxis. The special emergency medical service team (SEMST) is a reorganization plan that incorporates first-level emergency medical technicians (EMTs) and nurses from Korea to give the authority to administer epinephrine. This study evaluates the experience of SEMST and aims to investigate further needs in the pre-hospital management of anaphylaxis.