ArticlePloS one2017
Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 38 citations in OpenAlex.
- Vitamin D and Metabolic Syndrome: Molecular Mechanisms and Clinical Implications: A Narrative Review.International journal of molecular sciences · 2026Review
- Effect of morbidity on the association between lifestyle and mortality in the Health Examinee cohort.Epidemiology and health · 2026Article
- Additive interaction of conjoint tobacco smoking and heavy drinking on hypertension prevalence in rural Uganda: a community-based cross-sectional study.BMC public health · 2025Article
- Determinants of unhealthy living by gender, age group, and chronic health conditions across districts in Korea using the 2010-2017 Community Health Surveys.Epidemiology and health · 2024Article
- First Report on the Co-Occurrence and Clustering Profiles of Cardiovascular Lifestyle Risk Factors among Adults in Burkina Faso.International journal of environmental research and public health · 2022Article
- Article
- Sleep Characteristics According to Gender and Age Measured by Wrist Actigraphy.International journal of environmental research and public health · 2021Article
- Prevalence of metabolic syndrome, its risk factors and associated lifestyles in Myanmar adult people: A community based cross-sectional study.Metabolism open · 2021Article
- High Prevalence of Metabolic Syndrome and Its Related Demographic Factors in North of Iran: Results from the PERSIAN Guilan Cohort Study.International journal of endocrinology · 2021Article
- Article
- The Study of Clustering Effects of Behavior Risk Factors in Patients with Metabolic Syndrome in Southern China: A Cross-Sectional Study.Journal of diabetes research · 2020Article
- Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach.International journal of environmental research and public health · 2019Article
- Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study.BMC public health · 2019Article
- Lifestyle Risk Factors and All-Cause and Cardiovascular Disease Mortality: Data from the Korean Longitudinal Study of Aging.International journal of environmental research and public health · 2019Article
- Socio-economic and demographic characteristics associated with risk behaviour patterns for chronic non-communicable diseases in Brazil: data from the National Health Survey, 2013.Public health nutrition · 2019Article
- Effects of adults' health behaviors and combinations thereof on health outcomes: an analysis using National Health Insurance Service of Korea cohort data.Epidemiology and health · 2019Article
- Association between Serum Liver Enzymes and Metabolic Syndrome in Korean Adults.International journal of environmental research and public health · 2018Article
- Diets high in vegetables, fruits, cereals, and tubers as a protective factor for metabolic syndrome in bank employees.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018Article
- Dietary Patterns in Relation to Metabolic Syndrome among Adults in Poland: A Cross-Sectional Study.Nutrients · 2017Article
- Adolescents' healthy lifestyle.Jornal de pediatriaArticle
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to investigate the clustering pattern of four major lifestyle risk factors-smoking, heavy drinking, poor diet, and physical inactivity-among people with metabolic syndrome in South Korea. There were 2,469 adults with metabolic syndrome aged 30 years or older available with the 5th Korean National Health and Nutrition Examination Survey dataset. We calculated the ratio of the observed to expected (O/E) prevalence for the 16 different combinations and the prevalence odds ratios (POR) of four lifestyle risk factors. The four lifestyle risk factors tended to cluster in specific multiple combinations. Smoking and heavy drinking was clustered (POR: 1.86 for male, 4.46 for female), heavy drinking and poor diet were clustered (POR: 1.38 for male, 1.74 for female), and smoking and physical inactivity were also clustered (POR: 1.48 for male). Those who were male, younger, low-educated and living alone were much more likely to have a higher number of lifestyle risk factors. Some helpful implications can be drawn from the knowledge on clustering pattern of lifestyle risk factors for more effective intervention program targeting metabolic syndrome.
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