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"Metabolic Syndrome X"

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"Metabolic Syndrome X"

Original Articles
Background

The prevalence of metabolic syndrome (MetS) has risen rapidly worldwide, including in South Korea. Factors related to lifestyle are closely associated with the development of MetS. The aim of this study was to investigate the association between MetS and a number of factors positively influencing health, namely non-smoking, low-risk drinking, sufficient sleep, regular exercise, and the habit of reading food labels, among Korean men.

Methods

This cross-sectional study included 3,869 men from the 2007–2009 Korean National Health and Nutrition Examination Survey. Information on five factors positively influencing their health was obtained using a self-reported questionnaire. We categorized subjects into four groups, depending on the number of positive factors reported (group I, 0–1 factor; group II, 2 factors; group III, 3 factors; group IV, 4–5 factors).

Results

Men who reported a greater number of positive health factors had better laboratory and anthropometric values than men who reported fewer positive health factors. The prevalence of MetS was 29.1, 27.2, 20.7, and 14.6% in groups I to IV, respectively. Compared to group I, odds ratios (95% confidence intervals) for MetS were 0.96 (0.78–1.19) in group II, 0.67 (0.52–0.87) in group III, and 0.52 (0.35–0.76) in group IV, after adjusting for confounding factors. Odds ratios for abdominal obesity, glucose intolerance, and hypertriglyceridemia were statistically significant.

Conclusion

A greater number of positive lifestyle factors influencing health were associated with a lower risk of developing MetS, in a nationally representative sample of Korean men.

Citations

Citations to this article as recorded by  
  • Association between Use of Nutritional Labeling and the Metabolic Syndrome and Its Components
    Hyung-sub Jin, Eun-bee Choi, Minseo Kim, Sarah Soyeon Oh, Sung-In Jang
    International Journal of Environmental Research and Public Health.2019; 16(22): 4486.     CrossRef
  • 7,210 View
  • 44 Download
  • 1 Web of Science
  • 1 Crossref
Associations between Metabolic Syndrome and Inadequate Sleep Duration and Skipping Breakfast
Nak-Hyun Kim, Dong Heon Shin, Hee-Tae Kim, Su Min Jeong, Su-Yeon Kim, Ki Young Son
Korean J Fam Med 2015;36(6):273-277.   Published online November 20, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.6.273
Background

The prevalence of metabolic syndrome is increasing worldwide, and previous studies have shown that inadequate sleep duration and skipping breakfast may be related to metabolic syndrome. Therefore, we investigated the effects of inadequate sleep and skipping breakfast on metabolic syndrome using data from the Korea National Health and Nutrition Examination Survey (KNHANES) IV & V reports (2007-2009 and 2010-2012, respectively).

Methods

The sample included 12,999 subjects who participated in the KNHANES IV & V. Sleep duration and breakfast eating were self-reported, and metabolic syndrome was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III guidelines. Subjects were divided into 12 groups according to breakfast eating and sleep duration patterns, and multiple logistic regression analyses adjusted for age, sex, household income, education level, smoking status, alcohol drinking, physical activity, and total daily energy intake were conducted.

Results

In subjects under 50 years of age, sleeping less than 6 hours was significantly associated with increased metabolic syndrome except among those who ate breakfast on only 1 of the past 2 days. In subjects over 50 years of age, sleeping less than 6 hours was significantly associated with a decreased risk of metabolic syndrome among those who ate breakfast on both days.

Conclusion

In conclusion, significant associations between metabolic syndrome and sleep duration were identified, and these associations differed according to age group.

