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Items: 1 to 20 of 37

1.

Hematologic parameters as the predictors for metabolic syndrome in perimenopausal and postmenopausal women living in urban area: a preliminary report.

Vichinsartvichai P, Sirirat S.

Prz Menopauzalny. 2016 Jun;15(2):90-5. doi: 10.5114/pm.2016.61191. Epub 2016 Jul 22.

2.

Incremental increases in economic burden parallels cardiometabolic risk factors in the US.

McQueen RB, Ghushchyan V, Olufade T, Sheehan JJ, Nair KV, Saseen JJ.

Diabetes Metab Syndr Obes. 2016 Aug 2;9:233-41. doi: 10.2147/DMSO.S106809. eCollection 2016.

3.

The Cohort Study on Prediction of Incidence of All-Cause Mortality by Metabolic Syndrome.

Li Z, Yang X, Yang J, Yang Z, Wang S, Sun F, Zhan S.

PLoS One. 2016 May 19;11(5):e0154990. doi: 10.1371/journal.pone.0154990. eCollection 2016.

4.

The clinical value of metabolic syndrome and risks of cardiometabolic events and mortality in the elderly: the Rotterdam study.

van Herpt TT, Dehghan A, van Hoek M, Ikram MA, Hofman A, Sijbrands EJ, Franco OH.

Cardiovasc Diabetol. 2016 Apr 27;15:69. doi: 10.1186/s12933-016-0387-4.

5.

Self-Reported Sleep Disordered Breathing as Risk Factor for Mortality in the Elderly.

Tsapanou A, Gu Y, O'Shea D, Manly J, Schupf N, Scarmeas N, Stern Y.

J Stroke Cerebrovasc Dis. 2016 Jun;25(6):1524-31. doi: 10.1016/j.jstrokecerebrovasdis.2016.03.008. Epub 2016 Apr 1.

PMID:
27053028
6.

Ginsenoside Rd and ischemic stroke; a short review of literatures.

Nabavi SF, Sureda A, Habtemariam S, Nabavi SM.

J Ginseng Res. 2015 Oct;39(4):299-303. doi: 10.1016/j.jgr.2015.02.002. Epub 2015 Feb 23. Review.

7.

Relationships between components of metabolic syndrome and coronary intravascular ultrasound atherosclerosis measures in women without obstructive coronary artery disease: the NHLBI-Sponsored Women's Ischemia Syndrome Evaluation Study.

Khaliq A, Johnson BD, Anderson RD, Bavry AA, Cooper-DeHoff RM, Handberg EM, Bairey Merz CN, Nicholls SJ, Nissen S, Pepine CJ.

Cardiovasc Endocrinol. 2015 Jun;4(2):45-52.

8.

Risk of Coronary Heart Disease in Different Criterion of Impaired Fasting Glucose: A Meta-Analysis.

Xu T, Liu W, Cai X, Ding J, Tang H, Huang Y, Hu Y.

Medicine (Baltimore). 2015 Oct;94(40):e1740. doi: 10.1097/MD.0000000000001740.

9.

Dietary Patterns and Risk for Metabolic Syndrome in Korean Women: A Cross-Sectional Study.

Choi JH, Woo HD, Lee JH, Kim J.

Medicine (Baltimore). 2015 Aug;94(34):e1424. doi: 10.1097/MD.0000000000001424.

10.

Associations of Metabolic Syndrome and its Components With Mortality in the Elderly: A Cohort Study of 73,547 Taiwanese Adults.

Yen YF, Hu HY, Lin IF, Lai YJ, Su VY, Pan SW, Ting WY, Su WJ.

Medicine (Baltimore). 2015 Jun;94(23):e956. doi: 10.1097/MD.0000000000000956.

11.

Metabolic syndrome: a risk factor for high intraocular pressure in the Israeli population.

Wygnanski-Jaffe T, Bieran I, Tekes-Manova D, Morad Y, Ashkenazi I, Mezer E.

Int J Ophthalmol. 2015 Apr 18;8(2):403-6. doi: 10.3980/j.issn.2222-3959.2015.02.34. eCollection 2015.

12.

Impact of age and gender on the prevalence and prognostic importance of the metabolic syndrome and its components in Europeans. The MORGAM Prospective Cohort Project.

Vishram JK, Borglykke A, Andreasen AH, Jeppesen J, Ibsen H, Jørgensen T, Palmieri L, Giampaoli S, Donfrancesco C, Kee F, Mancia G, Cesana G, Kuulasmaa K, Salomaa V, Sans S, Ferrieres J, Dallongeville J, Söderberg S, Arveiler D, Wagner A, Tunstall-Pedoe H, Drygas W, Olsen MH; MORGAM Project.

PLoS One. 2014 Sep 22;9(9):e107294. doi: 10.1371/journal.pone.0107294. eCollection 2014. Erratum in: PLoS One. 2015;10(5):e0128848.

13.

Insulin resistance and systemic inflammation, but not metabolic syndrome phenotype, predict 9 years mortality in older adults.

Zuliani G, Morieri ML, Volpato S, Maggio M, Cherubini A, Francesconi D, Bandinelli S, Paolisso G, Guralnik JM, Ferrucci L.

Atherosclerosis. 2014 Aug;235(2):538-45. doi: 10.1016/j.atherosclerosis.2014.05.959. Epub 2014 Jun 10.

14.

Prevalence of metabolic syndrome in elderly and agreement among four diagnostic criteria.

Saad MA, Cardoso GP, Martins Wde A, Velarde LG, Cruz Filho RA.

Arq Bras Cardiol. 2014 Mar;102(3):263-9. Epub 2014 Feb 10. English, Portuguese.

15.

Usefulness of metabolic syndrome score in the prediction of angiographic coronary artery disease severity according to the presence of diabetes mellitus: relation with inflammatory markers and adipokines.

Kim JY, Choi EY, Mun HS, Min PK, Yoon YW, Lee BK, Hong BK, Rim SJ, Kwon HM.

Cardiovasc Diabetol. 2013 Oct 2;12:140. doi: 10.1186/1475-2840-12-140.

16.

White blood cell counts as risk markers of developing metabolic syndrome and its components in the PREDIMED study.

Babio N, Ibarrola-Jurado N, Bulló M, Martínez-González MÁ, Wärnberg J, Salaverría I, Ortega-Calvo M, Estruch R, Serra-Majem L, Covas MI, Sorli JV, Salas-Salvadó J; PREDIMED Study Investigators.

PLoS One. 2013;8(3):e58354. doi: 10.1371/journal.pone.0058354. Epub 2013 Mar 19.

17.

The prognostic implication of metabolic syndrome in patients with heart failure.

Yoon HJ, Ahn Y, Kim KH, Park JC, Choi DJ, Han S, Jeon ES, Cho MC, Kim JJ, Yoo BS, Shin MS, Seong IW, Kang SM, Kim YJ, Kim HS, Chae SC, Oh BH, Lee MM, Ryu KH; Korea HF Registry.

Korean Circ J. 2013 Feb;43(2):87-92. doi: 10.4070/kcj.2013.43.2.87. Epub 2013 Feb 28.

18.

A Review of Brain-derived Neurotrophic Factor as a Candidate Biomarker in Schizophrenia.

Nurjono M, Lee J, Chong SA.

Clin Psychopharmacol Neurosci. 2012 Aug;10(2):61-70. doi: 10.9758/cpn.2012.10.2.61. Epub 2012 Aug 31.

19.

A prospective study of risk factors for cardiovascular events among the elderly.

Cabrera MA, de Andrade SM, Mesas AE.

Clin Interv Aging. 2012;7:463-8. doi: 10.2147/CIA.S37211. Epub 2012 Nov 1.

20.

An exploratory analysis of dynamic change of metabolic syndrome in relation to the risk of developing cardiovascular disease in a chinese cohort.

Zhou H, Guo Z, Hu X, Yu L, Xu B, Wu M, Zhou Z, Yang C; Group PMMJS Study.

Iran J Public Health. 2012;41(4):26-34. Epub 2012 Apr 30.

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