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Items: 1 to 20 of 23

1.
3.

High-flow-mediated constriction in adults is not influenced by biomarkers of cardiovascular and metabolic risk.

Ostrem JD, Evanoff NG, Ryder JR, Steinberger J, Sinaiko AR, Bisch KL, Brinck NM, Dengel DR.

J Clin Ultrasound. 2017 Jan;45(1):35-42. doi: 10.1002/jcu.22387. Epub 2016 Aug 5.

4.

A Review of Epigenetic Markers of Tobacco and Alcohol Consumption.

Philibert R, Erwin C.

Behav Sci Law. 2015 Oct;33(5):675-90. doi: 10.1002/bsl.2202. Epub 2015 Sep 14. Review.

5.

Chronic kidney disease among overweight and obesity with and without metabolic syndrome in an urban Chinese cohort.

Cao X, Zhou J, Yuan H, Wu L, Chen Z.

BMC Nephrol. 2015 Jun 18;16:85. doi: 10.1186/s12882-015-0083-8.

6.

Gender-specific association between tobacco smoking and central obesity among 0.5 million Chinese people: the China Kadoorie Biobank Study.

Lv J, Chen W, Sun D, Li S, Millwood IY, Smith M, Guo Y, Bian Z, Yu C, Zhou H, Tan Y, Chen J, Chen Z, Li L; China Kadoorie Biobank collaborative group.

PLoS One. 2015 Apr 21;10(4):e0124586. doi: 10.1371/journal.pone.0124586. eCollection 2015.

7.

Psoriasis and Metabolic Syndrome--scientific evidence and therapeutic implications.

Voiculescu VM, Lupu M, Papagheorghe L, Giurcaneanu C, Micu E.

J Med Life. 2014 Oct-Dec;7(4):468-71. Review.

8.

Short term fat feeding rapidly increases plasma insulin but does not result in dyslipidaemia.

Barzel B, Weir JM, Meikle PJ, Burke SL, Armitage JA, Head GA.

Front Physiol. 2014 Dec 2;5:469. doi: 10.3389/fphys.2014.00469. eCollection 2014.

9.

Increased risk of diabetes development in subjects with the hypertriglyceridemic waist phenotype: a 4-year longitudinal study.

Han KJ, Lee SY, Kim NH, Chae HB, Lee TH, Jang CM, Yoo KM, Park HJ, Lee MK, Jeon WS, Park SE, Park CY, Lee WY, Oh KW, Park SW, Rhee EJ.

Endocrinol Metab (Seoul). 2014 Dec 29;29(4):514-21. doi: 10.3803/EnM.2014.29.4.514. Epub 2014 Jul 2.

10.

Baseline levels, and changes over time in body mass index and fasting insulin, and their relationship to change in metabolic trait clustering.

Rutter MK, Sullivan LM, Fox CS, Wilson PW, Nathan DM, Vasan RS, D'Agostino RB Sr, Meigs JB.

Metab Syndr Relat Disord. 2014 Sep;12(7):372-80. doi: 10.1089/met.2013.0148. Epub 2014 Jul 9.

11.

Adipokines, metabolic syndrome and rheumatic diseases.

Abella V, Scotece M, Conde J, López V, Lazzaro V, Pino J, Gómez-Reino JJ, Gualillo O.

J Immunol Res. 2014;2014:343746. doi: 10.1155/2014/343746. Epub 2014 Feb 26. Review.

12.

Trends in overweight and obesity over 22 years in a large adult population: the HUNT Study, Norway.

Midthjell K, Lee CM, Langhammer A, Krokstad S, Holmen TL, Hveem K, Colagiuri S, Holmen J.

Clin Obes. 2013 Feb;3(1-2):12-20. Epub 2013 Mar 19.

13.

Description and prediction of the development of metabolic syndrome: a longitudinal analysis using a markov model approach.

Hwang LC, Bai CH, You SL, Sun CA, Chen CJ.

PLoS One. 2013 Jun 20;8(6):e67436. doi: 10.1371/journal.pone.0067436. Print 2013.

14.

What about non-alcoholic fatty liver disease as a new criterion to define metabolic syndrome?

Tarantino G, Finelli C.

World J Gastroenterol. 2013 Jun 14;19(22):3375-84. doi: 10.3748/wjg.v19.i22.3375. Review.

15.

Paternal metabolic and cardiovascular risk factors for fetal growth restriction: a case-control study.

Hillman S, Peebles DM, Williams DJ.

Diabetes Care. 2013 Jun;36(6):1675-80. doi: 10.2337/dc12-1280. Epub 2013 Jan 11.

16.

A closer look at the role of urotensin II in the metabolic syndrome.

Barrette PO, Schwertani AG.

Front Endocrinol (Lausanne). 2012 Dec 28;3:165. doi: 10.3389/fendo.2012.00165. eCollection 2012.

17.

Comparison of the effect of the metabolic syndrome and multiple traditional cardiovascular risk factors on vascular function.

Li J, Flammer AJ, Lennon RJ, Nelson RE, Gulati R, Friedman PA, Thomas RJ, Sandhu NP, Hua Q, Lerman LO, Lerman A.

Mayo Clin Proc. 2012 Oct;87(10):968-75. doi: 10.1016/j.mayocp.2012.07.004. Epub 2012 Sep 12.

18.

The metabolic syndrome in thyroid disease: A report from Nigeria.

Ogbera AO, Kuku S, Dada O.

Indian J Endocrinol Metab. 2012 May;16(3):417-22. doi: 10.4103/2230-8210.95688.

19.

Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance.

Rothwell SW, Poth M, McIver H, Ayika C, Eidelman O, Jozwik C, Pollard HB.

Hum Genomics Proteomics. 2011;2011:323629. doi: 10.4061/2011/323629. Epub 2011 Oct 6.

20.

The influence of hip circumference on the relationship between abdominal obesity and mortality.

Cameron AJ, Magliano DJ, Shaw JE, Zimmet PZ, Carstensen B, Alberti KG, Tuomilehto J, Barr EL, Pauvaday VK, Kowlessur S, Söderberg S.

Int J Epidemiol. 2012 Apr;41(2):484-94. doi: 10.1093/ije/dyr198. Epub 2012 Jan 22.

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