Citations

Citations to this article as recorded by  
  • Sleep duration, daytime napping and the risk of incident metabolic syndrome vary by age and sex: findings from the China health and retirement longitudinal study
    Bowen Zhang, Weijia Liu, Jingrui Wang, Lulu Zhang, Ke Wang, Peixi Wang
    BMC Public Health.2025;[Epub]     CrossRef
  • Cumulative circadian disruption factors and metabolic syndrome
    Jungun Lee
    Korean Journal of Family Medicine.2025; 46(3): 125.     CrossRef
  • Effects of sleep on breakfast behaviors in recently unemployed adults
    Leah C. Callovini, Darlynn M. Rojo-Wissar, Candace Mayer, David A. Glickenstein, Avinash J. Karamchandani, Kevin K. Lin, Cynthia A. Thomson, Stuart F. Quan, Graciela E. Silva, Patricia L. Haynes
    Sleep Health.2024; 10(1): 114.     CrossRef
  • The Relationship between Breakfast and Sleep and Cardiovascular Risk Factors
    Yejin Kim, Hye-Ji An, Young-Gyun Seo
    Nutrients.2023; 15(21): 4596.     CrossRef
  • Trends in Dietary Behavior Changes by Region using 2008 ~ 2019 Community Health Survey Data
    Yun-Hui Jeong, Hye-Young Kim, Hae-Young Lee
    Korean Journal of Community Nutrition.2022; 27(2): 132.     CrossRef
  • Association of Dietary Behaviors with Poor Sleep Quality and Increased Risk of Obstructive Sleep Apnea in Korean Military Service Members
    Yujin Choi, Byunwoo Son, Woo-Chul Shin, Seong-uk Nam, Jaehong Lee, Jinwoong Lim, Sungha Kim, Changsop Yang, Hyeonhoon Lee
    Nature and Science of Sleep.2022; Volume 14: 1737.     CrossRef
  • Sleep duration and metabolic syndrome: An updated systematic review and meta-analysis
    Jing Xie, Yun Li, Yajun Zhang, Alexandros N. Vgontzas, Maria Basta, Baixin Chen, Chongtao Xu, Xiangdong Tang
    Sleep Medicine Reviews.2021; 59: 101451.     CrossRef
  • Relationship between Breakfast Absence Frequency and Intake of Nutritional Supplements in Koreans
    Seong Gyu Lim, Chan Mi Lee, Min Ho Kim, Hye Jin Han, Youn Hae Park, Yong Hwan Lim, Na Yeon Kim, Young Joong Kim, Jong Park, So Yeon Ryu
    Journal of Health Informatics and Statistics.2021; 46(2): 188.     CrossRef
  • The Association between Sleep Duration and Dizziness in Korean Women: The Korea National Health and Nutrition Examination Survey
    Se-Hwan Hwang, Jun-Myung Kang, Jae-Hyun Seo, Kyung-do Han, Young-Hoon Joo
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • The severity of periodontitis and metabolic syndrome in Korean population: The Dong‐gu study
    O. S. Kim, M. H. Shin, S. S. Kweon, Y. H. Lee, O. J. Kim, Y. J. Kim, H. J. Chung
    Journal of Periodontal Research.2018; 53(3): 362.     CrossRef
  • Sleep, Diet, and Cardiometabolic Health Investigations: a Systematic Review of Analytic Strategies
    Erica C. Jansen, Galit Levi Dunietz, Maria-Efstratia Tsimpanouli, Heidi M. Guyer, Carol Shannon, Shelley D. Hershner, Louise M. O’Brien, Ana Baylin
    Current Nutrition Reports.2018; 7(4): 235.     CrossRef
  • Mediation analysis of dietary habits, nutrient intakes, daily life in the relationship between working hours of Korean shift workers and metabolic syndrome : the sixth (2013 ~ 2015) Korea National Health and Nutrition Examination Survey
    Yoona Kim, Hyeon Hee Kim, Dong Hoon Lim
    Journal of Nutrition and Health.2018; 51(6): 567.     CrossRef
  • Association between siesta (daytime sleep), dietary patterns and the presence of metabolic syndrome in elderly living in Mediterranean area (MEDIS study): The moderating effect of gender
    E.N. Georgousopoulou, N. Naumovski, D.D. Mellor, S. Tyrovolas, S. Piscopo, G. Valacchi, N. Tsakountakis, A. Zeimbekis, V. Bountziouka, E. Gotsis, G. Metallinos, D. Tyrovola, J. Kellett, A. Foscolou, J.-A. Tur, A.-L. Matalas, C. Lionis, E. Polychronopoulos
    The Journal of nutrition, health and aging.2017; 21(10): 1118.     CrossRef
  • Effect of various diets on biomarkers of the metabolic syndrome
    Harry Robberecht, Tess De Bruyne, Nina Hermans
    International Journal of Food Sciences and Nutrition.2017; 68(5): 627.     CrossRef
  • Impact of dietary intake, lifestyle and biochemical factors on metabolic health in obese adolescents
    I. Aldhoon-Hainerová, V. Hainer, H. Zamrazilová
    Nutrition, Metabolism and Cardiovascular Diseases.2017; 27(8): 703.     CrossRef
  • Obesity and Circadian System
    Binnur Okan Bakir
    Advances in Obesity, Weight Management & Control.2017;[Epub]     CrossRef
  • Energy and Nutrient Timing for Weight Control
    Megan A. McCrory, Ayla C. Shaw, Joy A. Lee
    Endocrinology and Metabolism Clinics of North America.2016; 45(3): 689.     CrossRef
  • Analysis of Dietary Inflammatory Index of Metabolic Syndrome in Korean : Data from the Health Examinee Cohort (2012-2014)
    Mi-Sung Kim, Cheong-Min Sohn
    Korean Journal of Human Ecology.2016; 25(6): 823.     CrossRef
  • The Effects of Shift Work and Hours of Sleep on Metabolic Syndrome in Korean Workers
    Hyunju Park
    Korean Journal of Occupational Health Nursing.2016; 25(2): 96.     CrossRef
  • 7,875 View
  • 76 Download
  • 12 Web of Science
  • 19 Crossref
Time to First Cigarette and Hypertension in Korean Male Smokers
Saerom Lee, Miae Jang, Hye-Mi Noh, Hye-Young Oh, Hong Ji Song, Kyung Hee Park, Yu-Jin Paek
Korean J Fam Med 2015;36(5):221-226.   Published online September 18, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.5.221
Background

Morning blood pressure surge affects to cardiovascular disease risk. Short time to first cigarette (TTFC) after waking can enhance morning blood pressure surge, and accelerate atherosclerosis

Methods

We investigated that the relationship between TTFC and blood pressure. The study subjects included male current smokers (n=211) who had health check-up in Hallym University Sacred Heart Hospital from July to September, 2014. We categorized the subjects into 2 groups according to TTFC; early TTFC (TTFC <30 minutes) and late TTFC (TTFC ≥30 minutes), and the subjects who were taking antihypertensive medications or had a high blood pressure (>140 mm Hg or 90 mm Hg) were defined as hypertensive group. Multivariate logistic regression was performed to estimate the odds ratio and 95% confidence interval to investigate the association between TTFC and hypertensive group.

Results

Compared with late TTFC, early TTFC had higher odds (odds ratio [OR], 3.87; 95% confidence interval [CI], 1.89-7.94) for hypertensive group. After adjusting confounding factors, early TTFC was significantly associated with an increased risk of hypertension (OR, 4.43; 95% CI, 1.84-10.70).

Conclusion

early TTFC after waking is associated with hypertension. It suggests delaying TTFC might help to control of blood pressure among the current smokers who are not ready to immediately quit smoking.

Citations

Citations to this article as recorded by  
  • Association of smoking behavior and time to first cigarette with all-cause and cause-specific mortality: A cohort analysis from the NHANES 2001–2018
    Naiyue Bao, Jiacan Wu, Zhuo Li, Fenglin Qi, Guanghong Tao, Chengcheng Li, Hua Xiao
    Tobacco Induced Diseases.2026; 24(February): 1.     CrossRef
  • Time to first cigarette after waking and risk of incident chronic respiratory diseases in males: A prospective national cohort study
    Jianping Liu, KaiWang Cui, Xia Luo, xiangwen gong, Yong Liu
    Tobacco Induced Diseases.2026; 24(July): 1.     CrossRef
  • Smoking Timing, Healthy Diet, and Risk of Incident CKD Among Smokers: Findings From UK Biobank
    Rui Tang, Ying Hu, Jian Zhou, Xuan Wang, Xiang Li, Yoriko Heianza, Lu Qi
    American Journal of Kidney Diseases.2024; 84(5): 593.     CrossRef
  • Time from waking to the first cigarette and mortality and incident cardiovascular disease
    Yanzhi Li, Wenjian Lai, Hao Zhao, Xiali Zhong, Lan Guo
    Journal of Public Health.2024; 46(4): 487.     CrossRef
  • Alcohol and Nicotine Dependence and Time to Death in a General Adult Population: A Mortality Cohort Study
    Ulrich John, Hans-Jürgen Rumpf, Monika Hanke, Christian Meyer
    European Addiction Research.2023; 29(6): 394.     CrossRef
  • Time to First Cigarette and the Risk of Hypertension: A Nationwide Representative Study in Korea
    Jinok Bae, Yu Hyeon Yi, Yun Jin Kim, Jeong Gyu Lee, Young Jin Tak, Seung Hoon Lee, Hye Rim Hwang, Sang Yeoup Lee, Young Hye Cho, Ei Jin Ro
    American Journal of Hypertension.2019; 32(2): 202.     CrossRef
  • Comments on Statistical Issues in November 2015
    Kyung Do Han, Yong Gyu Park
    Korean Journal of Family Medicine.2015; 36(6): 357.     CrossRef
  • 6,409 View
  • 30 Download
  • 7 Web of Science
  • 7 Crossref
The Relationship between Smoking Level and Metabolic Syndrome in Male Health Check-up Examinees over 40 Years of Age
Gwang-Yul Hwang, Yoon-Jeong Cho, Rae-Ho Chung, Sung-Hi Kim
Korean J Fam Med 2014;35(5):219-226.   Published online September 24, 2014
DOI: https://doi.org/10.4082/kjfm.2014.35.5.219
Background

The objective of this study was to investigate the relationship between smoking and metabolic syndrome in men.

Methods

This cross-sectional study included 1,852 men over age 40 who underwent health screening from April 2009 to December 2010. We classified them into three smoking levels as non-, intermediate-, and heavy-smoker, considering their smoking status (non, ex, current) and amount (0, 1-29, ≥30 pack year [PYR]). The relationship between smoking level and metabolic syndrome was analyzed by logistic regression analysis, after covariates (age, body mass index, education, house income, alcohol intake, and physical activity) were controlled.

Results

The proportions of non-, intermediate-, and heavy-smokers were 31.8%, 56.2%, and 12.0%, respectively. Odds ratios (ORs) and 95% confidence intervals (95% CIs) for metabolic syndrome were 1.0, 1.58 (1.09-2.23), 1.92 (1.29-2.81) in non-, intermediate-, and heavy-smokers, respectively. For heavy-smokers compared with non-smokers, ORs and 95% CIs of a lower high density lipoprotein cholesterol, higher triglyceride, and higher fasting glucose were 2.47 (1.63-3.74), 1.71 (1.17-2.52), and 1.43 (1.02-2.00), respectively. In current-smokers, we divided into three subgroups according to PYR, and compared with 1-19 PYR, ORs and 95% CIs of 20-29 PYR and ≥30 PYR for metabolic syndrome were 2.07 (1.14-3.74) and 3.06 (1.66-5.62), respectively.

Conclusion

This study showed a positive dose-response relationship between smoking level and metabolic syndrome in men.

