CrossRef Text and Data Mining
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Clustering Characteristics of Risk Variables of Metabolic Syndrome in Korean Rural Populations.
Yong Moon Park, Hyuk Sang Kwon, Sun Young Lim, Jin Hee Lee, Sung Rae Kim, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Yong Gyu Park, Dong Suk Kim, Kwang ho Meng, Won Chul Lee
Diabetes Metab J. 2006;30(3):177-189.   Published online May 1, 2006

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Clustering Characteristics of Risk Variables of Metabolic Syndrome in Korean Rural Populations
The Journal of Korean Diabetes Association. 2006;30(3):177   Crossref logo
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Prevalence and Clinical Characteristics of Metabolic Syndrome for At-Risk People in a Rural Community
Metabolic Syndrome and Related Disorders. 2009;7(1):11-15   Crossref logo

Severity of Coronary Atherosclerosis; Influence of Metabolic Syndrome Risk Factor Clustering and hs-CRP
Korean Circulation Journal. 2006;36(12):802   Crossref logo
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Influence of central obesity on clustering of metabolic syndrome risk variables among normal-weight adults in a low-income rural Chinese population
Journal of Public Health. 2010;19(3):223-229   Crossref logo
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Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome
PLOS ONE. 2017;12(3):e0174567   Crossref logo

Prevalence and risk factors for diabetes, comparison of rural populations in Bangladesh, China and Pakistan
Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2009;3(2):109-112   Crossref logo
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The Metabolic Syndrome: Are Rural Residents at Increased Risk?
The Journal of Rural Health. 2012;29(2):188-197   Crossref logo
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Clustering of noncommunicable disease risk factors among adults (18–69 years) in rural population, South-India
Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020;14(5):1005-1014   Crossref logo
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Indian diabetes risk score and clustering of metabolic syndrome phenotype in a rural community of Asian Indian origin
Diabetes Research and Clinical Practice. 2016;112:44-49   Crossref logo
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Characteristics of metabolic syndrome based on clustering pattern among Korean adolescents: findings from the Korean National Health and Nutrition Examination Survey, 2007–2008
European Journal of Pediatrics. 2012;172(2):193-199   Crossref logo
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