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Cheong C, Park J, Park J, Jo H, Lee K, Lee JH, Kim HJ, Choi Y, Kim H, Nehs CJ, Fond G, Boyer L, Rahmati M, Koyanagi A, Smith L, López Sánchez GF, Dragioti E, Woo S, Lee H, Kang J, Kim T, Yon DK. National trends in alcohol consumption, smoking, suicide attempts, and COVID-19 pandemic-related factors among South Korean adolescents, 2012-2022. Asian J Psychiatr 2024; 97:104085. [PMID: 38815441 DOI: 10.1016/j.ajp.2024.104085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/10/2024] [Accepted: 04/17/2024] [Indexed: 06/01/2024]
Affiliation(s)
- Chanyoung Cheong
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Junjae Park
- College of Pharmacy, Chungbuk National University, Cheongju, South Korea
| | - Hyesu Jo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Kyeongmin Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jun Hyuk Lee
- Health and Human Science, University of Southern California, Los Angeles, CA, USA
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Yujin Choi
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Korean Medicine, Kyung Hee University College of Korean Medicine, Seoul, South Korea
| | - Hyejun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Applied Information Engineering, Yonsei University, Seoul, South Korea
| | - Christa J Nehs
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Guillaume Fond
- Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, CEReSS-Health Service Research and Quality of Life Center, Marseille, France
| | - Laurent Boyer
- Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, CEReSS-Health Service Research and Quality of Life Center, Marseille, France
| | - Masoud Rahmati
- Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, CEReSS-Health Service Research and Quality of Life Center, Marseille, France; Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran; Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Guillermo Felipe López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
| | - Elena Dragioti
- Pain and Rehabilitation Centre, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden; Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Selin Woo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jiseung Kang
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Tae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
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Yoo SH, Kang J, Kim HJ, Lee SW, Hong M, Jung EH, Kim YJ, Yon DK, Kang B. Opioid use and subsequent delirium risk in patients with advanced cancer in palliative care: a multicenter registry study. Sci Rep 2024; 14:6004. [PMID: 38472471 PMCID: PMC10933309 DOI: 10.1038/s41598-024-56675-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/08/2024] [Indexed: 03/14/2024] Open
Abstract
The prevalent use of opioids for pain management in patients with advanced cancer underscores the need for research on their neuropsychiatric impacts, particularly delirium. Therefore, we aimed to investigate the potential association between opioid use and the risk of delirium in patients with advanced cancer admitted to the acute palliative care unit. We conducted a retrospective observational study utilizing a multicenter, patient-based registry cohort by collecting the data from January 1, 2019, to December 31, 2020, in South Korea. All data regarding exposures, outcomes, and covariates were obtained through retrospective chart reviews by a team of specialized medical professionals with expertise in oncology. Full unmatched and 1:1 propensity-score matched cohorts were formed, and stratification analysis was conducted. The primary outcome, delirium, was defined and diagnosed by the DSM-IV. Of the 2,066 patients with advanced cancer, we identified 42.8% (mean [SD] age, 64.4 [13.3] years; 60.8% male) non-opioid users and 57.2% (62.8 [12.5] years; 55.9% male) opioid users, respectively. Opioid use was significantly associated with an increased occurrence of delirium in patients with advanced cancer (OR, 2.02 [95% CI 1.22-3.35]). The risk of delirium in patients with advanced cancer showed increasing trends in a dose-dependent manner. High-dose opioid users showed an increased risk of delirium in patients with advanced cancer compared to non-opioid users (low-dose user: OR, 2.21 [95% CI 1.27-3.84]; high-dose user: OR, 5.75 [95% CI 2.81-11.77]; ratio of OR, 2.60 [95% CI 1.05-6.44]). Patients with old age, male sex, absence of chemotherapy during hospitalization, and non-obese status were more susceptible to increased risk of delirium in patients with cancer. In this multicenter patient-based registry cohort study, we found a significant, dose-dependent association between opioid use and increased risk of delirium in patients with advanced cancer. We also identified specific patient groups more susceptible to delirium. These findings highlight the importance of opioid prescription in these patients with advanced cancer, balancing effective doses for pain management and adverse dose-inducing delirium.
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Affiliation(s)
- Shin Hye Yoo
- Center for Palliative Care and Clinical Ethics, Seoul National University Hospital, Seoul, South Korea
| | - Jiseung Kang
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Si Won Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
- Palliative Cancer Center, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
| | - Moonki Hong
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
- Palliative Cancer Center, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
| | - Eun Hee Jung
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Yu Jung Kim
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Dong Keon Yon
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-Ro, Dongdaemun-Gu, Seoul, 02447, South Korea.
| | - Beodeul Kang
- Division of Medical Oncology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, South Korea.
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Lee H, Cho JK, Park J, Lee H, Fond G, Boyer L, Kim HJ, Park S, Cho W, Lee H, Lee J, Yon DK. Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts. J Med Internet Res 2024; 26:e51473. [PMID: 38354043 PMCID: PMC10902766 DOI: 10.2196/51473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 12/24/2023] [Accepted: 01/16/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Given the additional risk of suicide-related behaviors in adolescents with allergic rhinitis (AR), it is important to use the growing field of machine learning (ML) to evaluate this risk. OBJECTIVE This study aims to evaluate the validity and usefulness of an ML model for predicting suicide risk in patients with AR. METHODS We used data from 2 independent survey studies, Korea Youth Risk Behavior Web-based Survey (KYRBS; n=299,468) for the original data set and Korea National Health and Nutrition Examination Survey (KNHANES; n=833) for the external validation data set, to predict suicide risks of AR in adolescents aged 13 to 18 years, with 3.45% (10,341/299,468) and 1.4% (12/833) of the patients attempting suicide in the KYRBS and KNHANES studies, respectively. The outcome of interest was the suicide attempt risks. We selected various ML-based models with hyperparameter tuning in the discovery and performed an area under the receiver operating characteristic curve (AUROC) analysis in the train, test, and external validation data. RESULTS The study data set included 299,468 (KYRBS; original data set) and 833 (KNHANES; external validation data set) patients with AR recruited between 2005 and 2022. The best-performing ML model was the random forest model with a mean AUROC of 84.12% (95% CI 83.98%-84.27%) in the original data set. Applying this result to the external validation data set revealed the best performance among the models, with an AUROC of 89.87% (sensitivity 83.33%, specificity 82.58%, accuracy 82.59%, and balanced accuracy 82.96%). While looking at feature importance, the 5 most important features in predicting suicide attempts in adolescent patients with AR are depression, stress status, academic achievement, age, and alcohol consumption. CONCLUSIONS This study emphasizes the potential of ML models in predicting suicide risks in patients with AR, encouraging further application of these models in other conditions to enhance adolescent health and decrease suicide rates.
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Affiliation(s)
- Hojae Lee
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Joong Ki Cho
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, United States
| | - Jaeyu Park
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Hyeri Lee
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Guillaume Fond
- Assistance Publique-Hôpitaux de Marseille, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | - Laurent Boyer
- Assistance Publique-Hôpitaux de Marseille, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | - Hyeon Jin Kim
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Seoyoung Park
- Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea
| | - Wonyoung Cho
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea
| | - Jinseok Lee
- Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea
- Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea
| | - Dong Keon Yon
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Pediatrics, Kyung Hee University College of Medicine, Seoul, Republic of Korea
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Choi Y, Kim HJ, Park J, Lee SW, Rahmati M, Koyanagi A, Smith L, Kim MS, López Sánchez GF, Dragioti E, Lee J, Rhee SY, Kim S, Lim H, Yon DK. National prevalence and trends in food labeling awareness, comprehension, usage, and COVID-19 pandemic-related factors in South Korea, 2014-2022. Sci Rep 2024; 14:2617. [PMID: 38297021 PMCID: PMC10831073 DOI: 10.1038/s41598-024-51948-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 01/11/2024] [Indexed: 02/02/2024] Open
Abstract
Although food labeling on food packages is crucial for promoting a healthy diet, limited research has been conducted on how the COVID-19 pandemic (hereinafter "the pandemic") has affected food labeling awareness. Therefore, this study aims to analyze the changes in trends in food labeling awareness, comprehension, and usage in South Korea during the pandemic. We utilized a nationwide, large-scale, and long-term dataset provided by the Korea Community Health Survey (KCHS) from 2014 to 2022 (total = 1,756,847 participants). This allowed the researchers to assess the long-term trends in the prevalence of food labeling awareness, comprehension, and usage. Furthermore, we investigated the factors associated with awareness specifically related to the pandemic. In total, 1,756,847 adults (54.19% women) participated in this study. The upward slope in overall food labeling awareness became less pronounced and even exhibited a downward slope during the pandemic (βdiff - 1.759; 95% CI - 1.874 to - 1.644). The upward slope in food labeling comprehension and usage became more pronounced during the pandemic (comprehension: βdiff 0.535; 95% CI 0.436-0.634; usage: βdiff 0.693; 95% CI 0.601-0.785). The vulnerability factors associated with lower food labeling awareness during the pandemic included older age, male, obesity, residing in rural areas, lower household income, lower educational level, smoking, and increased alcohol consumption. This study analyzed the 9-year trend in the prevalence of food labeling awareness, comprehension, and usage based on nationally representative data of adults in South Korea from 2014 to 2022. Our findings suggest that personalized nutrition strategies are needed to recognize vulnerable groups with risk factors and improve food labeling awareness among Korean adults during the pandemic.
