Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Author index

Page Path
HOME > Browse > Author index
Search
Seulggie Choi  (Choi S) 2 Articles
Cardiovascular Risk/Epidemiology
Pre-existing Depression among Newly Diagnosed Dyslipidemia Patients and Cardiovascular Disease Risk
Jihoon Andrew Kim, Seulggie Choi, Daein Choi, Sang Min Park
Diabetes Metab J. 2020;44(2):307-315.   Published online November 1, 2019
DOI: https://doi.org/10.4093/dmj.2019.0002
  • 5,186 View
  • 89 Download
  • 9 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Whether depression before diagnosis of dyslipidemia is associated with higher cardiovascular disease (CVD) risk among newly diagnosed dyslipidemia patients is yet unclear.

Methods

The study population consisted of 72,235 newly diagnosed dyslipidemia patients during 2003 to 2012 from the National Health Insurance Service–Health Screening Cohort of South Korea. Newly diagnosed dyslipidemia patients were then detected for pre-existing depression within 3 years before dyslipidemia diagnosis. Starting from 2 years after the diagnosis date, patients were followed up for CVD until 2015. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for CVD were calculated by Cox proportional hazards regression.

Results

Compared to dyslipidemia patients without depression, those with depression had higher risk for CVD (aHR, 1.24; 95% CI, 1.09 to 1.41). Similarly, pre-existing depression was associated with increased risk for stroke (aHR, 1.27; 95% CI, 1.06 to 1.53). The risk for CVD among depressed dyslipidemia patients for high (aHR, 1.42; 95% CI, 1.06 to 1.90), medium (aHR, 1.17; 95% CI, 0.91 to 1.52), and low (aHR, 1.25; 95% CI, 1.05 to 1.50) statin compliance patients tended to be increased compared to patients without pre-existing dyslipidemia. The risk-elevating effect of depression on CVD tended to be preserved regardless of subgroups of smoking, alcohol consumption, physical activity, and body mass index.

Conclusion

Dyslipidemia patients with pre-existing depression had increased risk for CVD. Future studies that determine CVD risk after management of depression among dyslipidemia patients are needed.

Citations

Citations to this article as recorded by  
  • Mediating effect of depression on the association between cardiovascular disease and the risk of all‐cause mortality: NHANES in 2005−2018
    Xinxin Ma, Huan Zhang, Yuan Tian, Yaping Wang, Ling Liu, Lei Wang
    Clinical Cardiology.2023; 46(11): 1380.     CrossRef
  • Associations of sleep duration, daytime napping, and snoring with depression in rural China: a cross-sectional study
    Xueyao Zhang, Guangxiao Li, Chuning Shi, Yingxian Sun
    BMC Public Health.2023;[Epub]     CrossRef
  • Association between socioeconomic inequality and the global prevalence of anxiety and depressive disorders: an ecological study
    Fatemeh Shahbazi, Marjan Shahbazi, Jalal Poorolajal
    General Psychiatry.2022; 35(3): e100735.     CrossRef
  • Impact of Alexithymia on the Lipid Profile in Major Depressed Individuals
    Camille Point, Benjamin Wacquier, Marjorie Dosogne, Mohammed Al Faker, Hadrien Willame, Gwenolé Loas, Matthieu Hein, Philip W. Wertz
    Journal of Lipids.2022; 2022: 1.     CrossRef
  • Association of Depression With Cardiovascular Diseases
    Zain I Warriach, Sruti Patel, Fatima Khan, Gerardo F Ferrer
    Cureus.2022;[Epub]     CrossRef
  • Fenofibrate add-on to statin treatment is associated with low all-cause death and cardiovascular disease in the general population with high triglyceride levels
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Metabolism.2022; 137: 155327.     CrossRef
  • Dyslipidemia prevalence and trends among adult mental disorder inpatients in Beijing, 2005–2018: A longitudinal observational study
    Fude Yang, Qiuyue Ma, Botao Ma, Wenzhan Jing, Jue Liu, Moning Guo, Juan Li, Zhiren Wang, Min Liu
    Asian Journal of Psychiatry.2021; 57: 102583.     CrossRef
  • Non-HDL cholesterol level and depression among Canadian elderly—a cross-sectional analysis of the baseline data from the CLSA
    Jian Liu, Surim Son, Mike Giancaterino, Chris P. Verschoor, Miya Narushima, David Moher
    FACETS.2020; 5(1): 1006.     CrossRef
Epidemiology
Association between Change in Alcohol Consumption and Metabolic Syndrome: Analysis from the Health Examinees Study
Seulggie Choi, Kyuwoong Kim, Jong-Koo Lee, Ji-Yeob Choi, Aesun Shin, Sue Kyung Park, Daehee Kang, Sang Min Park
Diabetes Metab J. 2019;43(5):615-626.   Published online April 23, 2019
DOI: https://doi.org/10.4093/dmj.2018.0128
  • 5,395 View
  • 86 Download
  • 14 Web of Science
  • 13 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

The association between change in alcohol intake and metabolic syndrome is unclear.

Methods

This retrospective cohort consisted of 41,368 males and females from the Health Examinees-GEM study. Participants were divided into non-drinkers (0.0 g/day), light drinkers (male: 0.1 to 19.9 g/day; female: 0.1 to 9.9 g/day), moderate drinkers (male: 20.0 to 39.9 g/day; female: 10.0 to 19.9 g/day), and heavy drinkers (male: ≥40.0 g/day; female: ≥20.0 g/day) for each of the initial and follow-up health examinations. Logistic regression analysis was used to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for developing metabolic syndrome according to the change in alcohol consumption between the initial and follow-up health examinations. Adjusted mean values for the change in waist circumference, fasting serum glucose (FSG), blood pressure, triglycerides, and high density lipoprotein cholesterol (HDL-C) levels were determined according to the change in alcohol consumption by linear regression analysis.

