8 results match your criteria: "Yonsei University. Electronic address: kohhj@yonsei.ac.kr.[Affiliation]"
The effect of body fatness on regional brain imaging markers and cognitive function in healthy elderly mediated by impaired glucose metabolism.
J Psychiatr Res
August 2021
Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea; Institute of Human Complexity and Systems Science, Yonsei University, Incheon, 21983, Republic of Korea. Electronic address:
Brain atrophy is related to vascular risk factors and can increase cognitive dysfunction risk. This community-based, cross-sectional study investigated whether glucose metabolic disorders due to body fatness are linked to regional changes in brain structure and a decline in neuropsychological function in cognitively healthy older adults. From 2016 to 2019, 429 participants underwent measurements for cortical thickness and subcortical volume using 3 T magnetic resonance imaging and for cognitive function using the neuropsychological screening battery.
View Article and Find Full Text PDFThe longitudinal effect of leisure time physical activity on reduced depressive symptoms: The ARIRANG Study.
J Affect Disord
March 2021
Department of Preventive Medicine, Wonju College of Medicine, Yonsei University; Institute of Occupational & Environmental Medicine, Wonju College of Medicine, Yonsei University. Electronic address:
Background: Depression is a serious mental condition and physical activity is known to be effective in alleviating it. This study for rural residents of South Korea investigated whether meeting the recommended amount of physical activity during leisure time (LTPA) can reduce the depressive symptoms.
Methods: A prospective study was conducted with 5,178 participants aged 20 years and over, and we analyzed 1,888 participants excluding those diagnosed with depression at baseline and those with insufficient data after an average of 5.
Deep learning models for the prediction of intraoperative hypotension.
Br J Anaesth
April 2021
Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. Electronic address:
Article Synopsis
- Intraoperative hypotension can lead to organ dysfunction after surgery, prompting researchers to create deep learning algorithms that predict this condition 5, 10, and 15 minutes before it occurs.
- The study analyzed biosignal waveforms from 3,301 noncardiac surgery patients, developing a binary classification model for hypotension and a regression model to estimate mean arterial pressure (MAP), showing promising predictive capabilities.
- Results indicated that multichannel models using various biosignals outperformed single-signal models in both invasive and non-invasive settings, suggesting that combined signals enhance prediction accuracy.
Exposure to pesticides and the prevalence of diabetes in a rural population in Korea.
Neurotoxicology
January 2019
Department of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea; Department of Preventive Medicine and Institute of Occupational and Environmental Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea; Institute of Genomic Cohort, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea; Center for Global Health and Social Medicine, Institute of Poverty Alleviation and International Development, Yonsei University, Wonju, Republic of Korea. Electronic address:
Background: Among the adverse health effects of exposure to pesticides, an association with diabetes has been reported. However, there is a lack of epidemiologic studies on the health effects of exposure to pesticides, particularly investigating the association between occupational pesticide exposure and diabetes prevalence.
Purpose: The present study examined the association between pesticide exposure and prevalence of diabetes in a rural population in Korea.
Contribution of obesity as an effect regulator to an association between serum leptin and incident metabolic syndrome.
Clin Chim Acta
December 2018
Institute of Genomic Cohort, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. Electronic address:
Background: We investigated whether serum leptin can be a predictor for incident cases of MetS in a population-based study.
Methods: This is a prospective cohort study of 1590 adults aged between 40 and 70 years, who did not have MetS in 2005-2008 (at baseline) and 2008-2011 (follow-up). The baseline serum leptin concentrations were measured by radioimmunoassay.
A prospective study of leucocyte mitochondrial DNA content and deletion in association with the metabolic syndrome.
Diabetes Metab
June 2017
Institute of Genomic Cohort, Yonsei University, Wonju, Republic of Korea. Electronic address:
A prospective study of total sleep duration and incident metabolic syndrome: the ARIRANG study.
Sleep Med
December 2015
Departments of Cardiology, Wonju College of Medicine, Yonsei University, Wonju, South Korea; Institute of Genomic Cohort, Yonsei University, Wonju, South Korea.
Background And Objective: Chronic sleep deprivation is increasingly common in industrialized societies. Recent data have revealed that chronic sleep deprivation is associated with negative health outcome. While prospective studies lack the predictive value of sleep duration to identify individuals at high risk of new-onset metabolic syndrome, total sleep duration may play a role in the development of metabolic abnormalities.
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