Citations

Citations to this article as recorded by  
  • Clustering of Lifestyle Behaviors and Their Association With Risk of Metabolic Syndrome Among Adults in Taiwan: Nationwide Cross-Sectional Study
    Ya-Hui Chang, Chung-Yi Li, Hon-Ping Ma, Chien-Yuan Wu, Yann-Yuh Jou, Chiachi Bonnie Lee
    JMIR Public Health and Surveillance.2025; 11: e73114.     CrossRef
  • Meta-analysis of the effects of smoking and smoking cessation on triglyceride levels
    Angela van der Plas, Meagan Antunes, Sandrine Pouly, Guillaume de La Bourdonnaye, Matthew Hankins, Annie Heremans
    Toxicology Reports.2023; 10: 367.     CrossRef
  • Association of environmental tobacco smoke exposure with metabolic syndrome: A longitudinal Cohort Study of 71,055 never smokers
    Hyo-In Choi, Seung Jae Lee, Jeong Gyu Kang, Sung Ho Lee, Bum Soo Kim, Byung Jin Kim
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(11): 2534.     CrossRef
  • The Effects of Smoking on Metabolic Syndrome and Its Components Using Causal Methods in the Iranian Population
    Farzad Khodamoradi, Maryam Nazemipour, Nasrin Mansournia, Kamran Yazdani, Davood Khalili, Mohammad Ali Mansournia
    International Journal of Preventive Medicine.2021;[Epub]     CrossRef
  • Predictive costs in medical care for Koreans with metabolic syndrome from 2009 to 2013 based on the National Health Insurance claims dataset
    Jeong Seon Yoo, Eun Yeong Choe, Yoo Mee Kim, Se Hwa Kim, Young Jun Won
    The Korean Journal of Internal Medicine.2020; 35(4): 936.     CrossRef
  • Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation
    Pablo Pérez-Martínez, Dimitri P. Mikhailidis, Vasilios G. Athyros, Mónica Bullo, Patrick Couture, María I. Covas, Lawrence de Koning, Javier Delgado-Lista, Andrés Díaz-López, Christian A. Drevon, Ramón Estruch, Katherine Esposito, Montserrat Fitó, Marta G
    Nutrition Reviews.2017; 75(5): 307.     CrossRef
  • Cigarette smoking/cessation and metabolic syndrome
    Genovefa D. Kolovou, Vana Kolovou, Sophie Mavrogeni
    Clinical Lipidology.2016; 11(1): 6.     CrossRef
  • Comparison of waist to height ratio and body indices for prediction of metabolic disturbances in the Korean population: the Korean National Health and Nutrition Examination Survey 2008–2011
    Seok Hui Kang, Kyu Hyang Cho, Jong Won Park, Jun Young Do
    BMC Endocrine Disorders.2015;[Epub]     CrossRef
  • 6,626 View
  • 30 Download
  • 6 Web of Science
  • 8 Crossref
Relationship between Metabolic Syndrome and Gallbladder Stone.
Jonguk Kim, Keunmi Lee
Korean J Fam Med 2009;30(8):610-616.   Published online August 20, 2009
DOI: https://doi.org/10.4082/kjfm.2009.30.8.610
Background
The prevalence of metabolic syndrome is increasing in Korea. The aim of this study was to establish if there is an association between the presence of metabolic syndrome and the development of gallbladder stones in Koreans.Methods: Among the subjects who visited a health promotion center of a general hospital from January 2001 to December 2005, a total of 34,574 adults was examined. Among them, the fi nal 34,470 adults (males 20,277, females 14,193) were included. Metabolic syndrome was defi ned if they fell under the three conditions of BMI ≥ 25 kg/m2, blood pressure ≥ 130/85 mmHg, fasting glucose 110 mg/dL, triglyceride ≥ 150 mmHg and low HDL-cholesterol (< 40 mg/dL in men, < 50 mg/dL in women). After adjusting for age and sex, logistic regression analysis was done to evaluate the relationship between metabolic syndrome and gallstones. Results: This study showed that the prevalence of metabolic syndrome was 17.6% (males 21.1%, females 12.4%). Gallbladder stone risk was increased according to BMI, high blood pressure, high fasting blood glucose and low HDL. Gallbladder stone risk was increased according to clustering of components of metabolic syndrome after adjustment for age and sex (1 criterion: OR = 1.42, 95% CI, 1.20-1.69, P = 0.000; 2 criterion: OR = 1.86, 95% CI, 1.57-2.21, P = 0.000; 3 criterion: OR = 2.02, 95% CI, 1.66-2.45, P = 0.000; 4 criterion: OR = 2.17, 95% CI, 1.66-2.85, P = 0.000; 5 criterion: OR = 2.17, 95% CI, 1.17-4.02, P < 0.014). Conclusion: Gallbladder stone risk was increased according to BMI, and increased with people who had combination of more metabolic syndrome components.

Citations

Citations to this article as recorded by  
  • Analysis of nursing notes and mapping of nursing surveillance activities for patients who underwent cholecystectomy in Korea: a retrospective descriptive study
    Se Young Kim, Chunseon Jang, Moon Kyung Lee, Ok-Ran Jeong, Eunsim Kim
    Journal of Korean Biological Nursing Science.2025; 27(3): 465.     CrossRef
  • Development of an Integrated Human Error Simulation Model in Nuclear Power Plant Decommissioning Activities
    Chang-Su Nam, Byung-Sik Lee, Doddy Kastanya
    Science and Technology of Nuclear Installations.2023; 2023: 1.     CrossRef
  • Relationship between Nutrient Intake and Hearing Loss According to the Income Level of Working-Aged Adults: A Korean National Health and Nutrition Survey
    Juhyung Lee, Ji-Hyeon Lee, Chulyoung Yoon, Chanbeom Kwak, Jae-Joon Ahn, Tae-Hoon Kong, Young-Joon Seo
    Nutrients.2022; 14(8): 1655.     CrossRef
  • Complex impacts of gallstone disease on metabolic syndrome and nonalcoholic fatty liver disease
    Jingting Lyu, Qinghong Lin, Zhongbiao Fang, Zeling Xu, Zhengtao Liu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Association between Metabolic Syndrome and Gallbladder Polyps in Healthy Korean Adults
    Eun Jung Park, Hong Soo Lee, Sang Hwa Lee, Hye Jin Chun, Sun Young Kim, Yu Kyung Choi, Hee Jeong Ryu, Kyung Won Shim
    Journal of Korean Medical Science.2013; 28(6): 876.     CrossRef
  • 3,622 View
  • 24 Download
  • 5 Crossref
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