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Affiliation(s)
- Yujin Choi
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Korean Medicine, Kyung Hee University College of Korean Medicine, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Seung Won Lee
- Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Masoud Rahmati
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Guillermo F López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
| | - Elena Dragioti
- Pain and Rehabilitation Centre, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
- Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Jinseok Lee
- Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea
| | - Sang Youl Rhee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, South Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hyunjung Lim
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, South Korea.
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, 23 Kyungheedae-Ro, Dongdaemun-Gu, Seoul, 02447, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
- Department of Pediatrics, Kyung Hee University College of Medicine, 23 Kyungheedae-Ro, Dongdaemun-Gu, Seoul, 02447, South Korea.
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Kang J, Park J, Lee M, Kim HJ, Kwon R, Kim S, Rahmati M, Ai K, Smith L, Kim MS, Cho SH, Kim T, Yon DK. National Trends and Prevalence of Atopic Dermatitis and Pandemic-Related Factors among Korean Adults, 2007-2021. Int Arch Allergy Immunol 2024; 185:320-333. [PMID: 38246157 PMCID: PMC11126200 DOI: 10.1159/000535666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 11/28/2023] [Indexed: 01/23/2024] Open
Abstract
INTRODUCTION Previous studies have variably reported inconclusive trends in the prevalence of atopic dermatitis (AD) among adults, and there are limited data on the impact of the COVID-19 pandemic. We aimed to investigate the national trends and age-stratified prevalence of AD among adults from 2007 to 2021 in South Korea, focusing mainly on the impact of the COVID-19 pandemic-related factors. METHODS A nationwide cross-sectional study was conducted using the Korea National Health and Nutrition Examination Survey data from 2007 to 2021. Overall and age-stratified prevalence for AD were assessed using weighted beta coefficients or odds ratios. RESULTS A total of 83,566 adults over 20 years (male, 49.40%) were included. During the observation period, the prevalence of AD was stable in the overall population from 2.61% (95% CI, 2.29-2.93) in 2007-2009 to 2.15% (1.68-2.63) in 2020 and 2.38% (1.81-2.95) in 2021. However, the weighted prevalence of AD in adults aged 40-59 years old decreased during the pre-pandemic era, and the prevalence of AD in adults aged above 60 years significantly decreased during the pandemic, with a significant decline observed after the initial outbreak. From age-stratification analysis, the adults aged 40-59 years showed a significant increase after the pandemic outbreak which was evident in specific variables: individuals with rural residence, lower education, and lower household income quartiles. Adults aged above 60 years showed a significant decrease in the slope after the outbreak, evident in specific variables: individuals of female, rural residence, lower education, and lower household income quartiles. CONCLUSION We observed a stable overall prevalence of AD throughout the 15-year observation period. However, the age-stratified analysis suggested significantly different trends according to age-stratified groups and the impact of the COVID-19 pandemic on the prevalence of AD.
