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Items: 1 to 20 of 106

1.

Association of glucose homeostasis and metabolic syndrome with knee cartilage defects and cartilage volume in young adults.

Meng T, Antony B, Venn A, Fraser B, Cicuttini F, March L, Cross M, Dwyer T, Jones G, Laslett LL, Ding C.

Semin Arthritis Rheum. 2019 Oct 15. pii: S0049-0172(19)30657-2. doi: 10.1016/j.semarthrit.2019.10.001. [Epub ahead of print]

PMID:
31699372
2.

Cut-off points of homeostasis model assessment of insulin resistance, beta-cell function, and fasting serum insulin to identify future type 2 diabetes: Tehran Lipid and Glucose Study.

Ghasemi A, Tohidi M, Derakhshan A, Hasheminia M, Azizi F, Hadaegh F.

Acta Diabetol. 2015 Oct;52(5):905-15. doi: 10.1007/s00592-015-0730-3. Epub 2015 Mar 22.

PMID:
25794879
3.

Association of childhood adiposity measures with adulthood knee cartilage defects and bone marrow lesions: a 25-year cohort study.

Meng T, Thayer S, Venn A, Wu F, Cicuttini F, March L, Dwyer T, Halliday A, Cross M, Laslett LL, Jones G, Ding C, Antony B.

Osteoarthritis Cartilage. 2018 Aug;26(8):1055-1062. doi: 10.1016/j.joca.2018.05.008. Epub 2018 May 25.

4.

Predictive utility of childhood anthropometric measures on adult glucose homeostasis measures: a 20-year cohort study.

Wu F, Ho V, Fraser BJ, Schmidt MD, Dwyer T, Venn AJ, Magnussen CG.

Int J Obes (Lond). 2018 Oct;42(10):1762-1770. doi: 10.1038/s41366-018-0177-z. Epub 2018 Aug 17.

PMID:
30120428
5.

Association between metabolic syndrome and knee structural change on MRI.

Pan F, Tian J, Mattap SM, Cicuttini F, Jones G.

Rheumatology (Oxford). 2020 Jan 1;59(1):185-193. doi: 10.1093/rheumatology/kez266.

PMID:
31292644
6.

Waist circumference provides an indication of numerous cardiometabolic risk factors in adults with cerebral palsy.

Ryan JM, Crowley VE, Hensey O, McGahey A, Gormley J.

Arch Phys Med Rehabil. 2014 Aug;95(8):1540-6. doi: 10.1016/j.apmr.2014.03.029. Epub 2014 Apr 15.

7.

C-Peptide Is a Sensitive Indicator for the Diagnosis of Metabolic Syndrome in Subjects from Central Mexico.

Gonzalez-Mejia ME, Porchia LM, Torres-Rasgado E, Ruiz-Vivanco G, Pulido-Pérez P, Báez-Duarte BG, Pérez-Fuentes R.

Metab Syndr Relat Disord. 2016 May;14(4):210-6. doi: 10.1089/met.2015.0067. Epub 2016 Feb 10.

PMID:
26863426
8.

Computational methods are significant determinants of the associations and definitions of insulin resistance using the homeostasis model assessment in women of reproductive age.

Safar FH, Mojiminiyi OA, Al-Rumaih HM, Diejomaoh MF.

Clin Chem. 2011 Feb;57(2):279-85. doi: 10.1373/clinchem.2010.152025. Epub 2010 Dec 2.

9.

Fasting plasma glucose is a stronger predictor of diabetes than triglyceride-glucose index, triglycerides/high-density lipoprotein cholesterol, and homeostasis model assessment of insulin resistance: Tehran Lipid and Glucose Study.

Tohidi M, Baghbani-Oskouei A, Ahanchi NS, Azizi F, Hadaegh F.

Acta Diabetol. 2018 Oct;55(10):1067-1074. doi: 10.1007/s00592-018-1195-y. Epub 2018 Jul 31.

PMID:
30066042
10.

Poor Sleep Quality is Associated with Insulin Resistance in Postmenopausal Women With and Without Metabolic Syndrome.

Kline CE, Hall MH, Buysse DJ, Earnest CP, Church TS.

Metab Syndr Relat Disord. 2018 May;16(4):183-189. doi: 10.1089/met.2018.0013. Epub 2018 Mar 20.

11.

HDL2-cholesterol/HDL3-cholesterol ratio was associated with insulin resistance, high-molecular-weight adiponectin, and components for metabolic syndrome in Japanese.

Moriyama K, Negami M, Takahashi E.

Diabetes Res Clin Pract. 2014 Nov;106(2):360-5. doi: 10.1016/j.diabres.2014.08.007. Epub 2014 Aug 15.

PMID:
25201260
13.
14.

[Characteristics of newly diagnosed diabetes patients with young onset in the West China Hospital of Sichuan University].

Gong Y, Che TT, Liu SF, Ren Y.

Sichuan Da Xue Xue Bao Yi Xue Ban. 2014 May;45(3):524-8. Chinese.

PMID:
24941832
15.

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
16.

Associations Between Serum Uric Acid Concentrations and Cardiometabolic Risk and Renal Injury in Obese and Overweight Children

Özalp Kızılay D, Şen S, Ersoy B.

J Clin Res Pediatr Endocrinol. 2019 Sep 3;11(3):262-269. doi: 10.4274/jcrpe.galenos.2018.2019.0241. Epub 2019 Feb 14.

17.

Association of high sensitivity C-reactive protein with the components of metabolic syndrome in diabetic and non-diabetic individuals.

Sigdel M, Kumar A, Gyawali P, Shrestha R, Tuladhar ET, Jha B.

J Clin Diagn Res. 2014 Jun;8(6):CC11-3. doi: 10.7860/JCDR/2014/8085.4522. Epub 2014 Jun 20.

18.

Comparison of indices of insulin resistance with metabolic syndrome classifications to predict the development of impaired fasting glucose in overweight and obese subjects: a 3-year prospective study.

Shand BI, Scott RS, Lewis JG, Elder PA, Frampton CM.

Int J Obes (Lond). 2009 Nov;33(11):1274-9. doi: 10.1038/ijo.2009.169. Epub 2009 Sep 1.

PMID:
19721448
19.

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.

20.

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