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Items: 1 to 20 of 67

1.

Lipid and lipoprotein reference values from 133,450 Dutch Lifelines participants: Age- and gender-specific baseline lipid values and percentiles.

Balder JW, de Vries JK, Nolte IM, Lansberg PJ, Kuivenhoven JA, Kamphuisen PW.

J Clin Lipidol. 2017 Jun 1. pii: S1933-2874(17)30333-1. doi: 10.1016/j.jacl.2017.05.007. [Epub ahead of print]

2.

Interrelationship between serum 25-hydroxyvitamin D3 concentration and lipid profiles in premenopausal Indian women.

Patel PA, Patel PP, Mughal Z, Padidela R, Patel AD, Patwardhan V, Chiplonkar SA, Khadilkar V, Khadilkar A.

Indian J Endocrinol Metab. 2017 Jan-Feb;21(1):96-101. doi: 10.4103/2230-8210.196014.

3.

Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study.

Al-Rubean K, Youssef AM, AlFarsi Y, Al-Sharqawi AH, Bawazeer N, AlOtaibi MT, AlRumaih FI, Zaidi MS.

Ann Saudi Med. 2017 Jan-Feb;37(1):21-30. doi: 10.5144/0256-4947.2017.21.

4.

Adiponectin/(FBG × FIns) as a predictor of insulin sensitivity and metabolic syndrome in patients with polycystic ovary syndrome.

Xu X, Lai Y, Yang G, Yang M, Li L, Zhang Q, Liu H, Zheng H, Zhu D.

Medicine (Baltimore). 2016 Dec;95(49):e5524.

5.

Duration of Fasting, Serum Lipids, and Metabolic Profile in Early Childhood.

Anderson LN, Maguire JL, Lebovic G, Hanley AJ, Hamilton J, Adeli K, McCrindle BW, Borkhoff CM, Parkin PC, Birken CS; Applied Research Group for Kids! (TARGet Kids!) Collaboration.

J Pediatr. 2017 Jan;180:47-52.e1. doi: 10.1016/j.jpeds.2016.09.005. Epub 2016 Oct 11.

PMID:
27742126
6.

Hypertriglyceridemia: A simple approach to identify insulin resistance and enhanced cardio-metabolic risk in patients with prediabetes.

Abbasi F, Kohli P, Reaven GM, Knowles JW.

Diabetes Res Clin Pract. 2016 Oct;120:156-61. doi: 10.1016/j.diabres.2016.07.024. Epub 2016 Aug 6.

PMID:
27565692
7.

Prevalence of Undiagnosed Diabetes in Rheumatoid Arthritis: an OGTT Study.

Ursini F, Russo E, D'Angelo S, Arturi F, Hribal ML, D'Antona L, Bruno C, Tripepi G, Naty S, De Sarro G, Olivieri I, Grembiale RD.

Medicine (Baltimore). 2016 Feb;95(7):e2552. doi: 10.1097/MD.0000000000002552.

8.

Serum osteocalcin in subjects with metabolic syndrome and central obesity.

Bador KM, Wee LD, Halim SA, Fadi MF, Santhiran P, Rosli NF, Mustafa N.

Diabetes Metab Syndr. 2016 Jan-Mar;10(1 Suppl 1):S42-5. doi: 10.1016/j.dsx.2015.09.009. Epub 2015 Oct 9.

PMID:
26482049
9.

Design and baseline characteristics of a population-based study of eye disease in southern Chinese people: the Dongguan Eye Study.

Meng Q, Cui Y, Zhang M, Zhang L, Zhang L, Zhang J, Kuang J, Liu Q, Zheng Y, Luo Z, Liu H, Zhu G, Cai J, Zhang G, Wen X, Guo H.

Clin Exp Ophthalmol. 2016 Apr;44(3):170-80. doi: 10.1111/ceo.12670. Epub 2016 Feb 5.

PMID:
26468890
10.

Effects of APOE rs429358, rs7412 and GSTM1/GSTT1 Polymorphism on Plasma and Erythrocyte Antioxidant Parameters and Cognition in Old Chinese Adults.