Results

Compared to persistent light drinkers, those who increased alcohol intake to heavy levels had elevated risk of metabolic syndrome (aOR, 1.45; 95% CI, 1.09 to 1.92). In contrast, heavy drinkers who became light drinkers had reduced risk of metabolic syndrome (aOR, 0.61; 95% CI, 0.44 to 0.84) compared to persistent heavy drinkers. Increased alcohol consumption was associated with elevated adjusted mean values for waist circumference, FSG, blood pressure, triglycerides, and HDL-C levels (all P<0.05). Reduction in alcohol intake was associated with decreased waist circumference, FSG, blood pressure, triglycerides, and HDL-C levels among initial heavy drinkers (all P<0.05).

Conclusion

Heavy drinkers who reduce alcohol consumption could benefit from reduced risk of metabolic syndrome.

Citations

Citations to this article as recorded by  
  • Inverse association between type 2 diabetes and hepatocellular carcinoma in East Asian populations
    Jinlong Huo, Yaxuan Xu, Xingqi Chen, Jie Yu, Lijin Zhao
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Regulation Mechanism and Potential Value of Active Substances in Spices in Alcohol–Liver–Intestine Axis Health
    Jianyu Huang, Tao Huang, Jinjun Li
    International Journal of Molecular Sciences.2024; 25(7): 3728.     CrossRef
  • Impact of green space and built environment on metabolic syndrome: A systematic review with meta-analysis
    Muhammad Mainuddin Patwary, Mohammad Javad Zare Sakhvidi, Sadia Ashraf, Payam Dadvand, Matthew H.E.M. Browning, Md Ashraful Alam, Michelle L. Bell, Peter James, Thomas Astell-Burt
    Science of The Total Environment.2024; 923: 170977.     CrossRef
  • Causal effects of sleep traits on metabolic syndrome and its components: a Mendelian randomization study
    Yongli Yang, Long Wen, Xuezhong Shi, Chaojun Yang, Jingwen Fan, Yi Zhang, Guibin Shen, Huiping Zhou, Xiaocan Jia
    Sleep and Breathing.2024;[Epub]     CrossRef
  • Use of biochemical markers for diabetes prevention in the new decade
    Marie Chan Sun, Marie A. S. Landinaff, Ruben Thoplan
    Physical Sciences Reviews.2023; 8(11): 3767.     CrossRef
  • Alcohol consumption and metabolic syndrome: Clinical and epidemiological impact on liver disease
    Fredrik Åberg, Christopher D. Byrne, Carlos J. Pirola, Ville Männistö, Silvia Sookoian
    Journal of Hepatology.2023; 78(1): 191.     CrossRef
  • Serum Nutritional Biomarkers and All-Cause and Cause-Specific Mortality in U.S. Adults with Metabolic Syndrome: The Results from National Health and Nutrition Examination Survey 2001–2006
    Xinwei Peng, Jingjing Zhu, Henry S. Lynn, Xi Zhang
    Nutrients.2023; 15(3): 553.     CrossRef
  • Evaluation and Treatment of Obesity and Its Comorbidities: 2022 Update of Clinical Practice Guidelines for Obesity by the Korean Society for the Study of Obesity
    Kyoung-Kon Kim, Ji-Hee Haam, Bom Taeck Kim, Eun Mi Kim, Jung Hwan Park, Sang Youl Rhee, Eonju Jeon, Eungu Kang, Ga Eun Nam, Hye Yeon Koo, Jeong-Hyun Lim, Jo-Eun Jeong, Jong-Hee Kim, Jong Won Kim, Jung Ha Park, Jun Hwa Hong, Sang Eok Lee, Se Hee Min, Seung
    Journal of Obesity & Metabolic Syndrome.2023; 32(1): 1.     CrossRef
  • Association between alcohol consumption and risk of hyperuricaemia among adults: a large cross-sectional study in Chongqing, China
    Siyu Chen, Rui Ding, Xiaojun Tang, Liling Chen, Qinwen Luo, Meng Xiao, Xianbin Ding, Bin Peng
    BMJ Open.2023; 13(12): e074697.     CrossRef
  • Lifestyle Factors Associated with Metabolic Syndrome in Urban Cambodia
    Miharu Tamaoki, Ikumi Honda, Keisuke Nakanishi, Maki Nakajima, Sophathya Cheam, Manabu Okawada, Hisataka Sakakibara
    International Journal of Environmental Research and Public Health.2022; 19(17): 10481.     CrossRef
  • Gender Differences of Health Behaviors in the Risk of Metabolic Syndrome for Middle-Aged Adults: A National Cross-Sectional Study in South Korea
    Jaehee Yoon, Jeewuan Kim, Heesook Son
    International Journal of Environmental Research and Public Health.2021; 18(7): 3699.     CrossRef
  • Association between alcohol consumption and metabolic syndrome among Chinese adults
    Yi Lin, Yan-Yan Ying, Si-Xuan Li, Si-Jia Wang, Qing-Hai Gong, Hui Li
    Public Health Nutrition.2021; 24(14): 4582.     CrossRef
  • Triglyceride-rich lipoprotein and LDL particle subfractions and their association with incident type 2 diabetes: the PREVEND study
    Sara Sokooti, Jose L. Flores-Guerrero, Hiddo J. L. Heerspink, Margery A. Connelly, Stephan J. L. Bakker, Robin P. F. Dullaart
    Cardiovascular Diabetology.2021;[Epub]     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal