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3. Longitudinal changes in sleep and sleep-related symptoms among Korean adults between 2010 to 2022, including the COVID-19 pandemic period.

Author

Park, Hea Ree, Lee, Seo-Young, Moon, Hye-Jin, Kim, Jee Hyun, Cho, Jae Wook, Cho, Yong Won, Yun, Chang-Ho, Han, Su-Hyun, and Chu, Min Kyung

Subjects
SLEEP duration, SLEEP interruptions, SOMNOLOGY, COVID-19 pandemic, SLEEP, DROWSINESS
Abstract

Background and purpose: The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted people's lifestyles, changing sleep patterns. This study investigated changes in sleep patterns and disturbances in South Koreans over the past decade, including during the pandemic. Methods: We compared data from the Korean Sleep Headache Society Phase I survey (n = 2484; conducted in 2010) and the National Sleep Survey of South Korea 2022 (n = 3729; conducted in 2022), involving participants aged 20–69 years. Changes in sleep schedule, sleep duration, social jet lag, insomnia, and daytime sleepiness were explored. Results: Workday bedtimes were advanced and free-day bedtimes and workday and free-day waking times were delayed during the pandemic. Increased circadian preference for eveningness and social jet lag were noted. A significant decrease in sleep duration and sleep efficiency, along with an increased prevalence of insomnia and daytime sleepiness, was noted with age- and sex-specific variations. Conclusions: Over the past decade, including during the COVID-19 pandemic, sleep habits have changed significantly and sleep problems worsened. This study emphasize the need for more comprehensive public health strategies and research to facilitate sleep recovery in the post-pandemic period within a society known for its high prevalence of sleep deprivation. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness

Author

Lee,Min-Hee, Lee,Seung Ku, Thomas,Robert J, Yoon,Jee-Eun, Yun,Chang-Ho, Shin,Chol, Lee,Min-Hee, Lee,Seung Ku, Thomas,Robert J, Yoon,Jee-Eun, Yun,Chang-Ho, and Shin,Chol

Abstract

Min-Hee Lee,1 Seung Ku Lee,1 Robert J Thomas,2 Jee-Eun Yoon,3 Chang-Ho Yun,4,* Chol Shin1,5,* 1Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; 2Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; 3Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea; 4Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; 5Department of Pulmonary Sleep and Critical Care Medicine Disorder Center, College of Medicine, Korea University, Ansan, Republic of Korea*These authors contributed equally to this workCorrespondence: Chang-Ho YunDepartment of Neurology, Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam, 13620, Republic of KoreaTel +82 31 787 7469Fax +82 31 787 4059Email ych333@gmail.comChol ShinDivision of Pulmonary, Sleep, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital and Institute of Human Genomic Study, Korea University Ansan Hospital, 516, Gojan-1-dong, Danwon-gu, Ansan, Gyeonggi-do, 15355, Republic of KoreaTel +82 31 412 5541Fax +82 31 412 5604Email chol-shin@korea.ac.krPurpose: Obstructive sleep apnea (OSA) is associated with altered pairwise connections between brain regions, which might explain cognitive impairment and daytime sleepiness. By adopting a deep learning method, we investigated brain connectivity related to the severity of OSA and daytime sleepiness.Patients and Methods: A cross-sectional design applied a deep learning model on structural brain networks obtained from 553 subjects (age, 59.2 ± 7.4 years; men, 35.6%). The model performance was evaluated with the Pearson’s correlation coefficient (R) and probability of absolute error less than standard deviation (PAE