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Affiliation(s)
- Jiseung Kang
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Rosie Kwon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Masoud Rahmati
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Koyanagi Ai
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Seong H. Cho
- Division of Allergy and Immunology, Department of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Tae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
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Lee M, Lee H, Park J, Kim HJ, Kwon R, Lee SW, Kim S, Koyanagi A, Smith L, Kim MS, Fond G, Boyer L, Rahmati M, Rhee SY, Yon DK. Trends in hypertension prevalence, awareness, treatment, and control in South Korea, 1998-2021: a nationally representative serial study. Sci Rep 2023; 13:21724. [PMID: 38066091 PMCID: PMC10709599 DOI: 10.1038/s41598-023-49055-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 12/04/2023] [Indexed: 12/18/2023] Open
Abstract
The impact of the pandemic on hypertension management is unknown, particularly regarding changes in demographic risk factors. We conducted a comprehensive study between 1998 and 2021 on the long-term trends in hypertension prevalence in South Korea, including a comparison of the pre-pandemic and pandemic eras. Data from 1998 to 2021 of 108,687 Korean adults were obtained through a nationwide, large-scale, and serial study. We conducted a weighted complex sampling analysis on the estimates of national prevalence and compared the slope of hypertension prevalence before and during the pandemic to determine the trend dynamics. We included 108,687 participants over 24 years, 1998-2021. While the prevalence of patients with hypertension consistently increased before the pandemic from 25.51% [95% CI: 24.27-26.75] in 1998-2005 to 27.81% [95% CI: 26.97-28.66] in 2016-2019, the increasing slope in hypertension prevalence slowed during the pandemic period (28.07% [95% CI: 26.16-29.98] for 2021; βdiff, -0.012 [-0.023 to 0.000]). Hypertension awareness, treatment, control, and control rates among patients receiving treatment followed similar trends. Compared to the pre-pandemic era, individuals aged 19-59 years or male had significantly increased control rates among the treated patients during the pandemic. This study investigated long-term trends in hypertension prevalence, awareness, treatment, and control among Korean adults. The absence of a reduction in the health indicators associated with hypertension during the pandemic implies that medical services for individuals with hypertension remain unaffected.
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Affiliation(s)
- Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hojae Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Rosie Kwon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Seung Won Lee
- Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Min Seo Kim
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Guillaume Fond
- Assistance Publique-Hôpitaux de Marseille, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | - Laurent Boyer
- Assistance Publique-Hôpitaux de Marseille, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | - Masoud Rahmati
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran.
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran.
| | - Sang Youl Rhee
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
- Department of Endocrinology and Metabolism, Kyung Hee University College of Medicine, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
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Oh J, Lee M, Lee H, Yang H, Park J, Rahmati M, Koyanagi A, Smith L, Fond G, Boyer L, Kim MS, Lee SW, López Sánchez GF, Dragioti E, Woo HG, Yon DK. Hand and Oral Hygiene Practices of South Korean Adolescents Before and During the COVID-19 Pandemic. JAMA Netw Open 2023; 6:e2349249. [PMID: 38147331 PMCID: PMC10751599 DOI: 10.1001/jamanetworkopen.2023.49249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 11/10/2023] [Indexed: 12/27/2023] Open
Abstract
Importance Only a few studies have examined the long-term trends of hand and oral hygiene, especially among adolescents. Objective To investigate the 15-year trends in frequency of handwashing and toothbrushing and examine the factors associated with hand and oral hygiene, particularly during the COVID-19 pandemic. Design, Setting, and Participants This cross-sectional study, performed from January 1, 2008, to December 31, 2022, used general population-based data from 963 644 individuals in a national representative survey (Korea Youth Risk Behavior Web-based Survey [KYRBS]). Exposure COVID-19 pandemic. Main Outcomes and Measures Trends in hand and oral hygiene practices were measured by how frequently adolescents washed their hands and whether they fulfilled the recommended guidelines for toothbrushing. An interrupted time series analysis using linear and logistic regression models was performed to assess any associations with the COVID-19 pandemic. Hand and oral hygiene behaviors before and during the pandemic in each sociodemographic subgroup were also compared. Results In the 963 644 adolescents (495 697 [51.4%] male; mean [range] age, 15.01 [12-18] years) who participated in the KYRBS from 2008 to 2022, a 73.3% (95% CI, 59.4%-97.4%; P < .001) immediate increase was seen in overall hand hygiene behavior at the onset of the COVID-19 pandemic compared with the prepandemic period, with a sustained decrease thereafter (β = -0.018; 95% CI, -0.022 to -0.015; P < .001). Meanwhile, no immediate increase was observed in terms of overall oral hygiene behavior (0.1%; 95% CI, -0.9% to 1.1%; P = .82); however, there was a sustained decrease during the pandemic (β = -0.018; 95% CI, -0.020 to -0.016; P < .001). Older age, female sex, nonsmoking status, alcohol use, low household economic level, and poor school performance were significantly associated with poor hand hygiene during the pandemic. Conclusions and Relevance In this cross-sectional study of South Korean adolescents, an increase in the prevalence of hand hygiene was observed during the early pandemic; however, this prevalence decreased over time. Meanwhile, the decrease in the prevalence of oral hygiene was more pronounced during the pandemic. This study recommends stronger guidelines for adolescent health coaches, such as teachers or public health advisers, regarding hygiene behaviors, even after the COVID-19 pandemic ends.