Yuan L, Liu J, Dong L, Cai C, Wang S, Wang B, Xiao R.

Nutrients. 2015 Sep 24;7(10):8261-73. doi: 10.3390/nu7105391.

11.

The Potential Impact of Displacing Sedentary Time in Adults with Type 2 Diabetes.

Falconer CL, Page AS, Andrews RC, Cooper AR.

Med Sci Sports Exerc. 2015 Oct;47(10):2070-5. doi: 10.1249/MSS.0000000000000651.

12.

Contrasting association of circulating sCD14 with insulin sensitivity in non-obese and morbidly obese subjects.

de Courten B, Moreno-Navarrete JM, Lyons J, Soldatos G, de Courten M, Dougherty S, Forbes J, Fernández-Real JM.

Mol Nutr Food Res. 2016 Jan;60(1):103-9. doi: 10.1002/mnfr.201500102. Epub 2015 Jul 20.

PMID:
26114238
13.

Serum Triglyceride Levels Independently Contribute to the Estimation of Visceral Fat Amount Among Nondiabetic Obese Adults.

Huang CY, Huang HL, Yang KC, Lee LT, Yang WS, Huang KC, Tseng FY.

Medicine (Baltimore). 2015 Jun;94(23):e965. doi: 10.1097/MD.0000000000000965.

14.

Accelerometer-measured sedentary time and cardiometabolic biomarkers: A systematic review.

Brocklebank LA, Falconer CL, Page AS, Perry R, Cooper AR.

Prev Med. 2015 Jul;76:92-102. doi: 10.1016/j.ypmed.2015.04.013. Epub 2015 Apr 23. Review.

15.

Lipid and glucose alterations in perinatally-acquired HIV-infected adolescents and young adults.

Blázquez D, Ramos-Amador JT, Saínz T, Mellado MJ, García-Ascaso M, De José MI, Rojo P, Navarro ML, Muñoz-Fernández MÁ, Saavedra J, Roa MA, Jiménez S, Beceiro J, Prieto L, Hortelano MG, González-Tomé MI.

BMC Infect Dis. 2015 Mar 8;15:119. doi: 10.1186/s12879-015-0853-8.

16.

Mother's pre-pregnancy BMI is an important determinant of adverse cardiometabolic risk in childhood.

Tan HC, Roberts J, Catov J, Krishnamurthy R, Shypailo R, Bacha F.

Pediatr Diabetes. 2015 Sep;16(6):419-26. doi: 10.1111/pedi.12273. Epub 2015 Mar 20.

17.

Non-hemodynamic predictors of arterial stiffness after 17 years of follow-up: the Malmö Diet and Cancer study.

Gottsäter M, Östling G, Persson M, Engström G, Melander O, Nilsson PM.

J Hypertens. 2015 May;33(5):957-65. doi: 10.1097/HJH.0000000000000520.

18.

Muscle inactivity is adversely associated with biomarkers in physically active adults.

Pesola AJ, Laukkanen A, Tikkanen O, Sipilä S, Kainulainen H, Finni T.

Med Sci Sports Exerc. 2015 Jun;47(6):1188-96. doi: 10.1249/MSS.0000000000000527.

PMID:
25251049
19.

Comparison of the body adiposity index to body mass index in Korean women.

Sung YA, Oh JY, Lee H.

Yonsei Med J. 2014 Jul;55(4):1028-35. doi: 10.3349/ymj.2014.55.4.1028.

20.

Triglycerides and ratio of triglycerides to high-density lipoprotein cholesterol are better than liver enzymes to identify insulin resistance in urban middle-aged and older non-obese Chinese without diabetes.

Sun Y, Li W, Hou X, Wang C, Li C, Zhang X, Yang W, Ma Z, Wang W, Ning G, Zheng H, Ma A, Song J, Lin P, Liang K, Liu F, Gong L, Wang M, Xiao J, Yan F, Yang J, Wang L, Tian M, Liu J, Zhao R, Zhu P, Chen L.

Chin Med J (Engl). 2014;127(10):1858-62.

PMID:
24824245

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