Published
2021

49. Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci

Author

Jones, Samuel E., Tyrrell, Jessica, Wood, Andrew R., Beaumont, Robin N., Ruth, Katherine S., Tuke, Marcus A., Yaghootkar, Hanieh, Hu, Youna, Teder-Laving, Maris, Hayward, Caroline, Roenneberg, Till, Wilson, James F., Del Greco, Fabiola, Hicks, Andrew A., Shin, Chol, Yun, Chang-Ho, Lee, Seung Ku, Metspalu, Andres, Byrne, Enda M., Gehrman, Philip R., Tiemeier, Henning, Allebrandt, Karla V., Freathy, Rachel M., Murray, Anna, Hinds, David A., Frayling, Timothy M., Weedon, Michael N., Epidemiology, Psychiatry, and Shi, Jianxin

Subjects
Male, lcsh:QH426-470, Physiology, Endocrine Disorders, Protein Serine-Threonine Kinases, Research and Analysis Methods, White People, Body Mass Index, PAX8 Transcription Factor, Endocrinology, Mathematical and Statistical Techniques, SDG 3 - Good Health and Well-being, Mental Health and Psychiatry, Medicine and Health Sciences, Genetics, Genome-Wide Association Studies, Diabetes Mellitus, Humans, Obesity, Statistical Methods, Biology and Life Sciences, Computational Biology, Human Genetics, Genomics, Mendelian Randomization Analysis, Genome Analysis, Type 2 Diabetes, Circadian Rhythm, Circadian Rhythms, lcsh:Genetics, Diabetes Mellitus, Type 2, Genetic Loci, Metabolic Disorders, Physical Sciences, Genetics of Disease, Schizophrenia, Female, Physiological Processes, Sleep, Chronobiology, Mathematics, Statistics (Mathematics), Research Article, Meta-Analysis, Genome-Wide Association Study
Abstract

Disrupted circadian rhythms and reduced sleep duration are associated with several human diseases, particularly obesity and type 2 diabetes, but until recently, little was known about the genetic factors influencing these heritable traits. We performed genome-wide association studies of self-reported chronotype (morning/evening person) and self-reported sleep duration in 128,266 white British individuals from the UK Biobank study. Sixteen variants were associated with chronotype (P, Author Summary Numerous studies have identified links between too little or too much sleep and circadian misalignment with metabolic disorders such as obesity and type 2 diabetes. However, cause-and-effect is not easily determined, because of multiple confounding factors affecting both sleep patterns and disease risk. Using the first release of the UK Biobank study, which combines detailed measurements and questionnaire data with genetic data, we investigate the genetics of two self-report sleep measures, chronotype and average sleep duration, in 128,266 white British individuals. We replicate previous genetic associations and identify seven and two novel genetic variants influencing chronotype and sleep duration, respectively. Associated variants are located near genes implicated in circadian rhythm regulation (RGS16, PER2), near a serotonin receptor gene (HTR6) and another gene (INADL) encoding a protein thought to be important in photosensitive retinal cells, cells known to communicate with the brain’s primary circadian pacemaker. Using the genetic risk factors, we estimate the unconfounded causal associations of BMI and type 2 diabetes on sleep patterns (and vice versa) through Mendelian Randomisation. However, we find no evidence for causal associations in either direction. The full UK Biobank release of 500,000 individuals will boost our power to detect causal associations.

Published
2016
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50. Gut-Specific Delivery of T-Helper 17 Cells Reduces Obesity and Insulin Resistance in Mice

Author

Hong, Chun-Pyo, primary, Park, Areum, additional, Yang, Bo-Gie, additional, Yun, Chang Ho, additional, Kwak, Min-Jung, additional, Lee, Gil-Woo, additional, Kim, Jung-Hwan, additional, Jang, Min Seong, additional, Lee, Eun-Jung, additional, Jeun, Eun-Ji, additional, You, Gihoon, additional, Kim, Kwang Soon, additional, Choi, Youngwoo, additional, Park, Ji-Hwan, additional, Hwang, Daehee, additional, Im, Sin-Hyeog, additional, Kim, Jihyun F., additional, Kim, Yoon-Keun, additional, Seoh, Ju-Young, additional, Surh, Charles D., additional, Kim, You-Me, additional, and Jang, Myoung Ho, additional

Published
2017
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