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Affiliation(s)
- Jiyeon Oh
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hojae Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hwi Yang
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Masoud Rahmati
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
| | - Guillaume Fond
- CEReSS-Health Service Research and Quality of Life Center, Aix-Marseille University, Marseille, France
| | - Laurent Boyer
- CEReSS-Health Service Research and Quality of Life Center, Aix-Marseille University, Marseille, France
| | - Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Seung Won Lee
- Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Guillermo F. López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
| | - Elena Dragioti
- Pain and Rehabilitation Centre, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
- Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Ho Geol Woo
- Department of Neurology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Dong Keon Yon
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
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Park J, Lee M, Lee H, Kim HJ, Kwon R, Yang H, Lee SW, Kim S, Rahmati M, Koyanagi A, Smith L, Kim MS, Jacob L, López Sánchez GF, Elena D, Shin JI, Rhee SY, Yoo MC, Yon DK. National trends in rheumatoid arthritis and osteoarthritis prevalence in South Korea, 1998-2021. Sci Rep 2023; 13:19528. [PMID: 37945633 PMCID: PMC10636038 DOI: 10.1038/s41598-023-46279-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023] Open
Abstract
Studies on the trends in the prevalence of rheumatoid arthritis (RA) and osteoarthritis (OA) are limited, particularly during the COVID-19 pandemic. This study aimed to analyze the temporal trend of RA and OA in South Korean adults from 1998 to 2021, including the COVID-19 pandemic period. The Korea National Health and Nutrition Examination Survey (KNHANES) data on adults aged ≥ 19 years were analyzed to investigate the prevalence of RA and OA from 1998 to 2021. The prevalence trends were compared by the years, and βdiff (β difference) was calculated. Odds ratios (ORs) were computed for each disease to examine changes in disease prevalence before and during the pandemic in order to determine the impact of the pandemic on disease prevalence. Among 163,221 Korean adults, the prevalence of RA and OA showed a steady decrease from 2005 (RA: from 1.91% in 2005-2007 to 1.55% in 2016-2019 and OA: from 9.75% in 2005-2007 to 8.27% in 2016-2019), but there was a slight increased after the onset of the COVID-19 pandemic (RA: from 1.23% in 2020 to 1.36% in 2021 and OA: from 8.04% in 2020 to 8.27% in 2021). Vulnerable groups, including participants aged ≥ 60 years (versus 19-60 years, ratio of ORs: 1.222; 95% CI 1.011-1.477), urban residents (ratio of ORs: 1.289; 95% CI 1.007-1.650), and participants with higher education level (ratio of ORs: 1.360; 95% CI 1.119-1.653) showed higher ORs of OA, whereas no particularly vulnerable population was observed for RA. Our findings provide an insight into the long-term trends of RA and OA among adult population and highlight a novel perspective on the impact of COVID-19 on disease prevalence.
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Affiliation(s)
- Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hojae Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Rosie Kwon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hwi Yang
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Seung Won Lee
- Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Masoud Rahmati
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Louis Jacob
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
- Physical Medicine and Rehabilitation Department, Lariboisière-Fernand Widal Hospital, AP-HP, Paris, France
- Epidemiology of Ageing and Neurodegenerative Diseases, Université Paris-Cité, Paris, France
| | - Guillermo Felipe López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
| | - Dragioti Elena
- Pain and Rehabilitation Centre, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
- Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
| | - Sang Youl Rhee
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, South Korea
| | - Myung Chul Yoo
- Department of Rehabilitation Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-Ro, Dongdaemun-Gu, Seoul, 02447, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-Ro, Dongdaemun-Gu, Seoul, 02447, South Korea.
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9
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Kim Y, Kim S, Kim HJ, Kwon R, Kim MS, Kim S, Rhee SY, Yoon SY, Jeong K, Yon DK. National trends in body mass index, overweight, and obesity among adults before and during the COVID-19 pandemic in 2009-2021: A representative longitudinal serial study in South Korea. J Med Virol 2023; 95:e28958. [PMID: 37462220 DOI: 10.1002/jmv.28958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/20/2023] [Accepted: 07/05/2023] [Indexed: 07/20/2023]
Affiliation(s)
- Yeji Kim
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Soeun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Rosie Kwon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Min Seo Kim
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Sang Youl Rhee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, South Korea
| | - Soo-Young Yoon
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea
| | - Kyunghwan Jeong
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
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