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Results: 1 to 20 of 164

Similar articles for PubMed (Select 23269655)

1.

Carbohydrate nutrition differs by diabetes status and is associated with dyslipidemia in Boston Puerto Rican adults without diabetes.

Van Rompay MI, McKeown NM, Castaneda-Sceppa C, Ordovás JM, Tucker KL.

J Nutr. 2013 Feb;143(2):182-8. doi: 10.3945/jn.112.168914. Epub 2012 Dec 26.

2.

White Rice Intake Varies in Its Association with Metabolic Markers of Diabetes and Dyslipidemia Across Region among Chinese Adults.

Dong F, Howard AG, Herring AH, Popkin BM, Gordon-Larsen P.

Ann Nutr Metab. 2015 Jun 11;66(4):209-218. [Epub ahead of print]

PMID:
26068010
3.

A Healthy Lifestyle Score Is Associated with Cardiometabolic and Neuroendocrine Risk Factors among Puerto Rican Adults.

Sotos-Prieto M, Bhupathiraju SN, Falcón LM, Gao X, Tucker KL, Mattei J.

J Nutr. 2015 Jul;145(7):1531-40. doi: 10.3945/jn.114.206391. Epub 2015 May 6.

PMID:
25948783
4.

Using Genetic Variants to Assess the Relationship Between Circulating Lipids and Type 2 Diabetes.

Fall T, Xie W, Poon W, Yaghootkar H, Mägi R; GENESIS Consortium, Knowles JW, Lyssenko V, Weedon M, Frayling TM, Ingelsson E.

Diabetes. 2015 Jul;64(7):2676-84. doi: 10.2337/db14-1710. Epub 2015 May 6.

PMID:
25948681
5.

Beneficial Effect of Higher Dietary Fiber Intake on Plasma HDL-C and TC/HDL-C Ratio among Chinese Rural-to-Urban Migrant Workers.

Zhou Q, Wu J, Tang J, Wang JJ, Lu CH, Wang PX.

Int J Environ Res Public Health. 2015 Apr 29;12(5):4726-38. doi: 10.3390/ijerph120504726.

6.

Relationship between Glycemic Load and Blood Lipid Level in Hospitalized Adult Chinese.

Li H, Liu H, Chen J, Li L, Wang H, Li J, Wang L.

Iran J Public Health. 2015 Mar;44(3):318-24.

7.

The association between carbohydrate-rich foods and risk of cardiovascular disease is not modified by genetic susceptibility to dyslipidemia as determined by 80 validated variants.

Sonestedt E, Hellstrand S, Schulz CA, Wallström P, Drake I, Ericson U, Gullberg B, Hedblad B, Orho-Melander M.

PLoS One. 2015 Apr 21;10(4):e0126104. doi: 10.1371/journal.pone.0126104. eCollection 2015.

8.

Training of carbohydrate estimation for people with diabetes using mobile augmented reality.

Domhardt M, Tiefengrabner M, Dinic R, Fötschl U, Oostingh GJ, Stütz T, Stechemesser L, Weitgasser R, Ginzinger SW.

J Diabetes Sci Technol. 2015 May;9(3):516-24. doi: 10.1177/1932296815578880. Epub 2015 Apr 16.

PMID:
25883165
9.

Dietary contributors to glycemic load in the REasons for Geographic and Racial Differences in Stroke study.

Shikany JM, Judd SE, Letter AJ, Ard JD, Newby PK.

Nutrition. 2015 May;31(5):708-15. doi: 10.1016/j.nut.2014.11.017. Epub 2014 Dec 20.

PMID:
25837217
10.

Egg consumption and risk of incident type 2 diabetes in men: the Kuopio Ischaemic Heart Disease Risk Factor Study.

Virtanen JK, Mursu J, Tuomainen TP, Virtanen HE, Voutilainen S.

Am J Clin Nutr. 2015 May;101(5):1088-96. doi: 10.3945/ajcn.114.104109. Epub 2015 Apr 1.

