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Items: 1 to 20 of 102

1.

Characteristics of metabolic syndrome based on clustering pattern among Korean adolescents: findings from the Korean National Health and Nutrition Examination Survey, 2007-2008.

Ko MJ, Lee EY, Kim K.

Eur J Pediatr. 2013 Feb;172(2):193-9. doi: 10.1007/s00431-012-1857-7. Epub 2012 Oct 23. Erratum in: Eur J Pediatr. 2013 Mar;172(3):423.

PMID:
23090659
2.

An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: a confirmatory factor analysis and a resulting continuous severity score.

Gurka MJ, Lilly CL, Oliver MN, DeBoer MD.

Metabolism. 2014 Feb;63(2):218-25. doi: 10.1016/j.metabol.2013.10.006. Epub 2013 Oct 24.

3.

Gender differences in the association of insulin resistance with metabolic risk factors among Korean adolescents: Korea National Health and Nutrition Examination Survey 2008-2010.

Kim HA, Lee SY, Kwon HS, Lee SH, Jung MH, Han K, Yim HW, Lee WC, Park YM.

Diabetes Res Clin Pract. 2013 Jan;99(1):54-62. doi: 10.1016/j.diabres.2012.10.011. Epub 2012 Oct 27.

PMID:
23107107
4.

High intraocular pressure is associated with cardiometabolic risk factors in South Korean men: Korean National Health and Nutrition Examination Survey, 2008-2010.

Kim YH, Jung SW, Nam GE, Do Han K, Bok AR, Baek SJ, Cho KH, Choi YS, Kim SM, Ju SY, Kim DH.

Eye (Lond). 2014 Jun;28(6):672-9. doi: 10.1038/eye.2014.43. Epub 2014 Mar 7.

5.

Usefulness of the metabolic syndrome criteria as predictors of insulin resistance among obese Korean women.

Lee K.

Public Health Nutr. 2010 Feb;13(2):181-6. doi: 10.1017/S1368980009991340. Epub 2009 Aug 26.

PMID:
19706218
6.

The clustering patterns of metabolic risk factors and its association with sub-clinical atherosclerosis in Korean population.

Yoon JH, Park JK, Oh SS, Lee KH, Kim SK, Kim JK, Kang HT, Youn YJ, Lee JW, Lee SH, Eom AY, Chung CH, Kim JY, Koh SB.

Ann Hum Biol. 2011 Sep;38(5):640-6. doi: 10.3109/03014460.2011.598188. Epub 2011 Jul 12.

PMID:
21745154
7.
8.

Relationship between high white blood cell count and insulin resistance (HOMA-IR) in Korean children and adolescents: Korean National Health and Nutrition Examination Survey 2008-2010.

Park JM, Lee DC, Lee YJ.

Nutr Metab Cardiovasc Dis. 2017 May;27(5):456-461. doi: 10.1016/j.numecd.2017.03.002. Epub 2017 Mar 10.

PMID:
28428029
10.

Waist-to-Height Ratio as an Index for Cardiometabolic Risk in Adolescents: Results from the 1998-2008 KNHANES.

Chung IH, Park S, Park MJ, Yoo EG.

Yonsei Med J. 2016 May;57(3):658-63. doi: 10.3349/ymj.2016.57.3.658.

11.

Levels of circulating selenoprotein P, fibroblast growth factor (FGF) 21 and FGF23 in relation to the metabolic syndrome in young children.

Ko BJ, Kim SM, Park KH, Park HS, Mantzoros CS.

Int J Obes (Lond). 2014 Dec;38(12):1497-502. doi: 10.1038/ijo.2014.45. Epub 2014 Mar 18.

PMID:
24638201
13.

High cardiometabolic risk in healthy Chilean adolescents: associations with anthropometric, biological and lifestyle factors.

Burrows R, Correa-Burrows P, Reyes M, Blanco E, Albala C, Gahagan S.

Public Health Nutr. 2016 Feb;19(3):486-93. doi: 10.1017/S1368980015001585. Epub 2015 May 20.

14.

Prevalence of insulin resistance and cardiometabolic risk in Korean children and adolescents: a population-based study.

Yi KH, Hwang JS, Kim EY, Lee SH, Kim DH, Lim JS.

Diabetes Res Clin Pract. 2014 Jan;103(1):106-13. doi: 10.1016/j.diabres.2013.10.021. Epub 2013 Nov 9.

PMID:
24290751
15.

Association between Obesity Indices and Insulin Resistance among Healthy Korean Adolescents: The JS High School Study.

Lim SM, Choi DP, Rhee Y, Kim HC.

PLoS One. 2015 May 13;10(5):e0125238. doi: 10.1371/journal.pone.0125238. eCollection 2015.

16.
17.

The Best Obesity Indices to Use in a Single Factor Model Indicating Metabolic Syndrome: a Population Based Study.

Motamed N, Zamani F, Rabiee B, Saeedian FS, Maadi M, Akhavan-Niaki H, Asouri M.

Arch Iran Med. 2016 Feb;19(2):110-5. doi: 0161902/AIM.008.

18.

Models Predictive of Metabolic Syndrome Components in Obese Pediatric Patients.

Ortega-Cortes R, Trujillo X, Hurtado López EF, López Beltrán AL, Colunga Rodríguez C, Barrera-de Leon JC, Tlacuilo-Parra A.

Arch Med Res. 2016 Jan;47(1):40-8. doi: 10.1016/j.arcmed.2016.01.003. Epub 2016 Jan 25.

PMID:
26820798
19.
20.

Insulin resistance is the best predictor of the metabolic syndrome in subjects with a first-degree relative with type 2 diabetes.

Utzschneider KM, Van de Lagemaat A, Faulenbach MV, Goedecke JH, Carr DB, Boyko EJ, Fujimoto WY, Kahn SE.

Obesity (Silver Spring). 2010 Sep;18(9):1781-7. doi: 10.1038/oby.2010.77. Epub 2010 Apr 8.

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