PMID:
25832339
11.

Medication type modifies inflammatory response to traffic exposure in a population with type 2 diabetes.

Rioux CL, Tucker KL, Brugge D, Mwamburi M.

Environ Pollut. 2015 Jul;202:58-65. doi: 10.1016/j.envpol.2015.03.012. Epub 2015 Mar 24.

PMID:
25805568
12.

Neighborhood socioeconomic context and change in allostatic load among older Puerto Ricans: The Boston Puerto Rican health study.

Jiménez MP, Osypuk TL, Arevalo S, Tucker KL, Falcon LM.

Health Place. 2015 May;33:1-8. doi: 10.1016/j.healthplace.2015.02.001. Epub 2015 Feb 20.

PMID:
25706323
13.

Validation and reproducibility of a semi-quantitative FFQ as a measure of dietary intake in adults from Puerto Rico.

Palacios C, Trak MA, Betancourt J, Joshipura K, Tucker KL.

Public Health Nutr. 2015 Jan 27:1-9. [Epub ahead of print] No abstract available.

PMID:
25621587
14.

Metabolic syndrome risk factors are associated with white rice intake in Korean adolescent girls and boys.

Song S, Young Paik H, Song WO, Song Y.

Br J Nutr. 2015 Feb;113(3):479-87. doi: 10.1017/S0007114514003845. Epub 2015 Jan 9.

PMID:
25572175
15.

Dietary substitutions for refined carbohydrate that show promise for reducing risk of type 2 diabetes in men and women.

Maki KC, Phillips AK.

J Nutr. 2015 Jan;145(1):159S-163S. doi: 10.3945/jn.114.195149. Epub 2014 Dec 3. Review.

PMID:
25527674
16.

A case-control study of glycemic index, glycemic load and dietary fiber intake and risk of adenocarcinomas and squamous cell carcinomas of the esophagus: the Australian Cancer Study.

Lahmann PH, Ibiebele TI, Webb PM, Nagle CM, Whiteman DC; Australian Cancer Study.

BMC Cancer. 2014 Nov 24;14:877. doi: 10.1186/1471-2407-14-877.

17.

Carbohydrate intake, glycemic index and prostate cancer risk.

Vidal AC, Williams CD, Allott EH, Howard LE, Grant DJ, McPhail M, Sourbeer KN, Hwa LP, Boffetta P, Hoyo C, Freedland SJ.

Prostate. 2015 Mar 1;75(4):430-9. doi: 10.1002/pros.22929. Epub 2014 Nov 21.

PMID:
25417840
18.

Diabetes nutrition therapy and dietary intake among individuals with Type 1 diabetes in China.

Jaacks LM, Liu W, Ji L, Mendez MA, Du S, Crandell J, Rosamond W, Mayer-Davis EJ.

Diabet Med. 2015 Mar;32(3):399-406. doi: 10.1111/dme.12634. Epub 2014 Dec 3.

PMID:
25407093
19.

Higher breakfast glycaemic load is associated with increased metabolic syndrome risk, including lower HDL-cholesterol concentrations and increased TAG concentrations, in adolescent girls.

Nicholl A, du Heaume M, Mori TA, Beilin LJ, Oddy WH, Bremner AP, O'Sullivan TA.

Br J Nutr. 2014 Dec;112(12):1974-83. doi: 10.1017/S0007114514003092. Epub 2014 Oct 20.

PMID:
25327283
20.

A genetic variant of the CAPN10 gene in Mexican subjects with dyslipidemia is associated with increased HDL-cholesterol concentrations after the consumption of a soy protein and soluble fiber dietary portfolio.

Guevara-Cruz M, Torres N, Tovar AR, Tejero ME, Castellanos-Jankiewicz A, del Bosque-Plata L.

Nutr Hosp. 2014 Sep 1;30(3):671-7. doi: 10.3305/nh.2014.30.3.7611.

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